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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

From: The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke

Fig. 2

The workflow of K-fold (K = 10) cross-validation (CV) of the machine learning and deep learning models. The training and testing data refer to outcome measures derived from the position matching task in each stroke and control participant. The model generates a label that classified each individual participant as a control or participant with stroke

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