We are proudly a Ukrainian website. Our country was attacked by Russian Armed Forces on Feb. 24, 2022.
You can support the Ukrainian Army by following the link: https://u24.gov.ua/.
Even the smallest donation is hugely appreciated!
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Vital signs.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Dissertations / Theses on the topic "Vital signs":
1
Walcon, Erin Colleen. "Vital spaces/vital signs : young people, performance, identity and dialogue." Thesis, University of Exeter, 2012. http://hdl.handle.net/10871/9785.
This thesis advocates that young people’s participatory theatre in Britain is an important site for dialogue - both internally between young people and externally with those in positions of power and authority who have decision-making responsibilities in young people’s lives. Contextualising the work within the field of critical pedagogy, the thesis asks questions about how devised theatre with young participants can be an effective method to start conversations about young people’s identity and role in society. The research was conducted within a Participatory Action Research methodology, and involved about 600 young people from across Devon in a variety of pilot projects which became increasingly dialogic in form over the three years of study. Looking first at the complex issue of ‘youth’ identity within sociology, cultural studies, ethnography and geography, the thesis posits that the fields of theatre and performance studies have important contributions to make to an understanding of how identity is a performed and constructed concept. Building upon this premise, the second chapter overviews the existing field of young people’s participatory theatre in the UK, stipulating that a pedagogical framework built on an historicized understanding of educational theatre is essential to mapping the existing state of practice. This pedagogical framing allows for navigation through the increasingly impact-driven criteria which can profoundly shape the aesthetics and authorship of such work when conducted in the field. These (often silent) shaping forces are analysed through a set of case study examples. Chapter III defines and defends the framing of this work as a form of critical pedagogy, specifically exploring the definitions of dialogue and literac(ies) through case study examples of dialogic practice with young participants. Chapters IV and V examine the PAR research conducted over three years under the heading Vital Spaces/Vital Signs, which moved from small-scale pilot projects in youth centres to larger-scale ‘devised dialogues’ within more traditional theatre spaces. The praxis and findings encountered within the action research are detailed, and recommendations for future extended dialogic work are made.
2
Chandrasekaran, Vikram. "Measuring Vital Signs Using Smart Phones." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33139/.
Smart phones today have become increasingly popular with the general public for its diverse abilities like navigation, social networking, and multimedia facilities to name a few. These phones are equipped with high end processors, high resolution cameras, built-in sensors like accelerometer, orientation-sensor, light-sensor, and much more. According to comScore survey, 25.3% of US adults use smart phones in their daily lives. Motivated by the capability of smart phones and their extensive usage, I focused on utilizing them for bio-medical applications. In this thesis, I present a new application for a smart phone to quantify the vital signs such as heart rate, respiratory rate and blood pressure with the help of its built-in sensors. Using the camera and a microphone, I have shown how the blood pressure and heart rate can be determined for a subject. People sometimes encounter minor situations like fainting or fatal accidents like car crash at unexpected times and places. It would be useful to have a device which can measure all vital signs in such an event. The second part of this thesis demonstrates a new mode of communication for next generation 9-1-1 calls. In this new architecture, the call-taker will be able to control the multimedia elements in the phone from a remote location. This would help the call-taker or first responder to have a better control over the situation. Transmission of the vital signs measured using the smart phone can be a life saver in critical situations. In today's voice oriented 9-1-1 calls, the dispatcher first collects critical information (e.g., location, call-back number) from caller, and assesses the situation. Meanwhile, the dispatchers constantly face a "60-second dilemma"; i.e., within 60 seconds, they need to make a complicated but important decision, whether to dispatch and, if so, what to dispatch. The dispatchers often feel that they lack sufficient information to make a confident dispatch decision. This remote-media-control described in this system will be able to facilitate information acquisition and decision-making in emergency situations within the 60-second response window in 9-1-1 calls using new multimedia technologies.
3
Yang, Fan. "Object Detection for Contactless Vital Signs Estimation." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42297.
This thesis explores the contactless estimation of people’s vital signs. We designed two camera-based systems and applied object detection algorithms to locate the regions of interest where vital signs are estimated. With the development of Deep Learning, Convolutional Neural Network (CNN) model has many applications in the real world nowadays. We applied the CNN based frameworks to the different types of camera based systems and improve the efficiency of the contactless vital signs estimation. In the field of medical healthcare, contactless monitoring draws a lot attention in the recent years because the wide use of different sensors. However most of the methods are still in the experimental phase and have never been used in real applications. We were interested in monitoring vital signs of patients lying in bed or sitting around the bed at a hospital. This required using sensors that have range of 2 to 5 meters. We developed a system based on the depth camera for detecting people’s chest area and the radar for estimating the respiration signal. We applied a CNN based object detection method to locate the position of the subject lying in the bed covered with blanket. And the respiratory-like signal is estimated from the radar device based on the detected subject’s location. We also create a manually annotated dataset containing 1,320 depth images. In each of the depth image the silhouette of the subject’s upper body is annotated, as well as the class. In addition, a small subset of the depth images also labeled four keypoints for the positioning of people’s chest
area. This dataset is built on the data collected from the anonymous patients at the hospital which is substantial. Another problem in the field of human vital signs monitoring is that systems seldom contain the functions of monitoring multiple vital signs at the same time. Though there are few attempting to work on this problem recently, they are still all prototypes and have a lot limitations like shorter operation distance. In this application, we focused on contactless estimating subjects’ temperature, breathing rate and heart rate at different distances with or without wearing the mask. We developed a system based on thermal and RGB camera and also explore the feasibility of CNN based object detection algorithms to detect the vital signs from human faces with specifically defined RoIs based on our thermal camera system. We proposed the methods to estimate respiratory rate and heart rate from the thermal videos and RGB videos. The mean absolute difference (MAE) between the
estimated HR using the proposed method and the baseline HR for all subjects at different distances is 4.24 ± 2.47 beats per minute, the MAE between the estimated RR and the reference RR for all subjects at different distances is 1.55 ± 0.78 breaths per minute.
4
Johnson, Kimberly D. "Patients’ Vital Signs and the Length of Time between the Monitoring of Vital Signs during Times of Emergency Department Crowding." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1301014586.
Berelowitz, Jonathan. "The development of a neonatal vital signs database." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/26607.
Modern intelligent monitoring systems use digital computer technology to analyze and evaluate physiological vital signs. This analytical and evaluative process is performed by algorithms developed for this purpose. The degree of 'intelligence' of the monitoring system is dependent on the 'sensitivity' and 'specificity' of these algorithms. In order to develop robust and clinically valid algorithms, a database of representative waveforms is required. The aim of this thesis was to create a neonatal vital signs database to be used for this purpose, by means of a computer-based central station. The computer was interfaced to a number of neonatal monitors (Neonatal ICU, Groote Schuur Hospital). The monitors were interrogated to obtain patient condition, ECG waveforms and respiration waveforms using the impedance technique. When possible, percentage oxygen saturation was also captured. The database contains 509 documented clinical records obtained from 35 patients and 20 records containing examples of technical alarm conditions and high frequency noise. Additional patient record data is included. Clinical events recorded include apnoea, bradycardia, periodic breathing tachycardia, tachypnoea and normal traces. These events were recorded against a variety of signal quality conditions that have been characterized in Appendix C. A prototype rate detection algorithm was checked using samples from the database.
6
Roald, Nikolai Grov. "Estimation of Vital Signs from Ambient-Light Non-Contact Photoplethysmography." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20869.
Abstract In this thesis we have investigated different aspects of non-contact photoplethysmography (PPG) using only ambient lighting. We have investigated how to develop a functional, automatic system based on this to detect heart rate. We have also investigated how to use the concept of non-contact PPG to acquire further relevant medical information from a human subject. Abstract We have investigated different color spaces and found that the Hue and Saturation channels from HSL and HSV color spaces are far superior to the Green channel of the RGB color space, which has previously been used. Especially under circumstances with much noise, are these channels superior and more robust against noise. Abstract The concept of independent component analysis (ICA) has been investigated as a method of improving results. It is found to improve some channels and color spaces, but the best ICA channel does not have better performance than the best non-ICA channel. Abstract The phase of, and difference between, PPG signals has been investigated as a means of acquiring medical information. The phase measurements are highly vulnerable to noise, but there are indications that occlusion can induce a phase difference between different limbs. This difference can be used to calculate change in blood pressure. Abstract We have synchronized ECG and PPG data, and found that there is a high correlation between the two. Pulse transit time (PTT) from the heart to the measurement site can be calculated using this synchronized information. Abstract Further have different motion compensation algorithms and signal processing techniques been investigated with the goal of improving the PPG signal and a programs ability to automatically detect heart rate.
7
Tariq, Abubakar. "Vital signs monitoring using Doppler radar and on-body antennas." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4332/.
The chest of a person moves due to the heart beating and the lungs expanding and contracting. So the chest movement contains information about the heart and breathing rates. This property is used to detect vital signs using Doppler radar and On-Body antennas. These methods can be accurate, cost-effective, portable, comfortable and low profile alternatives to present commercial heart and breathing rate monitoring devices. The 1st method employing Doppler Effect is non-contact. It detects both the heart and breathing rates using the modulated reflected signals from the chest of a person. A parametric study is conducted considering frequency, power and distance to determine the best parameters for maximum accuracy. A small population study is conducted considering 5 people to validate the accuracy and working of Doppler radar as a vital signs monitor. The 2nd method monitors the heart and breathing rates by sensing motion in the near field proximity of an antenna using the antenna’s reflection coefficient. Simulation studies are conducted using CST chest models to verify the principle. An extensive parametric investigation considering frequency, antenna type, power, antenna location on body, body Position, and distances (between chest and antenna) is conducted to find parameters for maximum detection accuracy. A human population study considering 13 people is conducted to establish heart rate and heart rate variability (HRV) measurement feasibility. A signal processing study is also performed and the best algorithms are identified for accurate detection of vital signs. Besides this novel frequency and pattern reconfigurable antennas are proposed and designed for communications and/or vital signs monitoring purposes.
8
Collin, Frida. "Recognising deterioration: nurses’documentation of vital signs–a systematic literature review." Thesis, Örebro universitet, Institutionen för medicinska vetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-90274.
Introduction: Research show that patients frequently display abnormal vital signs as much as 48h before a serious adverse event occur, such as cardiac arrest or unplanned intensive care unit admission. Therefore, early recognition of these changes trough vital sign examination is essential in the prevention of deterioration. However, deterioration is often missed.Aim: The aim was to investigate to what extent nurses in the general ward are documenting vital signs prior to patient deterioration. Methods: A systematic literature review was done usingthe databases PubMed and CINAHL. Inclusion criteria: general ward and publication 2010-2020, exclusion criteria:emergency department, acute admission ward, paediatric ward, psychiatric ward, interventions and continuousmonitoring. Critical appraisalusingtools from Joanna Briggs Institute. PRISMA statement for reporting of systematic reviews.Results: Nine studies were included. It was seen that the fraction of cases who had vital signs documented prior to deterioration was diverse, although never complete. Some studies showed an acceptable fraction of patients who weremonitoredin the hours prior to deterioration, but it was seen that the monitoring did not always escalate as the patient got worse. The vital signs most frequently documentedwereheart rate and pulse, thoughstill missing in a large fraction of charts. Respiratory rate was documented less than the other vital signs.Conclusions: This study suggests that documentation of vital signs prior to deterioration is diverse but often incomplete. Further research is needed to understand what can be done to improve vital sign documentation on general wards.
9
Gasser, William W. "Using five vital signs of spiritual health to evaluate churches." Theological Research Exchange Network (TREN), 1999. http://www.tren.com.
Russon, Ryan K. "Computerized Measurement of Psychological Vital Signs in a Clinical Setting." [Tampa, Fla. : s.n.], 2003. http://purl.fcla.edu/fcla/etd/SFE0000097.
Davenport, Andrew, Todd W. Costantini, Raul Coimbra, Marc M. Sedwitz, A. Brent Eastman, David V. Feliciano, David V. Feliciano, et al. "Vital Signs." In Encyclopedia of Intensive Care Medicine, 2458. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_2426.
Carroll, Michael. "Vital Signs." In Europa’s Lost Expedition, 125–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43159-8_9.
Phillips, Raymond E. "Vital Signs." In The Physical Exam, 47–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63847-8_8.
Yale, Steven H., Halil Tekiner, Joseph J. Mazza, Eileen S. Yale, and Ryan C. Yale. "Vital Signs." In Cardiovascular Eponymic Signs, 391–408. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67596-7_18.
Makhijani, Shakuntala. "Growth in Global Oil Market Slows." In Vital Signs, 2–5. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-457-4_1.
Lucky, Matt. "Carbon Capture and Storage Experiences Limited Growth in 2011." In Vital Signs, 39–43. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-457-4_10.
Nierenberg, Danielle, and Katie Spoden. "Global Grain Production at Record High Despite Extreme Climatic Events." In Vital Signs, 46–48. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-457-4_11.
Lyons, Michael J., Daniel Kluender, Chi-Ho Chan, and Nobuji Tetsutani. "Vital signs." In the SIGGRAPH 2003 conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/965400.965482.
Rivera-Toral, Tonatiuh, Ruben Alejos-Palomares, and M. C. Yuhsi Takahashi-Iturriaga. "Vital Signs Monitoring Through Internet." In 17th International Conference on Electronics, Communications and Computers (CONIELECOMP'07). IEEE, 2007. http://dx.doi.org/10.1109/conielecomp.2007.38.
Gagarin, Ruthsenne, Gui Chao Huang, Ahmed Rabbi, and Magdy F. Iskander. "Textile sensor for monitoring vital signs." In 2014 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2014. http://dx.doi.org/10.1109/aps.2014.6904810.
Payli, Birhan, Arjan Durresi, Deniz U. Dincer, and Leonard Barolli. "Real-Time Monitoring of Vital Signs." In 2009 International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2009. http://dx.doi.org/10.1109/waina.2009.161.
Yang, Zhicheng, Parth H. Pathak, Yunze Zeng, Xixi Liran, and Prasant Mohapatra. "Monitoring vital signs using millimeter wave." In MobiHoc'16: The Seventeenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2942358.2942381.
Pititeeraphab, Y., and M. Sangworasil. "Vital signs monitoring system using FPGAs." In 2014 7th Biomedical Engineering International Conference (BMEiCON). IEEE, 2014. http://dx.doi.org/10.1109/bmeicon.2014.7017447.
Placencia, Franklin, Santiago Manzano, Juan P. Pallo, Marco Jurado, and Dennis Chicaiza. "Electronic clothes for vital signs monitorig." In 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE, 2017. http://dx.doi.org/10.1109/chilecon.2017.8229572.
Tekleab, Aaron, and Mihai Sanduleanu. "Vital Signs Detection Using FMCW Radar." In 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA). IEEE, 2022. http://dx.doi.org/10.1109/icecta57148.2022.9990258.
Park, Seung-Ho, and Kyoung-Su Park. "Advance Monitoring of Blood Pressure and Respiratory Rate Using De-Noising Auto Encoder." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65921.
Abstract As the importance of continuous vital signs monitoring increases, the need for wearable devices to measure vital sign is increasing. In this study, the device is designed to measure blood pressure (BP), respiratory rate (RR), and heartrate (HR) with one sensor. The device is in earphone format and is manufactured as wireless type using Arduino-based bluetooth module. The device measures pulse signal in the Superficial temporal artery using Photoplethysmograghy (PPG) sensor. The device uses the Auto Encoder to remove noise caused by movement, etc., contained in the pulse signal. Extract the feature from the pulse signal and use them for the vital sign measurement. The device is measured using Slope transit time (STT) method for BP and Respiratory sinus arrhythmia (RSA) method for RR. Finally, the accuracy is determined by comparing the vital signs measured through the device with the reference vital signs measured simultaneously.
Reports on the topic "Vital signs":
1
Backman, D. K. Integration of Instrumentation for Measuring Vital Signs. Fort Belvoir, VA: Defense Technical Information Center, October 1992. http://dx.doi.org/10.21236/adb170000.
Lohman, B., O. Boric-Lubecke, V. M. Lubecke, P. W. Ong, and M. M. Sondhi. A Digital Signal Processor for Doppler Radar Sensing of Vital Signs. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada412597.
Amacher, Michael C., Katherine P. O'Neil, and Charles H. Perry. Soil vital signs: A new Soil Quality Index (SQI) for assessing forest soil health. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2007. http://dx.doi.org/10.2737/rmrs-rp-65.
Fehring, J. P. Reservoir vital signs monitoring, 1992: Bacteriological conditions in the Tennessee Valley. Fourth annual report. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10183537.
Hade, Edward W., and James Sylvester. Testing and Evaluation of the Protocol Systems, Inc. PROPAQ 206 EL Enclore Vital Signs Patient Monitor. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada357733.
Bracewell, Jeff. Shoreline change at Padre Island National Seashore, Texas: 2017–2021 data summary. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2289824.
In the spring of 2017, 2019, and 2021 the Gulf Coast Network collected shoreline position data at Padre Island National Seashore as a part of the NPS Vital Signs Monitoring Program. Monitoring was conducted following methods detailed in Monitoring Shoreline Position at Gulf Coast Network Parks: Protocol Implementation Plan (PIP; Bracewell 2017). Shoreline change was calculated using the Digital Shoreline Analysis System developed by USGS (Theiler et al. 2008). This report provides a summary of changes in shoreline position at Padre Island NS from May 2017 through May 2021.
7
Jiang, Qidong, and Tao Xu. Effect Of Adopting Low Calories On Patients' Vital Signs In The Nutritional Support Of Critically-Ill Patients In The ICU: A Systematic Review And Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0052.
Baron, Lisa. Post-Dorian shoreline change at Cape Hatteras National Seashore: 2019 report. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2282127.
In 2018 and 2019 the Southeast Coast Network (SECN), with assistance from park staff, collected long-term shoreline monitoring data at Cape Hatteras National Seashore as part of the National Park Service (NPS) Vital Signs Monitoring Program. Monitoring was conducted following methods developed by the NPS Northeast Coastal and Barrier Network and consisted of mapping the high-tide swash line using a Global Positioning System unit in the spring of each year (Psuty et al. 2010). Shoreline change was calculated using the Digital Shoreline Analysis System (DSAS) developed by the United States Geological Survey (USGS; Himmelstoss et al. 2018). Following the same field methods used for monitoring long-term shoreline change, geospatial data were collected as part of the Hurricane Dorian (or Dorian) Incident Response from September 12–16, 2019. This report summarizes the post-Dorian data and the previous two shoreline data collection efforts (spring 2019 and fall 2018).
9
Bracewell, Jeff. Shoreline change at Gulf Islands National Seashore, Florida and Mississippi: 2018–2021 data summary. National Park Service, March 2022. http://dx.doi.org/10.36967/nrr-2293103.
In May and June 2018, and April 2021, the Gulf Coast Network (GULN) surveyed shoreline position at Gulf Islands National Seashore (GUIS) as a part of the NPS Vital Signs Monitoring Program. Monitoring was conducted following methods detailed in Monitoring Shoreline Position at Gulf Coast Network Parks: Protocol Implementation Plan (PIP; Bracewell 2017). Shoreline change was calculated using the Digital Shoreline Analysis System developed by USGS (Theiler et al. 2008). Key findings from this effort are as follows: In Florida, the mean shoreline change rate from 2018 to 2021 was -7.10 meters/year (-23.3 feet[ft]/year) with a standard deviation of 5.01 meters (16.4 ft) with approximately 95% of transects exhibiting landward retreat. In Mississippi, the mean change in island width from 2018 to 2021 was -7.46 meters/year (-24.5 ft/year) with a standard deviation of 12.49 meters (41.0 ft) with approximately 73% of transects exhibiting a loss in width. This project is in the early phases of implementation and will benefit from future surveys to better understand the influence of slight changes in survey timing and other environmental variations.
10
Bracewell, Jeff, and Jane Carlson. Coastal topography change at Padre Island National Seashore, Texas: 2017–2021 data summary. National Park Service, March 2022. http://dx.doi.org/10.36967/nrds-2293032.
In May and June 2017, April 2019, and May 2021, the Gulf Coast Network (GULN) collected coastal topography data at Padre Island National Seashore (PAIS) as a part of the NPS Vital Signs Monitoring Program. Monitoring was conducted following methods detailed in Monitoring Coastal Topography at Gulf Coast Network Parks: Protocol Implementation Plan (PIP; Bracewell 2017). Key findings from this effort are as follows: A fixed set of 23 topographic transects distributed along the Gulf shore were surveyed. The most accelerated change in profile area occurred in the transect groups located near Mile Markers 15 and 37. This is likely due to the impacts from Hurricane Hanna. The transects on the south end of Padre Island National Seashore near Mansfield Channel showed short-term losses in profile area (2019 to 2021) that are less than the longer-term losses (2017 to 2021). The transect nearest the channel showed substantial recovery, which is related to the deposition of dredged material. This project is in the early phases of implementation and will benefit from future surveys to better understand the influence of slight changes in survey timing and other environmental variations.
