Adaptive Baseline Correction of Meditation EEG
Pei-Chen Lo, Jenq-Shiun Leu
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.
Comparable studies
Other theoretical and historical papers on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Mindfulness: A proposed operational definition. | 2004 | Theoretical or philosophical paper | |
| Mechanisms of mindfulness | 2005 | Theoretical or philosophical paper | |
| How Does Mindfulness Meditation Work? Proposing Mechanisms of Action From a Conceptual and Neural Perspective | 2011 | Theoretical or philosophical paper | |
| Mindfulness-based cognitive therapy for depression | 2006 | Theoretical or philosophical paper | |
| Self-awareness, self-regulation, and self-transcendence (S-ART): a framework for understanding the neurobiological mechanisms of mindfulness | 2012 | Theoretical or philosophical paper |
Citations in the library
Cited by 2
- BILMB: Design of a hybrid Bio inspired Incremental Learning-based model for analysing effects of Meditation on different Body-parts 2023 6th International Conference on Information Systems and Computer Networks March 3, 2023
- Hurst exponents and linear regression with an application to low-power beta characterization in meditation EEG. American Journal of Electroneurodiagnostic Technology June 1, 2005
Cites 4
- Physiological Effects of Transcendental Meditation Science March 27, 1970
- Electrophysiological correlates of higher states of consciousness during sleep in long-term practitioners of the Transcendental Meditation program. Sleep February 1997
- Autonomic patterns during respiratory suspensions: possible markers of Transcendental Consciousness. Psychophysiology January 1997
- Meditation and the EEG Psychological Medicine May 1, 1980