Effects of various Prāṇāyāma on cardiovascular and autonomic variables

Nivethitha, L; Mooventhan, A; Manjunath, N K

doi:10.4103/asl.asl_178_16

Cited by 80 publications

(48 citation statements)

References 47 publications

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“…Similar benefits were also seen for yoga practice, especially those taking into account slow breathing protocols, as demonstrated by the review published by Nivethitha and colleagues [31].…”

Section: Discussionsupporting

confidence: 63%

Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study

et al. 2020

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Nowadays, psychological stress represents a burdensome condition affecting an increasing number of subjects, in turn putting into practice several strategies to cope with this issue, including the administration of relaxation protocols, often performed in non-structured environments, like workplaces, and constrained within short times. Here, we performed a quick relaxation protocol based on a short audio and video, and analyzed physiological signals related to the autonomic nervous system (ANS) activity, including electrocardiogram (ECG) and galvanic skin response (GSR). Based on the features extracted, machine learning was applied to discriminate between subjects benefitting from the protocol and those with negative or no effects. Twenty-four healthy volunteers were enrolled for the protocol, equally and randomly divided into Group A, performing an audio-video + video-only relaxation, and Group B, performing an audio-video + audio-only protocol. From the ANS point of view, Group A subjects displayed a significant difference in the heart rate variability-related parameter SDNN across the test phases, whereas both groups displayed a different GSR response, albeit at different levels, with Group A displaying greater differences across phases with respect to Group B. Overall, the majority of the volunteers enrolled self-reported an improvement of their well-being status, according to structured questionnaires. The use of neural networks helped in discriminating those with a positive effect of the relaxation protocol from those with a negative/neutral impact based on basal autonomic features with a 79.2% accuracy. The results obtained demonstrated a significant heterogeneity in autonomic effects of the relaxation, highlighting the importance of maintaining a structured, well-defined protocol to produce significant benefits at the ANS level. Machine learning approaches can be useful to predict the outcome of such protocols, therefore providing subjects less prone to positive responses with personalized advice that could improve the effect of such protocols on self-relaxation perception.

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Section: Discussionsupporting

confidence: 63%

Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study

et al. 2020

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“…cortisol), specifically the renin-angiotensin system, and the sympathetic nervous system (e.g. improvement in baroreceptor sensitivity) [ [12], [13], [14]]. Variable improvements in functional capacity (e.g.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness and cost-effectiveness of a Yoga-based Cardiac Rehabilitation (Yoga-CaRe) program following acute myocardial infarction: Study rationale and design of a multi-center randomized controlled trial

Chandrasekaran

Kinra

Ajay

et al. 2019

International Journal of Cardiology

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“…Pranayama / Alternate Nostril Breathing significantly influences the parasympathetic nervous system (67). Slow yogic breathing technique produces beneficial effect on cardiovascular and autonomic variables (68). Slow Pranayama improves pulmonary function, and results in relaxed state of mind, better concentration, and improved lung ventilation (69).…”

Section: Discussionmentioning

confidence: 99%

Management of Epileptic Seizures through an Integrated Approach including Yagya Therapy

Mishra

Batham

Verma

et al. 2019

Interdis. J of Yagya Res.

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Background: Epileptic seizure is a neurological condition in which brief to long episodes of vigorous shaking, convulsions, blackouts, fainting, unresponsiveness, jerks, etc. occur in the patients. Current treatment approaches are anti-seizure medicines, which patients are bound to take throughout life. These medications are mostly not able to reverse or eradicate the condition. Purpose: As per the classical texts of Ayurveda, Apasmara is a disease that has similar symptoms as those found in epilepsy; it is of four types wherein either one of the three Doshas, i.e. Vata, Pitta, and Kapha, is predominantly vitiated, or there is an imbalance of all the three Doshas. Hence, the medicinal herbs that balance the respective doshas, are used in the Ayurvedic treatment of epileptic seizures. Various plant extracts or their derivatives have been found to be effective in the treatment of epilepsy. Yagya Therapy provides pulmonary inhalation of medicinal smoke of multiple herbs (generated through oblation in fire along with chanting of Vedic hymns), which have the potential for seizure treatment. Methods: A case report about a male patient, who was suffering from epileptic seizures since past 13 years, as well as other associated ailments has been presented in this article. The patient was prescribed an integrated approach including Yagya Therapy (using an appropriate herbal formulation - hawan samagri), and some other Ayurvedic treatments like decoction of medicinal herbs, Ayurvedic medicines, dietary restrictions, etc. Results: Before starting the integrated approach including Yagya Therapy, the patient used to experience seizure episodes, at least once every 7 to 10 days; however, after starting the integrated approach, the patient did not experience any seizure episode up to his second visit, i.e. for about 54 days. He also experienced relief in other associated ailments like vibration in the entire body. Conclusion: The integrated approach including Yagya Therapy showed encouraging results with regards to the treatment of epileptic seizures and other associated ailments.

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Effects of various Prāṇāyāma on cardiovascular and autonomic variables

Cited by 80 publications

References 47 publications

Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study

Can Machine Learning Predict Stress Reduction Based on Wearable Sensors’ Data Following Relaxation at Workplace? A Pilot Study

Effectiveness and cost-effectiveness of a Yoga-based Cardiac Rehabilitation (Yoga-CaRe) program following acute myocardial infarction: Study rationale and design of a multi-center randomized controlled trial

Management of Epileptic Seizures through an Integrated Approach including Yagya Therapy

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