Journal articles: 'Biomedical and Physiological Monitoring'

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Ansermino, J. Mark, Stephan K. W. Schwarz, Guy A. Dumont, Chris Brouse, Yang Ping, Joanne Lim, Dustin Dunsmuir, and Jeremy Daniels. "Clinical decision support in physiological monitoring." International Journal of Biomedical Engineering and Technology 3, no. 3/4 (2010): 264. http://dx.doi.org/10.1504/ijbet.2010.032696.

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Palumbo, Arrigo, Patrizia Vizza, Barbara Calabrese, and Nicola Ielpo. "Biopotential Signal Monitoring Systems in Rehabilitation: A Review." Sensors 21, no. 21 (October 28, 2021): 7172. http://dx.doi.org/10.3390/s21217172.

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Monitoring physical activity in medical and clinical rehabilitation, in sports environments or as a wellness indicator is helpful to measure, analyze and evaluate physiological parameters involving the correct subject’s movements. Thanks to integrated circuit (IC) technologies, wearable sensors and portable devices have expanded rapidly in monitoring physical activities in sports and tele-rehabilitation. Therefore, sensors and signal acquisition devices became essential in the tele-rehabilitation path to obtain accurate and reliable information by analyzing the acquired physiological signals. In this context, this paper provides a state-of-the-art review of the recent advances in electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG) signal monitoring systems and sensors that are relevant to the field of tele-rehabilitation and health monitoring. Mostly, we focused our contribution in EMG signals to highlight its importance in rehabilitation context applications. This review focuses on analyzing the implementation of sensors and biomedical applications both in literature than in commerce. Moreover, a final review discussion about the analyzed solutions is also reported at the end of this paper to highlight the advantages of physiological monitoring systems in rehabilitation and individuate future advancements in this direction. The main contributions of this paper are (i) the presentation of interesting works in the biomedical area, mainly focusing on sensors and systems for physical rehabilitation and health monitoring between 2016 and up-to-date, and (ii) the indication of the main types of commercial sensors currently being used for biomedical applications.

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Sohmyung Ha, Chul Kim, Yu M. Chi, Abraham Akinin, Christoph Maier, Akinori Ueno, and Gert Cauwenberghs. "Integrated Circuits and Electrode Interfaces for Noninvasive Physiological Monitoring." IEEE Transactions on Biomedical Engineering 61, no. 5 (May 2014): 1522–37. http://dx.doi.org/10.1109/tbme.2014.2308552.

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Girija, C., and M. N. Sivakumar. "Determination of Physiological Parameters using Biomedical Monitoring System based on Labview FPGA." Research Journal of Pharmacy and Technology 11, no. 9 (2018): 4021. http://dx.doi.org/10.5958/0974-360x.2018.00739.4.

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Nocera, Antonio, Agnese Sbrollini, Sofia Romagnoli, Micaela Morettini, Ennio Gambi, and Laura Burattini. "Physiological and Biomechanical Monitoring in American Football Players: A Scoping Review." Sensors 23, no. 7 (March 28, 2023): 3538. http://dx.doi.org/10.3390/s23073538.

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American football is the sport with the highest rates of concussion injuries. Biomedical engineering applications may support athletes in monitoring their injuries, evaluating the effectiveness of their equipment, and leading industrial research in this sport. This literature review aims to report on the applications of biomedical engineering research in American football, highlighting the main trends and gaps. The review followed the PRISMA guidelines and gathered a total of 1629 records from PubMed (n = 368), Web of Science (n = 665), and Scopus (n = 596). The records were analyzed, tabulated, and clustered in topics. In total, 112 studies were selected and divided by topic in the biomechanics of concussion (n = 55), biomechanics of footwear (n = 6), biomechanics of sport-related movements (n = 6), the aerodynamics of football and catch (n = 3), injury prediction (n = 8), heat monitoring of physiological parameters (n = 8), and monitoring of the training load (n = 25). The safety of players has fueled most of the research that has led to innovations in helmet and footwear design, as well as improvements in the understanding and prevention of injuries and heat monitoring. The other important motivator for research is the improvement of performance, which has led to the monitoring of training loads and catches, and studies on the aerodynamics of football. The main gaps found in the literature were regarding the monitoring of internal loads and the innovation of shoulder pads.

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Tomasevic, Olivera, Luka Mejic, Darko Stanisic, Vojin Ilic, and Filip Gasparic. "A portable device for physiological measurements in biomedical engineering education." Serbian Journal of Electrical Engineering 16, no. 1 (2019): 55–70. http://dx.doi.org/10.2298/sjee1901055t.

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The physiological data acquisition system described in this paper is developed for the purposes of student laboratory exercises in biomedical engineering program. The system has the functionality of electrocardiography and electromyography monitoring and can be used as a photoplethysmograph. Alongside the portability, other significant capabilities of the system are concerned with the resources that allow the system?s complete functionality without the cable connections to other devices. Besides, the system's open architecture enables various types of expanding and modifications, which is suitable for student project realizations.

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Scully, C. G., Jinseok Lee, J. Meyer, A. M. Gorbach, D. Granquist-Fraser, Y. Mendelson, and K. H. Chon. "Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone." IEEE Transactions on Biomedical Engineering 59, no. 2 (February 2012): 303–6. http://dx.doi.org/10.1109/tbme.2011.2163157.

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Harris, N. D., S. B. Baykouchev, J. L. B. Marques, T. Cochrane, E. George, S. R. Heller, and J. D. Ward. "A portable system for monitoring physiological responses to hypoglycaemia." Journal of Medical Engineering & Technology 20, no. 6 (January 1996): 196–202. http://dx.doi.org/10.3109/03091909609008998.

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Lim, Yong Gyu, Ki Hwan Hong, Ko Keun Kim, Jae Hyuk Shin, Seung Min Lee, Gih Sung Chung, Hyun Jae Baek, Do-Un Jeong, and Kwang Suk Park. "Monitoring physiological signals using nonintrusive sensors installed in daily life equipment." Biomedical Engineering Letters 1, no. 1 (February 2011): 11–20. http://dx.doi.org/10.1007/s13534-011-0012-0.

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Zheng, Wenfeng, Mingzhe Liu, Chao Liu, Dan Wang, and Kenan Li. "Recent Advances in Sensor Technology for Healthcare and Biomedical Applications (Volume II)." Sensors 23, no. 13 (June 27, 2023): 5949. http://dx.doi.org/10.3390/s23135949.

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With remarkable progress being witnessed in recent years in the development of sensors, these advances in sensor technology provide unprecedented opportunities for (1) the early diagnosis and prevention of human diseases by detecting critical biomarkers; (2) health assessments by monitoring and analyzing human physiological signals in healthcare and biomedical applications; and (3) the efficient evaluation of human-health-relevant environmental factors by monitoring and measuring environmental determinants [...]

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Coote, Joanna M., Ryo Torii, and Adrien E. Desjardins. "Dynamic Characterisation of Fibre-Optic Temperature Sensors for Physiological Monitoring." Sensors 21, no. 1 (December 31, 2020): 221. http://dx.doi.org/10.3390/s21010221.

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Fast, miniature temperature sensors are required for various biomedical applications. Fibre-optics are particularly suited to minimally invasive procedures, and many types of fibre-optic temperature sensors have been demonstrated. In applications where rapidly varying temperatures are present, a fast and well-known response time is important; however, in many cases, the dynamic behaviour of the sensor is not well-known. In this article, we investigate the dynamic response of a polymer-based interferometric temperature sensor, using both an experimental technique employing optical heating with a pulsed laser, and a computational heat transfer model based on the finite element method. Our results show that the sensor has a time constant on the order of milliseconds and a −6 dB bandwidth of up to 178 Hz, indicating its suitability for applications such as flow measurement by thermal techniques, photothermal spectroscopy, and monitoring of thermal treatments.

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Brown Macheso, Paul Stone, and Angel G Meela. "IoT Based Patient Health Monitoring using ESP8266 and Arduino." International Journal of Computer Communication and Informatics 3, no. 2 (October 30, 2021): 75–83. http://dx.doi.org/10.34256/ijcci2127.

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Internet of Things is a technological paradigm which can be incorporated in real time patient monitoring system. The review and implementation of real time monitoring of patients using biomedical sensors and microcontroller is presented where physiological parameters like heart-rate, body temperature is measured. This IoT prototype could read the pulse rate and measure the body temperature updates them to things peak an IoT platform.

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Naranjo-Hernández, David, Javier Reina-Tosina, and Laura M. Roa. "Special Issue “Body Sensors Networks for E-Health Applications”." Sensors 20, no. 14 (July 16, 2020): 3944. http://dx.doi.org/10.3390/s20143944.

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Body Sensor Networks (BSN) have emerged as a particularization of Wireless Sensor Networks (WSN) in the context of body monitoring environments, closely linked to healthcare applications. These networks are made up of smart biomedical sensors that allow the monitoring of physiological parameters and serve as the basis for e-Health applications. This Special Issue collects some of the latest developments in the field of BSN related to new developments in biomedical sensor technologies, the design and experimental characterization of on-body/in-body antennas and new communication protocols for BSN, including some review studies.

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ESENALIEV, RINAT O. "BIOMEDICAL OPTOACOUSTICS." Journal of Innovative Optical Health Sciences 04, no. 01 (January 2011): 39–44. http://dx.doi.org/10.1142/s1793545811001253.

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Optoacoustics is a promising modality for biomedical imaging, sensing, and monitoring with high resolution and contrast. In this paper, we present an overview of our studies for the last two decades on optoacoustic effects in tissues and imaging capabilities of the optoacoustic technique. In our earlier optoacoustic works we studied laser ablation of tissues and tissue-like media and proposed to use optoacoustics for imaging in tissues. In mid-90s we demonstrated detection of optoacoustic signals from tissues at depths of up to several centimeters, well deeper than the optical diffusion limit. We then obtained optoacoustic images of tissues both in vitro and in vivo. In late 90s we studied optoacoustic monitoring of thermotherapy: hyperthermia, coagulation, and freezing. Then we proposed and studied optoacoustic monitoring of blood oxygenation, hemoglobin concentration, and other physiologic parameters.

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HAIDER, MOHAMMAD RAFIQUL, JEREMY HOLLEMAN, SALWA MOSTAFA, and SYED KAMRUL ISLAM. "LOW-POWER BIOMEDICAL SIGNAL MONITORING SYSTEM FOR IMPLANTABLE SENSOR APPLICATIONS." International Journal of High Speed Electronics and Systems 20, no. 01 (March 2011): 115–28. http://dx.doi.org/10.1142/s0129156411006453.

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Implantable biomedical sensors and continuous real time in vivo monitoring of various physiological parameters requires low-power sensor electronics and wireless telemetry for transmission of sensor data. In this article, generic blocks required for such systems have been demonstrated with design examples. Ideally neural or electro-chemical sensor signal monitoring units comprise of low noise amplifiers, current or voltage mode analog to digital domain data conversion circuits and wireless telemetry circuits. The low-noise amplifier described here has a novel open loop amplifier scheme used for neural signal recording systems. The design has been implemented using 0.5-μm SOI-BiCMOS process. The fabricated chip can work with 1 V supply and consumes 805 nA. The current mode analog to digital conversion signal processing circuitry takes the current signal as an input and generates a pulse-width modulated data signal. The data signal is then modulated with a high frequency carrier signal to generate FSK data for wireless transmission. The design is fabricated in 0.5-μm standard CMOS process and consumes 1.1 mW of power with 3.5 V supply.

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Ricke, Darrell O., James Harper, Anna Shcherbina, Nelson Chiu, and Tara Boettcher. "Integrated Biomedical System." F1000Research 7 (February 8, 2018): 162. http://dx.doi.org/10.12688/f1000research.13601.1.

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Background: Capabilities for generating and storing large amounts of data relevant to individual health and performance are rapidly evolving and have the potential to accelerate progress toward quantitative and individualized understanding of many important issues in health and medicine. Recent advances in clinical and laboratory technologies provide increasingly complete and dynamic characterization of individual genomes, gene expression levels for genes, relative abundance of thousands of proteins, population levels for thousands of microbial species, quantitative imaging data, and more – all on the same individual. Personal and wearable electronic devices are increasingly enabling these same individuals to routinely and continuously capture vast amounts of quantitative data including activity, sleep, nutrition, environmental exposures, physiological signals, speech, and neurocognitive performance metrics at unprecedented temporal resolution and scales. While some of the companies offering these measurement technologies have begun to offer systems for integrating and displaying correlated individual data, these are either closed/proprietary platforms that provide limited access to sensor data or have limited scope that focus primarily on one data domain (e.g. steps/calories/activity, genetic data, etc.). Methods: The Integrated Biomedical System is developed as a Ruby on Rails application with a relational database. Results: Data from multiple wearable monitors for activity, sleep, and physiological measurements, phone GPS tracking, individual genomics, air quality monitoring, etc. have been integrated into the Integrated Biomedical System. Conclusions: The Integrated Biomedical System is being developed to demonstrate an adaptable open-source tool for reducing the burden associated with integrating heterogeneous genome, interactome, and exposome data from a constantly evolving landscape of biomedical data generating technologies. The Integrated Biomedical System provides a scalable and modular framework that can be extended to include support for numerous types of analyses and applications at scales ranging from personal users, communities and groups, to potentially large populations.

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Traxler, S., H. Pfützner, E. Kaniusas, and K. Futschik. "Magneto-Elastic Bilayers for Sleep Apnea Monitoring." Materials Science Forum 670 (December 2010): 355–59. http://dx.doi.org/10.4028/www.scientific.net/msf.670.355.

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Magneto-elastic bilayers (BLs), consisting of a magnetostrictive layer and a non-magnetic counter layer, show highest sensitivity with respect to bending. This paper describes a biomedical application in the field of sleep apnea screening. A multi-parametric detector fixed at the thorax contains two BLs. One BL yields a skin curvature sensor adjusting itself to curvature variations given by physiological activities. The second BL exhibits a free end thus working as a motion sensor. The two signals are fed into artificial neural networks for the detection of events like normal respiration and apneas, as well as body movements and position.

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Zhang, Zheng-Bo, Hao Wu, Jie-Wen Zheng, Wei-Dong Wang, Bu-Qing Wang, Hong-Yun Liu, and Guo-Jing Wang. "A WEARABLE BIOFEEDBACK SYSTEM SUPPORTING REAL-TIME PACED BREATHING TRAINING AND PHYSIOLOGICAL MONITORING." Biomedical Engineering: Applications, Basis and Communications 25, no. 02 (April 2013): 1350018. http://dx.doi.org/10.4015/s101623721350018x.

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Slow and regular breathing can generate beneficial effects on cardiovascular system and reduce stress. Breathing pacer is usually helpful for a user to learn to control breathing and restore an optimal breathing pattern. In this paper, a wearable physiological monitoring system supporting real-time breathing biofeedback is presented. An elastic T-shirt with two inductive bands integrated in the positions of rib cage (RC) and abdomen (AB) is used as a motherboard both for physiological monitoring and respiratory biofeedback. Physiological signals such as RC and AB respiration, electrocardiography (ECG), photoplethysmograph (PPG) and artery pulse wave (APW) can be sampled, stored and transmitted wirelessly. When this system is used in biofeedback applications, respiratory signals are processed in real-time by a peak-detection algorithm to recognize the concurrent breathing pattern. By comparing the actual breathing rate with the guiding breathing rate, an audio biofeedback is generated by playing music audios stored in the Micro-SD card through an MP3 decoder chip VS1053. With this design, multiple functions of physiological monitoring, real-time signal processing and audio biofeedback were integrated in one wearable system. Experiment showed that through audio biofeedback this system can guide the user to practice a slow and regular breathing effectively. Physiological data recorded from a Yoga practitioner during meditation demonstrated the capability of the system to acquire cardiopulmonary physiological data during slow breathing. This system is a useful tool both for breathing biofeedback training and its related scientific researches.

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Jegan R. and Nimi W.S. "Sensor Based Smart Real Time Monitoring of Patients Conditions Using Wireless Protocol." International Journal of E-Health and Medical Communications 9, no. 3 (July 2018): 79–99. http://dx.doi.org/10.4018/ijehmc.2018070105.

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This article describes how physiological signal monitoring plays an important role in identifying the health condition of heart. In recent years, online monitoring and processing of biomedical signals play a major role in accurate clinical diagnosis. Therefore, there is a requirement for the developing of online monitoring systems that will be helpful for physicians to avoid mistakes. This article focuses on the method for real time acquisition of an ECG and PPG signal and it's processing and monitoring for tele-health applications. This article also presents the real time peak detection of ECG and PPG for vital parameters measurement. The implementation and design of the proposed wireless monitoring system can be done using a graphical programming environment that utilizes less power and a minimized area with reasonable speed. The advantages of the proposed work are very simple, low cost, easy integration with programming environment and continuous monitoring of physiological signals.

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Osipov, A. N., A. V. Patseev, and S. V. Patseev. "Analysis Algorithm of Biomedical Signals in Remote Monitoring Systems of Human Health." Doklady BGUIR 21, no. 1 (March 1, 2023): 5–11. http://dx.doi.org/10.35596/1729-7648-2023-21-1-5-11.

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The article considers the problems of adaptation of existing and development of new diagnostic algorithms and methods of remote monitoring of the physiological state of a person in relation to the Internet of Things technology. In order to reduce the energy consumption of the wearable unit and biomedical signal sensors, reduce the redundancy of the recorded and transmitted diagnostic information, the critical situation recognition process is divided into two stages. At the first stage, the main indicators (heart rate and human fall signal) are monitored. If they do not comply with the norm, additional signals are analyzed (the second stage) to confirm the critical situa tion and determine the degree of alarm.

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Xue, Ziao, Li Wu, Junlin Yuan, Guodong Xu, and Yuxiang Wu. "Self-Powered Biosensors for Monitoring Human Physiological Changes." Biosensors 13, no. 2 (February 7, 2023): 236. http://dx.doi.org/10.3390/bios13020236.

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Human physiological signals have an important role in the guidance of human health or exercise training and can usually be divided into physical signals (electrical signals, blood pressure, temperature, etc.) and chemical signals (saliva, blood, tears, sweat). With the development and upgrading of biosensors, many sensors for monitoring human signals have appeared. These sensors are characterized by softness and stretching and are self-powered. This article summarizes the progress in self-powered biosensors in the past five years. Most of these biosensors are used as nanogenerators and biofuel batteries to obtain energy. A nanogenerator is a kind of generator that collects energy at the nanoscale. Due to its characteristics, it is very suitable for bioenergy harvesting and sensing of the human body. With the development of biological sensing devices, the combination of nanogenerators and classical sensors so that they can more accurately monitor the physiological state of the human body and provide energy for biosensor devices has played a great role in long-range medical care and sports health. A biofuel cell has a small volume and good biocompatibility. It is a device in which electrochemical reactions convert chemical energy into electrical energy and is mostly used for monitoring chemical signals. This review analyzes different classifications of human signals and different forms of biosensors (implanted and wearable) and summarizes the sources of self-powered biosensor devices. Self-powered biosensor devices based on nanogenerators and biofuel cells are also summarized and presented. Finally, some representative applications of self-powered biosensors based on nanogenerators are introduced.

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Kao, S. D., and G. J. Jan. "Microprocessor-based physiological signal monitoring and recording system for ambulabry subjects." Medical & Biological Engineering & Computing 33, no. 6 (November 1995): 830–34. http://dx.doi.org/10.1007/bf02523016.

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Hackl-Wimmer, Sigrid, Marina Tanja Waltraud Eglmaier, Lars Eichen, Karoline Rettenbacher, Daniel Macher, Catherine Walter-Laager, Helmut Karl Lackner, Ilona Papousek, and Manuela Paechter. "Effects of Touchscreen Media Use on Toddlers’ Sleep: Insights from Longtime ECG Monitoring." Sensors 21, no. 22 (November 12, 2021): 7515. http://dx.doi.org/10.3390/s21227515.

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Wearable biomedical sensor technology enables reliable monitoring of physiological data, even in very young children. The purpose of the present study was to develop algorithms for gaining valid physiological indicators of sleep quality in toddlers, using data from an undisturbing and easy-to-use wearable device. The study further reports the application of this technique to the investigation of potential impacts of early touchscreen media use. Toddlers’ touchscreen media use is of strong interest for parents, educators, and researchers. Mostly, negative effects of media use are assumed, among them, disturbances of sleep and impairments of learning and development. In 55 toddlers (32 girls, 23 boys; 27.4 ± 4.9 months; range: 16–37 months), ECG monitoring was conducted for a period of 30 (±3) h. Parents were asked about their children’s touchscreen media use and they rated their children’s sleep quality. The use of touchscreen media predicted the physiologically determined quality of sleep but not parent-reported sleep quality (such as sleep onset latency). Greater heart rate differences between restless sleep phases and restful sleep indicated poorer nighttime recovery in children with more frequent use of touchscreen media. The study demonstrates that the expert analysis of the ECG during sleep is a potent tool for the estimation of sleep quality in toddlers.

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Azarudeen Mohamed Arif, Abubaker M. Hamad, and Montasir Mohamed Mansour. "Internet of (Healthcare) Things Based Monitoring for COVID-19+ Quarantine/ Isolation Subjects Using Biomedical Sensors, A Lesson from the Recent Pandemic, and an Approach to the Future." Journal of Electronics, Electromedical Engineering, and Medical Informatics 5, no. 1 (January 25, 2023): 1–12. http://dx.doi.org/10.35882/jeeemi.v5i1.267.

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The COVID-19+ pandemic has brought into keen focus the necessity to utilize and enforce our digital infrastructure for remote patient monitoring based on IoT (Internet of Things) technology since quarantines and isolations are playing a vital role in containing its spread. As of date, many viral tests and vaccines are in use while few drugs are in experimental stages, but there is always need for possibilities for increasing reliability of disease detection and monitoring at both levels of individual and society, and such aim can be supported by wearable biomedical sensors devices. Previously, wearable devices have been used to monitor physiological parameters during daily human living activities. Still, the investment of such technologies toward predicting infection by COVID-19+ remains essential to alert potential patients and start sequence of health systems intervention. It was found that wearable devices increased patients’ compliance to healthcare advice. Thus, in this perspective review, we have proposed an IoT based system to monitor the quarantine / isolation subjects during COVID-19+ and similar pandemic and quarantine observation. This wearable prototype, associated with the bundled mobile app, act to reports and tracks/monitoring the quarantined individuals. IoT based quarantine/isolation monitoring system is contact-free that could benefit especially healthcare professionals to lower the risk of exposure to infective pathogens. Current manuscript describes clinically relevant physiological human parameters that can be measured by wearable biomedical sensors and monitored based on IoT technology and their role in health tracking, stability, and recovery of COVID-19++ve individuals and front-line health workers. This paper aimed at initiation of an approach among front-line healthcare workers as well as biomedical engineers for developing digital healthcare platforms of monitoring and managing such pandemic.

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PETROFSKY, JERROLD S., CHANDLER A. PHILLIPS, JOSE ALMEYDA, RODERICK BRIGGS, WILLIAM COUCH, and WILLIAM COLBY. "Aerobic Trainer with Physiological Monitoring for Exercise in Paraplegic and Quadriplegic Patients." Journal of Clinical Engineering 10, no. 4 (October 1985): 307–16. http://dx.doi.org/10.1097/00004669-198510000-00006.

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Laske, Timothy G., Henry J. Harlow, Jon C. Werder, Mark T. Marshall, and Paul A. Iaizzo. "High Capacity Implantable Data Recorders: System Design and Experience in Canines and Denning Black Bears." Journal of Biomechanical Engineering 127, no. 6 (July 29, 2005): 964–71. http://dx.doi.org/10.1115/1.2049340.

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Background: Implantable medical devices have increasingly large capacities for storing patient data as a diagnostic aid and to allow patient monitoring. Although these devices can store a significant amount of data, an increased ability for data storage was required for chronic monitoring in recent physiological studies. Method of Approach: Novel high capacity implantable data recorders were designed for use in advanced physiological studies of canines and free-ranging black bears. These hermitically sealed titanium encased recorders were chronically implanted and programmed to record intrabody broadband electrical activity to monitor electrocardiograms and electromyograms, and single-axis acceleration to document relative activities. Results: Changes in cardiac T-wave morphology were characterized in the canines over a 6month period, providing new physiological data for the design of algorithms and filtering schemes that could be employed to avoid inappropriate implantable defibrillator shocks. Unique characteristics of bear hibernation physiology were successfully identified in the black bears, including: heart rate, respiratory rate, gross body movement, and shiver. An unanticipated high rejection rate of these devices occurred in the bears, with five of six being externalized during the overwintering period, including two devices implanted in the peritoneal cavity. Conclusions: High capacity implantable data recorders were designed and utilized for the collection of long-term physiological data in both laboratory and extreme field environments. The devices described were programmable to accommodate the diverse research protocols. Additionally, we have described substantial differences in the response of two species to a common device. Variations in the foreign body response of different mammals must be identified and taken into consideration when choosing tissue-contacting materials in the application of biomedical technology to physiologic research.

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Chen, Xiuqing, Hong Zhu, Deqin Geng, Wei Liu, Rui Yang, and Shoudao Li. "Merging RFID and Blockchain Technologies to Accelerate Big Data Medical Research Based on Physiological Signals." Journal of Healthcare Engineering 2020 (April 14, 2020): 1–17. http://dx.doi.org/10.1155/2020/2452683.

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The proliferation of physiological signals acquisition and monitoring system, has led to an explosion in physiological signals data. Additionally, RFID systems, blockchain technologies, and the fog computing mechanisms have significantly increased the availability of physiological signal information through big data research. The driver for the development of hybrid systems is the continuing effort in making health-care services more efficient and sustainable. Implantable medical devices (IMD) are therapeutic devices that are surgically implanted into patients’ body to continuously monitor their physiological parameters. Patients treat cardiac arrhythmia due to IMD therapeutic and life-saving benefits. We focus on hybrid systems developed for patient physiological signals for collection, storage protection, and monitoring in critical care and clinical practice. In order to provide medical data privacy protection and medical decision support, the hybrid systems are presented, and RFID, blockchain, and big data technologies are used to analyse physiological signals.

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Utomo, Bedjo, Triwiyanto Triwiyanto, Sari Luthfiyah, Wuri Ratna Hidayani, and Lukman Handoko. "Low-cost Physiological Parameter Development using Internet of Things Based for Monitoring Health Elderly." Open Access Macedonian Journal of Medical Sciences 10, B (April 1, 2022): 1726–30. http://dx.doi.org/10.3889/oamjms.2022.8818.

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BACKGROUND: In today’s digital era, the development of technology and information is so fast not only in the world of medicine and medical equipment but also in the model of health services so that many e-services are found, such as Alodokter and Halodoc. As well Internet of Things (IoT)-based technology IoT makes the method that can be used for remote services easy to reach and low cost, this is very significant in helping home care services in the elderly. AIM: The goal of this research is to develop the design of telehealthcare based on IoT, especially the vital signs of monitoring for the early detection of diseases in the elderly through health-care services. METHODS: This type of research is experimental with the design of equipment design using IoT based with parameters of a biomedical temperature sensor, heart rate, and SpO2 sensor for monitoring health elderly integrated into smartphone applications through programming Arduino ESP 32 microcontroller as a transmitter. RESULTS: The results of this study consist of two stages, including first determining the accuracy value of biomedical sensor data results by measuring the error factor, namely, for beats per minute sensor, data have a deviation error of 1.6 and SpO2 deviation error of 0.25 and temperature deviation error of 0.16 with a confidence level of 0.05% and second comparing parameter values to standard values using t-test tests with p > 0.05 results means that there is no significant difference between parameter values and standard values. CONCLUSION: The results of this study can be concluded that the physiological parameters, such as spo2, bpm and body temperature can be used for health monitoring in the elderly, and it is hoped that the results of this research design can be used for early detection of the elderly for routine health checks using a smartphone application.

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Schiavoni, Raissa, Giuseppina Monti, Emanuele Piuzzi, Luciano Tarricone, Annarita Tedesco, Egidio De Benedetto, and Andrea Cataldo. "Feasibility of a Wearable Reflectometric System for Sensing Skin Hydration." Sensors 20, no. 10 (May 16, 2020): 2833. http://dx.doi.org/10.3390/s20102833.

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One of the major goals of Health 4.0 is to offer personalized care to patients, also through real-time, remote monitoring of their biomedical parameters. In this regard, wearable monitoring systems are crucial to deliver continuous appropriate care. For some biomedical parameters, there are a number of well established systems that offer adequate solutions for real-time, continuous patient monitoring. On the other hand, monitoring skin hydration still remains a challenging task. The continuous monitoring of this physiological parameter is extremely important in several contexts, for example for athletes, sick people, workers in hostile environments or for the elderly. State-of-the-art systems, however, exhibit some limitations, especially related with the possibility of continuous, real-time monitoring. Starting from these considerations, in this work, the feasibility of an innovative time-domain reflectometry (TDR)-based wearable, skin hydration sensing system for real-time, continuous monitoring of skin hydration level was investigated. The applicability of the proposed system was demonstrated, first, through experimental tests on reference substances, then, directly on human skin. The obtained results demonstrate the TDR technique and the proposed system holds unexplored potential for the aforementioned purposes.

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Linaje, I., M. Fischer, C. Kunze, U. Grossman, W. Stork, and K. Müller-Glaser. "DEVELOPMENT OF A LINUX-PDA BASED MONITORING SYSTEM FOR SURVEILLANCE OF PHYSIOLOGICAL DATA VIA BLUETOOTH." Biomedizinische Technik/Biomedical Engineering 48, s1 (2003): 530–31. http://dx.doi.org/10.1515/bmte.2003.48.s1.530.

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Fei, Ding-Yu, Xiaoming Zhao, Cosmin Boanca, Esther Hughes, Ou Bai, Ronald Merrell, and Azhar Rafiq. "A biomedical sensor system for real-time monitoring of astronauts’ physiological parameters during extra-vehicular activities." Computers in Biology and Medicine 40, no. 7 (July 2010): 635–42. http://dx.doi.org/10.1016/j.compbiomed.2010.05.001.

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Vardasca, Magalhaes, and Mendes. "Biomedical Applications of Infrared Thermal Imaging: Current State of Machine Learning Classification." Proceedings 27, no. 1 (October 15, 2019): 46. http://dx.doi.org/10.3390/proceedings2019027046.

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Infrared thermal (IRT) imaging is a modality that allows non-invasive and non-ionizing monitoring of skin surface temperature distribution, providing underlining physiological information on peripheral blood flow, autonomic nervous system, vasoconstriction/vasodilatation, inflammation, transpiration or other processes that can contribute to skin temperature. This imaging method has been used in biomedical applications since 1956 and has proved its usefulness for vascular, neurological and musculoskeletal pathological situations. This research aims to identify and appraise the recent biomedical applications which had used intelligent analysis methods such as machine learning processes to classify and perform decision making towards improving the existing medical care, a literature review is presented and their operation in the biomedical applications of infrared thermal imaging.

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Kumar, Akash, Sangeeta Yadav, Jhilam Pramanik, Bhagavathi Sundaram Sivamaruthi, Titilope John Jayeoye, Bhupendra G. Prajapati, and Chaiyavat Chaiyasut. "Chitosan-Based Composites: Development and Perspective in Food Preservation and Biomedical Applications." Polymers 15, no. 15 (July 25, 2023): 3150. http://dx.doi.org/10.3390/polym15153150.

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Chitin, which may be the second-most common polymer after cellulose, is the raw material of chitosan. Chitosan has been infused with various plant extracts and subsidiary polymers to improve its biological and physiological properties. Chitosan’s physicochemical properties are enhanced by blending, making them potential candidates that can be utilized in multifunctional areas, including food processing, nutraceuticals, food quality monitoring, food packaging, and storage. Chitosan-based biomaterials are biocompatible, biodegradable, low toxic, mucoadhesive, and regulate chemical release. Therefore, they are used in the biomedical field. The present manuscript highlights the application of chitosan-based composites in the food and biomedical industries.

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Gardner, Reed M., and Marianne Hujcs. "Fundamentals of Physiologic Monitoring." AACN Advanced Critical Care 4, no. 1 (February 1, 1993): 11–24. http://dx.doi.org/10.4037/15597768-1993-1002.

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For centuries, medical practitioners had no electronic medical instruments and had to rely on their senses of sight, hearing, smell, taste, and touch to obtain physiologic measurements. Although it is possible to estimate blood pressure by palpating the pulse at the radial or brachial artery, such estimates are not accurate. Determining arterial oxygen saturation of hemoglobin is more complex: how “blue” a patient appears depends on skin coloration, lighting, and the examiner’s sense of color. Finally, using radiographic images to validate pulmonary edema when clinicians suspect that there is an elevated left atrial or pulmonary artery wedge pressure also challenges human senses. However, today’s medical instruments use transducers and signal processors to convert patient information into a form that clinicians can easily perceive and understand. This article defines terms used with biomedical instrumentation and discusses the components of ideal physiologic patient monitoring systems

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Kraemer, Matthias. "Physiological monitoring and control in hemodialysis: state of the art and outlook." Expert Review of Medical Devices 3, no. 5 (September 2006): 617–34. http://dx.doi.org/10.1586/17434440.3.5.617.

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Zhang, S., S. Tanaka, Y. A. B. D. Wickramasinghe, and P. Rolfe. "Fibre-optical sensor based on fluorescent indicator for monitoring physiological pH values." Medical & Biological Engineering & Computing 33, no. 2 (March 1995): 152–56. http://dx.doi.org/10.1007/bf02523033.

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Li, Qiao, Li‐Na Zhang, Xiao‐Ming Tao, and Xin Ding. "Review of Flexible Temperature Sensing Networks for Wearable Physiological Monitoring." Advanced Healthcare Materials 6, no. 12 (May 26, 2017): 1601371. http://dx.doi.org/10.1002/adhm.201601371.

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Degtiareva, S. A., D. S. Shiryaev, Y. S. Andreev, I. S. Polukhin, E. A. Kondratieva, I. G. Smirnova, and V. E. Bougrov. "Development of visual display and data transmission system for patients with chronic disorders of consciousness." Journal of Physics: Conference Series 2086, no. 1 (December 1, 2021): 012080. http://dx.doi.org/10.1088/1742-6596/2086/1/012080.

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Abstract The monitoring is integral part for patients with chronic disorders, as such cases require serious attention to save their life and predict recovery. Physiological signs such as heart rate, hemodynamic, temperature, saturation are collected from biomedical sensors to bedside monitors that medical staff could detect unexpected life-threatening conditions being around the patients. However, it is a tough job to being stuck at monitor for every person. Furthermore, such continuous supervision may lead to difficulties due to human error. Thus there is a need to capture, display all physiological changes visually and give a medical emergency about health conditions when they are out of the normal range. The main objective is the development of the optoelectronic system for visual monitoring and data transmission of patients in a coma by optical wireless communication.

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Xin, Yunchang, Kaifu Huo, Tao Hu, Guoyi Tang, and Paul K. Chu. "Corrosion products on biomedical magnesium alloy soaked in simulated body fluids." Journal of Materials Research 24, no. 8 (August 2009): 2711–19. http://dx.doi.org/10.1557/jmr.2009.0323.

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Magnesium alloys are potential materials in biodegradable hard tissue implants. Their degradation products in the physiological environment not only affect the degradation process but also influence the biological response of bone tissues. In the work reported here, the composition and structure of the corrosion product layer on AZ91 magnesium alloy soaked in a simulated physiological environment, namely simulated body fluids (SBFs), are systematically investigated using secondary electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, x-ray photoelectron spectroscopy (XPS), x-ray diffraction (XRD), and in situ monitoring of the corrosion morphology. Our results show that the corrosion product layer comprises mainly amorphous magnesium (calcium) phosphates, magnesium (calcium) carbonates, magnesium oxide/hydroxide, and aluminum oxide/hydroxide. The magnesium phosphates preferentially precipitate at obvious corrosion sites and are present uniformly in the corrosion product layer, whereas calcium phosphates nucleate at passive sites first and tend to accumulate at isolated and localized sites. According to the cross sectional views, the corrosion product layer possesses a uniform structure with thick regions several tens of micrometers as well as thin areas of several micrometers in some areas. Localized corrosion is the main reason for the nonuniform structure as indicated by the pan and cross-sectional views. The results provide valuable information on the cytotoxicity of magnesium alloys and a better understanding on the degradation mechanism of magnesium alloys in a physiological environment.

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Jorsch, Carola, Ulrike Schmidt, David Ulkoski, Carmen Scholz, Margarita Guenther, and Gerald Gerlach. "Implantable biomedical sensor array with biocompatible hermetic encapsulation." Journal of Sensors and Sensor Systems 5, no. 2 (July 6, 2016): 229–35. http://dx.doi.org/10.5194/jsss-5-229-2016.

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Abstract. The treatment of metabolic diseases, such as diabetes mellitus, requires sensitive measuring systems. These should be able to detect the different metabolism-related parameters (blood glucose level, pH, pCO2) simultaneously and continuously. A new approach is an implantable wireless sensor microarray consisting of several hydrogel-based piezoresistive sensors that can provide an on-line monitoring of physiological parameters in the human body fluid. The specifically customized stimuli-responsive hydrogels enable the development of reliable biosensors for different analytes. In this regard, the on-line medical diagnostics attracts the main interest. The developed sensor system and its encapsulation should correspond to high requirements on the biocompatibility of implants according to the medical standard DIN EN ISO 10993-5. A multi-layer sensor encapsulation consisting of parylene C and amphiphilic block copolymers was proposed for subcutaneous implants and characterized using contact angle measurements and X-ray photoelectron spectroscopy. In vitro studies with model cells showed no cytotoxicity of the polyethylene glycol-based block copolymers. In order to understand the behavior of implants under physiological conditions, the interaction of the implant surface with biological specimen like proteins is discussed, taking into account the possible protein adsorption on the implant surface due to tissue inflammation around the implant, which should be minimized. Finally, the biocompatibility of the developed sensor system was studied to prove the suitability of the approach.

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González-Sánchez, Carlos, Juan-Carlos Fraile, Javier Pérez-Turiel, Ellen Damm, Jochen G. Schneider, Daniel Schmitt, and Frank R. Ihmig. "Monitoring System for Laboratory Mice Transportation: A Novel Concept for the Measurement of Physiological and Environmental Parameters." Electronics 8, no. 1 (January 1, 2019): 34. http://dx.doi.org/10.3390/electronics8010034.

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Laboratory mice are used in biomedical research as “models” for studying human disease. These mice may be subject to significant levels of stress during transportation that can cause alterations that could negatively affect the results of the performed investigation. Here, we present the design and realization of a prototypical transportation container for laboratory mice, which may contribute to improved laboratory animal welfare. This prototype incorporates electric potential integrated circuit (EPIC) sensors, which have been shown to allow the recording of physiological parameters (heart rate and breathing rate) and other sensors for recording environmental parameters during mouse transportation. This allows for the estimation of the stress levels suffered by mice. First experimental results for capturing physiological and environmental parameters are shown and discussed.

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Ejofodomi, O'tega, Jason Zara, and Godswill Ofualagba. "MEDLINK: a low-cost, portable, verbally interactive and programmable remote patient monitoring (RPM) device." BMJ Innovations 6, no. 4 (June 30, 2020): 151–58. http://dx.doi.org/10.1136/bmjinnov-2019-000371.

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Remote patient monitoring (RPM) devices are a novel method for physicians to monitor their patients after discharge and long after they have gone home. Usually RPM devices are bulky, relatively expensive, restricted in the physiological parameters they measure and are hard to operate.MEDLINK is a low cost (~$C1500), verbally interactive, programmable and portable RPM device that possesses the ability to verbally interact with a physician to obtain his or her information as well as the patient’s key statistics, and then to obtain the physician’s selection of physiological parameters he or she wishes to remotely monitor from that particular patient. When the patient switches on the unit, MEDLINK also verbally interacts with the patient to measure and acquire the physician’s selected physiological parameter and sends this information to the physician’s phone, via text messages and emails. Security and privacy of patient’s medical data can be preserved by using the patient’s ID instead of patient name.Physiological parameters that can be acquired by MEDLINK include: ECG, blood pressure, heart rate, blood glucose, pulse rate, blood oxygen saturation, electromyography, body temperature, spirometer, respiratory rate and much more. Future work involves the integration of more biomedical sensors to the existing MEDLINK product to expand its range of measurable physiological parameters to its maximum, and to conduct a short clinical trial on the product prior to commercialisation.

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Valenti, Simone, Gabriele Volpes, Antonino Parisi, Daniele Peri, Jinseok Lee, Luca Faes, Alessandro Busacca, and Riccardo Pernice. "Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements." Biosensors 13, no. 4 (April 5, 2023): 460. http://dx.doi.org/10.3390/bios13040460.

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The increasing interest in innovative solutions for health and physiological monitoring has recently fostered the development of smaller biomedical devices. These devices are capable of recording an increasingly large number of biosignals simultaneously, while maximizing the user’s comfort. In this study, we have designed and realized a novel wearable multisensor ring-shaped probe that enables synchronous, real-time acquisition of photoplethysmographic (PPG) and galvanic skin response (GSR) signals. The device integrates both the PPG and GSR sensors onto a single probe that can be easily placed on the finger, thereby minimizing the device footprint and overall size. The system enables the extraction of various physiological indices, including heart rate (HR) and its variability, oxygen saturation (SpO2), and GSR levels, as well as their dynamic changes over time, to facilitate the detection of different physiological states, e.g., rest and stress. After a preliminary SpO2 calibration procedure, measurements have been carried out in laboratory on healthy subjects to demonstrate the feasibility of using our system to detect rapid changes in HR, skin conductance, and SpO2 across various physiological conditions (i.e., rest, sudden stress-like situation and breath holding). The early findings encourage the use of the device in daily-life conditions for real-time monitoring of different physiological states.

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Solé Morillo, Ángel, Joan Lambert Cause, Vlad-Eusebiu Baciu, Bruno da Silva, Juan C. Garcia-Naranjo, and Johan Stiens. "PPG EduKit: An Adjustable Photoplethysmography Evaluation System for Educational Activities." Sensors 22, no. 4 (February 11, 2022): 1389. http://dx.doi.org/10.3390/s22041389.

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The grown interest in healthcare applications has made biomedical engineering one of the fastest growing disciplines in recent years. Photoplethysmography (PPG) has gained popularity in recent years due to its versatility for noninvasive monitoring of vital signs such as heart rate, respiratory rate, blood oxygen saturation and blood pressure. In this work, an adjustable PPG-based educational device called PPG EduKit, which aims to facilitate the learning of the PPG technology for a wide range of engineering and medical disciplines is proposed. Through the use of this educational platform, the PPG signal can be understood, modified and implemented along with the extraction of its relevant physiological information from a didactic, intuitive and practical way. The PPG Edukit is evaluated for the extraction of physiological parameters such as heart rate and blood oxygen level, demonstrating how its features contribute to engineering and medical students to assimilate technical concepts in electrical circuits, biomedical instrumentation, and human physiology.

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Guk, Kyeonghye, Gaon Han, Jaewoo Lim, Keunwon Jeong, Taejoon Kang, Eun-Kyung Lim, and Juyeon Jung. "Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare." Nanomaterials 9, no. 6 (May 29, 2019): 813. http://dx.doi.org/10.3390/nano9060813.

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Wearable devices are becoming widespread in a wide range of applications, from healthcare to biomedical monitoring systems, which enable continuous measurement of critical biomarkers for medical diagnostics, physiological health monitoring and evaluation. Especially as the elderly population grows globally, various chronic and acute diseases become increasingly important, and the medical industry is changing dramatically due to the need for point-of-care (POC) diagnosis and real-time monitoring of long-term health conditions. Wearable devices have evolved gradually in the form of accessories, integrated clothing, body attachments and body inserts. Over the past few decades, the tremendous development of electronics, biocompatible materials and nanomaterials has resulted in the development of implantable devices that enable the diagnosis and prognosis through small sensors and biomedical devices, and greatly improve the quality and efficacy of medical services. This article summarizes the wearable devices that have been developed to date, and provides a review of their clinical applications. We will also discuss the technical barriers and challenges in the development of wearable devices, and discuss future prospects on wearable biosensors for prevention, personalized medicine and real-time health monitoring.

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Satyanarayana, K., A. D. Sarma, J. Sravan, M. Malini, and G. Venkateswarlu. "GPS and GPRS Based Telemonitoring System for Emergency Patient Transportation." Journal of Medical Engineering 2013 (December 10, 2013): 1–9. http://dx.doi.org/10.1155/2013/363508.

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Telemonitoring during the golden hour of patient transportation helps to improve medical care. Presently there are different physiological data acquisition and transmission systems using cellular network and radio communication links. Location monitoring systems and video transmission systems are also commercially available. The emergency patient transportation systems uniquely require transmission of data pertaining to the patient, vehicle, time of the call, physiological signals (like ECG, blood pressure, a body temperature, and blood oxygen saturation), location information, a snap shot of the patient, and voice. These requirements are presently met by using separate communication systems for voice, physiological data, and location that result in a lot of inconvenience to the technicians, maintenance related issues, in addition to being expensive. This paper presents design, development, and implementation of such a telemonitoring system for emergency patient transportation employing ARM 9 processor module. This system is found to be very useful for the emergency patient transportation being undertaken by organizations like the Emergency Management Research Institute (EMRI).

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Korsakov, A. N. "Use of digital processors in systems for multichannel monitoring of physiological parameters." Biomedical Engineering 31, no. 6 (November 1997): 328–30. http://dx.doi.org/10.1007/bf02369031.

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Dinh, Toan, Thanh Nguyen, Hoang-Phuong Phan, Nam-Trung Nguyen, Dzung Viet Dao, and John Bell. "Stretchable respiration sensors: Advanced designs and multifunctional platforms for wearable physiological monitoring." Biosensors and Bioelectronics 166 (October 2020): 112460. http://dx.doi.org/10.1016/j.bios.2020.112460.

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Abdulbaki Alshirbaji, Tamer, Nour Aldeen Jalal, and Knut Möller. "Data Recording Framework for Physiological and Surgical Data in Operating Theatres." Current Directions in Biomedical Engineering 6, no. 3 (September 1, 2020): 364–67. http://dx.doi.org/10.1515/cdbme-2020-3094.

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AbstractIntegrated operating rooms typically connect medical devices providing the clinical user a complete control over environment, device setting and digital management of intervention-related data. Consequently, the opportunity to analyse and present data from different perspectives and with different objectives has arisen. The available integrated ORs are so far designed as closed systems, thus connecting coexisting systems from different manufactures e.g. anaesthesia machines and surgical devices is demanding. The purpose of this project is to facilitate data collection from anaesthesiology, patient monitoring and surgical devices. The study is performed on laparoscopic procedures, and the data are going to be recorded at the Schwarzwald-Baar Klinikum (SBK) in Villingen-Schwenningen (Germany). Therefore, this part of the project focuses on the overall architecture for collecting data in the operating theatre at the SBK. In this work, (i) the system architecture (i.e. hardware components), (ii) software architecture and (iii) required protocols for synchronous recording of data in the OR are described. The proposed framework demonstrates that signal recording is possible with variety of devices at different sampling rates during surgical procedure.

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Huang, Haoying, Ruijuan Qiu, Hongchao Yang, Feng Ren, Feng Wu, Yejun Zhang, Hong Zhang, and Chunyan Li. "Advanced NIR ratiometric probes for intravital biomedical imaging." Biomedical Materials 17, no. 1 (December 24, 2021): 014107. http://dx.doi.org/10.1088/1748-605x/ac4147.

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Abstract Near-infrared (NIR) fluorescence imaging technology (NIR-I region, 650–950 nm and NIR-II region, 1000–1700 nm), with deeper tissue penetration and less disturbance from auto-fluorescence than that in visible region (400–650 nm), is playing a more and more extensive role in the field of biomedical imaging. With the development of precise medicine, intelligent NIR fluorescent probes have been meticulously designed to provide more sensitive, specific and accurate feedback on detection. Especially, recently developed ratiometric fluorescent probes have been devoted to quantify physiological and pathological parameters with a combination of responsive fluorescence changes and self-calibration. Herein, we systemically introduced the construction strategies of NIR ratiometric fluorescent probes and their applications in biological imaging in vivo, such as molecular detection, pH and temperature measurement, drug delivery monitoring and treatment evaluation. We further summarized possible optimization on the design of ratiometric probes for quantitative analysis with NIR fluorescence, and prospected the broader optical applications of ratiometric probes in life science and clinical translation.

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Journal articles on the topic 'Biomedical and Physiological Monitoring'

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