Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Davidson, R.J., Lutz, A.: Buddha’s brain: neuroplasticity and meditation [in the spotlight]. IEEE Signal Process. Mag. 25(1), 176–174 (2008)
Nidal, K., Malik, A.S.: EEG/ERP Analysis: Methods and Applications. Crc Press (2014)
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)
Chang, K.-M., Lo, P.-C.: F-VEP and alpha-suppressed EEG-physiological evidence of inner-light perception during Zen meditation. Biomed. Eng. Appl. Basis Commun. 18(01), 1–7 (2006)
Sobolewski, A., et al.: Impact of meditation on emotional processing—a visual ERP study. Neurosci. Res. 71(1), 44–48 (2011)
Cahn, B.R., Polich, J.: Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132(2), 180 (2006)
Ahani, A., et al.: Quantitative change of EEG and respiration signals during mindfulness meditation. J. Neuroeng. Rehabil. 11(1), 87 (2014)
Xue, S.-W., et al.: Short-term meditation induces changes in brain resting EEG theta networks. Brain Cogn. 87, 1–6 (2014)
Travis, F., Shear, J.: Focused attention, open monitoring and automatic self-transcending: categories to organize meditations from Vedic, Buddhist and Chinese traditions. Conscious. Cogn. 19(4), 1110–1118 (2010)
Ahani, A., et al.: Change in physiological signals during mindfulness meditation. In: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE (2013)
Surangsrirat, D., Intarapanich, A.: Analysis of the meditation brainwave from consumer EEG device. In: SoutheastCon 2015. IEEE (2015)
Lutz, A., et al.: Attention regulation and monitoring in meditation. Trends Cogn. Sci. 12(4), 163–169 (2008)
Kaur, C., Singh, P.: EEG derived neuronal dynamics during meditation: progress and challenges. Adv. Prev. Med. 2015 (2015)
Dissanayaka, C., et al.: Comparison between human awake, meditation and drowsiness EEG activities based on directed transfer function and MVDR coherence methods. Med. Biol. Eng. Comput. 53(7), 599–607 (2015)
Jadhav, N., Manthalkar, R., Joshi, Y.: Effect of meditation on emotional response: an EEG-based study. Biomed. Signal Process. Control 34, 101–113 (2017)
Petrantonakis, P.C., Hadjileontiadis, L.J.: Emotion recognition from EEG using higher order crossings. IEEE Trans. Inf. Technol. Biomed. 14(2), 186–197 (2010)
Kedem, B., Yakowitz, S.: Time Series Analysis by Higher Order Crossings. IEEE press, New York (1994)
Declaration
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Phutke, S., Jadhav, N., Manthalkar, R., Joshi, Y. (2019). Analyzing Effect of Meditation Using Higher Order Crossings and Functional Connectivity. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_77
Download citation
DOI: https://doi.org/10.1007/978-981-13-1513-8_77
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1512-1
Online ISBN: 978-981-13-1513-8
eBook Packages: EngineeringEngineering (R0)