2009 IEEE/NIH Life Science Systems and Applications Workshop 2009
DOI: 10.1109/lissa.2009.4906714
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HeartToGo: A Personalized medicine technology for cardiovascular disease prevention and detection

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Cited by 30 publications
(3 citation statements)
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“…Such a system also allows for real-time notification in the event of emergencies and providing first-responders with accurate and complete information about the patient's health. Continuous care systems are being designed to monitor a plethora of ailments such as cardiovascular diseases [40], neurological problems [63], collecting meta-physiological state information (sleep, awake, fatigue) [56], circadian activity monitoring [68], and extreme environment medical monitoring (e.g., [51].…”
Section: Open Issuesmentioning
confidence: 99%
“…Such a system also allows for real-time notification in the event of emergencies and providing first-responders with accurate and complete information about the patient's health. Continuous care systems are being designed to monitor a plethora of ailments such as cardiovascular diseases [40], neurological problems [63], collecting meta-physiological state information (sleep, awake, fatigue) [56], circadian activity monitoring [68], and extreme environment medical monitoring (e.g., [51].…”
Section: Open Issuesmentioning
confidence: 99%
“…In medical applications [7], WBANs are considered to be the key solution to prevent a variety of cardiovascular diseases [8][9], such as myocardial infarction, which are often related to intermittent rather than permanent anomalies s [10]. In addition, as the number of diabetic people worldwide is expected to reach 380 million by 2025, WBANs can also be adopted in diabetes monitoring [11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Alerts will be raised when the vital signs of patients fall outside the normal range. In another project, HeartToGo aimed at cardiovascular disease prevention and detection, and a system to measure ECG signal and activities based on Bluetooth bio-sensors and cellphone was developed (Jin et al 2009, Oresko et al 2010. Systems for other applications have also been considered (Venkatasubramanian et al 2005, Gyselinckx et al 2006, Jeong et al 2009, Chi and Cauwenberghs 2010; however, none of these projects aimed at studying fatigue in MS patients.…”
Section: Introductionmentioning
confidence: 99%