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Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets
sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet are known to be vulnerable to changing recording conditions, exhibiting significant drops in performance across subjects, and even across sessions.
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
Confounding variables are a well known source of nuisance in biomedical studies.
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