Journal of Applied Physiology AJP: Renal Physiology
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J Appl Physiol 56: 568-575, 1984;
8750-7587/84 $5.00
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Journal of Applied Physiology, Vol 56, Issue 3 568-575, Copyright © 1984 by American Physiological Society

ARTICLES

Automatic selection of uncontaminated electromyogram as applied to respiratory muscle fatigue

A. Arvidsson, A. Grassino and L. Lindstrom

An automatic procedure for detecting artifacts in the electromyogram (EMG) has been developed and applied to a study of respiratory muscle fatigue. Signal segments are characterized by a set of features, the normal variations of which have been estimated in a training session. From the features are calculated a classification variable, which expresses the degree of deviation from normal conditions. A deviation larger than a certain threshold value designates a segment as disturbed. The study deals with the choice of features, the selection of a suitable segment length, and the determination of an optimal classification threshold. The four features chosen include measures of amplitude symmetry, extreme excursions in the signal tracing, the signal-to-noise ratio, and the shape of the EMG power spectrum. Recordings from three subjects were used for the evaluation of the method. The results indicate that a segment length of 250 ms is appropriate. Accepting a 10% rate of false detections, the average rate of missed detections was 2.2%.


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