전두엽 뇌파의 안전도 잡음 제거를 위한 다채널 결합형 뇌파 적응필터의 구현
Realization of the multi-channel combined EEG adaptive filter for EOG removal on the frontal lobe
뇌파 안전도 뇌전도 적응필터;
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It has been proposed the combined EEG adaptive filter algorithm, the feedback output control algorithm, and the multi-channel combined EEG adaptive filter that used LMS-RLS based FIR filter algorithm. The combined EEG adaptive filter that can efficiently reduce EOG, has been implemented on DSK6711 and TMS320C31 system. The feedback output controller has been controlled the alpha wave ratio on the TMS320C31 board with on-line real time performance. The combined EEG adaptive filter was made up the LMS based ALE and the RLS based ANC. The LMS based ALE performs the EOG prediction from the measured EEG for the reference signal of the RLS based ANC. And then the RLS based ANC improves the performance of EOG removal. The EEG data are acquired at the Fp_(1) localization, which is on frontal lobe. Next, these data were filtered by the combined EEG adaptive filter that can eliminate EOG. In biofeedback output control algorithm, the alpha wave ratio of EEG is calculated by the FFT and arithmatic summation that applies output voltage to stimulate device. Also, the multi-channel combined EEG adaptive filter was made up the LMS-RLS adaptive filter and FIR filters, which reduced the computational complexity and can use multi-channel measurement on the frontal lobe. We demonstrated that the proposed combined EEG adaptive filter and multi-channel combined EEG adaptive filter removed effectively EOG from the measured EEG on the frontal lobe and the feedback output controller generated the output voltage according to the alpha wave ratio.