Fig. 7
From: Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals
Illustration of the experimental setting used in the intra-subject approach. 90% of the EMG signal of the subject K is used to train the neural network classifier, while the remaining 10% of the trail of the same subject is used for testing phase. For each subject, a 10-fold cross-validation is performed, using, at each fold, a different portion of the subject’s trial for testing. The experiment is performed for all the subjects (K = [1, 2,…, N])