基于非线性分析的生物信号低通滤波器设计试验

Forma-Revista d Estudis Comparatius Art Literatura Pensament Pub Date : 2019-01-01 DOI:10.5047/forma.2019.003

Toru Tanimura, Yusuke Jono, T. Hirata, Y. Matsuura, H. Takada

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引用次数: 2

摘要

实验研究了描述大脑血流动力学和前额叶皮层身体摇摆的数学模型的非线性。测量的生物信号数据通过每个低通滤波器进行平滑处理。脑血流动力学信号设置为0.1-2 Hz，身体摇摆信号设置为0.1-20 Hz。当低通滤波截止频率小于等于0.2 Hz时，当机体摆动小于等于0.5 Hz时，生物信号出现非线性，视为随机微分方程。

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Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

The nonlinearity of the mathematical model describing the cerebral blood flow dynamics and the body sway in the prefrontal cortex was investigated experimentally. The measured bio-signal data were smoothed with each low-pass filter. The signal was set to 0.1–2 Hz for the cerebral blood flow dynamics and to 0.1–20 Hz for the body sway. Nonlinearity was observed in the biological signal when the cut-off frequency of the low-pass filtering was 0.2 Hz or less, and while the body sway was 0.5 Hz or less, and was considered as a stochastic differential equations.

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来源期刊

Forma-Revista d Estudis Comparatius Art Literatura Pensament HUMANITIES, MULTIDISCIPLINARY-

自引率

0.00%

发文量

审稿时长

4 weeks