Using Pulse Waves for Self-Cognition

In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Ly...

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Bibliographic Details
Published in:	2018 International Joint Conference on Information, Media and Engineering (ICIME) pp. 201 - 204
Main Authors:	Hu, Yuyu, Oyama-Higa, Mayumi, Miyoshi, Emako
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2018
Subjects:	autonomic nerve balance Entropy Indexes largest Lyapunov exponent Parkinson's disease Psychiatry Psychology Pulse measurements pulse waves sample entropy self-cognize
Online Access:	Get full text
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Summary:	In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.
DOI:	10.1109/ICIME.2018.00049