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.
Viualizing data using t-SNE.Journal of Machine Learning Research, 9:2579–2605, Novem- ber 2008
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.