Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution

被引：12

作者：

Biagetti, Giorgio ^{[1
]}

Crippa, Paolo ^{[1
]}

Orcioni, Simone ^{[1
]}

Turchetti, Claudio ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Ingn Informazione, Via Brecce Bianche,12, I-60131 Ancona, Italy

来源：

MOBILE NETWORKS FOR BIOMETRIC DATA ANALYSIS | 2016年 / 392卷

关键词：

MUSCLE FATIGUE; FIRING RATE; SIGNAL; CLASSIFICATION; CONTRACTIONS; FREQUENCY;

D O I：

10.1007/978-3-319-39700-9_14

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we use homomorphic deconvolution to obtain the power spectrum of the motor unit action potential (MUAP) from the surface electromyography (sEMG) signal. This spectrum is then used to extract the parameters of a time-domain model of the MUAP itself, in particular its amplitude and time scale. The analysis of the extracted parameters leads to the estimation of cadence and muscle fatigue. The methodology is tested with a sEMG signal recorded during biceps curl exercises.

引用

页码：173 / 188

页数：16

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