Quasi-linear ICA decomposes dynamic high-density EMG by learning a low-rank time-varying transformation to restore stationarity before applying classical linear ICA, outperforming adaptive baselines on a ground-truth benchmark.
Blind identification of the spinal cord output in humans with high-density electrode ar rays implanted in muscles
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Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
Quasi-linear ICA decomposes dynamic high-density EMG by learning a low-rank time-varying transformation to restore stationarity before applying classical linear ICA, outperforming adaptive baselines on a ground-truth benchmark.