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1
Kho, Y. Y., S. Hashim, and C. F. Soon. "Vital physiological signs monitoring." International Journal of Computer Applications in Technology 21, no. 1/2 (2004): 58. http://dx.doi.org/10.1504/ijcat.2004.005340.
2
Lv, Zhihan, and Yuxi Li. "Wearable Sensors for Vital Signs Measurement: A Survey." Journal of Sensor and Actuator Networks 11, no. 1 (March 11, 2022): 19. http://dx.doi.org/10.3390/jsan11010019.
Анотація:
With the outbreak of coronavirus disease-2019 (COVID-19) worldwide, developments in the medical field have aroused concerns within society. As science and technology develop, wearable medical sensors have become the main means of medical data acquisition. To analyze the intelligent development status of wearable medical sensors, the current work classifies and prospects the application status and functions of wireless communication wearable medical sensors, based on human physiological data acquisition in the medical field. By understanding its working principles, data acquisition modes and action modes, the work chiefly analyzes the application of wearable medical sensors in vascular infarction, respiratory intensity, body temperature, blood oxygen concentration, and sleep detection, and reflects the key role of wearable medical sensors in human physiological data acquisition. Further exploration and prospecting are made by investigating the improvement of information security performance of wearable medical sensors, the improvement of biological adaptability and biodegradability of new materials, and the integration of wearable medical sensors and intelligence-assisted rehabilitation. The research expects to provide a reference for the intelligent development of wearable medical sensors and real-time monitoring of human health in the follow-up medical field.
3
Vujanac, Ivan, Danijela Kirovski, Jovan Bojkovski, Radisa Prodanovic, Bozidar Savic, and Horea Samanc. "Effect of heat stress on vital signs in high-yield dairy cows." Veterinarski glasnik 64, no. 1-2 (2010): 53–63. http://dx.doi.org/10.2298/vetgl1002053v.
Анотація:
The objective of this work was to examine the influence of outer temperature on values of the vital signs (temperature, pulse, respiration) in high-yield dairy cows in early stages of lactation, as well as to establish, on the grounds of the degree of correlation between the values for the vital signs and the temperature humidity index (THI), possibilities for using the examined physiological parameters of the organism as an indicator of heat stress. The experiment covered 10 high-yield dairy cows in the first phase of lactation. The investigations were carried out in the course of July and the first half of August. During the course of the experiment, the average THI was determined daily. An average daily THI higher than 70 indicated that the animal had been exposed to heat stress on that day. Vital signs were measured on twelve occasions during the period of investigation (June 30, July 4, July 7, July 10, July 14, July 17, July 21, July 24, July 29, August 5, August 11, and August 14). It was established on the grounds of the THI values that the examined animals were exposed to heat stress on June 30, July 4, July 7, July 14, July 17, July 21, July 29, August 5, and August 14, while there was no heat stress on July 10, July 24, and August 11. The average body temperature during all the periods of examination, with the exception of July 24, was above the upper physiological limit. A high degree of correlation was established between body temperature and the heat index (r = +0. 509; p = 0.05). The number of respiratory movements per minute was above the physiological values during the entire period of investigation. There was a high degree of correlation between the number of respiratory movements and THI (r = + 0.625; p<0.05). The average pulse values and number of contractions of the rumen did not vary significantly during the period of investigation. No significant correlation was established between the pulse and THI values, or between motoric activities of the rumen and THI. The results obtained in this work demonstrate that, in high-yield dairy cows exposed to moderate heat stress, the body temperature and the number of respiratory movements are above physiologically permitted values. On these grounds, it can be concluded that these two parameters of the vital signs can be used as physiological indicators of heat stress. .
4
Bossung, Verena, Adrian Singer, Tiara Ratz, Martina Rothenbühler, Brigitte Leeners, and Nina Kimmich. "Changes in Heart Rate, Heart Rate Variability, Breathing Rate, and Skin Temperature throughout Pregnancy and the Impact of Emotions—A Longitudinal Evaluation Using a Sensor Bracelet." Sensors 23, no. 14 (July 23, 2023): 6620. http://dx.doi.org/10.3390/s23146620.
Анотація:
(1) Background: Basic vital signs change during normal pregnancy as they reflect the adaptation of maternal physiology. Electronic wearables like fitness bracelets have the potential to provide vital signs continuously in the home environment of pregnant women. (2) Methods: We performed a prospective observational study from November 2019 to November 2020 including healthy pregnant women, who recorded their wrist skin temperature, heart rate, heart rate variability, and breathing rate using an electronic wearable. In addition, eight emotions were assessed weekly using five-point Likert scales. Descriptive statistics and a multivariate model were applied to correlate the physiological parameters with maternal emotions. (3) Results: We analyzed data from 23 women using the electronic wearable during pregnancy. We calculated standard curves for each physiological parameter, which partially differed from the literature. We showed a significant association of several emotions like feeling stressed, tired, or happy with the course of physiological parameters. (4) Conclusions: Our data indicate that electronic wearables are helpful for closely observing vital signs in pregnancy and to establish modern curves for the physiological course of these parameters. In addition to physiological adaptation mechanisms and pregnancy disorders, emotions have the potential to influence the course of physiological parameters in pregnancy.
5
Wang, Zixia, Shuai Zha, Baoxian Yu, Pengbin Chen, Zhiqiang Pang, and Han Zhang. "Sleep Staging Using Noncontact-Measured Vital Signs." Journal of Healthcare Engineering 2022 (July 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/2016598.
Анотація:
As a physiological phenomenon, sleep takes up approximately 30% of human life and significantly affects people’s quality of life. To assess the quality of night sleep, polysomnography (PSG) has been recognized as the gold standard for sleep staging. The drawbacks of such a clinical device, however, are obvious, since PSG limits the patient’s mobility during the night, which is inconvenient for in-home monitoring. In this paper, a noncontact vital signs monitoring system using the piezoelectric sensors is deployed. Using the so-designed noncontact sensing system, heartbeat interval (HI), respiratory interval (RI), and body movements (BM) are separated and recorded, from which a new dimension of vital signs, referred to as the coordination of heartbeat interval and respiratory interval (CHR), is obtained. By extracting both the independent features of HI, RI, and BM and the coordinated features of CHR in different timescales, Wake-REM-NREM sleep staging is performed, and a postprocessing of staging fusion algorithm is proposed to refine the accuracy of classification. A total of 17 all-night recordings of noncontact measurement simultaneous with PSG from 10 healthy subjects were examined, and the leave-one-out cross-validation was adopted to assess the performance of Wake-REM-NREM sleep staging. Taking the gold standard of PSG as reference, numerical results show that the proposed sleep staging achieves an averaged accuracy and Cohen’s Kappa index of 82.42% and 0.63, respectively, and performs robust to subjects suffering from sleep-disordered breathing.
6
El Abbaoui, Amal, David Sodoyer, and Fouzia Elbahhar. "Contactless Heart and Respiration Rates Estimation and Classification of Driver Physiological States Using CW Radar and Temporal Neural Networks." Sensors 23, no. 23 (November 28, 2023): 9457. http://dx.doi.org/10.3390/s23239457.
Анотація:
The measurement and analysis of vital signs are a subject of significant research interest, particularly for monitoring the driver’s physiological state, which is of crucial importance for road safety. Various approaches have been proposed using contact techniques to measure vital signs. However, all of these methods are invasive and cumbersome for the driver. This paper proposes using a non-contact sensor based on continuous wave (CW) radar at 24 GHz to measure vital signs. We associate these measurements with distinct temporal neural networks to analyze the signals to detect and extract heart and respiration rates as well as classify the physiological state of the driver. This approach offers robust performance in estimating the exact values of heart and respiration rates and in classifying the driver’s physiological state. It is non-invasive and requires no physical contact with the driver, making it particularly practical and safe. The results presented in this paper, derived from the use of a 1D Convolutional Neural Network (1D-CNN), a Temporal Convolutional Network (TCN), a Recurrent Neural Network particularly the Bidirectional Long Short-Term Memory (Bi-LSTM), and a Convolutional Recurrent Neural Network (CRNN). Among these, the CRNN emerged as the most effective Deep Learning approach for vital signal analysis.
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Martins, José Carlos Amado, Helisamara Mota Guedes, Cristiane Chaves de Souza, and Tânia Couto Machado Chianca. "Associação entre sinais vitais e Sistema Manchester de Triagem: estudo observacional retrospectivo." Online Brazilian Journal of Nursing 16, no. 4 (August 31, 2018): 379. http://dx.doi.org/10.17665/1676-4285.20175876.
Анотація:
Aim: To evaluate the association between vital signs collected at the patient's entrance to the emergency department and the risk levels of the Manchester Triage System (MTS). Method: This is a retrospective observational study; whose sample was 154,714 patients. The exposure factor was the vital signs data, and the primary endpoint was the level of risk of MTS. Statistical, descriptive and inferential analyzes were conducted. Results: The most evaluated vital data was pain intensity; blood pressure was the least evaluated. Changes in heart rate to more or less of physiological patterns have increased the clinical priority of patients. Discussion: The higher the level of severity of MTS, the greater the variability of the mean of the vital signs evaluated. Conclusion: More severe patients tend to present greater variation in terms of vital signs on admission to the emergency department.
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De Sario Velasquez, Gioacchino D., Antonio J. Forte, Christopher J. McLeod, Charles J. Bruce, Laura M. Pacheco-Spann, Karla C. Maita, Francisco R. Avila, et al. "Predicting Cardiopulmonary Arrest with Digital Biomarkers: A Systematic Review." Journal of Clinical Medicine 12, no. 23 (November 30, 2023): 7430. http://dx.doi.org/10.3390/jcm12237430.
Анотація:
(1) Background: Telemetry units allow the continuous monitoring of vital signs and ECG of patients. Such physiological indicators work as the digital signatures and biomarkers of disease that can aid in detecting abnormalities that appear before cardiac arrests (CAs). This review aims to identify the vital sign abnormalities measured by telemetry systems that most accurately predict CAs. (2) Methods: We conducted a systematic review using PubMed, Embase, Web of Science, and MEDLINE to search studies evaluating telemetry-detected vital signs that preceded in-hospital CAs (IHCAs). (3) Results and Discussion: Out of 45 studies, 9 met the eligibility criteria. Seven studies were case series, and 2 were case controls. Four studies evaluated ECG parameters, and 5 evaluated other physiological indicators such as blood pressure, heart rate, respiratory rate, oxygen saturation, and temperature. Vital sign changes were highly frequent among participants and reached statistical significance compared to control subjects. There was no single vital sign change pattern found in all patients. ECG alarm thresholds may be adjustable to reduce alarm fatigue. Our review was limited by the significant dissimilarities of the studies on methodology and objectives. (4) Conclusions: Evidence confirms that changes in vital signs have the potential for predicting IHCAs. There is no consensus on how to best analyze these digital biomarkers. More rigorous and larger-scale prospective studies are needed to determine the predictive value of telemetry-detected vital signs for IHCAs.
9
Kaputa, David, David Price, and John D. Enderle. "A Portable, Inexpensive, Wireless Vital Signs Monitoring System." Biomedical Instrumentation & Technology 44, no. 4 (July 1, 2010): 350–53. http://dx.doi.org/10.2345/0899-8205-44.4.350.
Анотація:
Abstract The University of Connecticut, Department of Biomedical Engineering has developed a device to be used by patients to collect physiological data outside of a medical facility. This device facilitates modes of data collection that would be expensive, inconvenient, or impossible to obtain by traditional means within the medical facility. Data can be collected on specific days, at specific times, during specific activities, or while traveling. The device uses biosensors to obtain information such as pulse oximetry (SpO2), heart rate, electrocardiogram (ECG), non-invasive blood pressure (NIBP), and weight which are sent via Bluetooth to an interactive monitoring device. The data can then be downloaded to an electronic storage device or transmitted to a company server, physician's office, or hospital. The data collection software is usable on any computer device with Bluetooth capability, thereby removing the need for special hardware for the monitoring device and reducing the total cost of the system. The modular biosensors can be added or removed as needed without changing the monitoring device software. The user is prompted by easy-to-follow instructions written in non-technical language. Additional features, such as screens with large buttons and large text, allow for use by those with limited vision or limited motor skills.
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Früh, Jonas, Andre Fuchs, Tafese Beyene Tufa, Loraine Früh, Zewdu Hurissa, Hans Martin Orth, Johannes Georg Bode, Kirsten Alexandra Eberhardt, Dieter Häussinger, and Torsten Feldt. "Variation of vital signs with potential to influence the performance of qSOFA scoring in the Ethiopian general population at different altitudes of residency: A multisite cross-sectional study." PLOS ONE 16, no. 2 (February 4, 2021): e0245496. http://dx.doi.org/10.1371/journal.pone.0245496.
Анотація:
Introduction The physiological range of different vital signs is dependent on various environmental and individual factors. There is a strong interdependent relationship between vital signs and health conditions. Deviations of the physiological range are commonly used for risk assessment in clinical scores, e.g. respiratory rate (RR) and systolic blood pressure (BPsys) in patients with infections within the quick sequential organ failure assessment (qSOFA) score. A limited number of studies have evaluated the performance of such scores in resource-limited health care settings, showing inconsistent results with mostly poor discriminative power. Divergent standard values of vital parameters in different populations, e.g. could influence the accuracy of various clinical scores. Methods This multisite cross-sectional observational study was performed among Ethiopians residing at various altitudes in the cities of Asella (2400m above sea level (a.s.l.)), Adama (1600m a.s.l.), and Semara (400m a.s.l.). Volunteers from the local general population were asked to complete a brief questionnaire and have vital signs measured. Individuals reporting acute or chronic illness were excluded. Results A positive qSOFA score (i.e. ≥2), indicating severe illness in patients with infection, was common among the studied population (n = 612). The proportion of participants with a positive qSOFA score was significantly higher in Asella (28.1%; 55/196), compared with Adama, (8.3%; 19/230; p<0.001) and Semara (15.1%; 28/186; p = 0.005). Concerning the parameters comprised in qSOFA, the thresholds for RR (≥22/min) were reached in 60.7%, 34.8%, and 38.2%, and for BPsys (≤100 mmHg) in 48.5%, 27.8%, and 36.0% in participants from Asella, Adama, and Semara, respectively. Discussion The high positivity rate of qSOFA score in the studied population without signs of acute infection may be explained by variations of the physiological range of different vital signs, possibly related to the altitude of residence. Adaptation of existing scores using local standard values could be helpful for reliable risk assessment.
11
Srinivasan, Jayaram, and Patrick J. Breheny. "Meditation for Quality Improvement of Medical Encounters: Single-Intervention, Vedanta-Based Meditation Effects on Vital Signs and Mood Indices." Journal of Evidence-Based Complementary & Alternative Medicine 17, no. 2 (January 30, 2012): 96–103. http://dx.doi.org/10.1177/2156587211434083.
Анотація:
A 15-minute, single-intervention, individually guided, Vedanta-based meditation was evaluated for acute effects on vital signs and mood indices. This study included 99 volunteers. Subjects were led in meditations incorporating breathing techniques, relaxation exercises, mental imagery, and silent mantra repetition. Pre- and post-intervention vital signs and mood indices were assessed, including heart rate, respiratory rate, blood pressure, temperature, Beck Depression Inventory (BDI), and Likert scales for mood. The meditation was shown to have statistically significant effects in the immediate improvement of vital signs and mood indices. The most substantial effects occurred for blood pressure, respiratory rate, Beck Depression Inventory, depression, anxiousness, happiness, and peacefulness. Also, males experienced greater physiological benefit whereas females experienced greater psychological benefit. The results of this study could be useful in developing gender-specific meditations to improve vital signs and mood indices in acute settings.
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Essay, Patrick, Baran Balkan, and Vignesh Subbian. "Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset." JMIR Medical Informatics 8, no. 8 (August 7, 2020): e19892. http://dx.doi.org/10.2196/19892.
Анотація:
Background Heart failure is a leading cause of mortality and morbidity worldwide. Acute heart failure, broadly defined as rapid onset of new or worsening signs and symptoms of heart failure, often requires hospitalization and admission to the intensive care unit (ICU). This acute condition is highly heterogeneous and less well-understood as compared to chronic heart failure. The ICU, through detailed and continuously monitored patient data, provides an opportunity to retrospectively analyze decompensation and heart failure to evaluate physiological states and patient outcomes. Objective The goal of this study is to examine the prevalence of cardiovascular risk factors among those admitted to ICUs and to evaluate combinations of clinical features that are predictive of decompensation events, such as the onset of acute heart failure, using machine learning techniques. To accomplish this objective, we leveraged tele-ICU data from over 200 hospitals across the United States. Methods We evaluated the feasibility of predicting decompensation soon after ICU admission for 26,534 patients admitted without a history of heart failure with specific heart failure risk factors (ie, coronary artery disease, hypertension, and myocardial infarction) and 96,350 patients admitted without risk factors using remotely monitored laboratory, vital signs, and discrete physiological measurements. Multivariate logistic regression and random forest models were applied to predict decompensation and highlight important features from combinations of model inputs from dissimilar data. Results The most prevalent risk factor in our data set was hypertension, although most patients diagnosed with heart failure were admitted to the ICU without a risk factor. The highest heart failure prediction accuracy was 0.951, and the highest area under the receiver operating characteristic curve was 0.9503 with random forest and combined vital signs, laboratory values, and discrete physiological measurements. Random forest feature importance also highlighted combinations of several discrete physiological features and laboratory measures as most indicative of decompensation. Timeline analysis of aggregate vital signs revealed a point of diminishing returns where additional vital signs data did not continue to improve results. Conclusions Heart failure risk factors are common in tele-ICU data, although most patients that are diagnosed with heart failure later in an ICU stay presented without risk factors making a prediction of decompensation critical. Decompensation was predicted with reasonable accuracy using tele-ICU data, and optimal data extraction for time series vital signs data was identified near a 200-minute window size. Overall, results suggest combinations of laboratory measurements and vital signs are viable for early and continuous prediction of patient decompensation.
13
Panday, RS Nannan, Christian P. Subbe, LS van Galen, John Kellett, Mikkel Brabrand, CH Nickel, and Prabath WB Nanayakkara. "Changes in vital signs post discharge as a potential target for intervention to avoid readmission." Acute Medicine Journal 17, no. 2 (April 1, 2018): 77–82. http://dx.doi.org/10.52964/amja.0703.
Анотація:
Readmissions are treated as adverse events in many healthcare systems. Causes can be physiological deterioration or breakdown of social support systems. We investigated data from a European multi-centre study of readmissions for changes in vital signs between index admission and readmission. Data sets were graded according to the National Early Warning Score (NEWS). Of 487 patients in whom NEWS could be calculated on discharge and again on re-admission, 39.6% had worse vital signs with a NEWS score difference ≥ 2 points while only 7.6% had improved by ≥ 2 points. Changes in individual vital signs of 20% or more were most common in respiratory rate and heart rate. Monitoring of respiratory rate and pulse rate post-discharge might predict some deteriorations.
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Gong, Jian, Xinyu Zhang, Kaixin Lin, Ju Ren, Yaoxue Zhang, and Wenxun Qiu. "RF Vital Sign Sensing under Free Body Movement." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (September 9, 2021): 1–22. http://dx.doi.org/10.1145/3478090.
Анотація:
Radio frequency (RF) sensors such as radar are instrumental for continuous, contactless sensing of vital signs, especially heart rate (HR) and respiration rate (RR). However, decades of related research mainly focused on static subjects, because the motion artifacts from other body parts may easily overwhelm the weak reflections from vital signs. This paper marks a first step in enabling RF vital sign sensing under ambulant daily living conditions. Our solution is inspired by existing physiological research that revealed the correlation between vital signs and body movement. Specifically, we propose to combine direct RF sensing for static instances and indirect vital sign prediction based on movement power estimation. We design customized machine learning models to capture the sophisticated correlation between RF signal pattern, movement power, and vital signs. We further design an instant calibration and adaptive training scheme to enable cross-subjects generalization, without any explicit data labeling from unknown subjects. We prototype and evaluate the framework using a commodity radar sensor. Under a variety of moving conditions, our solution demonstrates an average estimation error of 5.57 bpm for HR and 3.32 bpm for RR across multiple subjects, which largely outperforms state-of-the-art systems.
15
Ko, Li-Wei, Yang Chang, Bo-Kai Lin, and Dar-Shong Lin. "Vital Signs Sensing Gown Employing ECG-Based Intelligent Algorithms." Biosensors 12, no. 11 (November 3, 2022): 964. http://dx.doi.org/10.3390/bios12110964.
Анотація:
This study presents a long-term vital signs sensing gown consisting of two components: a miniaturized monitoring device and an intelligent computation platform. Vital signs are signs that indicate the functional state of the human body. The general physical health of a person can be assessed by monitoring vital signs, which typically include blood pressure, body temperature, heart rate, and respiration rate. The miniaturized monitoring device is composed of a compact circuit which can acquire two kinds of physiological signals including bioelectrical potentials and skin surface temperature. These two signals were pre-processed in the circuit and transmitted to the intelligent computation platform for further analysis using three algorithms, which incorporate R-wave detection, ECG-derived respiration, and core body temperature estimation. After the processing, the derived vital signs would be displayed on a portable device screen, including ECG signals, heart rate (HR), respiration rate (RR), and core body temperature. An experiment for validating the performance of the intelligent computation platform was conducted in clinical practices. Thirty-one participants were recruited in the study (ten healthy participants and twenty-one clinical patients). The results showed that the relative error of HR is lower than 1.41%, RR is lower than 5.52%, and the bias of core body temperature is lower than 0.04 °C in both healthy participant and clinical patient trials. In this study, a miniaturized monitoring device and three algorithms which derive vital signs including HR, RR, and core body temperature were integrated for developing the vital signs sensing gown. The proposed sensing gown outperformed the commonly used equipment in terms of usability and price in clinical practices. Employing algorithms for estimating vital signs is a continuous and non-invasive approach, and it could be a novel and potential device for home-caring and clinical monitoring, especially during the pandemic.
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Deviana, Meli, Noor Pramono, and Ari Suwondo. "Combination of Polyethylene Terephthalate Nesting and Prone Position at the Standard Box Care to the Vital Signs and Length of Stay on the Low Birth Weight Babies." GHMJ (Global Health Management Journal) 4, no. 1 (June 28, 2020): 21–26. http://dx.doi.org/10.35898/ghmj-41579.
Анотація:
Background: The use of nesting and prone position conditioned Low Birth Weight (LBW) babies as the mother’s womb that helped in the development of physiological functions and achieve physiological function stability. This study aims to test the effectiveness of designed nesting with polyethylene terephthalate materials and the position of prone with standard care using a box of baby warmers for the length of stay which is observed from the achievement of the stability of vital signs on LBW. Methods: This is a quasi-experimental design study with non-equivalent control group design. The study population was all LBW treated in the Perinatal room with a sample of 36 LBW selected consecutively from newborns at RSUD RAA Soewondo Pa and RSUD Dr. R. Soetrasno Rembang. Results: The combination of nesting polyethylene group with position prone achieved faster vital signs stability and shorter duration of treatment compared to the control group with p = 0.001 for temperature, respiration and oxygen saturation. Conclusion: The combination of polyethylene terephthalate nesting and prone position is effective to reduce the duration of treatment and achieving the stability of vital signs of low birth weight infants. This intervention can be used as LBW care during hospital and home care. Keywords: nesting, position prone, polyethylene tread, length of stay, baby vital signs Received: 25 August 2018 Reviewed: 10 September 2018 Revised: 28 June 2020 Accepted: 28 June 2020 DOI: 10.35898/ghmj-41579
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Choi, Jae-Ho, Ki-Bong Kang, and Kyung-Tae Kim. "Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (March 24, 2024): 1344–52. http://dx.doi.org/10.1609/aaai.v38i2.27898.
Анотація:
Remote physiology, which involves monitoring vital signs without the need for physical contact, has great potential for various applications. Current remote physiology methods rely only on a single camera or radio frequency (RF) sensor to capture the microscopic signatures from vital movements. However, our study shows that fusing deep RGB and RF features from both sensor streams can further improve performance. Because these multimodal features are defined in distinct dimensions and have varying contextual importance, the main challenge in the fusion process lies in the effective alignment of them and adaptive integration of features under dynamic scenarios. To address this challenge, we propose a novel vital sensing model, named Fusion-Vital, that combines the RGB and RF modalities through the new introduction of pairwise input formats and transformer-based fusion strategies. We also perform comprehensive experiments based on a newly collected and released remote vital dataset comprising synchronized video-RF sensors, showing the superiority of the fusion approach over the previous single-sensor baselines in various aspects.
18
Holtcamp, Katie, Molly Nicodemus, Tommy Phillips, David Christiansen, Peter Ryan, Brian Rude, and Karen Galarneau. "PSXV-20 Pilot Study: How does horse and rider vital signs respond to participation in an equine assisted psychotherapy and learning outpatient collegiate substance use recovery program?" Journal of Animal Science 99, Supplement_3 (October 8, 2021): 359–60. http://dx.doi.org/10.1093/jas/skab235.658.
Анотація:
Abstract While research supporting the psychological benefits of equine assisted psychotherapy and learning (EAPL) is expanding, little is known about the physiological impact this therapy has on the human and horse. The physical activity for younger adults may hold promise where other therapies have failed, but can this form of exercise therapy be physically demanding on the participant? Therefore, the objective of this study was to measure physiological responses of horse and human for those participating in an EAPL outpatient collegiate recovery program for substance use disorder (SUD). This pilot study assessed humans (n = 4) and horses (n = 5) participating in a collegiate recovery community EAPL SUD program. The six-week program included riding and ground activities for 1 hr/wk. Vital signs (heart and respiratory rates and pain rating) were recorded weekly at the beginning and end of each session. Human pain rating used the Wong-Baker Faces Pain Rating Scale and equines used the Equine Utrecht University Scale for Facial Assessment of Pain (EQUUS-FAP). T-tests were performed comparing measurements at the beginning and end of each session (P = 0.05). Pearson Correlations were used to determine relationships between human and horse vital signs. While no changes were seen in human heart rate, a significant decrease in respiratory rates and pain scores was found by the end of the session (Table 1). Horse heart and respiratory rates and EQUUS-FAP scores increased. A moderate correlation was determined for human and horse respiration rates (r=0.65, P = 0.00). Correlations became weaker when evaluating the other vital signs (Heart Rates: r=0.54, P = 0.00; Pain Rating Scores: r=0.27, P = 0.17). While relationships between horse and human vital signs were limited, it is important to note the differences in how the two physiologically respond to EAPL suggesting further research beyond this pilot study may be needed to investigate the physical demand of EAPL on the horse.
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Burkle, Frederick M. "Triage and the Lost Art of Decoding Vital Signs: Restoring Physiologically Based Triage Skills in Complex Humanitarian Emergencies." Disaster Medicine and Public Health Preparedness 12, no. 1 (April 21, 2017): 76–85. http://dx.doi.org/10.1017/dmp.2017.40.
Анотація:
AbstractTriage management remains a major challenge, especially in resource-poor settings such as war, complex humanitarian emergencies, and public health emergencies in developing countries. In triage it is often the disruption of physiology, not anatomy, that is critical, supporting triage methodology based on clinician-assessed physiological parameters as well as anatomy and mechanism of injury. In recent times, too many clinicians from developed countries have deployed to humanitarian emergencies without the physical exam skills needed to assess patients without the benefit of remotely fed electronic monitoring, laboratory, and imaging studies. In triage, inclusion of the once-widely accepted and collectively taught “art of decoding vital signs” with attention to their character and meaning may provide clues to a patient’s physiological state, improving triage sensitivity. Attention to decoding vital signs is not a triage methodology of its own or a scoring system, but rather a skill set that supports existing triage methodologies. With unique triage management challenges being raised by an ever-changing variety of humanitarian crises, these once useful skill sets need to be revisited, understood, taught, and utilized by triage planners, triage officers, and teams as a necessary adjunct to physiologically based triage decision-making. (Disaster Med Public Health Preparedness. 2018;12:76–85)
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Junaid, Sahalu Balarabe, Abdullahi Abubakar Imam, Aliyu Nuhu Shuaibu, Shuib Basri, Ganesh Kumar, Yusuf Alhaji Surakat, Abdullateef Oluwagbemiga Balogun, et al. "Artificial Intelligence, Sensors and Vital Health Signs: A Review." Applied Sciences 12, no. 22 (November 11, 2022): 11475. http://dx.doi.org/10.3390/app122211475.
Анотація:
Large amounts of patient vital/physiological signs data are usually acquired in hospitals manually via centralized smart devices. The vital signs data are occasionally stored in spreadsheets and may not be part of the clinical cloud record; thus, it is very challenging for doctors to integrate and analyze the data. One possible remedy to overcome these limitations is the interconnection of medical devices through the internet using an intelligent and distributed platform such as the Internet of Things (IoT) or the Internet of Health Things (IoHT) and Artificial Intelligence/Machine Learning (AI/ML). These concepts permit the integration of data from different sources to enhance the diagnosis/prognosis of the patient’s health state. Over the last several decades, the growth of information technology (IT), such as the IoT/IoHT and AI, has grown quickly as a new study topic in many academic and business disciplines, notably in healthcare. Recent advancements in healthcare delivery have allowed more people to have access to high-quality care and improve their overall health. This research reports recent advances in AI and IoT in monitoring vital health signs. It investigates current research on AI and the IoT, as well as key enabling technologies, notably AI and sensors-enabled applications and successful deployments. This study also examines the essential issues that are frequently faced in AI and IoT-assisted vital health signs monitoring, as well as the special concerns that must be addressed to enhance these systems in healthcare, and it proposes potential future research directions.
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Shah, Wajid, Muhammad Aleem, Muhammad Azhar Iqbal, Muhammad Arshad Islam, Usman Ahmed, Gautam Srivastava, and Jerry Chun-Wei Lin. "A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases." Journal of Healthcare Engineering 2021 (November 1, 2021): 1–17. http://dx.doi.org/10.1155/2021/2621655.
Анотація:
Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological advancements in medical science that can facilitate continuous monitoring of physiological parameters—blood pressure, cholesterol levels, blood glucose, etc. The futuristic values of these critical physiological or vital sign parameters not only enable in-time assistance from medical experts and caregivers but also help patients manage their health status by receiving relevant regular alerts/advice from healthcare practitioners. In this study, we propose a machine-learning-based prediction and classification system to determine futuristic values of related vital signs for both cardiovascular and chronic respiratory diseases. Based on the prediction of futuristic values, the proposed system can classify patients’ health status to alarm the caregivers and medical experts. In this machine-learning-based prediction and classification model, we have used a real vital sign dataset. To predict the next 1–3 minutes of vital sign values, several regression techniques (i.e., linear regression and polynomial regression of degrees 2, 3, and 4) have been tested. For caregivers, a 60-second prediction and to facilitate emergency medical assistance, a 3-minute prediction of vital signs is used. Based on the predicted vital signs values, the patient’s overall health is assessed using three machine learning classifiers, i.e., Support Vector Machine (SVM), Naive Bayes, and Decision Tree. Our results show that the Decision Tree can correctly classify a patient’s health status based on abnormal vital sign values and is helpful in timely medical care to the patients.
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Efendi, Defi, and Reisy Tane. "The Effects of Music Therapy on Vital Signs, Feeding, and Sleep in Premature Infants." NurseLine Journal 4, no. 1 (July 2, 2019): 31. http://dx.doi.org/10.19184/nlj.v4i1.8709.
Анотація:
Premature infants experience various health problems such as instability of vital signs, difficulty eating and disturbance sleep-wake status. The objective of this literature review is to identify the benefits of music therapy for the stability of physiological functions, increased sucking behavior, and sleep in premature infants undergoing treatment in Neonates Intensive Care Unit (NICU). This article is a literature review using Sciendirect, SageGroup, Spinger, ProQuest, Google Scolars, and EBsco electronic sources from 2008-2018. Keywords used "Music Therapy" are then selected for full text articles for review. The results of the analysis of 7 articles that fit the inclusion criteria found that music therapy has an effect on a more stable physiological function, maintaining sleep in infants, and increasing sucking in premature infants. The conclusions and recommendations of this article are the use of appropriate music therapy can improve the health status of treated infants so it is recommended as one of the nursing interventions in the NICU room.
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Li, Xinyu, Michael R. Pinsky, and Artur Dubrawski. "Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data." Sensors 22, no. 3 (January 28, 2022): 1024. http://dx.doi.org/10.3390/s22031024.
Анотація:
For fluid resuscitation of critically ill individuals to be effective, it must be well calibrated in terms of timing and dosages of treatments. In current practice, the cardiovascular sufficiency of patients during fluid resuscitation is determined using primarily invasively measured vital signs, including Arterial Pressure and Mixed Venous Oxygen Saturation (SvO2), which may not be available in outside-of-hospital settings, particularly in the field when treating subjects injured in traffic accidents or wounded in combat where only non-invasive monitoring is available to drive care. In this paper, we propose (1) a Machine Learning (ML) approach to estimate the sufficiency utilizing features extracted from non-invasive vital signs and (2) a novel framework to address the detrimental impact of inter-patient diversity on the ability of ML models to generalize well to unseen subjects. Through comprehensive evaluation on the physiological data collected in laboratory animal experiments, we demonstrate that the proposed approaches can achieve competitive performance on new patients using only non-invasive measurements. These characteristics enable effective monitoring of fluid resuscitation in real-world acute settings with limited monitoring resources and can help facilitate broader adoption of ML in this important subfield of healthcare.
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Moshina, Elena A. "VITAL CODE AS A WAY TO REALIZE FIGURATIVE SIGNS OF THE MACROCONCEPTS ‘ZEMLYA’ AND ‘EARTH / LAND’ IN RUSSIAN AND ENGLISH LINGUISTIC CULTURES." Вестник Пермского университета. Российская и зарубежная филология 12, no. 2 (2020): 43–51. http://dx.doi.org/10.17072/2073-6681-2020-2-43-51.
Анотація:
The paper describes figurative signs of the macroconcepts zemlya and earth / land from the aspect of the vital code of linguistic culture. The vital code is represented in metaphors of a living being. The purpose of the article is to define a set of vital signs of the macroconcepts zemlya and earth / land. The objectives of the study are as follows: 1. to provide a brief overview of the existing studies concerning the vital code; 2. to identify and compare the vital signs of zemlya and earth / land macroconcepts in the collected language material. The subject of the study is language constructions including the words zemlya and earth / land and containing metaphors of a living being. The object of the study is the vital code of Russian and English linguistic cultures. As to the current scientific relevance of the study, the means of expressing the macroconcepts zemlya and earth / land presented in the compared linguistic cultures are analyzed in terms of two principles – anthropomorphism and vitality. The study is novel in that the macroconcepts zemlya and earth / land are first considered within codes of linguistic culture. The main methods of research are descriptive, conceptual, comparative, interpretative. The study material was selected from the Russian National Corpus (www.ruscorpora.ru) and Oxford Text Archive (https://ota.bodleian.ox.ac.uk/repository/xmlui/). As the study showed, the identified vital signs can be grouped into four blocks: 1. Physiological signs (‘voicelessness’, ‘disease’, ‘age’, ‘voice’, ‘movement’, ‘breathing’, ‘shaking’, ‘health’, ‘beauty’, ‘feeding’, ‘drinking’, ‘strength’, ‘weakness’, ‘sleep’). 2. Ontological signs (‘birth,’ ‘life’, ‘death’). 3. Perceptual signs (‘hearing’, ‘vision’, ‘touch’). 4. Somatic signs (‘legs’, ‘hands’, ‘lips’, ‘eyebrows’, ‘head’, ‘lap’, ‘breast’, ‘face’, ‘body’, ‘womb’, ‘blood’, ‘bowels’). Codes of linguistic culture are universal: they are presented in the descriptions of different fragments of the world. The vital signs represented in zemlya and earth / land concept structures are almost identical. However, the specific quantity of metaphors that implement them is different.
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Gauni, Sabitha, C. T.Manimegalai, K. Kalimuthu, and M. Anjanasree. "Detection of breathing and heartrate using a simple vital radio system." International Journal of Engineering & Technology 7, no. 2.8 (March 19, 2018): 311. http://dx.doi.org/10.14419/ijet.v7i2.8.10431.
Анотація:
Proposed is a detection technique utilised for the physiological monitoring of heart rate and breathing rate. This new methodology is better than the other conventional systems that utilise either continuous waves or impulse radio systems for detecting remote vital signs that either suffers from non-stationary clutters or anomalies in accuracy. Vital Radio which operates on wireless technology can sense and monitor the breathing rate and the heart beat rate of the concerned person. This device is designed in such a manner that it can be installed in the walls so that it can capture and maintain a health record of a person dwelling in smart homes. It has the prime advantage of revealing high level of accuracy in the detection of the required vital signs.
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Soon, Stephanie, Hafdis Svavarsdottir, Candice Downey, and David George Jayne. "Wearable devices for remote vital signs monitoring in the outpatient setting: an overview of the field." BMJ Innovations 6, no. 2 (January 14, 2020): 55–71. http://dx.doi.org/10.1136/bmjinnov-2019-000354.
Анотація:
Early detection of physiological deterioration has been shown to improve patient outcomes. Due to recent improvements in technology, comprehensive outpatient vital signs monitoring is now possible. This is the first review to collate information on all wearable devices on the market for outpatient physiological monitoring.A scoping review was undertaken. The monitors reviewed were limited to those that can function in the outpatient setting with minimal restrictions on the patient’s normal lifestyle, while measuring any or all of the vital signs: heart rate, ECG, oxygen saturation, respiration rate, blood pressure and temperature.A total of 270 papers were included in the review. Thirty wearable monitors were examined: 6 patches, 3 clothing-based monitors, 4 chest straps, 2 upper arm bands and 15 wristbands. The monitoring of vital signs in the outpatient setting is a developing field with differing levels of evidence for each monitor. The most common clinical application was heart rate monitoring. Blood pressure and oxygen saturation measurements were the least common applications. There is a need for clinical validation studies in the outpatient setting to prove the potential of many of the monitors identified.Research in this area is in its infancy. Future research should look at aggregating the results of validity and reliability and patient outcome studies for each monitor and between different devices. This would provide a more holistic overview of the potential for the clinical use of each device.
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A. Joshi, Et al. "Advancing Chronic Respiratory Disease Care with Real-Time Vital Sign Prediction." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (November 2, 2023): 1037–55. http://dx.doi.org/10.17762/ijritcc.v11i10.8623.
Анотація:
Cardiovascular and chronic respiratory diseases, being pervasive in nature, pose formidable challenges to the overall well-being of the global populace. With an alarming annual mortality rate of approximately 19 million individuals across the globe, these diseases have emerged as significant public health concerns warranting immediate attention and comprehensive understanding. The mitigation of this elevated mortality rate can be achieved through the application of cutting-edge technological innovations within the realm of medical science, which possess the capacity to enable the perpetual surveillance of various physiological indicators, including but not limited to blood pressure, cholesterol levels, and blood glucose concentrations. The forward-thinking implications of these pivotal physiological or vital sign parameters not only facilitate prompt intervention from medical professionals and carers, but also empower patients to effectively navigate their health status through the receipt of pertinent periodic notifications and guidance from healthcare practitioners. In this research endeavour, we present a novel framework that leverages the power of machine learning algorithms to forecast and categorise forthcoming values of pertinent physiological indicators in the context of cardiovascular and chronic respiratory ailments. Drawing upon prognostications of prospective values, the envisaged framework possesses the capacity to effectively categorise the health condition of individuals, thereby alerting both caretakers and medical professionals. In the present study, a machine-learning-driven prediction and classification framework has been employed, wherein a genuine dataset comprising vital signs has been utilised. In order to anticipate the forthcoming 1-3 minutes of vital sign values, a series of regression techniques, namely linear regression and polynomial regression of degrees 2, 3, and 4, have been subjected to rigorous examination and evaluation. In the realm of caregiving, a concise 60-second prognostication is employed to enable the expeditious provision of emergency medical aid. Additionally, a more comprehensive 3-minute prognostication of vital signs is utilised for the same purpose. The patient's overall health is evaluated based on the anticipated vital signs values through the utilisation of three machine learning classifiers, namely Support Vector Machine (SVM), Decision Tree and Random Forest. The findings of our study indicate that the implementation of a Decision Tree algorithm exhibits a high level of accuracy in accurately categorising a patient's health status by leveraging anomalous values of vital signs. This approach demonstrates its potential in facilitating prompt and effective medical interventions, thereby enhancing the overall quality of care provided to patients.
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Aslantas, Ceren, and Arzu Tuna. "The effect of preoperative fasting time on physiological parameters in patients undergoing thyroid surgery." Medicine Science | International Medical Journal 12, no. 3 (2023): 941. http://dx.doi.org/10.5455/medscience.2023.04.051.
Анотація:
The research was conducted between January 2022 and June 2022 in the Department of Surgery, Inonu University, Turkey. The sample of the study consisted of 40 consecutive patients who underwent thyroidectomy surgery. After obtaining the necessary permissions from the ethics committee, patients, and the chief physician of the medical faculty hospital, the research was conducted. Research data were collected using the patient diagnosis form, the form for assessing patients; vital signs, the form in which the laboratory values of the patients are determined, and the wound site evaluation form of patients three days after surgery. As a result of the research, it was determined that heart rate, body temperature, and HbA1c value may be affected as the fasting period gets longer. In surgeries performed in other patient groups and in patients with a higher population of thyroid surgery, it was suggested that new research should be done to examine the effect of fasting duration on vital signs, wound site, and blood laboratory values.
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Abo-Zahhad, M., Sabah M. Ahmed, and O. Elnahas. "A Wireless Emergency Telemedicine System for Patients Monitoring and Diagnosis." International Journal of Telemedicine and Applications 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/380787.
Анотація:
Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with physiology signal monitoring for e-health care are an emerging area of development. Therefore, this study adopts a system which includes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical center in emergency case and it transfers all acquired raw data by the internet in normal case. The proposed system can continuously acquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to an intelligent data analysis scheme to diagnose abnormal pulses for exploring potential chronic diseases. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Once abnormal event happened or the request to real-time display vital signs is confirmed, all physiological signs will be immediately transmitted to remote medical server through both cellular networks and internet. Also data can be transmitted to a family member’s mobile phone or doctor’s phone through GPRS. A prototype of such system has been successfully developed and implemented, which will offer high standard of healthcare with a major reduction in cost for our society.
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Piri Keshtiban, Nasim, Maryam Maghsoudi Pour, Hedieh Bikdeli, Fatemeh Nemati Dopalani, Alireza Khammar, Mostafa Kamali, and Javad Vatani. "Associations of the Sleepiness With Physiologic Changes in Night Shift Rehabilitation Healthcare Workers." Health in Emergencies & Disasters Quarterly 7, no. 3 (April 1, 2022): 109–16. http://dx.doi.org/10.32598/hdq.7.3.435.1.
Анотація:
Background: Sleepiness and the changes in vital signs affect the quality of work of hospital staff. This study aimed to investigate the relationship between sleepiness and physiological changes and vital signs in night shift workers in rehabilitation staff. Materials and Methods: This study was a cross-sectional study performed on night shift personnel of Rafideh Hospital in Tehran City, Iran, in 2018. A questionnaire, including demographic information and the Stanford sleepiness scale, was used for data collection. The results were analyzed using repeated measures analysis in SPSS software v. 21. Results: The Mean±SD age of the participants was 38.23±5.96 years, comprising 33 men (64.7%) and 18 women (35.3%). Most personnel were married (72.5%) and non-smoker (82.4%). The amount of sleepiness increased significantly with increasing working time. Demographic characteristics had no significant association with sleepiness. However, there was a significant negative association between sleepiness and heart rate, and oral temperature. Blood pressure showed a decreasing trend with increasing working time until midnight. Also, an increase in blood pressure was recorded at 2 AM. Conclusion: The findings of this study showed that sleepiness might have a significant association with vital signs in night work personnel. Hence, proper planning of shift work schedules and compatibility with physiological conditions might result in better working conditions for medical staff.
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Sekak, Fatima, Kawtar Zerhouni, Fouzia Elbahhar, Madjid Haddad, Christophe Loyez, and Kamel Haddadi. "Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz." Sensors 20, no. 12 (June 16, 2020): 3396. http://dx.doi.org/10.3390/s20123396.
Анотація:
Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological parameters in a non-contact manner. Since the RF-reflected signal from the human body is corrupted by noise and random body movements, traditional Fourier analysis fails to detect the heart and breathing frequencies. In this effort, cyclostationary analysis has been used to improve the radar performance for non-invasive measurement of respiratory rate and heart rate. However, the preliminary works focus only on one frequency and do not include the impact of attenuation and random movement of the body in the analysis. Hence in this paper, we evaluate the impact of distance and noise on the cyclic features of the reflected signal. Furthermore, we explore the assessment of second order cyclostationary signal processing performance by developing the cyclic mean, the conjugate cyclic autocorrelation and the cyclic cumulant. In addition, the analysis is carried out using a reduced number of samples to reduce the response time. Implementation of the cyclostationary technique using a bi-static radar configuration at 2.5 GHz is shown as an example to demonstrate the proposed approach.
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Puspitasari, Reni, and Priyani Haryanti. "The Relationship between Anxiety, Depression, and Vital Signs among Postpartum Mothers in Yogyakarta." JURNAL PENDIDIKAN KEPERAWATAN INDONESIA 7, no. 1 (June 30, 2021): 25–32. http://dx.doi.org/10.17509/jpki.v7i1.31527.
Анотація:
After labor, mothers need good physiological and psychological adjustments. The inability to adapt to a new situation can result in mothers' psychological stress, eventually leading to postpartum crises and depression. If this incident is not handled, it can lead to serious mental health problems, especially postpartum psychosis to bipolar disorder. In depressed and anxious people, the body will secrete adrenal hormones, which cause vital signs such as blood pressure, body temperature, respiration, and pulse. This study aims to find the relationship between anxiety, depression, and vital signs of postpartum mothers. This study used qualitative with correlation cross-sectional design. The respondents were 60 postpartum mothers at 0-6 months postpartum in Yogyakarta recruited using purposive sampling techniques. The instrument used to measure postpartum maternal depression was The Back Depression Inventory version II and State Anxiety Inventory (STAI) to measure anxiety. Data analysis used Pearson to find the relationship between anxiety, depression, and vital signs. The t-test analysis shows there were relationship between state and trait anxiety with a pulse (p-value = 0.00), respiration (p-value = 0.00), depression with a pulse (the p-value = 0.00) and respiration (p-value 0.00). Anxiety and depression can be detected from the changes in the vital signs of postpartum mothers so that early detection by health workers can prevent anxiety and depression
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Chen, Rong, Hans Blomqvist, Sabine Koch, and Niclas Skyttberg. "Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores." Applied Clinical Informatics 08, no. 03 (2017): 880–92. http://dx.doi.org/10.4338/aci-2017-05-ra-0075.
Анотація:
Summary Background: Computerized clinical decision support and automation of warnings have been advocated to assist clinicians in detecting patients at risk of physiological instability. To provide reliable support such systems are dependent on high-quality vital sign data. Data quality depends on how, when and why the data is captured and/or documented. Objectives: This study aims to describe the effects on data quality of vital signs by three different types of documentation practices in five Swedish emergency hospitals, and to assess data fitness for calculating warning and triage scores. The study also provides reference data on triage vital signs in Swedish emergency care. Methods: We extracted a dataset including vital signs, demographic and administrative data from emergency care visits (n=335027) at five Swedish emergency hospitals during 2013 using either completely paper-based, completely electronic or mixed documentation practices. Descriptive statistics were used to assess fitness for use in emergency care decision support systems aiming to calculate warning and triage scores, and data quality was described in three categories: currency, completeness and correctness. To estimate correctness, two further categories –plausibility and concordance –were used. Results: The study showed an acceptable correctness of the registered vital signs irrespectively of the type of documentation practice. Completeness was high in sites where registrations were routinely entered into the Electronic Health Record (EHR). The currency was only acceptable in sites with a completely electronic documentation practice. Conclusion: Although vital signs that were recorded in completely electronic documentation practices showed plausible results regarding correctness, completeness and currency, the study concludes that vital signs documented in Swedish emergency care EHRs cannot generally be considered fit for use for calculation of triage and warning scores. Low completeness and currency were found if the documentation was not completely electronic. Citation: Skyttberg N, Chen R, Blomqvist H, Koch S. Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores. Appl Clin Inform 2017; 8: 880–892 https://doi.org/10.4338/ACI-2017-05-RA-0075
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Zhang, Jingqing, Luis Daniel Bolanos Trujillo, Ashwani Tanwar, Julia Ive, Vibhor Gupta, and Yike Guo. "Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use." BMJ Health & Care Informatics Online 29, no. 1 (November 2022): e100519. http://dx.doi.org/10.1136/bmjhci-2021-100519.
Анотація:
ObjectiveClinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the automatic annotation of phenotypes from clinical notes as a method to capture essential information to predict outcomes in the intensive care unit (ICU). This information is complementary to typically used vital signs and laboratory test results.MethodsIn this study, we developed a novel phenotype annotation model to extract the phenotypical features of patients, which were then used as input features of predictive models to predict ICU patient outcomes. We demonstrated and validated this approach by conducting experiments on three ICU prediction tasks, including in-hospital mortality, physiological decompensation and length of stay (LOS) for over 24 000 patients using the Medical Information Mart for Intensive Care (MIMIC-III) dataset.ResultsThe predictive models incorporating phenotypical information achieved 0.845 (area under the curve–receiver operating characteristic (AUC-ROC)) for in-hospital mortality, 0.839 (AUC-ROC) for physiological decompensation and 0.430 (kappa) for LOS, all of which consistently outperformed the baseline models using only vital signs and laboratory test results. Moreover, we conducted a thorough interpretability study showing that phenotypes provide valuable insights at both the patient and cohort levels.ConclusionThe proposed approach demonstrates that phenotypical information complements traditionally used vital signs and laboratory test results and significantly improves the accuracy of outcome prediction in the ICU.
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May, James M., Justin P. Phillips, Tracey Fitchat, Shankar Ramaswamy, Saowarat Snidvongs, and Panayiotis A. Kyriacou. "A Novel Photoplethysmography Sensor for Vital Signs Monitoring from the Human Trachea." Biosensors 9, no. 4 (October 2, 2019): 119. http://dx.doi.org/10.3390/bios9040119.
Анотація:
Current pulse oximeter sensors can be challenged in working accurately and continuously in situations of reduced periphery perfusion, especially among anaesthetised patients. A novel tracheal photoplethysmography (PPG) sensor has been developed in an effort to address the limitations of current pulse oximeters. The sensor has been designed to estimate oxygen saturation (SpO2) and pulse rate, and has been manufactured on a flexible printed circuit board (PCB) that can adhere to a standard endotracheal (ET) tube. A pilot clinical trial was carried out as a feasibility study on 10 anaesthetised patients. Good quality PPGs from the trachea were acquired at red and infrared wavelengths in all patients. The mean SpO2 reading for the ET tube was 97.1% (SD 1.0%) vs. the clinical monitor at 98.7% (SD 0.7%). The mean pulse rate for the ET sensor was 65.4 bpm (SD 10.0 bpm) vs. the clinical monitor at 64.7 bpm (SD 9.9 bpm). This study supports the hypothesis that the human trachea could be a suitable monitoring site of SpO2 and other physiological parameters, at times where the periphery circulation might be compromised.
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Pynn, H. J., and J. E. Smith. "The Compensatory Reserve Index – potential uses in a military context." Journal of The Royal Naval Medical Service 104, no. 2 (2018): 120–23. http://dx.doi.org/10.1136/jrnms-104-120.
Анотація:
AbstractPatients often compensate for physiological insults before demonstrating abnormalities in traditionally measured vital signs such as pulse and blood pressure. The Compensatory Reserve Index analyses arterial waveform and may detect early circulatory shock. This article reviews the current evidence exploring this technology and its potential applicability in the military environment.
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Ekici, Behice, and Kenan Çetin. "The Effect of Incubator Cover on Newborn Vital Signs: The Design of Repeated Measurements in Two Separate Groups with No Control Group." Children 10, no. 7 (July 14, 2023): 1224. http://dx.doi.org/10.3390/children10071224.
Анотація:
(1) Background: During their stays in neonatal intensive care units (NICU), newborns are exposed to many stimuli that disrupt their physiological indicators. The aim of this study was to investigate the impact of the light‒dark cycle created with and without an incubator cover on the vital signs of term and preterm newborns. (2) Methods: A repeated measures design was used in the study utilizing two separate groups, without a control group. The study included 91 neonates hospitalized in a NICU (44 term and 47 preterm). With and without an incubator cover, the newborns’ vital signs (heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), and body temperature (BT)) were measured. Three separate measurements were taken. (3) Results: The mean age of the newborns was 37.0 weeks. There was no significant difference between the HR and RR medians of the term and preterms in the incubator undraped and clad measurements (p > 0.05). At the first measurement, the SpO2 medians of the incubator-covered term and preterms were significantly higher than those of the incubator-covered term and preterms (p = 0.001). (4) Conclusions: The vital signs of the neonates demonstrated variable responses in the measurements when their incubators were covered vs. when they were not covered. However, more research on the effect of the light-dark cycle on their vital signs is required.
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Gusarova, Angelina, Yulia Lyashchuk, Alexey Ovchinnikov, Gennady Samarin, and Konstantin Ivanishchev. "The influence of drugs containing polyhydroxy acids on metabolic processes and physiological vital signs of rabbits." BIO Web of Conferences 108 (2024): 01029. http://dx.doi.org/10.1051/bioconf/202410801029.
Анотація:
The work is devoted to the use of polyhydroxy acids with antioxidant properties in rabbit breeding. The authors examined the effect of gluconolactone, used in the diet of animals, on metabolic processes and physiological indicators of the vital functions of rabbits. To raise healthy rabbits with high meat quality, balanced feeding is necessary. When there is an imbalance in feed rations, animals get sick more often and gain body weight more slowly. Rabbits, like other animals, can obtain antioxidants from plant foods, but their concentration may not be sufficient to provide full protection against oxidative stress. To stabilize feed rations, various biologically active additives are used to increase the efficiency of raising animals and improve productivity indicators. Based on the studies conducted (using the example of gluconolactone), the authors showed the therapeutic significance and feasibility of including supplements containing polyhydroxy acids in the diet of rabbits.
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Mitro, Nikos, Katerina Argyri, Lampros Pavlopoulos, Dimitrios Kosyvas, Lazaros Karagiannidis, Margarita Kostovasili, Fay Misichroni, Eleftherios Ouzounoglou, and Angelos Amditis. "AI-Enabled Smart Wristband Providing Real-Time Vital Signs and Stress Monitoring." Sensors 23, no. 5 (March 4, 2023): 2821. http://dx.doi.org/10.3390/s23052821.
Анотація:
This work introduces the design, architecture, implementation, and testing of a low-cost and machine-learning-enabled device to be worn on the wrist. The suggested wearable device has been developed for use during emergency incidents of large passenger ship evacuations, and enables the real-time monitoring of the passengers’ physiological state, and stress detection. Based on a properly preprocessed PPG signal, the device provides essential biometric data (pulse rate and oxygen saturation level) and an efficient unimodal machine learning pipeline. The stress detecting machine learning pipeline is based on ultra-short-term pulse rate variability, and has been successfully integrated into the microcontroller of the developed embedded device. As a result, the presented smart wristband is able to provide real-time stress detection. The stress detection system has been trained with the use of the publicly available WESAD dataset, and its performance has been tested through a two-stage process. Initially, evaluation of the lightweight machine learning pipeline on a previously unseen subset of the WESAD dataset was performed, reaching an accuracy score equal to 91%. Subsequently, external validation was conducted, through a dedicated laboratory study of 15 volunteers subjected to well-acknowledged cognitive stressors while wearing the smart wristband, which yielded an accuracy score equal to 76%.
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Zhang, Li Ang, Robert Parker, Ipsita Banerjee, and Gilles Clermont. "1330: SEPSIS ENDOTYPES AND THEIR PHYSIOLOGIC CHARACTERIZATION USING VITAL SIGNS." Critical Care Medicine 44, no. 12 (December 2016): 408. http://dx.doi.org/10.1097/01.ccm.0000510004.64545.da.
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God, Indrajit, Suyash Jagtap, Chirag Suryavanshi, Bhagyashri Pawar, Surajkumar Ghatage, and Prital Salunkhe. "IoT Based Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (February 29, 2024): 943–46. http://dx.doi.org/10.22214/ijraset.2024.58454.
Анотація:
Abstract: The rapid advancements in the Internet of Things (IoT) have paved the way for revolutionary healthcare solutions. This paper proposes an IoT-based health monitoring system aimed at providing continuous and remote monitoring of patients' vital signs and physiological parameters. This real-time data collection and analysis empowers proactive healthcare, enhancing patient safety and quality of life.
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He, Mi, Yongjian Nian, Luping Xu, Lihong Qiao, and Wenwu Wang. "Adaptive Separation of Respiratory and Heartbeat Signals among Multiple People Based on Empirical Wavelet Transform Using UWB Radar." Sensors 20, no. 17 (August 31, 2020): 4913. http://dx.doi.org/10.3390/s20174913.
Анотація:
The non-contact monitoring of vital signs by radar has great prospects in clinical monitoring. However, the accuracy of separated respiratory and heartbeat signals has not satisfied the clinical limits of agreement. This paper presents a study for automated separation of respiratory and heartbeat signals based on empirical wavelet transform (EWT) for multiple people. The initial boundary of the EWT was set according to the limited prior information of vital signs. Using the initial boundary, empirical wavelets with a tight frame were constructed to adaptively separate the respiratory signal, the heartbeat signal and interference due to unconscious body movement. To verify the validity of the proposed method, the vital signs of three volunteers were simultaneously measured by a stepped-frequency continuous wave ultra-wideband (UWB) radar and contact physiological sensors. Compared with the vital signs from contact sensors, the proposed method can separate the respiratory and heartbeat signals among multiple people and obtain the precise rate that satisfies clinical monitoring requirements using a UWB radar. The detection errors of respiratory and heartbeat rates by the proposed method were within ±0.3 bpm and ±2 bpm, respectively, which are much smaller than those obtained by the bandpass filtering, empirical mode decomposition (EMD) and wavelet transform (WT) methods. The proposed method is unsupervised and does not require reference signals. Moreover, the proposed method can obtain accurate respiratory and heartbeat signal rates even when the persons unconsciously move their bodies.
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Muthukumaran, Anjalatchi. "A comparative study to assess the reliability of the digital and glass thermometer in the adults admitted in all male wards of Era medical college & hospital Lucknow, U.P." Southeast Asian Journal of Health Professional 5, no. 3 (October 15, 2022): 68–73. http://dx.doi.org/10.18231/j.sajhp.2022.016.
Анотація:
Temperature is one of the most common and important clinical sign. Maintenance and monitoring of the thermoregulation is a basic requirement in nursing care. Determining accurate measurement of temperature is very important for providing quality care to the patient and to prevent complication as abnormal temperature is strongly associated with the serious diseases. Vital signs are basic component & assessment of physiological & psychological health of the client. Vital signs (Cardinal Signs) and its component body temperature, pulse, respiration, blood pressure & pain. Body temperature is an indicator of health & its is important vital sign. Body temperature regulated by thermo-regulating center in Brain called as Hypothalamus. Body temperature measure by various types of thermometer available in the market. The aim of the study to assess the reliability of the digital & glass thermometer. The design selected for present study was comparative research design. The study was conducted on 60 male patients who was selective by using convenient sample technique. The results revealed that there was no significance difference between digital & glass thermometer at (PC0.05) level of significance tabulated 2 value (0.97) and clinical significance 0.2° celsius.
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Turppa, Emmi, Juha M. Kortelainen, Oleg Antropov, and Tero Kiuru. "Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios." Sensors 20, no. 22 (November 14, 2020): 6505. http://dx.doi.org/10.3390/s20226505.
Анотація:
Remote monitoring of vital signs for studying sleep is a user-friendly alternative to monitoring with sensors attached to the skin. For instance, remote monitoring can allow unconstrained movement during sleep, whereas detectors requiring a physical contact may detach and interrupt the measurement and affect sleep itself. This study evaluates the performance of a cost-effective frequency modulated continuous wave (FMCW) radar in remote monitoring of heart rate and respiration in scenarios resembling a set of normal and abnormal physiological conditions during sleep. We evaluate the vital signs of ten subjects in different lying positions during various tasks. Specifically, we aim for a broad range of both heart and respiration rates to replicate various real-life scenarios and to test the robustness of the selected vital sign extraction methods consisting of fast Fourier transform based cepstral and autocorrelation analyses. As compared to the reference signals obtained using Embla titanium, a certified medical device, we achieved an overall relative mean absolute error of 3.6% (86% correlation) and 9.1% (91% correlation) for the heart rate and respiration rate, respectively. Our results promote radar-based clinical monitoring by showing that the proposed radar technology and signal processing methods accurately capture even such alarming vital signs as minimal respiration. Furthermore, we show that common parameters for heart rate variability can also be accurately extracted from the radar signal, enabling further sleep analyses.
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Li, Yong-Hui, Guangxing Xu, and Ya-Ting Chen. "Objective measurement of effectiveness of psychological consulting services." Social Behavior and Personality: an international journal 44, no. 10 (November 10, 2016): 1699–717. http://dx.doi.org/10.2224/sbp.2016.44.10.1699.
Анотація:
We investigated whether or not physiological signals reflect the effectiveness of a psychological consultation. Participants (N = 108 college students) rated the quality of a consulting service. We recorded their vital signs before and after the consultation session, and eye-related signals during the consulting process. Results of paired samples t tests showed that body temperature, heart rate, and blood pressure had changed significantly after the consultation and degree of the changes was closely correlated with the participants' subjective ratings. Further, results of a 1-way analysis of variance showed that the change in eye-blinking rate and frequency of pupil size fluctuation were aligned with the consulting session outcome. Our results indicate that vital signs and eye-related signals are effective measures to evaluate the effectiveness of psychological consulting services.
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Boettcher, A., E. Corley, and B. Hill. "C-54Associations between WAIS-IV Indexes and CNS Vital Signs Domains." Archives of Clinical Neuropsychology 30, no. 6 (August 31, 2015): 582.2–582. http://dx.doi.org/10.1093/arclin/acv047.256.
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Ren, Yuanfang, Tyler J. Loftus, Yanjun Li, Ziyuan Guan, Matthew M. Ruppert, Shounak Datta, Gilbert R. Upchurch, et al. "Physiologic signatures within six hours of hospitalization identify acute illness phenotypes." PLOS Digital Health 1, no. 10 (October 13, 2022): e0000110. http://dx.doi.org/10.1371/journal.pdig.0000110.
Анотація:
During the early stages of hospital admission, clinicians use limited information to make decisions as patient acuity evolves. We hypothesized that clustering analysis of vital signs measured within six hours of hospital admission would reveal distinct patient phenotypes with unique pathophysiological signatures and clinical outcomes. We created a longitudinal electronic health record dataset for 75,762 adult patient admissions to a tertiary care center in 2014–2016 lasting six hours or longer. Physiotypes were derived via unsupervised machine learning in a training cohort of 41,502 patients applying consensus k-means clustering to six vital signs measured within six hours of admission. Reproducibility and correlation with clinical biomarkers and outcomes were assessed in validation cohort of 17,415 patients and testing cohort of 16,845 patients. Training, validation, and testing cohorts had similar age (54–55 years) and sex (55% female), distributions. There were four distinct clusters. Physiotype A had physiologic signals consistent with early vasoplegia, hypothermia, and low-grade inflammation and favorable short-and long-term clinical outcomes despite early, severe illness. Physiotype B exhibited early tachycardia, tachypnea, and hypoxemia followed by the highest incidence of prolonged respiratory insufficiency, sepsis, acute kidney injury, and short- and long-term mortality. Physiotype C had minimal early physiological derangement and favorable clinical outcomes. Physiotype D had the greatest prevalence of chronic cardiovascular and kidney disease, presented with severely elevated blood pressure, and had good short-term outcomes but suffered increased 3-year mortality. Comparing sequential organ failure assessment (SOFA) scores across physiotypes demonstrated that clustering did not simply recapitulate previously established acuity assessments. In a heterogeneous cohort of hospitalized patients, unsupervised machine learning techniques applied to routine, early vital sign data identified physiotypes with unique disease categories and distinct clinical outcomes. This approach has the potential to augment understanding of pathophysiology by distilling thousands of disease states into a few physiological signatures.
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Sandell, Julian M., and I. K. Maconochie. "The Impact of Terrorism on Children: A Two-Year Experience." Prehospital and Disaster Medicine 19, no. 04 (December 2004): 370–71. http://dx.doi.org/10.1017/s1049023x00002016.
Анотація:
Waismanet al1have once more highlighted the very real challenge of triaging children in mass-casualty events (MCE) in the pre-hospital setting. Difficulties encountered measuring vital signs and different patterns of injury, reflecting significant anatomical and physiological differences, necessitates a modified approach when applying traditional “adult” triage methods to paediatric trauma victims. When using physiological parameters to triage children, their faster respiratory rates and heart rates frequently result in younger children being triaged to a higher category than their injuries demand. These differences become less apparent during adolescence, as the young person matures into adulthood.
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Guseynov, Nidjat A., Marina H. Hammouri, Alexandr A. Muraev, Sergey Y. Ivanov, Elena A. Lukianova, Anna S. Klimenko, and Mohammad A. Noeerazlighi. "Local hardware hypothermia influence on the physiological processes." RUDN Journal of Medicine 26, no. 3 (December 15, 2022): 243–58. http://dx.doi.org/10.22363/2313-0245-2022-26-3-243-258.
Анотація:
Relevance. Cold vasodilation is a response to a decrease in local and general temperature. Dose-controlled hypothermia is a therapeutic method for treating various pathological processes. Materials and Methods. In our study, we analyzed various indicators of the general condition of the human body under the influence of local controlled hypothermia. The study involved 25 healthy volunteers from the age of 21 to 34, including 14 males and 11 females. The study was carried out at a constant temperature of 25 ºС, relative humidity of 30 ± 5%, and an atmospheric pressure of 765mm Hg in silence and moderate illumination. The instruments of these indicators were bio-impedancemetry, angioscanning, as well as general thermometry. We also performed local thermometry of the buccal mucosa to identify temperature correlations between local hypothermia and buccal mucosa temperature. Local сontrolled hypothermia of the face was carried out by applying an elastic mask to the subject’s face. The mask had a system of irrigation tubes connected to the «ViTherm» device, which cooled the liquid and maintained its circulation. Due to the circulation of the cooled liquid in the mask the face was cooled. The mask covered the parotid-chewing, buccal, zygomatic, and infraorbital regions on the right and left. LCG lasted 50 minutes, and the circulating fluid temperature was 18 ºС. Results and Discussion. The effect of local controlled hypothermia at 18-20 °C did not affect vital signs in healthy adults: active cell mass, electrical reactance, extracellular fluid, oxygen saturation, the duration of systole. pulse. general temperature. At the same time, a decrease in tissue hydration was recorded. The revealed physiological effect of local hypothermia justifies using this temperature regime to reduce postoperative edema. Conclusion. Due to the absence of negative effects of local controlled hypothermia on the vital signs of the human body, the development and application of this tool in clinical practice, including the dental surgeon. is relevant.
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Polanco, Nicole, Sharon Odametey, Neda Derakhshani, Mark Khachaturian, Connor Devoe, Kamal Jethwani, and Sujay Kakarmath. "Evaluating the Accuracy of an Integrated Vital Sign Measurement Wellness Device." Iproceedings 5, no. 1 (October 2, 2019): e15203. http://dx.doi.org/10.2196/15203.
Анотація:
Background Wellness devices for health tracking have gained popularity in recent years. Additionally, portable and readily accessible wellness devices have several advantages when compared to traditional medical devices found in clinical environments. Building tools for patients to manage their health independently may benefit their health in the long run by improving health care providers’ (HCPs) awareness of their patients’ health information outside of the clinic. Increased access to portable wellness devices that track vital signs may increase how patients and HCPs track and monitor chronic conditions which can improve health outcomes. The VitalWellness is a portable wellness device that can potentially aid vital sign measuring for those interested in tracking their health. Objective In this diagnostic accuracy study, we evaluated the clinical performance of the VitalWellness, a wireless, compact, non-invasive device that measures four vital signs using the index finger and forehead against reference vital signs devices used in the hospital setting. Methods Volunteers age ≥18 years were enrolled to provide blood pressure (BP), heart rate (HR), respiratory rate (RR), and body temperature. We recruited volunteers with vital signs that fell within and outside of the normal physiological range, depending on the measurements they consented to undergo. A subgroup of eligible volunteers were asked to undergo an exercise test, aerobic step test and/or a paced breathing test to analyze the VitalWellness device's performance on vital signs outside of the normal physiological ranges for HR and RR. Vital signs measurements were collected with the VitalWellness device and FDA-approved reference devices. Mean, standard deviation, mean difference, standard deviation of difference, standard error of mean difference, and correlation coefficients were calculated for measurements collected; these measurements were plotted on a scatter plot and a Bland-Altman plot. Sensitivity analyses were performed to evaluate the performance of the VitalWellness device by gender, skin color, finger size, and in the presence of artifacts. Results We enrolled 265 volunteers in the study and 2 withdrew before study completion. The majority of volunteers were female (62%), predominately white (63%), graduated from college or post college (67%), and employed (59%). There was a moderately strong linear relationship between VitalWellness BP and reference BP (r=0.7, P<.05) and bewteen VitalWellness RR and reference RR measurements (r=0.7, P<.05). The VitalWellness HR readings were significantly in line with the reference HR readings (r=0.9, P<.05). There was a weaker linear relationship between VitalWellness temperature and reference temperature (r=0.3, P<.05). There were no differences in performance of the VitalWellness device by gender, skin color or in the presence of artifacts. Finger size was associated with differential performance for RR. Conclusions Overall, the VitalWellness device performed well in taking BP, HR and RR when compared to FDA-approved reference devices and has potential serve as a wellness device. To test adaptability and acceptability, future research may evaluate user’s interactions and experiences with the VitalWellness device at home. In addition, the next phase of the study will evaluate transmitting vital sign information from the VitalWellness device to an online secured database where information can be shared with HCPs within seconds of measurement.