Journal articles: 'Wearable health monitoring system'

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Singh, Harkanwal, and Choudhary Mayur Lalchand. "Self Powered Wearable Health Monitoring System." Advanced Materials Research 403-408 (November 2011): 3839–46. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3839.

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For consistent remote health monitoring to be realized, power source must be independent of time factor. We require small, inexpensive, ubiquitous sensors to be realized, all constituents of the device, including the power source, must be directly integrable. For long term application the device must be capable of scavenging power from its surrounding environment. An apparent solution lies in conversion of mechanical energy produced by body movements to electrical energy. Here, we propose a health monitoring system utilizing energy scavenging from body movements for signal transmission through wireless antenna.

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Evangeline, C. Suganthi, and Ashmiya Lenin. "Human health monitoring using wearable sensor." Sensor Review 39, no. 3 (May 20, 2019): 364–76. http://dx.doi.org/10.1108/sr-05-2018-0111.

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Purpose The purpose of this paper is to design a human health monitoring system (HHMS) which helps in improving diagnostics at an earlier stage and monitoring after recoup. Design/methodology/approach The methodology involves a combination of three subsystems which monitors the human parameters such as temperature, heart rate, SpO2, fall and location of the person. Various sensors are used to extract the human parameters, and the data are analysed in a computer subsystem, through Global System for Mobile Communications (GSM) and Internet of Things (IoT) subsystem; the parameters measured are communicated to the caregiver and doctor. Findings Results have successfully demonstrated monitoring human temperature human temperature, heart rate, SpO2 and fall and location continuously using the HHMS prototype. Reliability of the technique used for monitoring these parameters is assessed by Proteus Professional 8 and LabVIEW simulators. Practical implications The HHMS enables long-term monitoring without any sort of interference from regular activities and allows daily health monitoring, elderly monitoring and so on. Originality/value First, the proposed HHMS simultaneously monitors five human parameters. Second, unlike most monitoring systems which uses older communication module, the proposed system is made smart using IoT. The proposed method has been made into a prototype system as detailed in this paper. The proposed HHMS can achieve high detection accuracy. Therefore, this system can be reliably deployed into a consumer product for use as monitoring device with high accuracy.

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Kishimoto, Masamichi, Toshihiko Yoshida, Hiromi Nakamura, Masahiko Okubo, Yuta Suzuki, Sinbae Kim, Tomoaki Hayasaka, et al. "Development of a wearable system for monitoring health condition(1E2 Human Dynamics & Stability)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S84. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s84.

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Sharma, Atul, Mihaela Badea, Swapnil Tiwari, and Jean Louis Marty. "Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring." Molecules 26, no. 3 (February 1, 2021): 748. http://dx.doi.org/10.3390/molecules26030748.

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With the increasing prevalence of growing population, aging and chronic diseases continuously rising healthcare costs, the healthcare system is undergoing a vital transformation from the traditional hospital-centered system to an individual-centered system. Since the 20th century, wearable sensors are becoming widespread in healthcare and biomedical monitoring systems, empowering continuous measurement of critical biomarkers for monitoring of the diseased condition and health, medical diagnostics and evaluation in biological fluids like saliva, blood, and sweat. Over the past few decades, the developments have been focused on electrochemical and optical biosensors, along with advances with the non-invasive monitoring of biomarkers, bacteria and hormones, etc. Wearable devices have evolved gradually with a mix of multiplexed biosensing, microfluidic sampling and transport systems integrated with flexible materials and body attachments for improved wearability and simplicity. These wearables hold promise and are capable of a higher understanding of the correlations between analyte concentrations within the blood or non-invasive biofluids and feedback to the patient, which is significantly important in timely diagnosis, treatment, and control of medical conditions. However, cohort validation studies and performance evaluation of wearable biosensors are needed to underpin their clinical acceptance. In the present review, we discuss the importance, features, types of wearables, challenges and applications of wearable devices for biological fluids for the prevention of diseased conditions and real-time monitoring of human health. Herein, we summarize the various wearable devices that are developed for healthcare monitoring and their future potential has been discussed in detail.

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García Michel, Eduardo, Pedro C. Santana-Mancilla, Silvia B. Fajardo-Flores, Laura S. Gaytan-Lugo, Víctor H. Pérez Andrade, Geraldyluz Amezcua Cobián, Oscar Virgen Casillas, and Sergio A. Zaizar Fregoso. "An IoMT system for health monitoring in athletes." Avances en Interacción Humano-Computadora, no. 1 (November 30, 2020): 62. http://dx.doi.org/10.47756/aihc.y5i1.68.

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Continuous health monitoring in real-time has become essential to improve people's quality of life through medical prescription or personal control. Our goal is to develop a wearable IoMT device with real-time monitoring of heart rate and breathing patterns while an athlete performs physical exercise at high-intensity intervals. The wearable IoMT device incorporates vital signs sensors to record and display information in a mobile application, allowing users to track their health and receive an alert if the data exceeds normal parameters.

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Rákay, Róbert, and Alena Galajdová. "CONCEPT FOR PHYSIOLOGICAL FUNCTION MONITORING WITH WEARABLE SENSORS." Technical Sciences and Technologies, no. 4(22) (2020): 190–97. http://dx.doi.org/10.25140/2411-5363-2020-4(22)-190-197.

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Urgency of the research. Modern trends in the automation focus on the implementation of new technologies in people's daily lives, regardless of whether they are healthy or not. The overall health status monitoring became easier nowadays by developing intelligent wearable devices.Target setting. Wearable devices must be non-invasive, comfortable,very light, and with unobtrusive design. The latest technological solutions in microcontroller, communication and sensing technologies provide significant advantages in terms of wireless monitoring of various parameters.Actual scientific researches and issues analysis. When preparing this article, various publicly available journals, datasheets and experimental solutions were analyzed. Conclusions of other experiments were used to create the knowledge base on this research topic as well.Uninvestigated parts of general matters defining. There are many technologies for sensing various physiological param-eters and for communication that work online and offline from various vendors. This paper is not enough to describe and analyze them.The re search objective. In this article, the design factors and concepts of wearable monitoring systems were analyzed. The results of the article form the basis for further development of an integrated complex wearable device with an identification system.The statement of basic materials.People should be monitored to predict future infections or prevent the spread of the disease. The use of compact solutions in health monitoring, such as sensors, microcontrollers with integrated communication technologies,provide a good basis for solving such problems as necessary monitoring of physiological condition.Conclusions. The proposed paper deals with the properties that need to be assumed when designing a carrier device. The proposed system can provide useful information about the user's health, and the aim of the design was to find the cheapest solution for university environment.

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Ma, Hao, Xiu Juan Fan, and Xiao Yun Yin. "The Design of Wearable Sub-Health Monitoring System." Applied Mechanics and Materials 727-728 (January 2015): 670–74. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.670.

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This paper describes a wearable technology sub-health monitoring system based on the description of the system and physiological signals by Zigbee module sub-health data collection, acquisition and transfer process, as well as PC using BP neural network for sub-health algorithm model state assessments; simulation tests to verify the rationality and practicality of the system. In short, the system has a simple and accurate calculation of benefits for sub-health can quickly assess and provide comprehensive, objective and scientific decision-making reference, extensive prospects.

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Lee, Ming-yih, and Wen-yen Lin. "Wearable cardiac health monitoring and early warning system." Impact 2018, no. 2 (March 29, 2018): 35–37. http://dx.doi.org/10.21820/23987073.2018.2.35.

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Lee, Ming-yih, and Wen-yen Lin. "Wearable cardiac health monitoring and early warning system." Impact 2017, no. 8 (October 20, 2017): 55–57. http://dx.doi.org/10.21820/23987073.2017.8.55.

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Dias, Duarte, and João Paulo Silva Cunha. "Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies." Sensors 18, no. 8 (July 25, 2018): 2414. http://dx.doi.org/10.3390/s18082414.

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Wearable Health Devices (WHDs) are increasingly helping people to better monitor their health status both at an activity/fitness level for self-health tracking and at a medical level providing more data to clinicians with a potential for earlier diagnostic and guidance of treatment. The technology revolution in the miniaturization of electronic devices is enabling to design more reliable and adaptable wearables, contributing for a world-wide change in the health monitoring approach. In this paper we review important aspects in the WHDs area, listing the state-of-the-art of wearable vital signs sensing technologies plus their system architectures and specifications. A focus on vital signs acquired by WHDs is made: first a discussion about the most important vital signs for health assessment using WHDs is presented and then for each vital sign a description is made concerning its origin and effect on heath, monitoring needs, acquisition methods and WHDs and recent scientific developments on the area (electrocardiogram, heart rate, blood pressure, respiration rate, blood oxygen saturation, blood glucose, skin perspiration, capnography, body temperature, motion evaluation, cardiac implantable devices and ambient parameters). A general WHDs system architecture is presented based on the state-of-the-art. After a global review of WHDs, we zoom in into cardiovascular WHDs, analysing commercial devices and their applicability versus quality, extending this subject to smart t-shirts for medical purposes. Furthermore we present a resumed evolution of these devices based on the prototypes developed along the years. Finally we discuss likely market trends and future challenges for the emerging WHDs area.

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Vijayalakshmi, K., S. Uma, R. Bhuvanya, and A. Suresh. "A demand for wearable devices in health care." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 1. http://dx.doi.org/10.14419/ijet.v7i1.7.9377.

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With the popularity of wearable devices, along with the development of telecommunication system there is a need for obtaining the health and fitness outcomes. So the recent advances in data analysis techniques have opened up new possibilities for using wearable technology in the digital health ecosystem. In past, it’s too difficult to use the wearable devices for healthcare system because of the size of those sensors. But now with front end amplification and wireless data transmission, the wearable devices are deployed in health monitoring systems. Although the devices are continuously monitoring the human’s body activity and collect various physiological data to increase the quality of human’s life. In this paper first we provide a research survey on available wearable or gadgets. Also we conclude with future directions in wearable research and market.

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Taffoni, Fabrizio, Diego Rivera, Angelica La Camera, Andrea Nicolò, Juan Ramón Velasco, and Carlo Massaroni. "A Wearable System for Real-Time Continuous Monitoring of Physical Activity." Journal of Healthcare Engineering 2018 (March 20, 2018): 1–16. http://dx.doi.org/10.1155/2018/1878354.

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Over the last decades, wearable systems have gained interest for monitoring of physiological variables, promoting health, and improving exercise adherence in different populations ranging from elite athletes to patients. In this paper, we present a wearable system for the continuous real-time monitoring of respiratory frequency (fR), heart rate (HR), and movement cadence during physical activity. The system has been experimentally tested in the laboratory (by simulating the breathing pattern with a mechanical ventilator) and by collecting data from one healthy volunteer. Results show the feasibility of the proposed device for real-time continuous monitoring of fR, HR, and movement cadence both in resting condition and during activity. Finally, different synchronization techniques have been investigated to enable simultaneous data collection from different wearable modules.

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Nautiyal, Anil P. "Real-Time Health Monitoring System with Hybrid Wearable Suit." International Journal of Wearable Device 6, no. 1 (November 30, 2019): 1–8. http://dx.doi.org/10.21742/ijwd.2019.6.1.01.

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McWhorter, James, Lucas Brown, and Lara Khansa. "A wearable health monitoring system for posttraumatic stress disorder." Biologically Inspired Cognitive Architectures 22 (October 2017): 44–50. http://dx.doi.org/10.1016/j.bica.2017.09.004.

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Noh, Chang-Bae. "Portable Health Monitoring Systems using Wearable Devices." Indian Journal of Science and Technology 9, no. 1 (January 20, 2016): 1–5. http://dx.doi.org/10.17485/ijst/2016/v9i36/102699.

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Ma, Hao, Hao Liu, and Zhi Qing Ma. "The Design of Communication System for Wearable Health Monitoring Equipment." Applied Mechanics and Materials 599-601 (August 2014): 1106–10. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1106.

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Viewing the health care problem facing the aging society, an intelligent wearable monitoring system is designed, which is able to collecting real-time data and analyze the data for physiological parameters for a plurality of monitoring object. The system, with CAN bus interface chip C8051F040 low power and wireless RF chip nRF24L01 as the core, collect real-time multiple physiological parameters of monitored objects through wireless mode, and send the data to the monitoring center through high reliability CAN bus mode, so as to achieve the intelligent home health care function.

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Nassar, Joanna M., Kush Mishra, Kirklann Lau, Andres A. Aguirre-Pablo, and Muhammad M. Hussain. "Recyclable Nonfunctionalized Paper-Based Ultralow-Cost Wearable Health Monitoring System." Advanced Materials Technologies 2, no. 4 (February 15, 2017): 1600228. http://dx.doi.org/10.1002/admt.201600228.

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Zhou, Xiaoxiang. "Wearable health monitoring system based on human motion state recognition." Computer Communications 150 (January 2020): 62–71. http://dx.doi.org/10.1016/j.comcom.2019.11.008.

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Haghi, Mostafa, Saeed Danyali, Sina Ayasseh, Ju Wang, Rahmat Aazami, and Thomas M. Deserno. "Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey." Sensors 21, no. 6 (March 18, 2021): 2130. http://dx.doi.org/10.3390/s21062130.

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The World Health Organization (WHO) recognizes the environmental, behavioral, physiological, and psychological domains that impact adversely human health, well-being, and quality of life (QoL) in general. The environmental domain has significant interaction with the others. With respect to proactive and personalized medicine and the Internet of medical things (IoMT), wearables are most important for continuous health monitoring. In this work, we analyze wearables in healthcare from a perspective of innovation by categorizing them according to the four domains. Furthermore, we consider the mode of wearability, costs, and prolonged monitoring. We identify features and investigate the wearable devices in the terms of sampling rate, resolution, data usage (propagation), and data transmission. We also investigate applications of wearable devices. Web of Science, Scopus, PubMed, IEEE Xplore, and ACM Library delivered wearables that we require to monitor at least one environmental parameter, e.g., a pollutant. According to the number of domains, from which the wearables record data, we identify groups: G1, environmental parameters only; G2, environmental and behavioral parameters; G3, environmental, behavioral, and physiological parameters; and G4 parameters from all domains. In total, we included 53 devices of which 35, 9, 9, and 0 belong to G1, G2, G3, and G4, respectively. Furthermore, 32, 11, 7, and 5 wearables are applied in general health and well-being monitoring, specific diagnostics, disease management, and non-medical. We further propose customized and quantified output for future wearables from both, the perspectives of users, as well as physicians. Our study shows a shift of wearable devices towards disease management and particular applications. It also indicates the significant role of wearables in proactive healthcare, having capability of creating big data and linking to external healthcare systems for real-time monitoring and care delivery at the point of perception.

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Sagahyroon, Assim, Hazem Raddy, Ali Ghazy, and Umair Suleman. "Design and implementation of a wearable healthcare monitoring system." International Journal of Electronic Healthcare 5, no. 1 (2009): 68. http://dx.doi.org/10.1504/ijeh.2009.026273.

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Corchia, Laura, Giuseppina Monti, Egidio De Benedetto, and Luciano Tarricone. "Wearable Antennas for Remote Health Care Monitoring Systems." International Journal of Antennas and Propagation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3012341.

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Remote monitoring of the elderly in telehealth applications requires that the monitoring must not affect the elderly’s regular habits. To ensure this requirement, the components (i.e., sensor and antenna) necessary to carry out such monitoring should blend in with the elderly’s daily routine. To this end, an effective strategy relies on employing wearable antennas that can be fully integrated with clothes and that can be used for remotely transmitting/receiving the sensor data. Starting from these considerations, in this work, two different methods for wearable antenna fabrication are described in detail: the first resorts to the combined use of nonwoven conductive fabrics and of a cutting plotter for shaping the fabric, whereas the second considered fabrication method resorts to the embroidery of conductive threads. To demonstrate the suitability of the considered fabrication techniques and to highlight their pros and cons, numerical and experimental results related to different wearable antennas are also reported and commented on. Results demonstrate that the presented fabrication techniques and strategies are very flexible and can be used to obtain low-cost wearable antennas with performance tailored for the specific application at hand.

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Binyamin, Sami S., and Md Rakibul Hoque. "Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology." Sustainability 12, no. 22 (November 18, 2020): 9605. http://dx.doi.org/10.3390/su12229605.

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The market for wearable health monitoring technology is promising globally and in Saudi Arabia particularly. The country has a very high prevalence of chronic diseases that can be managed using wearable health monitoring technology. However, wearable devices are not fully advantageous if people do not accept them. Due to the parsimony of studies on the acceptance of wearable health monitoring technology, understanding the key drivers of using wearable health monitoring technology remains uncertain. This cross-sectional study extends the extended unified theory of acceptance and use of technology (UTAUT2) to explain the variance in the adoption intention of wearable health monitoring technology. A total of 256 responses were analyzed using the partial least squares structural equation modeling technique, in addition to the importance-performance map analysis. The results indicate that performance expectancy (PE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HA) significantly impact users’ behavioral intention (BI) to adopt wearable health monitoring technology. The results also demonstrate that effort expectancy (EE), price value (PV), government health policy (GHP) and trust (TR) are not important. Based on the findings, this research presents a set of recommendations for decisions makers, managers and system developers in the healthcare sector to enhance the use and quality of wearable technology.

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Durresi, Arjan, Mimoza Durresi, Arben Merkoci, and Leonard Barolli. "Networked Biomedical System for Ubiquitous Health Monitoring." Mobile Information Systems 4, no. 3 (2008): 211–18. http://dx.doi.org/10.1155/2008/173540.

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We propose a distributed system that enables global and ubiquitous health monitoring of patients. The biomedical data will be collected by wearable health diagnostic devices, which will include various types of sensors and will be transmitted towards the corresponding Health Monitoring Centers. The permanent medical data of patients will be kept in the corresponding Home Data Bases, while the measured biomedical data will be sent to the Visitor Health Monitor Center and Visitor Data Base that serves the area of present location of the patient. By combining the measured biomedical data and the permanent medical data, Health Medical Centers will be able to coordinate the needed actions and help the local medical teams to make quickly the best decisions that could be crucial for the patient health, and that can reduce the cost of health service.

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Xuan, Yun Dong, Zhan Zhao, Zhen Fang, Dao Qu Geng, and Yao Hong Shi. "3ACare: A Wireless Body Sensor Network for Health Alert and Monitoring." Advanced Materials Research 217-218 (March 2011): 1075–80. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1075.

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The development of Micro-ElectroMechanical Systems ,integrated circuits, wireless communications have resulted in the creation of miniature, ultra-low power, and wearable health monitoring system. The system can be defined as a Body Sensor Network that can be embedded in the user’s outfit as a part of the clothing .This 3ACare system is a wearable health monitoring and alert system which can give anyone health care at anytime and anywhere. The system continuously collects multiple vital signs by physiological sensors and evaluates the signs in a personal server such as a PDA. And the personal server transfers the data to a medical server center by 3G net or Internet. The doctor in the medical server center will give the patients message after they diagnosed the data.The paper describes the architecture of 3ACare and the details of the wireless body sensor network (WBSN) nodes and the test result.

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Hong, Yan, Xuechun Cao, Yan Chen, Zhijuan Pan, Yu Chen, and Xianyi Zeng. "A conceptual wearable monitoring system for physiological indices and clothing microclimate measurement." International Journal of Clothing Science and Technology 31, no. 3 (June 3, 2019): 318–25. http://dx.doi.org/10.1108/ijcst-10-2016-0116.

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Purpose The purpose of this paper is to investigate physiological indices related to comfort and health condition, based on which corresponding electronic equipment are selected and applied. A wearable monitoring system using sensor and liquid crystal display (LCD) techniques are then designed. Sensors are used to collect and transmit recording required signals from the wearer. A microcomputer with the type of AT89C52 is used to record and analyze the collected data. LCD is applied to display the health and comfort condition of the wearer. Design/methodology/approach A novel wearable monitoring system for the measurement of physiological indices and clothing microclimate is proposed in this study in order to monitoring both health and comfort condition of the wearer. Findings The proposed system provides reference for the application of sensor and display technologies in the field of smart clothing, which can be further applied to infant and child care, health care, home entertainment, military and industry. Originality/value This paper, first, investigated a framework of a wearable monitoring system considering both comfort and health condition and summarized the related physiological indices. The requirements of both comfort and health condition monitoring are analyzed to select appropriate electronic elements.

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Tuyen, Nguyen Trong, Tran Trong Huu, Nguyen Mau Thach, and Zafar M. Yuldashev. "SYSTEM AND ALGORITHM OF INTELLIGENT BIOMEDICAL SIGNAL PROCESSING AND ANALYSIS FOR HUMAN HEALTH STATUS REMOTE MONITORING SYSTEM." Journal of the Russian Universities. Radioelectronics, no. 5 (December 6, 2018): 71–80. http://dx.doi.org/10.32603/1993-8985-2018-21-5-71-80.

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Continuous and steady running of health status remote monitoring systems is essential not to omit episodes of acute exacerbation of chronic disease. Running time of such systems is largely determined by performance capabilities of the patient's wearable system elements. To ensure its long-term operation and efficient performance, the monitoring system must have multilayered structure with the elements realizing recording and picking off biomedical signals, signal processing and analysis, estimation of patient current condition, dynamics of the disease and its prognosis. For this purpose, it is necessary to use smart monitoring algorithms. A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. The system and intelligent monitoring algorithm is tested with the use of heart rate remote control and atrial fibrillation episode detection system. The testing results of the developed system and algorithm are discussed.

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Zhang, Qing, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, and Yakang Dai. "A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring." International Journal of Distributed Sensor Networks 14, no. 5 (May 2018): 155014771877956. http://dx.doi.org/10.1177/1550147718779562.

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Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for wearing, inconvenient for retrieving the recordings by patients themselves, unable to timely provide accurate classification, and early warning information. Therefore, we proposed a wireless wearable electroencephalography system for encephalopathy daily monitoring, named as Brain-Health, which focused on the following three points: (a) the monitoring device integrated with electroencephalography acquisition sensors, signal processing chip, and Bluetooth, attached to a sport hat or elastic headband; (b) the mobile terminal with dedicated application, which is not only for continuous recording and displaying electroencephalography signal but also for early warning in real time; and (c) the encephalopathy’s classification algorithm based on intelligent Support Vector Machine, which is used in a new application of wearable electroencephalography for encephalopathy daily monitoring. The results showed a high mean accuracy of 91.79% and 93.89% in two types of classification for encephalopathy. In conclusion, good performance of our Brain-Health system indicated the feasibility and effectiveness for encephalopathy daily monitoring and patients’ health self-management.

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Mukherjee, Ramtanu, Swapan Kumar Ghorai, Bharat Gupta, and Tapas Chakravarty. "Development of a Wearable Remote Cardiac Health Monitoring with Alerting System." Instruments and Experimental Techniques 63, no. 2 (April 2020): 273–83. http://dx.doi.org/10.1134/s002044122002013x.

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Lin, Binghui, Zhouchen Ma, Mohamed Atef, Liang Ying, and Guoxing Wang. "Low-Power High-Sensitivity Photoplethysmography Sensor for Wearable Health Monitoring System." IEEE Sensors Journal 21, no. 14 (July 15, 2021): 16141–51. http://dx.doi.org/10.1109/jsen.2021.3062189.

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Wu, Fan, Taiyang Wu, and Mehmet Yuce. "An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications." Sensors 19, no. 1 (December 21, 2018): 21. http://dx.doi.org/10.3390/s19010021.

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This paper presents a hybrid wearable sensor network system towards the Internet of Things (IoT) connected safety and health monitoring applications. The system is aimed at improving safety in the outdoor workplace. The proposed system consists of a wearable body area network (WBAN) to collect user data and a low-power wide-area network (LPWAN) to connect the WBAN with the Internet. The wearable sensors in the WBAN are exerted to measure the environmental conditions around the subject using a Safe Node and monitor the vital signs of the subject using a Health Node. A standalone local server (gateway), which can process the raw sensor signals, display the environmental and physiological data, and trigger an alert if any emergency circumstance is detected, is designed within the proposed network. To connect the gateway with the Internet, an IoT cloud server is implemented to provide more functionalities, such as web monitoring and mobile applications.

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Li, Hongru, Guiling Sun, Yue Li, and Runzhuo Yang. "Wearable Wireless Physiological Monitoring System Based on Multi-Sensor." Electronics 10, no. 9 (April 21, 2021): 986. http://dx.doi.org/10.3390/electronics10090986.

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The purpose of wearable technology is to use multimedia, sensors, and wireless communication to integrate specific technology into user clothes or accessories. With the help of various sensors, the physiological monitoring system can collect, process, and transmit physiological signals without causing damage. Wearable technology has been widely used in patient monitoring and people’s health management because of its low-load, mobile, and easy-to-use characteristics, and it supports long-term continuous work and can carry out wireless transmissions. In this paper, we established a Wi-Fi-based physiological monitoring system that can accurately measure heart rate, body surface temperature, and motion data and can quickly detect and alert the user about abnormal heart rates.

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Li, Ruonan, Xuelian Wei, Jiahui Xu, Junhuan Chen, Bin Li, Zhiyi Wu, and Zhong Wang. "Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring." Micromachines 12, no. 4 (March 25, 2021): 352. http://dx.doi.org/10.3390/mi12040352.

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Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

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Kulkarni, A. S., M. Suchetha, and N. Kumaravel. "IoT based Low Power Wearable ECG Monitoring System." Current Signal Transduction Therapy 14, no. 1 (March 11, 2019): 68–74. http://dx.doi.org/10.2174/1574362413666180622105447.

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Background: An electrocardiogram device monitors the cardiac status of a patient by recording the heart’s electrical potential vs time. Such devices play a very important role to save the life of patients who survive a heart attack or suffer from these patients. An early detection of conditions that lead to the onset of cardiac arrest allows doctors to provide proper treatment on time and prevents death or disability from cardiac arrest. Most developing countries have very poor information about these health care issues. Methods: An actual deployment of the system was used to evaluate key aspects of the system architecture, in particular, the possibility to monitor the ECG signal of single patients in a large area and for a long time the possibility to access ECG data through the web interface. The test deployment consisted of ECG sensor AD8232, wi-fi module and IoT server. The IoT server was installed on a Linux/ windows machine. The wifi has been configured to connect to the server, through an ADSL router. Conclusion: We have proposed a wireless wearable ECG monitoring system enabled with an IoT platform that integrates heterogeneous nodes of ECG sensor and applications, has a long battery life and provides a high-quality ECG signal. The system allows monitoring single/multiple patients on a relatively large indoor area (home, building, nursing home, etc). As observed, this result is obtained through a careful set of choices at the level of components, circuit solutions, and algorithms. We would like to stress the fact that a dedicated overall output is not enough to achieve an advantage in terms of overall sensor performance. The latter depends on the optimization of the whole sensor. Indeed, this proposed ECG sensor, based on a high-performance ADC and an arm processor, provides much better performance, in terms of power consumption and noise, than many proposed system based on a purposely designed front-end chip.

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Wu, Han Xiao, Lian Ying Ji, and Jian Kang Wu. "Context-Aware Monitoring of Cardiac Health." Applied Mechanics and Materials 239-240 (December 2012): 785–93. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.785.

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As the technology of sensor network advances, wearable health monitoring becomes feasible. Here we present a context-aware monitoring system for cardiac health, which consists of three modules: signal acquisition for physiological signal as well as context information; processing, analysis and interpretation of signal modality as well as fusion of context to generate cardiac health indices; interface for human-machine interaction. Both captured original data and analysis results are stored in an SD card for further processing in the server. The system works continuously for 24 hours. The proposed cardiac health indices can be applied for health status monitoring and early prediction of cardiovascular disease.

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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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Amudha, S., and M. Murali. "Implementation of Energy Efficient Fog based Health Monitoring and Emergency Admission Prediction System Using IoT." Webology 18, Special Issue 02 (April 29, 2021): 171–89. http://dx.doi.org/10.14704/web/v18si02/web18065.

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With rapid development in Information Communication Technology (ICT), Wearable Sensor Networks with Internet of Things (WSN-IoT) has produced several improvements in the smart world environment. One of the main research challenges in Wearable Sensor is energy, since all the sensor nodes operation depends on battery power consumption. Hence a new middleware has to be introduced between Wearable Sensor nodes and Cloud to reduce latency and Power Consumption problems. Overcrowding in hospital premise, detecting priority of hospital admission for patients, managing and monitoring health status of the patient constantly are daily problems in any health care system. Even though IoT based wearable sensors monitor health status of patients regularly and provide intent treatment in critical stage, but there is some block hole in that such as latency, energy issues and unawareness of medical execution plans and policies to preserve them from sudden attacks such as Heart attack. The proposed work is to implement energy efficient FoG based IoT network to monitor patients’ health conditions from chronic diseases and highlights utility of Deep Learning model for analyzing the health condition of patients and predicting Emergency readmission cases well in advance. This model is also compare with existing machine learning algorithms such as Gradient boosted, Decision tree, Random forest and Logistic regression to achieve more accuracy. This paper introduces preemptive interval scheduling algorithm with predictive analysis for constant monitoring of status for critical patients. By means of comparative analysis done in this work energy efficiency has been achieved prominently.

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Kakria, Priyanka, N. K. Tripathi, and Peerapong Kitipawang. "A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors." International Journal of Telemedicine and Applications 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/373474.

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Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heart monitoring system is developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio. The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.

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Wang, Lian, and Geng Guo Cheng. "Design and Application of Medical Monitoring System Based on Android." Applied Mechanics and Materials 687-691 (November 2014): 990–93. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.990.

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With the development of information and communication technology and the advent of new technologies including wireless communication, smart handheld mobile terminals and wearable medical sensor detection technology, mobile medical care is facing its development opportunity. In this context, our medical monitoring system combines wireless communication technology with wearable medical sensor and designs a remote medical monitoring of multiple physiological parameters. With the support of Android devices, this system offers medical reports retrieval, online diagnosis and health guidelines. It provides users with multi-functional, instant, real-time monitoring and interactive medical services in a high efficient low cost way, which enables remote interrogation and medical care become possible.

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Maglogiannis, Ilias, and Charalampos Doukas. "Intelligent Health Monitoring Based on Pervasive Technologies and Cloud Computing." International Journal on Artificial Intelligence Tools 23, no. 03 (May 28, 2014): 1460001. http://dx.doi.org/10.1142/s021821301460001x.

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The proper management of patient data and their accessibility are still remaining issues that prevent the full deployment and usage of pervasive healthcare applications. This paper presents an integrated health monitoring system based on mobile pervasive technologies. The system utilizes Cloud Computing for providing robust and scalable resources for sensor data acquisition, management and communication with external applications like health information systems. A prototype has been developed using both mobile and wearable sensors for demonstrating the usability of the proposed platform. Initial results regarding the performance of the system, the efficiency in data management and user acceptability have been quite promising.

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Lin, Wen-Yen, Hong-Lin Ke, Wen-Cheng Chou, Po-Cheng Chang, Tsai-Hsuan Tsai, and Ming-Yih Lee. "Realization and Technology Acceptance Test of a Wearable Cardiac Health Monitoring and Early Warning System with Multi-Channel MCGs and ECG." Sensors 18, no. 10 (October 19, 2018): 3538. http://dx.doi.org/10.3390/s18103538.

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In this work, a wearable smart clothing system for cardiac health monitoring with a multi-channel mechanocardiogram (MCG) has been developed to predict the myo-cardiac left ventricular ejection fraction (LVEF) function and to provide early risk warnings to the subjects. In this paper, the realization of the core of this system, i.e., the Cardiac Health Assessment and Monitoring Platform (CHAMP), with respect to its hardware, firmware, and wireless design features, is presented. The feature values from the CHAMP system have been correlated with myo-cardiac functions obtained from actual heart failure (HF) patients. The usability of this MCG-based cardiac health monitoring smart clothing system has also been evaluated with technology acceptance model (TAM) analysis and the results indicate that the subject shows a positive attitude toward using this wearable MCG-based cardiac health monitoring and early warning system.

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Memon, Saba Feroz, Mohsin Memon, and Sania Bhatti. "Wearable technology for infant health monitoring: a survey." IET Circuits, Devices & Systems 14, no. 2 (January 29, 2020): 115–29. http://dx.doi.org/10.1049/iet-cds.2018.5447.

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Et. al., S. DILIP KUMAR,. "DATA ANALYTICS APPROACH FOR HEALTH MONITORING USING WEARABLE SENSOR." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (April 13, 2021): 1062–68. http://dx.doi.org/10.17762/itii.v9i2.453.

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In this age of technological advancement, individuals are becoming less involved incompletion their physical work. Tele medicine plays an important role in the new trend, promoting the transition of health care services from clinic-centered to patient-centered with the aid of omnipresent social connectivity. One of the applications facilitated by data analysis is the continuous health management frame work. Wearable sensor devices used in Data Analytics have continuously produced an enormous amount of data for the health monitoring system. The speed of data generation for data analytics equipment is very high, so the amount of data generated from it is also high. In order to track critical parameters such as blood pressure, body temperature, pulse rate, the sensor is integrated with humans. The approach of data analytics compares the health parameter of the person and, if necessary, makes a decision. This approach provides the healthcare provider with a quick but powerful and reliable communication tool to have the solution in hand before the situation gets worse. Proteus professional software has been used to execute the concept.

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Arquilla, Katya, Sarah Leary, Andrea K. Webb, and Allie P. Anderson. "Wearable 3-Lead Electrocardiogram Placement Model for Fleet Sizing of Medical Devices." Aerospace Medicine and Human Performance 91, no. 11 (November 1, 2020): 868–75. http://dx.doi.org/10.3357/amhp.5633.2020.

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BACKGROUND: Electrocardiography (ECG) provides valuable information on astronaut physiological and psychological health. ECG monitoring has been conducted during crewed missions since the beginning of human spaceflight and will continue during astronauts upcoming long-duration exploration missions (LDEMs) in support of automated health monitoring systems. ECG monitoring is traditionally performed in clinical environments with single-use, adhesive electrodes in a 3, 6, or 12-lead configuration placed by a trained clinician. In the space exploration environment, astronauts self-place electrodes without professional assistance. Wearable ECG systems are an attractive option for automated health monitoring, but electrode placement has not been quantified to a high enough degree to avoid artifacts within the data due to position changes. This variability presents challenges for physician-limited, autonomous health monitoring, so quantifying electrode placement is key in the development of reliable, wearable ECG monitoring systems.METHODS: We present a method of quantifying electrode placement for 3-lead, chest-mounted ECG using easy-to-measure, two-dimensional chest measurements.RESULTS: We find that male and female dimensions require different electrode positioning computations, but there is overlap in positioning between men and women. The distribution of electrodes vertical positions is wider than their horizontal positions.DISCUSSION: These results can be translated directly to ECG wearable design for the individual and for the size range and adjustability required for the astronaut fleet. Implementation of this method will improve the reliability in placement and fit of future wearables, increasing comfort and usability of these systems and subsequently augmenting autonomous health monitoring capabilities for exploration medicine.Arquilla K, Leary S, Webb AK, Anderson AP. Wearable 3-lead electrocardiogram placement model for fleet sizing of medical devices. Aerosp Med Hum Perform. 2020; 91(11):868875.

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Mo, Jiaqing, Wei Shen, and Weisheng Pan. "An Improved Anonymous Authentication Protocol for Wearable Health Monitoring Systems." Wireless Communications and Mobile Computing 2020 (April 23, 2020): 1–13. http://dx.doi.org/10.1155/2020/5686498.

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Wearable health monitoring system (WHMS), which helps medical professionals to collect patients’ healthcare data and provides diagnosis via mobile devices, has become increasingly popular thanks to the significant advances in the wireless sensor network. Because health data are privacy-related, they should be protected from illegal access when transmitted over a public wireless channel. Recently, Jiang et al. presented a two-factor authentication protocol on quadratic residues with fuzzy verifier for WHMS. However, we observe that their scheme is vulnerable to known session special temporary information (KSSTI) attack, privileged insider attack, and denial-of-service (DoS) attack. To defeat these weaknesses, we propose an improved two-factor authentication and key agreement scheme for WHMS. Through rigorous formal proofs under the random oracle model and comprehensive informal security analysis, we demonstrate that the improved scheme overcomes the disadvantages of Jiang et al.’s protocol and withstands possible known attacks. In addition, comparisons with several relevant protocols show that the proposed scheme achieves more security features and has suitable efficiency. Thus, our scheme is a reasonable authentication solution for WHMS.

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Pasche, Stéphanie, Silvia Angeloni, Réal Ischer, Martha Liley, Jean Luprano, and Guy Voirin. "Wearable Biosensors for Monitoring Wound Healing." Advances in Science and Technology 57 (September 2008): 80–87. http://dx.doi.org/10.4028/www.scientific.net/ast.57.80.

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Continuous health monitoring often requires hospitalization, which can become an expensive and inconvenient choice for the patient. In this perspective, wearable sensors that allow in situ biosensing constitute a very promising technology. This work aims to develop immunosensors for continuous monitoring of the wound healing process, based on pH changes, as well as on the concentrations of inflammatory proteins such as the C-reactive protein (CRP). Sensing principles include the use of responsive hydrogels that swell in response to changes in the surroundings, and the use of functional surfaces that specifically recognize the target protein. The detection principle is based on an optical signal, using the evanescent field of light propagating along a waveguide, probing refractive index changes. An optical sensing system that can be integrated in a wound dressing patch has been designed, including a white light source (LED), and a spectrometer for detection. The sensor was successfully tested in the laboratory with biological samples (blood serum), demonstrating reversible pH measurements between pH 6-8, and detection of changes in the concentration of CRP between 1 and 100 μg/ml. The sensor will later be integrated into wound dressings or bandages, forming a sensing patch that is connected via optical fibres and electrical wires to the detection system and power supply. This novel technology will be particularly valuable in applications such as the supervision of skin grafts and ulcer treatments.

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Vanitha, M., S. Ramesh, and S. Chitra. "WEARABLE ANTENNAS FOR REMOTE HEALTH CARE MONITORING SYSTEM USING 5G WIRELESS TECHNOLOGIES." Telecommunications and Radio Engineering 78, no. 14 (2019): 1275–85. http://dx.doi.org/10.1615/telecomradeng.v78.i14.50.

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Hua, Jing, Hua Zhang, Jizhong Liu, Yilu Xu, and Fumin Guo. "Direct Arrhythmia Classification from Compressive ECG Signals in Wearable Health Monitoring System." Journal of Circuits, Systems and Computers 27, no. 06 (February 22, 2018): 1850088. http://dx.doi.org/10.1142/s0218126618500883.

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Due to the capacity of processing signal with low energy consumption, compressive sensing (CS) has been widely used in wearable health monitoring system for arrhythmia classification of electrocardiogram (ECG) signals. However, most existing works focus on compressive sensing reconstruction, in other words, the ECG signals must be reconstructed before use. Hence, these methods have high computational complexity. In this paper, the authors propose a cardiac arrhythmia classification scheme that performs classification task directly in the compressed domain, skipping the reconstruction stage. The proposed scheme first employs the Pan–Tompkins algorithm to preprocess the ECG signals, including denoising and QRS detection, and then compresses the ECG signals by CS to obtain the compressive measurements. The features are extracted directly from these measurements based on principal component analysis (PCA), and are used to classify the ECG signals into different types by the proposed semi-supervised learning algorithm based on support vector machine (SVM). Extensive simulations have been performed to validate the effectiveness of the proposed scheme. Experimental results have shown that the proposed scheme achieves an average accuracy of [Formula: see text] at a sensing rate of 0.7, compared to an accuracy of [Formula: see text] for noncompressive ECG data.

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Manas, Munish, Aniruddha Sinha, Shubham Sharma, and Md Rahat Mahboob. "A novel approach for IoT based wearable health monitoring and messaging system." Journal of Ambient Intelligence and Humanized Computing 10, no. 7 (November 2, 2018): 2817–28. http://dx.doi.org/10.1007/s12652-018-1101-z.

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Abu Zaid, Osama, adham mohamed, Kamel El-Sehly, Mahmoud Ossman, Mostafa Kamal, and Marwan Aly. "Heart Disease Detection using ML and ES (Smart Wearable Health Monitoring System)." Kafrelsheikh Journal of Information Sciences 2, no. 1 (August 1, 2021): 1–7. http://dx.doi.org/10.21608/kjis.2021.42695.1009.

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Qureshi, Fayez, and Sridhar Krishnan. "Wearable Hardware Design for the Internet of Medical Things (IoMT)." Sensors 18, no. 11 (November 7, 2018): 3812. http://dx.doi.org/10.3390/s18113812.

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As the life expectancy of individuals increases with recent advancements in medicine and quality of living, it is important to monitor the health of patients and healthy individuals on a daily basis. This is not possible with the current health care system in North America, and thus there is a need for wireless devices that can be used from home. These devices are called biomedical wearables, and they have become popular in the last decade. There are several reasons for that, but the main ones are: expensive health care, longer wait times, and an increase in public awareness about improving quality of life. With this, it is vital for anyone working on wearables to have an overall understanding of how they function, how they were designed, their significance, and what factors were considered when the hardware was designed. Therefore, this study attempts to investigate the hardware components that are required to design wearable devices that are used in the emerging context of the Internet of Medical Things (IoMT). This means that they can be used, to an extent, for disease monitoring through biosignal capture. In particular, this review study covers the basic components that are required for the front-end of any biomedical wearable, and the limitations that these wearable devices have. Furthermore, there is a discussion of the opportunities that they create, and the direction that the wearable industry is heading in.

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Journal articles on the topic 'Wearable health monitoring system'

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