文章基本信息

标题：Monitoring Accumulative Fatigue of Finger by Autoregressive Modeling of Physiological Tremor
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作者：Tiejun Miao ; Kazuyoshi Sakamoto
期刊名称：Journal of PHYSIOLOGICAL ANTHROPOLOGY and Applied Human Science
印刷版ISSN：1345-3475
出版年度：1995
卷号：14
期号：1
页码：29-36
DOI：10.2114/ahs.14.29
出版社：Japan Society of Physiological Anthropology
摘要：In this study, block data structured autoregressive (AR) method is used to evaluate fatigue, based on physiological tremor during and after loading a weight mass on the index finger. The temporal changes in the prediction coefficients and the reflection coefficients are determined. AR spectral estimation with the ninth-order is obtained and presented in graphical form. The results indicate that the first prediction coefficient a₁ can be used to characterize the state of fatigue of finger muscle and the other prediction coefficients do not show any tendency for the finger load. The coefficient a₁ can be applied to monitor the accumulative fatigue induced by the weight loading for a duration of time.
关键词：physiological tremor;finger tremor;fatigue;AR model;weight load.