Title
Consideration for improvement of demetia that uses communications
Abstract
We measured plethysmograms and calculated Largest Lyapunov Expornent (LLE ) with nonlinear analysis method. We found the value of LLE had significant relation to dementia degree and the communication skill of the ADL index for the measurement of 144 elderly people. We made a mathematical model to discuss the obtained experimental results by studying simulated what kind of information was able to extract from the plethysmograms data. Furthermore, we performed the measurement when we blocked the central nerve by general anesthesia to inspect the mathematical model. As a result, the data of the pulse wave elucidated that we included information of nucleus of the brain origin. In other words we got the conclusive evidence of having meaningful relation to dementia and LLE and a communication skill. We had an old man communicate in friendly care manager to an elderly people from these facts and measured the pulse wave at the same time. We calculated a sympathetic nerve, the value of the parasympathetic (LF/HF, HF) at the same time. As a result, the person whom LLE activated by communication had a low HF, and the person who was not activated understood that HF was in a high state. In other words an effect of the communication was accepted when an elderly people awoke. By this study, the communication was able to prove that we helped the mental activation of the elderly people scientifically.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5642239
Systems Man and Cybernetics
Keywords
Field
DocType
Lyapunov methods,medical signal processing,neurophysiology,nonlinear equations,ADL index,communication skill,demetia improvement,largest Lyapunov expornent,nonlinear analysis method,parasympathetic value,plethysmograms data,sympathetic nerve,ADL index,HRV,Largsrt Lyapunov Exponent,anesthesia,nonlinear analysis,plethysmograms
Lyapunov function,Neurophysiology,Computer science,Control theory,Pulse wave,Artificial intelligence,Dementia
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-6586-6
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Mayumi Oyama-Higa13315.63
Yoko Hirohashi200.68
Tiejun Miao32311.04