2015/12 Detection of gait initiation through a ERD-based Brain-Computer Interface


“In this paper, an experiment designed to detect the will to perform several steps forward (as gait initiation) before it occurs using the electroencephalographic (EEG) signals collected from the scalp is presented. In order to detect this movement intention, the Event-Related Desynchronization phenomenon is detected using an SVM-based classifier. The preliminary results from seven users have been presented. In this work, the results obtained in a previous paper are enhanced obtaining similar true positive rates (around 66% in average) but reducing the false positive rates (with an average around 20%). In the future, this improved Brain-Computer Interface will be used as part of the control system of an exoskeleton attached to the lower limb of people with incomplete and complete spinal cord injury to initiate their gait cycle.”