Decision tree classifiers on EMG power spectral density features identify a small subset of frequencies and channels that suffice to classify muscle rest intervals for recovery assessment.
On the detection of activity patterns in electromyographic signals via decision trees
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A methodology to rank importance of frequencies and channels in electromyography data with Decision Tree classifiers
Decision tree classifiers on EMG power spectral density features identify a small subset of frequencies and channels that suffice to classify muscle rest intervals for recovery assessment.