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Iranian Journal of Medical Physics، جلد ۲۱، شماره ۳، صفحات ۱۷۶-۱۸۳
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عنوان انگلیسی The Effect of Yoga Meditation and Metronomic Breathing on Physiological Parameters: A Study of Heart Rate Variability
چکیده انگلیسی مقاله Introduction: Despite the pervading application of different meditation techniques in treating physical and mental ailments, the effects on neuroautonomic function and physiological parameters have not been extensively researched. This study examined some indices from empirical mode decomposition (EMD) of heart rate variability (HRV) signals during meditation. Specifically, this manuscript aimed to evaluate the modes existing in HRV signals during Yoga meditation and compare them with the corresponding indices before Yoga, metronomic and spontaneous breathing. The validity of the HRV was studied using four Yoga meditators, eight healthy subjects, and eight volunteers during metronomic breathing.Material and Methods: Intrinsic mode functions (IMFs) and their power spectrums were characterized utilizing entropy and statistical measures. Moreover, the frequency bands of HRV signals were extracted using wavelet transform to obtain more insight into autonomic differences. Wilcoxon test was used for statistical evaluations.Results: Our results revealed that there are significant differences in very-low-frequency and high-frequency indices between Yoga and other conditions (p < 0.05). The most variation in IMFs of HRV signals occurred during Yoga, in which the range of six IMF values was between 15 and 63. Additionally, the IMF patterns in both before Yoga and Metronomic breathing were similar. Significantly lower IMF indices were obtained for normal breathing (p < 0.05). The average wavelet entropy value of IMFs is about 106 for metronomic breathing and before Yoga, -0.5×106 for Yoga, and -2.5×106 for normal breathing.Conclusion: The proposed EMD-based measures can be efficiently exploited in differentiating the HRV signals of meditators.
کلیدواژه‌های انگلیسی مقاله Nonlinear Dynamics Heart Rate Wavelet Analysis Meditation, Statistics Nonparametric
نویسندگان مقاله | Atefeh Goshvarpour
Department of Biomedical Engineering, Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.


| Ateke Goshvarpour
Department of Biomedical Engineering, Imam Reza International University, Mashhad, Razavi Khorasan, Iran
نشانی اینترنتی https://ijmp.mums.ac.ir/article_22310.html
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Paper
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