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Fig. 12 | Journal of NeuroEngineering and Rehabilitation

Fig. 12

From: Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

Fig. 12

Passive vs active decoding. Continuous decoding of center-out trajectories (a) and classification of reached targets (b) comparing active center-out movement and passive center-out movement. For the continuous decoding, the Pearson correlation coefficient (mean ±STD) is obtained after computing a cross-fold validation between all runs (n=10 for active and n=5 por passive) and then averaged between subjects (n=5). The results for position (Px and Py) and velocity (Vx and Vy) are displayed. For the classification of reached targets, the success rate of targets correctly classified (mean ±STD) is obtained after computing a cross-fold validation between all runs (n=10 for active and n=5 por passive) and then averaged between subjects (n=5). The results of five different target configurations (see Fig. 1) are displayed

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