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AI Model for Extracting Patterns from EMG Data
Application
Aritificial neural network-based dynamical systems modeling on electromyography (EMG) data for simultaneously estimating de-noised, high-resolution muscle activation signals across multiple muscles with millisecond-timescale precision.
Key Benefits
Generates models that produce estimates that avoid trivial output solutions (e.g., replicating...
Published: 11/5/2025
Contributor(s): Lahiru Wimalasena, Chethan Pandarinath, Mohammad Reza Keshtkaran
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