Adaptive Baseline Correction of Meditation EEG
American Journal of Electroneurodiagnostic Technology June 1, 2001 DOI: 10.1080/1086508x.2001.11079338 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or methodological paper Peer reviewed |
|---|---|
| Topics | Meditation |
| Citations | 8 |
| Key points | Proposes an adaptive method for EEG baseline drift correction that outperforms conventional filtering in handling complex drift patterns involving both slow and transient components. |
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.