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For the analysis and comparison of electromyography (EMG) signals from different patients, standardization techniques are used to calculate the integrated EMG signal (iEMG), useful to evaluate the level of activity of different muscles. The iEMG corresponds to the area under the rectified curve (AUC). Currently, monitoring and follow-up of these patients is done in regular health exams where the evolution...
Reduce the feature space in classification is a critical, although sensitive, task since it depends on a certain definition of relevance. Feature selection has been the motivation for many researchers. In medical datasets, relevant attributes are often unknown a priori. Feature selection provides the features that contribute most to the classification task per si, which should therefore be used by...
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