Diagnosis of Human Mental and Physical Conditions Based on Chaotic Analysis of Human Voices.

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• It is possible to measure human mental and physical conditions by analyzing human voice using a method based on the chaos theory. In order to derive exponents indicating degree of tiredness, we calculated the first Lyapunov exponent from reading voices.<BR>As a result, we found that it is possible to predict subject's fatigue. About 50 minutes after the subject had started reading, the subject complained of excessive fatigue, and the experiment was finished. In fact, the exponent had already reached the same level as the level that the subject complained of excessive fatigue 20 minutes after the subject had started reading.<BR>We also found that there were four patterns of variation of the exponent according to psychosomatic conditions of the subject. In the first phase, the averages of the exponent are decreasing. In the second, the exponent is gradually increasing. In the third, fluctuation is observed. And in the fourth, the load level increases at a fast rate.<BR>The phenomena, which"continuing to read aloud causes rise in the averages of the first Lyapunov exponent"and"stress condition of a person accompanies with the variation of the exponent", occur because of the following reason.<BR>When the brain-processing load is increasing, the situation-recognition-function that makes quality of"information aiming at control"for the physical-control-function decreases in order the brain to avoid overload. That makes quality of control toward speech organ by the physical-control-function decrease. Consequently, that is to say that quality of the speech or reading decreases.<BR>When the brain has enough space to functions, speech organ is controlled well, and the value of the first Lyapunov exponent is in the appropriate range. However, control of the speech organ becomes insufficient when the brain loses its space to functions, and the value of the first Lyapunov exponent increase beyond proper value.

• 一般社団法人 日本総合健診医学会の論文

一般社団法人 日本総合健診医学会 | 論文

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