摘要：Background: The automatic correction mechanism plays an important role in both planning and execution of visually guided movements in daily life and it could be also as the effective therapy for upper limb motor rehabilitation. Materials and Methods: In this study, a novel classification method of single trial EEG signals was put forward to recognize automatic correction of finger movement. Results: The average accuracy of event related potentials (ERP) based feature extraction method for automatic corrections was 80.41%, improved by about 8% compared with the common method. Conclusion: The novel classification method of automatic correction of finger movement was effective and it could be applied to neuro-rehabilitation with severe brain injury.
