A workflow combining shape distortion metrics and feature-based ML classification is used to test downsampling effects on nEMG signals in a three-class NMD task.
Effect of decimation on the classification rate of non-linear analysis methods ap- plied to uterine EMG signals.IRBM, 34(4):326–329, November 2013
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How does downsampling affect needle electromyography signals? A generalisable workflow for understanding downsampling effects on high-frequency time series
A workflow combining shape distortion metrics and feature-based ML classification is used to test downsampling effects on nEMG signals in a three-class NMD task.