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Using Pulse Waves for Self-Cognition

Authors :
Mayumi Oyama-Higa
Emako Miyoshi
Yuyu Hu
Source :
2018 International Joint Conference on Information, Media and Engineering (ICIME).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2018 International Joint Conference on Information, Media and Engineering (ICIME)
Accession number :
edsair.doi...........edd5688bed093776ebe9584739c6cdf5