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The application of non-linear methods to the analysis of finger plethysmograms for ergonomics

机译:非线性方法在人体工程学手指体积描记图分析中的应用

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摘要

Chaotic fluctuations in many biological signals have attracted considerable attention since in the assessment of these properties, chaos analysis can extract more informative knowledge than conventional analysis methods such as spectral analysis. Biological signals, particularly chaotic fluctuation of finger plethysmograms, were used to assess the psychophysiological state of workers in ergonomic research of Japan. This paper introduces the method of chaos analysis and the results of our two studies. In both studies, it was shown that chaotic fluctuation (largest Lyapunov exponent) in finger plethysmograms might have the potential to assess the mental workload of workers and to prevent the occurrence of human error. In the future, if we can determine how chaotic fluctuations in finger plethysmograms are related physiological mechanisms, chaos analysis is expected to make a great contribution to various fields.
机译:由于在评估这些特性时,许多生物信号中的混沌波动引起了极大的关注,因为与常规分析方法(例如光谱分析)相比,混沌分析可以提取更多的信息。在日本的人体工学研究中,使用生物信号,尤其是手指体积描记图的混沌波动,来评估工人的心理生理状态。本文介绍了混沌分析的方法以及我们两个研究的结果。在两项研究中,都表明手指体积描记图中的混沌波动(最大的Lyapunov指数)可能具有评估工人的心理工作量并防止人为错误发生的潜力。将来,如果我们能够确定手指体积描记图中的混沌波动是如何相关的生理机制,那么混沌分析有望在各个领域做出巨大贡献。

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