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Fig. 5 | Journal of NeuroEngineering and Rehabilitation

Fig. 5

From: Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface

Fig. 5

Decoding hand and wrist movements in a continuous EMG dataset. A Dynamic cue shifting significantly improved accuracy compared to no cue shift (Cue shift: paired t-test Dynamic vs. None, p = 0.020). There was no significant difference between a dynamic cue shift and static 800-ms cue shift (approximately the average cue shift across subjects) (Cue shift: paired t-test Dynamic vs. Static 800 ms, p = 0.22). B Confusion matrix detailing performance from one subject in the continuous dataset. C Time series plot depicting decoder class probabilities across time. The presented cue is shown in above the time series plot as a rectangular colored bar with the color corresponding to the movement class

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