1-Page Extended Abstract (Poster)
18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO
The importance of continuous daily health monitoring based on IoT devices with cloud information systems has been widely recognized. We have explored the feasibility of the mental health monitoring by continuously recorded heart rate rhythm by a wrist device. As the physiological indices to characterize heart rate rhythm, the heart rate data were first decomposed into a few rhythm components. Then parameters to represent autonomic responsiveness were defined and extracted to examine if they could predict mental soundness of the subjects. It has been shown that the physiological heart rhythm parameters are highly correlated with individual phycological flow state experience. This evidence could lead to find objective physiological indices to measure the psychological mental soundness. Combining both psychological and physiological indices will be a key to realize the reliable mental health care system development.
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