Analyzing Effect of Meditation Using Higher Order Crossings and Functional Connectivity
People are experiencing difficulties in adapting to the rapid changes in work and social fabric due to the evolution of advanced technologies in everyday life. Health and well-being of an individual in the existing world is important for proper living. Meditation improves the adaptability of an individual to live a healthy and social life. To verify this, an experiment is designed with the simple meditation practice called Focused Attention for 8 weeks. The brain activity is recorded of 11 subjects using EMOTIV EPOC+ EEG device before (pre-meditation) and after (post-meditation) meditation. Features called Higher Order Crossings and Functional Connectivity are used to analyze the effect of meditation. The results indicated a decrease in HOC values for frontal, parietal, and occipital lobes and increase in HOC of temporal lobe. The interhemispheric connectivity increased after meditation practice.
KeywordsMeditation EEG Higher order crossings Functional connectivity
The work reported in this chapter is approved by the ethical approval committee of SGGSIE&T, Nanded. The committee consist of Dr. Mrs. S. S. Shinde (Chairperson), Dr. S. T. Hamde, Dr. R. R. Manthalkar, Prof. A. K. Dhaolwe, Prof. A. K. Dhadve.
- 2.Nidal, K., Malik, A.S.: EEG/ERP Analysis: Methods and Applications. Crc Press (2014)Google Scholar
- 3.Lo, P.-C., Zhu, Q.: Microstate analysis of alpha-event brain topography during Chan meditation. In: 2009 International Conference on Machine Learning and Cybernetics. IEEE (2009)Google Scholar
- 10.Ahani, A., et al.: Change in physiological signals during mindfulness meditation. In: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE (2013)Google Scholar
- 11.Surangsrirat, D., Intarapanich, A.: Analysis of the meditation brainwave from consumer EEG device. In: SoutheastCon 2015. IEEE (2015)Google Scholar
- 13.Kaur, C., Singh, P.: EEG derived neuronal dynamics during meditation: progress and challenges. Adv. Prev. Med. 2015 (2015)Google Scholar
- 17.Kedem, B., Yakowitz, S.: Time Series Analysis by Higher Order Crossings. IEEE press, New York (1994)Google Scholar