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Relevant bibliographies by topics / Wearable health monitoring system

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Academic literature on the topic 'Wearable health monitoring system'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "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 (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, 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 (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, et al. "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 (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 (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 (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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Dissertations / Theses on the topic "Wearable health monitoring system"

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Pantelopoulos, Alexandros A. "¿¿¿¿¿¿¿¿¿¿¿¿PROGNOSIS: A WEARABLE SYSTEM FOR HEALTH MONITORING OF PEOPLE AT RISK." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1284754643.

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Hellström, Per Anders Rickard. "Wireless Wearable Measurement System Based on Pedobarography for Monitoring of Health." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32101.

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Health care costs have increased over the last decades due to an ageing population. Therefore, research in personal health monitoring (PHM) has increased in response to this. PHM has advantages such as mobility (monitoring of health at work or at home), early detection of health problems enabling preventive health measures and a reduction of health care cost. Human motion analysis, using for example inertial measurement units and pedobarography, is an important subcategory of PHM. Pedobarography (PBG) is the study of pressure fields acting between the plantar surface of the foot and a supporting surface. Gait and posture analysis, prosthetics evaluation and monitoring of recovery from injury or disease are examples of PBG applications. Portable PBG can be performed using force sensing resistors built into the insole inside the shoe. In accordance with this, the research goal for this licentiate thesis is to design, build and evaluate a wireless wearable measurement system based on pedobarography for monitoring of health. In order to fulfil the objectives of the research, literature studies were done and problems with existing in-shoe system solutions were identified. Thus, it was found that further opportunities existed for new designs of PBG systems which take these problems into account. Cross-sectional test case studies were used for validation. The research area is multidisciplinary and encompasses biomedical measurements, electronics and computer science. The main research contributions include design and implementation of a PBG measurement system consisting of commercial off the shelf components, a novel method for selecting measurement samples for weight estimation of carried load during walk, and a novel method for analysing walking intensity using force-time integrals at the toe-off phase of the step. The research results suggest that the new PBG system, in combination with the two novel analysing methods, are suitable for use in wearable systems for monitoring of health. Personal health measurements are done to help decision making related to health. Thus, the future work will strive towards designing different decision support systems.<br>Kostnaderna för vår hälsovård har ökat de senaste årtiondena på grund av att vi lever allt längre. Till följd av detta har forskning inom personlig hälsomonitorering (PHM) ökat. PHM medför fördelar såsom rörlighet (hälsoövervakning på jobbet och i hemmet), tidig upptäckt av hälsoproblem medför möjlighet till åtgärd i ett tidigt skede samt en minskning av kostnaderna för hälsovård. Analys av människors rörelser, med hjälp av till exempel tröghetsmätare och pedobarografi, är en viktig underkategori inom PHM. Pedobarografi (PBG) är studien av tryckfält som uppstår på grund av krafter som verkar mellan fotens undersida och en uppbärande yta. Analys av gångstil och kroppshållning, utvärdering av proteser samt monitorering av återhämtning från skada eller sjukdom är exempel på tillämpningar av PBG. Portabel PBG kan exempelvis utföras med hjälp av resistiva kraftsensorer implementerade i skors inläggssulor. I överrensstämmelse med detta är målet för forskningen i den här licentiatavhandlingen att designa, bygga och utvärdera ett trådlöst bärbart mätsystem baserat på pedobarografi för övervakning av hälsa. För att uppfylla forskningsmålet utfördes litteraturstudier och problem med existerande skobaserade system identifierades. Tvärsnittsstudier användes vid valideringen. Forskningsområdet är tvärvetenskapligt och omfattar biomedicinska mätningar, elektronik och datavetenskap. De främsta vetenskapliga bidragen inkluderar design och implementering av ett pedobarografiskt mätsystem bestående av öppet tillgängliga komponenter, en ny metod för att välja ut uppmätta värden för uppskattning av vikt av buren last under gång, samt en ny analysmetod för gångintensitet med hjälp av kraft-tidsintegraler i stegets avstampsfas. Forskningsresultaten implicerar att det nya pedobarografisystemet, i kombination med de två nya analysmetoderna, är lämpliga att användas i bärbara system för övervakning av hälsa. Mätningar vid personlig hälsomonitorering utförs för att hjälpa till vid beslutsfattande som rör hälsa. Följaktligen strävar framtida forskning mot design av olika beslutsstödsystem.

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Abbasi, Saddedine. "Critical evaluation and novel design of a non-invasive and wearable health monitoring system." Thesis, Brunel University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553648.

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This study is about developing a non-invasive wearable health-monitoring system. The project aims to achieve miniaturisation as much as possible, using nanotechnology. The achieved results of the project are nothing but conceptual images of a convertible watch. The system is a non-invasive health measurement system. An important part of the study is researching the automation of blood pressure measurement by means of experiments which test the effect of exterior factors on blood pressure level. These experiments have been held to improve the automation and simplicity of BP measurements to establish a 24hr BP monitoring system. This study proposed a medical sensor that is part of the watch system, and that is most compatible with the elderly people product preferences in the UK. The “sensor strip” is in cm range, integrating a number of MEMS sensors, for the non-invasive detection of certain health aspects. The health aspects are chosen according to how close they are from the “health vital signs”, which are the first measurements executed by the doctor, if a patient is to visit him. An applied QFD study showed that the most suitable measurement technology to be used in the proposed sensor strip is the infrared technology. In addition to the sensor strip, EEG health detection is added, which is the reason why the watch is convertible. MEMS sensors, MEMS memory and an embedded processor are selected, since that this project also includes minimising the size of a device where the utilization of nanotechnology is vital. The final result of the study is only a conceptual design of a product with a carefully selected subsystems. The software design of the product will not be further developed to become a physical prototype of a consumer product.

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Sung, Michael 1975. "Non-invasive wearable sensing systems for continuous health monitoring and long-term behavior modeling." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36181.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006.<br>Includes bibliographical references (p. 212-228).<br>Deploying new healthcare technologies for proactive health and elder care will become a major priority over the next decade, as medical care systems worldwide become strained by the aging populations. This thesis presents LiveNet, a distributed mobile system based on low-cost commodity hardware that can be deployed for a variety of healthcare applications. LiveNet embodies a flexible infrastructure platform intended for long-term ambulatory health monitoring with real-time data streaming and context classification capabilities. Using LiveNet, we are able to continuously monitor a wide range of physiological signals together with the user's activity and context, to develop a personalized, data-rich health profile of a user over time. Most clinical sensing technologies that exist have focused on accuracy and reliability, at the expense of cost-effectiveness, burden on the patient, and portability. Future proactive health technologies, on the other hand, must be affordable, unobtrusive, and non-invasive if the general population is going to adopt them.<br>(cont.) In this thesis, we focus on the potential of using features derived from minimally invasive physiological and contextual sensors such as motion, speech, heart rate, skin conductance, and temperature/heat flux that can be used in combination with mobile technology to create powerful context-aware systems that are transparent to the user. In many cases, these non-invasive sensing technologies can completely replace more invasive diagnostic sensing for applications in long-term monitoring, behavior and physiology trending, and real-time proactive feedback and alert systems. Non-invasive sensing technologies are particularly important in ambulatory and continuous monitoring applications, where more cumbersome sensing equipment that is typically found in medical and clinical research settings is not usable. The research in this thesis demonstrates that it is possible to use simple non-invasive physiological and contextual sensing using the LiveNet system to accurately classify a variety of physiological conditions. We demonstrate that non-invasive sensing can be correlated to a variety of important physiological and behavioral phenomenon, and thus can serve as substitutes to more invasive and unwieldy forms of medical monitoring devices while still providing a high level of diagnostic power.<br>(cont.) From this foundation, the LiveNet system is deployed in a number of studies to quantify physiological and contextual state. First, a number of classifiers for important health and general contextual cues such as activity state and stress level are developed from basic non-invasive physiological sensing. We then demonstrate that the LiveNet system can be used to develop systems that can classify clinically significant physiological and pathological conditions and that are robust in the presence of noise, motion artifacts, and other adverse conditions found in real-world situations. This is highlighted in a cold exposure and core body temperature study in collaboration with the U.S. Army Research Institute of Environmental Medicine. In this study, we show that it is possible to develop real-time implementations of these classifiers for proactive health monitors that can provide instantaneous feedback relevant in soldier monitoring applications. This thesis also demonstrates that the LiveNet platform can be used for long-term continuous monitoring applications to study physiological trends that vary slowly with time.<br>(cont.) In a clinical study with the Psychiatry Department at the Massachusetts General Hospital, the LiveNet platform is used to continuously monitor clinically depressed patients during their stays on an in-patient ward for treatment. We show that we can accurately correlate physiology and behavior to depression state, as well as to track changes in depression state over time through the course of treatment. This study demonstrates how long-term physiology and behavioral changes can be captured to objectively measure medical treatment and medication efficacy. In another long-term monitoring study, the LiveNet platform is used to collect data on people's everyday behavior as they go through daily life. By collecting long-term behavioral data, we demonstrate the possibility of modeling and predicting high-level behavior using simple physiologic and contextual information derived solely from ambulatory mobile sensing technology.<br>by Michael Sung.<br>Ph.D.

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Ferreira, Gonzalez Javier. "Textile-enabled Bioimpedance Instrumentation for Personalised Health Monitoring Applications." Licentiate thesis, KTH, Medicinska sensorer, signaler och system (MSSS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120373.

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A growing number of factors, including the costs, technological advancements, an ageing population, and medical errors are leading industrialised countries to invest in research on alternative solutions to improving their health care systems and increasing patients’ life quality. Personal Health System (PHS) solutions envision the use of information and communication technologies that enable a paradigm shift from the traditional hospital-centred healthcare delivery model toward a preventive and person-centred approach. PHS offers the means to follow patient health using wearable, portable or implantable systems that offer ubiquitous, unobtrusive bio-data acquisition, allowing remote access to patient status and treatment monitoring. Electrical Bioimpedance (EBI) technology is a non-invasive, quick and relatively affordable technique that can be used for assessing and monitoring different health conditions, e.g., body composition assessments for nutrition. EBI technology combined with state-of-the-art advances in sensor and textile technology are fostering the implementation of wearable bioimpedance monitors that use functional garments for the implementation of personalised healthcare applications. This research studies the development of a portable EBI spectrometer that can use dry textile electrodes for the assessment of body composition for the purposes of clinical uses. The portable bioimpedance monitor has been developed using the latest advances in system-on-chip technology for bioimpedance spectroscopy instrumentation. The obtained portable spectrometer has been validated against commercial spectrometer that performs total body composition assessment using functional textrode garments. The development of a portable Bioimpedance spectrometer using functional garments and dry textile electrodes for body composition assessment has been shown to be a feasible option. The availability of such measurement systems bring closer the real implementation of personalised healthcare systems.<br><p>QC 20130405</p>

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Celik, Numan. "Wireless graphene-based electrocardiogram (ECG) sensor including multiple physiological measurement system." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15698.

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In this thesis, a novel graphene (GN) based electrocardiogram (ECG) sensor is designed, constructed and tested to validate the concept of coating GN, which is a highly electrically conductive material, on Ag substrates of conventional electrodes. The background theory, design, experiments and results for the proposed GN-based ECG sensor are also presented. Due to the attractive electrical and physical characteristics of graphene, a new ECG sensor was investigated by coating GN onto itself. The main focus of this project was to examine the effect of GN on ECG monitoring and to compare its performance with conventional methods. A thorough investigation into GN synthesis on Ag substrate was conducted, which was accompanied by extensive simulation and experimentation. A GN-enabled ECG electrode was characterised by Raman spectroscopy, scanning electron microscopy along with electrical resistivity and conductivity measurements. The results obtained from the GN characteristic experimentation on Raman spectroscopy, detected a 2D peak in the GN-coated electrode, which was not observed with the conventional Ag/AgCl electrode. SEM characterisation also revealed that a GN coating smooths the surface of the electrode and hence, improves the skin-to-electrode contact. Furthermore, a comparison regarding the electrical conductivity calculation was made between the proposed GN-coated electrodes and conventional Ag/AgCl ones. The resistance values obtained were 212.4 Ω and 28.3 Ω for bare and GN-coated electrodes, respectively. That indicates that the electrical conductivity of GN-based electrodes is superior and hence, it is concluded that skin-electrode contact impedance can be lowered by their usage. Additional COMSOL simulation was carried out to observe the effect of an electrical field and surface charge density using GN-coated and conventional Ag/AgCl electrodes on a simplified human skin model. The results demonstrated the effectiveness of the addition of electrical field and surface charge capabilities and hence, coating GN on Ag substrates was validated through this simulation. This novel ECG electrode was tested with various types of electrodes on ten different subjects in order to analyse the obtained ECG signals. The experimental results clearly showed that the proposed GN-based electrode exhibits the best performance in terms of ECG signal quality, detection of critical waves of ECG morphology (P-wave, QRS complex and T-wave), signal-to-noise ratio (SNR) with 27.0 dB and skin-electrode contact impedance (65.82 kΩ at 20 Hz) when compared to those obtained by conventional a Ag/AgCl electrode. Moreover, this proposed GN-based ECG sensor was integrated with core body temperature (CBT) sensor in an ear-based device, which was designed and printed using 3D technology. Subsequently, a finger clipped photoplethysmography (PPG) sensor was integrated with the two-sensors in an Arduino based data acquisition system, which was placed on the subject's arm to enable a wearable multiple physiological measurement system. The physiological information of ECG and CBT was obtained from the ear of the subject, whilst the PPG signal was acquired from the finger. Furthermore, this multiple physiological signal was wirelessly transmitted to the smartphone to achieve continuous and real-time monitoring of physiological signals (ECG, CBT and PPG) on a dedicated app developed using the Java programming language. The proposed system has plenty of room for performance improvement and future development will make it adaptabadaptable, hence being more convenient for the users to implement other applications than at present.

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Hauke, Adam J. "An Integrated System for Sweat Stimulation, Sampling and Sensing." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535371796736114.

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Chowdhury, Nusrat Jahan, Joseph Blevins, Phoenix Ragsdale, Tahsin Rezwana, and Ferdaus Ahmed Dr Kawsar. "Design and Development of a Comprehensive and Interactive Diabetic Parameter Monitoring System." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/51.

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Regular physical activity, timely medication, controlled diet, and blood glucose monitoring is crucial for any diabetic patient. Laxity on following these treatment regimens can cause severe health complexity. Moreover, A physician’s surveillance on a patient, based on the patient’s real-time progress is difficult with the existing health care system. This research aims to provide a more accurate objective data in real-time to the physicians to help both patients and providers. The data being generated is mined later to investigate interesting questions regarding diabetic care. The resultant system is a mobile healthcare monitoring system for type – 2 diabetic patients that traces patients daily progress. Although many mobile apps provide self-monitoring tools for the patient, an interactive platform for monitoring all relevant parameters of diabetes where patients and physicians both are end users is unique. The Android app is designed with 3 major modules and two submodules: 1. Carb Intake Tracker (CIT), 2. Blood Glucose Tracker (BGT), 3. Physical Activity Tracker (PAT), 4. Medicine and 5. Blood Glucose (BG) reading reminder. Since Carb is an important factor for a diabetic patient’s meals, the CIT provides a platform to record daily meals from which the patient can see the total carb intake. Through BGT, patients can record their fasting or non-fasting blood glucose reading. The PAT collects a patient’s movement data via Bluetooth from a pair of wearable insole devices, and processing the data identifies and records the current activity. The PAT can detect if the patient is active in sedentary, as well as the type of exercise done by the patient. Using BG reminder and medicine reminder, the patient can set reminders which supports the apps self-monitoring aspect. All the data collected by CIT, BGT, and PAT are stored in Microsoft Azure cloud database, an authorized physician can access the database and see graphical statistics of a patient’s diet, physical activity, and glycemic index level. The app portrays statistics of carbs taken over a period, calories burned, and Glucose level trends through graphical representation. This has two advantages: 1. Patients can improve lifestyle observing records and following reminders, 2. Physicians can prescribe actions perceiving a patient’s trends over time. This research presents unique collaborative interaction between diabetic patients and physicians to create a real time patient portal based on android APIs and wearable devices.

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Chowdhury, Nusrat. "Design and Development of a Comprehensive and Interactive Diabetic Parameter Monitoring System - BeticTrack." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3646.

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A novel, interactive Android app has been developed that monitors the health of type 2 diabetic patients in real-time, providing patients and their physicians with real-time feedback on all relevant parameters of diabetes. The app includes modules for recording carbohydrate intake and blood glucose; for reminding patients about the need to take medications on schedule; and for tracking physical activity, using movement data via Bluetooth from a pair of wearable insole devices. Two machine learning models were developed to detect seven physical activities: sitting, standing, walking, running, stair ascent, stair descent and use of elliptical trainers. The SVM and decision tree models produced an average accuracy of 85% for these seven activities. The decision tree model is implemented in an app that classifies human activity in real-time.

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Veta, Jacob E. "Analysis and Development of a Lower Extremity Osteological Monitoring Tool Based on Vibration Data." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1595879294258019.

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Books on the topic "Wearable health monitoring system"

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Danilo, De Rossi, and SpringerLink (Online service), eds. Wearable Monitoring Systems. Springer Science+Business Media, LLC, 2011.

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Jaw, Link C. Aircraft engine controls: Design, system analysis, and health monitoring. American Institute of Aeronautics and Astronautics, 2009.

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Malik, Hasmat, Nuzhat Fatema, and Jafar A. Alzubi, eds. AI and Machine Learning Paradigms for Health Monitoring System. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4412-9.

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Bennett, Stan. Outline of a national monitoring system for cardiovascular disease. The Institute, 1995.

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Schuhmann, Martin U. Intracranial Pressure and Brain Monitoring XIV. Springer Vienna, 2012.

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Koht, Antoun. Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals. Springer New York, 2012.

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Koht, Antoun, Tod B. Sloan, and J. Richard Toleikis, eds. Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0308-1.

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Jawaid, Mohammad, Ahmad Hamdan, and Mohamed Thariq Hameed Sultan, eds. Structural Health Monitoring System for Synthetic, Hybrid and Natural Fiber Composites. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8840-2.

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Koht, Antoun, Tod B. Sloan, and J. Richard Toleikis, eds. Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46542-5.

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Bhattacharya, C. B. Towards a system for monitoring brand health from store scanner data. Marketing Science Institute, 2000.

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Book chapters on the topic "Wearable health monitoring system"

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Khan, Ali Mehmood. "Wearable Health Monitoring System." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39476-8_36.

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Au, Lawrence, Brett Jordan, Winston Wu, Maxim Batalin, and William J. Kaiser. "Design of Wireless Health Platforms." In Wearable Monitoring Systems. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7384-9_4.

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Arredondo, Maria Teresa, Sergio Guillén, I. Peinado, and G. Fico. "Scenarios for the Interaction Between Personal Health Systems and Chronic Patients." In Wearable Monitoring Systems. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7384-9_12.

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Yuan, Jian, and Kok Kiong Tan. "Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population." In Wearable Electronics Sensors. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18191-2_5.

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Kassem, Ahmed, Mohamed Tamazin, and Moustafa H. Aly. "An Intelligent IoT-Based Wearable Health Monitoring System." In Recent Advances in Engineering Mathematics and Physics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39847-7_29.

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Jena, Mihir Kumar, and Irshad Ahmad Ansari. "Design of Wearable Health and Hazard Monitoring Device." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0751-9_88.

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Li, Na, YiBin Hou, and ZhangQin Huang. "An Event-Driven Energy Efficient Framework for Wearable Health-Monitoring System." In Active Media Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_18.

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Rao, Hiteshwar, Dhruv Saxena, Saurabh Kumar, et al. "Design of a Wearable Remote Neonatal Health Monitoring Device." In Biomedical Engineering Systems and Technologies. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26129-4_3.

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Boulemtafes, Amine, and Nadjib Badache. "Wearable Health Monitoring Systems: An Overview of Design Research Areas." In Annals of Information Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23341-3_2.

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Pugo-Méndez, Edisson, Juan Cabrera-Zeas, Luis Serpa-Andrade, Eduardo Pinos-Vélez, and Freddy Bueno-Palomeque. "Wearable Spine Postural Monitoring Embedded System for Occupational Health in Sitting Position." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30648-9_70.

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Conference papers on the topic "Wearable health monitoring system"

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Aboughaly, Ali A., and Mohamed A. Abd El Ghany. "Unobtrusive Wearable Health Monitoring System." In 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). IEEE, 2017. http://dx.doi.org/10.1109/isvlsi.2017.52.

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Fei, Haolin, and Masood Ur-Rehman. "A Wearable Health Monitoring System." In 2020 International Conference on UK-China Emerging Technologies (UCET). IEEE, 2020. http://dx.doi.org/10.1109/ucet51115.2020.9205468.

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Ji, Yanxin, Chengwei Mi, Feng Gao, Fang Deng, and Chao Zheng. "Wearable Human Health Monitoring System." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8483751.

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Hughes, E., M. Masilela, P. Eddings, A. Rafiq, C. Boanca, and R. Merrell. "VMote: A Wearable Wireless Health Monitoring System." In 2007 9th International Conference on e-Health Networking, Application and Services. IEEE, 2007. http://dx.doi.org/10.1109/health.2007.381665.

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Xu, Yue, Yanxin Ji, Fang Deng, Haonan Huang, Qun Hao, and Yukun Bao. "Wireless Distributed Wearable Health Monitoring System." In 2018 Chinese Automation Congress (CAC). IEEE, 2018. http://dx.doi.org/10.1109/cac.2018.8623215.

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Khatate, Prathamesh, Anagha Savkar, and C. Y. Patil. "Wearable Smart Health Monitoring System for Animals." In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2018. http://dx.doi.org/10.1109/icoei.2018.8553844.

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Tanaka, Tomoya, Koji Sonoda, Sayaka Okochi, et al. "Wearable Health Monitoring System and Its Applications." In 2011 4th International Conference on Emerging Trends in Engineering and Technology (ICETET). IEEE, 2011. http://dx.doi.org/10.1109/icetet.2011.34.

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Jalaliniya, Shahram, and Thomas Pederson. "A wearable kids' health monitoring system on smartphone." In the 7th Nordic Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2399016.2399150.

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Omer, Rebaz Mohammed Dler, and Nawzad Kameran Al-Salihi. "HealthMate: Smart Wearable System for Health Monitoring (SWSHM)." In 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2017. http://dx.doi.org/10.1109/icnsc.2017.8000185.

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Bao, Shenjie, Tuan Nguyen Gia, Wei Chen, and Tomi Westerlund. "Wearable Health Monitoring System using Flexible Materials Electrodes." In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT). IEEE, 2020. http://dx.doi.org/10.1109/wf-iot48130.2020.9221282.

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Reports on the topic "Wearable health monitoring system"

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Kynor, David B., and William E. Audette. Diver Health Monitoring System. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada550401.

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Kynor, David B., and William E. Audette. Diver Health Monitoring System: User Manual. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada550477.

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Cronkite, J., B. Dickson, W. Martin, and G. Collinwood. Operational Evaluation of a Health and Usage Monitoring System (HUMS). Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada345863.

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Stoupis, James, and Mirrasoul Mousavi. Real-Time Distribution Feeder Performance Monitoring, Advisory Control, and Health Management System. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1132766.

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Miller, Timothy C. Determining Stress Sensor Requirements for a Health Monitoring System Using Finite Elements. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417203.

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Murrill, Steven R., and Michael V. Scanlon. Design of a Heart Sound Extraction Algorithm for an Acoustic-Based Health Monitoring System. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada409127.

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Tang, Wei, and Stylianos Chatzidakis. REAL-TIME CANISTER WELDING HEALTH MONITORING AND PREDICTION SYSTEM FOR SPENT FUEL DRY STORAGE. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1649019.

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Roach, Dennis Patrick, David Villegas Jauregui, and Andrew Nicholas Daumueller. Development of a structural health monitoring system for the life assessment of critical transportation infrastructure. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1035338.

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Conn, Marvin A., Gregory Mitchell, Derwin Washington, Andrew Bayba, and Kwok F. Tom. Design, Development, and Demonstration of a Prognostic and Diagnostics Health Monitoring System for the CROWS Platform. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada523873.

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Jones, Allen E. Testing and Evaluation of the CDITM, 3M Health Care CDTM 400 Extracorporeal Blood Gas Monitoring System. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada357834.

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