An improved asynchronous brain interface: making use of the temporal history of the LF-ASD feature vectors.
The low-frequency asynchronous switch design (LF-ASD) has been introduced as a direct brain interface (BI) for asynchronous control applications. Asynchronous interfaces, as opposed to synchronous interfaces, have the advantage of being operational at all times and not only at specific system-defined periods. This paper modifies the LF-ASD design by incorporating into the system more knowledge about the attempted movements. Specifically, the history of feature values extracted from the EEG signal is used to detect a right index finger movement attempt. Using data collected from individuals with high-level spinal cord injuries and able-bodied subjects, it is shown that the error characteristics of the modified design are significantly better than the previous LF-ASD design. The true positive rate percentage increased by up to 15 which corresponds to 50% improvement when the system is operating with false positive rates in the 1-2% range.
Bashashati
Ali
A
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. alibs@ece.ubc.ca
Mason
Steve
S
Ward
Rabab K
RK
Birch
Gary E
GE
D000328:Adult; D001185:Artificial Intelligence; D001921:Brain / Q000503:physiopathology*; D003143:Communication Devices for People with Disabilities; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D019544:Equipment Failure Analysis; D019054:Evoked Potentials, Motor; D005260:Female; D006801:Humans; D007092:Imagination; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013119:Spinal Cord Injuries / Q000503:physiopathology* / Q000534:rehabilitation*; D014584:User-Computer Interface