Real-Time Big EEG Data Processing With CUDA Parallel Computing Technology

Possibility of parallel computing technology application for big EEG data processing was considered. It was shown, that application of such methods for calculation of time-frequency characteristics of multichannel EEG signals allows real-time evaluation of changes in EEG signal and, therefore, in brain neuronal activity. Possibility of realization of wavelet-based algorithm for detection of characteristic states and changes of states on EEG signals in real time with help of CUDA C library was shown.