Identifying various music groups for stress reduction

Stress is increasingly becoming recognized as one of the primary factors affecting our health, and so there is a need to regulate everyday stress and prevent long-term stress. This research work concentrates on detection of stress using EEG signals and its reduction through music. Stress inducing tool MAT (Mental Arithmetic Task) is designed to induce mild stress based on MIST (Montreal Imaging Stress Tool). Stress detection is achieved through Deep Convolutional Neural Network (DCNN) using four Criterias which are designed on basis of paired t-test. Best Neural Network Models are chosen to check for which Features, EEG channels, EEG band and music groups, helps to convert stress condition to normal condition. Neural network model 6 and 7 are contributing more to bring subjects to normal condition. Features identifying normal condition are Normalized Absolute Power and Normalized Peak Power. All six channels, i.e., FP1, FP2, AF7, AF8, F7 and F8, are contributing. But mainly FP2 and AF7 have major contribution to bring in Normal condition. Music Group 1, 4 and 5 are helpful in reducing stress. Delta and Theta band contribute 100 percent to classify stress, whereas Beta and Alpha contributes 85.71 percent and Gamma’s contribution is 71.43. Mainly Music Group 1, which has music of relaxation and meditation, is helpful in reducing stress. Music Group 4 consists of Chakra—Activation and Balance, whereas Music Group 5 consists of Positive Energy for emotional and physical healing.