Authors:
Mayumi Oyama-Higa
1
;
Teijyu Miao
2
;
Kazuo Sato
2
;
Kazuyoshi Tanaka
3
and
Huaichang Cheng
4
Affiliations:
1
Kwansei Gakuin University, Japan
;
2
Chaos Technical Research Laboratory and CCI Incorporation, Japan
;
3
Research & Development Center, Hitachi Systems & Services, Ltd., Japan
;
4
Bio-feedback and Measurement Group, College of Physics, Jilin University, China
Keyword(s):
Pulse wave, Chaos analysis, Lyapunov exponent, Divergence, Mental health, Pulse wave mouse.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Case-Based Reasoning
;
Communication and Software Technologies and Architectures
;
Complexity
;
Data Engineering
;
Data Warehouses and Data Mining
;
Distributed and Mobile Software Systems
;
e-Business
;
Embedded Communications Systems
;
Engineering Information System
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Health Information Systems
;
Information Retrieval
;
Information Systems Analysis and Specification
;
Intelligent Problem Solving
;
Internet Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge Representation
;
Knowledge-Based Systems
;
Management Information Systems
;
Ontologies and the Semantic Web
;
Pattern Recognition
;
Programming Languages
;
Society, e-Business and e-Government
;
Software Architectures
;
Software Engineering
;
Symbolic Systems
;
Telecommunications
;
Theory and Methods
;
Visual Programming
;
Web Information Systems and Technologies
Abstract:
We applied nonlinear chaos analysis to fingertip pulse wave data and found that the Lyapunov exponent, a measure of the “divergence” of the trajectory of the attractor, was a useful index of mental health in humans, particularly for the early detection of dementia and depressive psychosis, and for monitoring mental changes in healthy persons. We developed an easy-to-use economical device, a PC mouse with an integrated sensor for measuring the pulse waves, and its required software, to make the measurements. After about 1 min of measurement, the Lyapunov exponent is calculated and displayed as a graph on the PC. An advantage of this system is that the measurements can be made very easily and mental health can be assessed when the PC is not being used for other work. Moreover, the measured data can be saved according to the time and date, so diurnal changes and changes over longer time periods can be monitored as a time series. The changes in the Lyapunov exponent are displayed on the
PC as constellation graphs.
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