Classification of Electroencephalographic Changes in Meditation and Rest: using Correlation Dimension and Wavelet Coefficients
Atefeh Goshvarpour, Ateke Goshvarpour
International Journal of Information Technology and Computer Science March 27, 2012 DOI: 10.5815/ijitcs.2012.03.04 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study Peer reviewed |
|---|---|
| Sample size | 25 |
| Population | Healthy women |
| Intervention | Meditation |
| Topics | Meditation |
| Keywords | Wavelet Dimension graph theory Rest music Correlation dimension Pattern recognition psychology Electroencephalography Artificial intelligence Mathematical analysis Pure mathematics Acoustics Theology Fractal dimension |
| Citations | 10 |
| Key findings | The Fisher discriminant and Parzen classifier using correlation dimensions achieved 92.37% accuracy in classifying rest and meditation from EEG signals, outperforming wavelet-based features. |
Abstract
Meditation is a practice of concentrated focus upon the breath in order to still the mind. In this paper we have investigated an algorithm to classify rest and meditation, by processing of electroencephalogram (EEG) signals through the Wavelet and nonlinear methods. For this purpose, two types of EEG time series (before, and during meditation) of 25 healthy women are collected in the meditation clinic in Mashhad. Correlation dimension and Wavelet coefficients at the forth decomposition level of EEG signals in Fz, Cz and Pz are extracted and used as an input of different classifiers. In order to evaluate performance of the classifiers, the classification accuracies and mean square error (MSE) of the classifiers were examined. The results show that the Fisher discriminant and Parzen classifier trained on both composite features obtain higher accuracy than that of the others. The total classification accuracy of the Fisher discriminant and Parzen classifier applying Wavelet coefficients was 85.02% and 84.75%, respectively which is raised to 92.37% in both classifiers using Correlation dimensions.
Comparable studies
Other observational and cohort studies on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Using Self-Report Assessment Methods to Explore Facets of Mindfulness Undergraduate students | 2006 | Observational cohort | |
| Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia | 1992 | Observational cohort | n = 22 |
| Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls | 2005 | Observational cohort | n = 20 |
| Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls | 2011 | Observational cohort | |
| Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Long-term Buddhist practitioners and controls | 2004 | Observational cohort |
Citations in the library
Cited by 3
- EEG-based investigation of effects of mindfulness meditation training on state and trait by deep learning and traditional machine learning Frontiers in Human Neuroscience August 31, 2023
- Using Electroencephalography to Advance Mindfulness Science: A Survey of Emerging Methods and Approaches. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging April 1, 2025
- EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review. Complementary Therapies in Clinical Practice February 14, 2021
Cites 7
- Phase space in EEG signals of women refferred to meditation clinic Journal of Biomedical Science and Engineering 2011
- Investigation of meditation scenario by quantifying the complexity index of EEG Journal of the Chinese Institute of Engineers April 1, 2007
- Mindfulness meditation improves cognition: evidence of brief mental training. Consciousness and Cognition April 3, 2010
- Cortisol as a marker for improvement in mindfulness-based stress reduction. Complementary Therapies in Clinical Practice July 4, 2009
- Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological Bulletin March 2006
and 2 more in the library