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Fig. 11 | Journal of NeuroEngineering and Rehabilitation

Fig. 11

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

Fig. 11

Comparison of precision and correctly identified MU counts among ML-DRSNet, ML-DCNN, and MT-DCNN at (a)-(b) 10% MVC, (c)-(d) 30% MVC, and (e)-(f) 50% MVC using the shortest window size (20 data points) and step size (10 data points). Asterisks indicate statistical significance: * P < 0.05, ** P < 0.01, *** P < 0.001

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