Temporal-domain Analysis of Meditation and Mind-wandering EEG Signals for Different Meditation Traditions
2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances October 27, 2023 Katinder Kaur, P. Khandnor
Features extracted from the time domain of EEG signals, such as sample entropy and zero-crossing rate, can distinguish meditation from mind-wandering with 93% to 97% accuracy across three traditions: Himalayan Yoga, Isha Shoonya, and Vipassana. Signal-complexity features were most effective for differentiation. The analysis used publicly available EEG recordings, preprocessed to remove noise, and classified with Support Vector Machine and Random Forest algorithms.