Feature extraction and calibration of EEG signals in sitting and walking meditation
Min Huang, Junze Chen, Changle Zhou
International Conferences on Knowledge Innovation and Invention July 1, 2019 DOI: 10.1109/ickii46306.2019.9042734 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study Peer reviewed |
|---|---|
| Population | 7-Day Zen participants |
| Interventions | sitting meditation walking meditation |
| Topics | Meditation |
| Key findings | Personalized calibration methods effectively address individual differences in EEG signals, enabling high-accuracy identification of sitting around, strolling, sitting meditation, and walking meditation states. |
Abstract
Meditation has been proved beneficial to people's physical and mental health in a large number of scientific reports. However, there are few studies on walking meditation. Walking meditation is a common meditation which involves walking with meditation. In order to investigate the differences in effects between sitting and walking meditation, the EEG signals of 7-Day Zen participants in the following four states are recorded: sitting around, strolling, sitting meditation, and walking meditation. Rhythm-based EEG features are extracted to identify the above four states, and features are calibrated to improve the performance of classification. The experimental results show that the personalized calibration methods effectively solve the individual differences in the EEG signals. The proposed system can identify the four states with high accuracy, which provides a further interpretation of neural actions introduced by meditation.
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 2
- Meditation Effects on Human Stress Relief Using Frequency and Non-Linear Features of EEG Signal 2023 2nd International Conference on Ambient Intelligence in Health Care November 17, 2023
- Feature Representation for Meditation State Classification in EEG Signal International Conference on Information Technology in Medicine and Education November 1, 2021
Cites 8
- A systematic review of the neurophysiology of mindfulness on EEG oscillations Neuroscience & Biobehavioral Reviews 2015
- Review of the Neural Oscillations Underlying Meditation Frontiers in Neuroscience March 26, 2018
- Frontal theta activity and white matter plasticity following mindfulness meditation Current Opinion in Psychology April 18, 2019
- Analysis of EEG Signals and Biomedical Changes Due to Meditation on Brain by Using ICA for Feature Extraction International Conference Intelligent Computing and Control Systems June 1, 2018
- Reconstructing and deconstructing the self: Cognitive mechanisms in meditation practice Trends in Cognitive Sciences July 28, 2015
and 3 more in the library