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Fig. 5 | Journal of NeuroEngineering and Rehabilitation

Fig. 5

From: Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control

Fig. 5

Example of MRL calibration results from a single subject. Each point represents the output \(\widehat{{\varvec{y}}}={\left[{\widehat{y}}_{1}, {\widehat{y}}_{2}\right]}^{T}\) of the calibrated MRL model when fed an 8-channel sEMG sample from the calibration data, coloured according to the movement instruction stimuli with which it cooccurred. Each ‘trail’ connecting the origin to a cluster represents the onset and conclusion of a movement repetition

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