The LF-ASD brain computer interface: on-line identification of imagined finger flexions in the spontaneous EEG of able-bodied subjects

Focuses on developing a brain-computer interface (BCT) for asynchronous control applications, which are characterized by alternating periods of active control and attentive idleness. We have developed an asynchronous switch that users can control through their EEG. The online implementation of the Low-Frequency Asynchronous Switch Design (LF-ASD) system has shown promising results with actual index finger flexions by able-bodied subjects. This paper reports the results of the algorithm on imagined voluntary movements with able-bodied persons, demonstrating hit (true-positive) rates above 70% and false-positive rates below 3%. This work is a precursor to verifying an online switch operation for people with severe motor disabilities