Adaptive EMG decomposition in dynamic conditions based on online learning metrics with tunable hyperparameters
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DOI: 10.1088/1741-2552/ad5ebf
Abstract: Objective. Developing neural decoders robust to non-stationary conditions is essential to ensure their long-term accuracy and stability. This is particularly important when decoding the neural drive to muscles during dynamic contractions, which pose significant challenges… read more here.
Keywords: adaptation; online learning; learning metrics; emg decomposition ... See more keywords