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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

From: A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time

Fig. 2

A schematic diagram illustrating the sliding window for data segmentation and input-output data of the network. (a) Input data: HD-sEMG signals are segmented using a sliding window with a specified window size (e.g., 20, 60, 100, or 140 data points) and step size (e.g., 10, 20, 30, 40, or 50 data points). (b) Output data: A one-dimensional binary vector where each binary label corresponds to a MU, with 1 indicating a MU discharge and 0 indicating no discharge

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