Adaptive baseline correction of meditation EEG

Abstract

In our study of EEG during Zen-Buddhism meditation, EEG signals recorded sometimes exhibit complex baseline drift caused by eye movement, deep breathing, etc. The baseline drift affects the grading of stages of meditation according to EEG rhythms. This paper describes a new method for EEG baseline drift correction. The method, utilizing the adaptive scheme, is able to extract the complex baseline drift pattern involving both slowly-varying and sharply-contoured transient activities. Compared with the conventional filtering approach, the proposed method proves its superiority in correcting the EEG contaminated by complex baseline drift patterns.