Quantitative change of EEG and respiration signals during mindfulness meditation
Journal of NeuroEngineering and Rehabilitation May 14, 2014 Asieh Ahani, Helané Wahbeh, Hooman Nezamfar et al. 165 citations
A classifier combining EEG and respiration signals can distinguish between meditation and control conditions with 85% accuracy in older novice meditators after a 6-week mindfulness meditation intervention. Using only EEG signals achieved 78% accuracy. The classifier, based on spectral and phase analysis, may serve as an objective marker for meditation ability and could quantify meditation depth and experience in future research.