SVM classification of EEG signal to analyze the effect of OM Mantra meditation on the brain

Harne, Bhavna P.; Bobade, Yogini; Dhekekar, Ram Shankarrao; Hiwale, Anil

doi:10.1109/indicon47234.2019.9030339

Cited by 11 publications

(8 citation statements)

References 19 publications

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“…One resting-state fMRI study revealed that chanting "OM" reduced outputs from the anterior cingulate, insula, and orbitofrontal cortices 24 . Another EEG study found that "OM" meditation increased delta waves, inducing the experience of relaxation and deep sleep 25 . However, these methods could not precisely investigate the specific eventrelated changes after religious chanting.…”

Section: Physiological Results: Heart Ratementioning

confidence: 99%

Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting

Sik

Halkias

Chang

et al. 2021

JoVE

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Section: Physiological Results: Heart Ratementioning

confidence: 99%

Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting

Sik

Halkias

Chang

et al. 2021

JoVE

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“…One of the most popular machine learning techniques is SVM. It is a statistical learning theory based on the classification method [16,17]. SVM is applied in many applications like EEG signal classification, cancer identification, bioinformatics, seizure prediction, face recognition, and speech disorder.…”

Section: Classification Methodsmentioning

confidence: 99%

Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm

Najeeb¹,

Rikabi²,

Ali³

2021

TELKOMNIKA

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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.

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“…Evidence indicates the practice fosters long-term psychological benefits such as the development of resilience, healthy coping, and lower depressive symptoms (Wolf & Abell, 2003), effective management of mental health conditions including post-traumatic stress disorder, and improvement in chronic illnesses such as AIDS and cancer (Oman et al, 2022). The practice also induces a deep relaxation state in the brain and body (Harne et al, 2019).…”

Section: Hindu Practices To Enhance Emotional Mental and Spiritual We...mentioning

confidence: 99%

Positive Psychology and Hinduism

Singh

Raina

Oman

2022

Handbook of Positive Psychology, Religion, and Spirituality

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Hinduism encompasses considerable heterogeneity within its many schools of thoughts and practice. However, the common thread that binds these multiple perspectives is this handbook’s main topic of inquiry—human well-being and happiness. Hindu thought has always deliberated on the process, nature, conditions, and practices that lead to a fulfilled life. In this chapter, we begin by explaining Hinduism’s core beliefs and tenets that guide daily living. Many extant psychological publications on Hinduism explicate psychological ideas embedded in tradition. We draw comparisons between the Hindu worldview and broadly Western-based positive psychology concepts like well-being and the self. The chapter also expands on select Hindu models of human flourishing. The chapter further explains the recent empirical evidence on Hindu constructs, including well-being enhancing strategies, in relation to several positive psychology constructs such as well-being and flourishing. Finally, in the light of the reviewed empirical evidence, we discuss some directions and recommendations for future research at the intersections of Hindu religious literature and positive psychology.

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SVM classification of EEG signal to analyze the effect of OM Mantra meditation on the brain

Cited by 11 publications

References 19 publications

Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting

Modulation of the Neurophysiological Response to Fearful and Stressful Stimuli Through Repetitive Religious Chanting

Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm

Positive Psychology and Hinduism

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