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.
A modular implementation to handle and benchmark drift correction for high-density ext racellular recordings
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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.