Controlling a hand orthosis by means of P300-based brain computer interface

Abstract

This paper aims to present a BCI based rehabilitation system and communication tool for stroke survivors. The system uses P300 evoked potential in order to control a hand orthosis or to write text. The key element is the real-time feature extraction and classification that works fast enough to present a feedback to the patient on the computer display. That helps the patient to learn faster to control the BCI system. The integration of a wireless control mechanism for the orthosis subsystem yields an easier setup phase and ensures a certain degree of freedom for the patient.