Stress is a significant risk factor for various mental disorders and, hence, affects the quality of life. In order to live a stress-free lifestyle, meditation has been practiced since the early eras. The purpose of this work is to design a classification model for EEG signals based on Himalayan Yoga meditation and breath-focused control condition by using various Machine Learning (ML) and Deep...
Meditation and Yoga practices are being adopted and gaining considerable interest as a tool that prevents the occurrence of numerous ailments. Meditation is well prescribed in several old religious manuscripts and has origins in past Indian practices that encourage emotional and personal well-being. Two different classification tasks were performed. One way to identify the mind state allied...
Background: Many psychological and physical health problems are instigated due to existence of stress because of chaotic lifestyle. It is a noteworthy hazardous factor for several cerebral disorders and hence, impacts the superiority of life. To manage the stress, it is important to practice the meditation and yoga. Electroencephalogram (EEG) is the chosen analytical tool in this research as it...
Regular yoga and meditation practices are gaining recognition as tools that help in prevention of various diseases. To have vitality in life, personal well-being and emotional harmony, meditation is one of the best practices. This study focused on identification of brain state associated with Isha Shoonya meditation. Hyperparameter tuning has been used in order to achieve the best accuracy...