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Fig. 8 | Journal of NeuroEngineering and Rehabilitation

Fig. 8

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

Fig. 8

Classification significance. Classification of center-out trajectories comparing different experimental data: center-out movement, shuffled data and random data. The success rate of targets correctly classified (mean ±STD) is obtained after computing a cross-fold validation between all runs (n=10) and then averaged between subjects (n=5). Each graph shows results for all the different target configurations: A-E (see Fig. 1) and reflects differences of center-out movement versus random and shuffled data

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