Detection of Neural Fatigue State by Speech Analysis Using Chaos Theory

被引:1
|
作者
Shintani, Jun [1 ,2 ]
Ogoshi, Yasuhiro [3 ]
机构
[1] Univ Fukui, Grad Sch Engn, Dept Adv Interdisciplinary Sci & Technol, 3-9-1 Bunkyo, Fukui 9108507, Japan
[2] Fukui Hlth Sci Univ, Dept Rehabil, Div Speech Language Hearing Therapy, 55 Egami cho 13-1, Fukui 9103190, Japan
[3] Univ Fukui, Grad Sch Engn, Dept Human & Artificial Intelligent Syst, 3-9-1 Bunkyo, Fukui 9108507, Japan
关键词
speech analysis; fatigue state; chaos theory; brain arousal level;
D O I
10.18494/SAM4334
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Fatigue is a state of reduced physical activity with a distinctive feeling of discomfort and desire for rest caused by excessive physical and mental activity or illness. Until now, fatigue has been detected by listening to subjective fatigue levels or by measuring reactive oxygen species in the blood, but there is a need for a method that can immediately and easily measure fatigue. In this study, a fatigue task was created on a tablet device and administered continuously for 120 min to induce a temporary neurological state. We recorded the study participants' voices before and after the fatigue task and examined whether their neural fatigue could be detected using an analysis method based on chaos theory. The analysis showed that cerebral exponent macro (CEM) values, which indicate brain arousal, decreased significantly after the task, except in cases in which concentration on the task seemed to be insufficient.
引用
收藏
页码:2205 / 2213
页数:9
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