A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers.
Medicine April 1, 2017 Yu-Hao Lee, Ya-Ju Hsieh, Yung-Jong Shiah et al.
To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-sectional analysis to evaluate the meditation experience with 2 artificial intelligence techniques: artificial neural network and support vector...
DOI: 10.1097/md.0000000000006612 (opens in new tab)
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Meditation
Humans
Image interpretation, computer-assisted
Electroencephalography
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