Feature Representation for Meditation State Classification in EEG Signal
Min Huang, Lizhen Ye, Junze Chen, Rurui Fu, Changle Zhou
International Conference on Information Technology in Medicine and Education November 1, 2021 DOI: 10.1109/itme53901.2021.00062 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Experimental study Peer reviewed |
|---|---|
| Topics | Meditation |
| Key findings | A multi-modal feature combining original power, power ratio, and non-linear dynamics from EEG signals can identify sitting and walking meditation with high accuracy. |
Abstract
Meditation has been shown as an efficient way to promote human well-being. Most studies focused on meditation in sitting posture. However, meditation in walking posture was rarely studied. In order to identify these two meditation states (i.e., sitting and walking), we proposed a classification framework by leveraging different features extracted from the EEG signals and the random forest classifier. This study first investigated different single-modal features, including original power, power ratio, and non-linear dynamics. Further, we also concatenated all the single-modal features into a multi-modal feature. The experimental results show that the original power feature is better than the non-linear dynamics feature in meditation state classification. Moreover, the multi-modal feature outperforms all the single-modal features and can identify sitting and walking meditation with high accuracy.
Comparable studies
Other experimental studies on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| The benefits of being present: Mindfulness and its role in psychological well-being. Cancer patients (clinical intervention study) | 2003 | Mixed methods: scale development, correlational, quasi-experimental, laboratory, experience-sampling, and clinical intervention study | |
| Loving-kindness meditation increases social connectedness. | 2008 | Controlled laboratory experiment | |
| Mindfulness and mind-wandering: Finding convergence through opposing constructs. | 2012 | Two studies: correlational study and experimental study | |
| Mental Training Enhances Attentional Stability: Neural and Behavioral Evidence | 2009 | Experimental study | |
| Mindfulness meditation and substance use in an incarcerated population. Incarcerated population | 2006 | Quasi-experimental with treatment-as-usual control condition |
Citations in the library
Cites 7
- 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
- Feature extraction and calibration of EEG signals in sitting and walking meditation International Conferences on Knowledge Innovation and Invention July 1, 2019
- 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
and 2 more in the library