Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 14; no. 1; pp. 30 - 37
• Main Authors: Muller-Putz, G.R., Scherer, R., Neuper, C., Pfurtscheller, G.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Biofeedback, Psychology; Biomedical informatics; Brain - physiology; Brain-computer interface (BCI); Computer graphics; Electric Stimulation; electroencephalogram (EEG); Electroencephalography; Evoked Potentials, Somatosensory - physiology; Feature extraction; Female; Fingers; Fingers - physiology; Frequency; Humans; Laboratories; Learning - physiology; Male; Movement - physiology; Signal Processing, Computer-Assisted; Steady-state; steady-state somatosensory evoked potential (SSSEP); Transducers; User-Computer Interface
• ISSN: 1534-4320; 1558-0210
• DOI: 10.1109/TNSRE.2005.863842

One of the main issues in designing a brain-computer interface (BCI) is to find brain patterns, which could easily be detected. One of these pattern is the steady-state evoked potential (SSEP). SSEPs induced through the visual sense have already been used for brain-computer communication. In this work, a BCI system is introduced based on steady-state somatosensory evoked potentials (SSSEPs). Transducers have been used for the stimulation of both index fingers using tactile stimulation in the "resonance"-like frequency range of the somatosensory system. Four subjects participated in the experiments and were trained to modulate induced SSSEPs. Two of them learned to modify the patterns in order to set up a BCI with an accuracy of between 70% and 80%. Results presented in this work give evidence that it is possible to set up a BCI which is based on SSSEPs.