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Bhavna P. Harne

Bio: Bhavna P. Harne is an academic researcher from Shri Sant Gajanan Maharaj College of Engineering. The author has contributed to research in topics: Meditation & Relaxation (psychology). The author has an hindex of 3, co-authored 3 publications receiving 21 citations.

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Journal ArticleDOI
TL;DR: The study argues for the potential role of loud ‘OM’ chanting in offering relaxation, and provides a new perspective of meditation to the naive meditators, which may help to demystify meditation and encourage those considering this as beneficial practice.
Abstract: Mantra meditation is easy to practice. “OM” Mantra is the highest sacred symbol in Hinduism. The present study investigated the temporal dynamics of oscillatory changes after OM mantra meditation. Twenty-three naive meditators were asked to perform loud OM chanting for 30 min and the EEG were subsequently recorded with closed eyes before and after it. To obtain new insights into the nature of the EEG after OM chanting, EEG signals were analyzed using spectral domain analysis. Statistical analysis was performed using repeated measures of analysis of variance. It did not reveal any specific band involvement into OM mantra meditation. But significantly increase in theta power was found after meditation when averaged across all brain regions. This is the main effect of OM mantra meditation. However, the theta power showed higher theta amplitude after condition at all regions in comparison to the before condition of meditation. Finding was similar to other studies documenting reduction in cortical arousal during a state of relaxation. The study argues for the potential role of loud ‘OM’ chanting in offering relaxation. It provides a new perspective of meditation to the naive meditators. This information may help to demystify meditation and encourage those considering this as beneficial practice.

21 citations

Journal ArticleDOI
TL;DR: In this paper, a survey of the relevant work done in the field of Om meditation is presented, which includes a large number of papers covering the research previously conducted by many researchers, their results and different techniques adopted to study the effect of om meditation on human beings.
Abstract: Meditation and yoga both have positive effects on physical, as well as mental health. Om mantra chanting, a simple and easy to practice, also comes under the aspect of meditation. The “Om” mantra is also considered as the very name of the absolute. Om meditation not only affects the various parts of the brain, such as pre-frontal cortex, vagus nerve, amygdala and others but also affects the heart rate and respiratory rate. Considering the healing effects of Om meditation, through this paper, we are trying to explore all the relevant work done in the field of Om meditation. The survey includes a large number of papers covering the research previously conducted by many researchers, their results and different techniques adopted to study the effect of Om meditation on human beings. Studies on Om meditation are categorized under four different heads: Neuroimaging studies, EEG studies, evoked potentials studies and other methods studies. Even though the existing research evidenced capability of Om meditation in curing anxiety and depression, more rigorous studies with better design, with larger sample size and with different control groups are required. Especially the need to explore untouched research areas of Loud Om meditation using EEG is suggested in the paper. Furthermore, future research directions are also suggested.

13 citations

Proceedings ArticleDOI
01 Dec 2019
TL;DR: Results show the significant changes in the delta band which represent the brain in deep sleep which gives the experience of deep sleep in Om mantra meditation.
Abstract: Meditation can significantly contribute to improving physical and mental health in modern stressful life. "OM" mantra is very easy to practice for meditation .This study is undertaken to classify the EEG band to observe abrupt changes in band as an effect of Om mantra meditation. Twenty-three naive meditators were experimented to chant OM mantra for 30 min and EEG signal recorded before and after meditation. The stationary wavelet transform is used to exact five bands from the EEG. The different statistical features were calculated. SVM classifier with Radial Basis Kernel is employed to classify the band. Results show the significant changes in the delta band which represent the brain in deep sleep. Thus OM meditation gives the experience of deep sleep. Thus study can be helpful to give new direction towards the meditation.

12 citations


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01 Jan 1989
TL;DR: The results suggest that the relaxation response elicited by autogenic training produces significant acute changes in EEG activity and a characteristic spectral pattern; the results also suggest that focusing attention on a repetitive, internal stimulus is a key element in Benson's relaxation response model.
Abstract: This study examined the effects of the relaxation response, elicited by autogenic training, on central nervous system (CNS) activity. We used computerized spectral analysis of EEG activity as a dependent measure. After baseline EEG data were obtained for all subjects, the experimental group practiced standard autogenic exercises for 15 experimental sessions with home practice. The control subjects received the same number of sessions under identical conditions, except that they listened to a pleasant radio show without home practice. Subjects were then posttested to assess the acute and chronic effects of autogenic training and the relaxation response on CNS activity. The results indicated significant acute effects differences between groups; the experimental group showed greater increases in theta and greater decreases in alpha percent total power. The results suggest that the relaxation response elicited by autogenic training produces significant acute changes in EEG activity and a characteristic spectral pattern; the results also suggest that focusing attention on a repetitive, internal stimulus is a key element in Benson's relaxation response model.

51 citations

01 Jan 2016
TL;DR: The science of yoga is available in our book collection and an online access to it is set as public so you can get it instantly as discussed by the authors. But it is difficult to find a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their computer.
Abstract: Thank you for reading science of yoga. Maybe you have knowledge that, people have search hundreds times for their favorite readings like this science of yoga, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their computer. science of yoga is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the science of yoga is universally compatible with any devices to read.

36 citations

Journal ArticleDOI
TL;DR: The main EEG signal processing techniques and how they have been translated to the meditation field until April 2020 are described and examined, examining in detail the limitations/assumptions of these techniques and highlighting some good practices.
Abstract: Meditation practices, originated from ancient traditions, have increasingly received attention due to their potential benefits to mental and physical health. The scientific community invests efforts into scrutinizing and quantifying the effects of these practices, especially on the brain. There are methodological challenges in describing the neural correlates of the subjective experience of meditation. We noticed, however, that technical considerations on signal processing also don't follow standardized approaches, which may hinder generalizations. Therefore, in this article, we discuss the usage of the electroencephalogram (EEG) as a tool to study meditation experiences in healthy individuals. We describe the main EEG signal processing techniques and how they have been translated to the meditation field until April 2020. Moreover, we examine in detail the limitations/assumptions of these techniques and highlight some good practices, further discussing how technical specifications may impact the interpretation of the outcomes. By shedding light on technical features, this article contributes to more rigorous approaches to evaluate the construct of meditation.

24 citations

Journal ArticleDOI
TL;DR: This study proposed a signal preprocessing and feature extraction method for EEG classification that consists of removing the artifacts by using Discrete Fourier Transform (DFT) as an ideal filter for specific frequencies.
Abstract: A crucial part of the brain-computer interface is a classification of electroencephalography (EEG) motor tasks. Artifacts such as eye and muscle movements corrupt EEG signal and reduce the classification performance. Many studies try to extract not redundant and discriminative features from EEG signals. Therefore, this study proposed a signal preprocessing and feature extraction method for EEG classification. It consists of removing the artifacts by using discrete fourier transform (DFT) as an ideal filter for specific frequencies. It also cross-correlates the EEG channels with the effective channels to emphases the EEG motor signals. Then the resultant from cross correlation are statistical calculated to extract feature for classifying a left and right finger movements using support vector machine (SVM). The genetic algorithm was applied to find the discriminative frequencies of DFT for the two EEG classes signal. The performance of the proposed method was determined by finger movement classification of 13 subjects and the experiments show that the average accuracy is above 93 percent.

24 citations

Journal ArticleDOI
TL;DR: An amazing variety of meditation techniques is found, which considerably surpasses previous collections and might be of value for future scientific investigations.
Abstract: Meditation is an umbrella term for a vast range of contemplative practices. Former proposals have struggled to do justice to this variety. To our knowledge, there is to date no comprehensive overview of meditation techniques spanning all major traditions. The present studies aimed at providing such a comprehensive list of meditation techniques. In a qualitative study, we compiled a collection of 309 meditation techniques through a literature search and interviews with 20 expert meditators. Then, we reduced this collection to 50 basic meditation techniques. In a second, quantitative study, 635 experienced meditators from a wide range of meditative backgrounds indicated how much experience they had with each of these 50 meditation techniques. Meditators’ responses indicated that our choice of techniques had been adequate and only two techniques had to be added. Our additional statistical and cluster analyses illustrated preferences for specific techniques across and within diverse traditions as well as sets of techniques commonly practiced together. Body-centered techniques stood out in being of exceptional importance to all meditators. In conclusion, we found an amazing variety of meditation techniques, which considerably surpasses previous collections. Our selection of basic meditation techniques might be of value for future scientific investigations and we encourage researchers to use this set.

22 citations