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.
M4: a visualization-oriented time series data aggregation.Proceedings of the VLDB Endowment, 7(10):797–808, June 2014
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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.