Analysis of myoelectric signals recorded during dynamic contractions - A time-frequency approach to assessing muscle fatigue

被引：95

作者：

Bonato, P ^{[1
]}

Gagliati, G ^{[1
]}

Knaflitz, M ^{[1
]}

机构：

[1] POLITECN TORINO, DIPARTIMENTO ELETTRON, I-10129 TURIN, ITALY

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1996年 / 15卷 / 06期

关键词：

D O I：

10.1109/51.544517

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The various theoretical considerations that justify the choice of specific time-frequency transforms for processing nonstationary myoelectric signals as a method of studying muscle fatigue prior to the failure point are presented. Five different time-frequency transforms were applied, namely, the Wigner-Ville, the smoothed Wigner-Ville, the Cone kernel, the reduced interference, and the Choi-Williams. Preliminary results obtained by applying these techniques to computer-synthesized realizations of stochastic processes, as well as to real signals detected during different types of healthy human volunteers are presented.

引用

页码：102 / 111

页数：10

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