Enhancing the performance of the LF-ASD brain-computer interface

Energy normalization has been proposed as a method to reduce system errors in the low frequency asynchronous switch design (LF-ASD) brain-computer interface. This paper presents an energy normalization transform that is shown to be linear in the low frequency band and can increase the separation between movement potential and idle EEG by 42% to 133%.