HRV dynamics in four yogic-based meditation states using optimised AR model
by Ramesh Kumar Sunkaria; Suresh Chandra Saxena; Kumar Vinod; Shirley Telles
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 9, No. 1, 2012

Abstract: This study reports the quantification and comparison of Heart Rate Variability (HRV) dynamics during four yogic-based meditation states of cancalata, ekagrata, dharana and dhyana. For this, the Electrocardiogram (ECG) was recorded in 30 experienced male yoga practitioners (mean age ≅ 32 years, range 22-38 years, mean height ≅ 164 cm) in pre, during and post-sessions of these four meditation states and HRV was evaluated using optimised autoregressive (AR) technique. The sympatho-vagal balance (LF/HF ratio) became sympathetic tone (LF power) dominant during all four states but it was most strong during the state of cancalata. The vagal tone (HF power) was observed to be significantly low (p < 0.01) under ekagrata but it was significantly strong under state of dhyana (p < 0.01). The total variability (Ptotal (ms²)) was observed to be significantly high under dhyana in comparison with other states (p < 0.05). The mean heart rate (HR (bpm)) becomes low as we observed these four states in that order, but it was lowest under dhyana. The above-mentioned observation underlines the fact that each meditation state differentially affects the autonomic control branches but overall variability was observed to be the highest under state of dhyana.

Online publication date: Fri, 12-Dec-2014

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