Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approach.

Abstract:

:A method aimed at the real-time monitoring of muscular fatigue was implemented and optimized. The method is based on an estimate of the complex covariance function in order to evaluate, in real time, the mean frequency of the myoelectric signal spectrum. Real-time implementation is guaranteed by a recursive computation of the complex covariance and then of the mean frequency. The results show good performance on both synthetic and experimental non-stationary myoelectric signals recorded during fatiguing dynamic protocols. Performance in the presence of noise is highly satisfactory on both deterministic signals and stochastic processes, even when there are strong non-stationarities. Moreover, the computational complexity is highly reduced with respect to that offered by traditional methods based on short time Fourier transform.

journal_name

Med Eng Phys

authors

Conforto S,D'Alessio T

doi

10.1016/s1350-4533(99)00049-1

subject

Has Abstract

pub_date

1999-05-01 00:00:00

pages

225-34

issue

4

eissn

1350-4533

issn

1873-4030

pii

S1350-4533(99)00049-1

journal_volume

21

pub_type

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