On Spectral Analysis of Heart Rate Variability during Very Slow Yogic Breathing

Jovanov, Emil

doi:10.1109/iembs.2005.1616968

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…Though originally designed as a way to quiet the mind, these breathing techniques have also shown health benefits, especially in the area of mind-body illness. [4][5][6][7][8][9][10][11][12][13][14][15][16] Studies have suggested that pranayama practices create a relaxed state by enhancing parasympathetic tone. 11,13,16 Several studies have investigated the efficacy of a multimodality yoga intervention, which includes breathing, postures, and/or meditation, in a population of patients with cancer.…”

Section: Introductionmentioning

confidence: 99%

Yoga Breathing for Cancer Chemotherapy–Associated Symptoms and Quality of Life: Results of a Pilot Randomized Controlled Trial

Dhruva

Miaskowski

Abrams

et al. 2012

The Journal of Alternative and Complementary Medicine

125

111

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Background: Many debilitating symptoms arise from cancer and its treatment that are often unrelieved by established methods. Pranayama, a series of yogic breathing techniques, may improve cancer-related symptoms and quality of life, but it has not been studied for this purpose. Objectives: A pilot study was performed to evaluate feasibility and to test the effects of pranayama on cancerassociated symptoms and quality of life. Design: This was a randomized controlled clinical trial comparing pranayama to usual care. Setting: The study was conducted at a university medical center. Subjects: Patients receiving cancer chemotherapy were randomized to receive pranayama immediately or after a waiting period (control group). Interventions: The pranayama intervention consisted of four breathing techniques taught in weekly classes and practiced at home. The treatment group received pranayama during two consecutive cycles of chemotherapy. The control group received usual care during their first cycle, and received pranayama during their second cycle of chemotherapy. Outcome measures: Feasibility, cancer-associated symptoms (fatigue, sleep disturbance, anxiety, depression, stress), and quality of life were the outcomes. Results: Class attendance was nearly 100% in both groups. Sixteen (16) participants were included in the final intent-to-treat analyses. The repeated-measures analyses demonstrated that any increase in pranayama dose, with dose measured in the number of hours practiced in class or at home, resulted in improved symptom and qualityof-life scores. Several of these associations-sleep disturbance ( p = 0.04), anxiety ( p = 0.04), and mental quality of life ( p = 0.05)-reached or approached statistical significance. Conclusions: Yoga breathing was a feasible intervention among patients with cancer receiving chemotherapy. Pranayama may improve sleep disturbance, anxiety, and mental quality of life. A dose-response relationship was found between pranayama use and improvements in chemotherapy-associated symptoms and quality of life. These findings need to be confirmed in a larger study.

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Section: Introductionmentioning

confidence: 99%

Yoga Breathing for Cancer Chemotherapy–Associated Symptoms and Quality of Life: Results of a Pilot Randomized Controlled Trial

Dhruva

Miaskowski

Abrams

et al. 2012

The Journal of Alternative and Complementary Medicine

125

111

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“…For the HRV analysis we restricted ourselves to the time domain analysis only. Study [17] has found changes in relative very low frequency (VLF) power before and during exercise. Spectral domain features can also be calculated by the toolbox we are using, but we restricted this analysis to time domain analysis as the goal is not to compare different metrices in the three different meditation techniques.…”

Section: Resultsmentioning

confidence: 99%

Fuzzy C-Means Clustering and Sonification of HRV Features

Borthakur

Grace²,

Batchelor³

et al. 2019

2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

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Linear and non-linear measures of heart rate variability (HRV) are widely investigated as non-invasive indicators of health. Stress has a profound impact on heart rate, and different meditation techniques have been found to modulate heartbeat rhythm. This paper aims to explore the process of identifying appropriate metrices from HRV analysis for sonification. Sonification is a type of auditory display involving the process of mapping data to acoustic parameters. This work explores the use of auditory display in aiding the analysis of HRV leveraged by unsupervised machine learning techniques. Unsupervised clustering helps select the appropriate features to improve the sonification interpretability. Vocal synthesis sonification techniques are employed to increase comprehension and learnability of the processed data displayed through sound. These analyses are early steps in building a real-time sound-based biofeedback training system.

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“…(2005) emphasized the sympathetic nervous system dynamics to counter mental stress and other external or internal disturbances effecting visceral homeostasis [5]. Jovanov E. (2005) during very slow yogic breathing found increased VLF frequencies, respiratory sinus arrhythmia, LF/HF ratio and decreased breathing frequency after exercise in comparison to state before exercise [6]. Patil S. and Telles S. (2006) in their study on two yogic based relaxation effects on HRV in cyclic meditation (CM) and supine rest (SR), showed decrease in LF power and LF/HF ratio during and after CM, whereas HF power decreased.…”

Section: Introductionmentioning

confidence: 99%

Effect of Ekagrata Meditation on Sympatho-Vagal Balance-An Auto-Regressive Model Approach

Sunkaria¹

2013

JIII

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The ekagrata meditation state pertains to channelizing the thoughts in one direction. In the present work the effect of meditation state of ekagrata on heart rate variability dynamics have been analyzed. For this, the electrocardiogram was recorded in thirty (n=30) experienced male yoga practitioners (mean age  32 years, range 22-38 years, mean height  164 cms) in pre, during and post-sessions of ekagrata meditation. The heart rate variability was evaluated using optimized autoregressive technique. The sympatho-vagal balance (LF/HF ratio) became sympathetic tone (LF power) dominant, while vagal tone (HF power) was observed to be significantly low (p<0.01) under meditation state of ekagrata. The total variability (Ptotal (ms 2)) is significantly high (p<0.05) and mean heart rate (HR (bpm)) is lowered under this meditation state.  Index Terms-heart rate variability, ekagrata meditation, optimized AR model, LF power, HF power.

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On Spectral Analysis of Heart Rate Variability during Very Slow Yogic Breathing

Cited by 23 publications

References 9 publications

Yoga Breathing for Cancer Chemotherapy–Associated Symptoms and Quality of Life: Results of a Pilot Randomized Controlled Trial

Yoga Breathing for Cancer Chemotherapy–Associated Symptoms and Quality of Life: Results of a Pilot Randomized Controlled Trial

Fuzzy C-Means Clustering and Sonification of HRV Features

Effect of Ekagrata Meditation on Sympatho-Vagal Balance-An Auto-Regressive Model Approach

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