Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System

Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten subjects performing isometric contraction until fatigue. A novel feature (1D spectro_std) was used to extract the feature that modeled three classes of fatigue, which enabled the prediction and detection of fatigue....

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Bibliographic Details
Main Authors: Mohamed R. Al-Mulla, Francisco Sepulveda
Format: Article
Published: MDPI AG 2010-05-01
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