International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Student Project | Information Technology | India | Volume 12 Issue 1, January 2023

Music Therapy Using EEG Brain Wave Signals

Aditya Narayanan B | Vishnu A [3] | Yukan A S | M.R. Sumalatha | Nandakumar C

Abstract: Music is an emotion. Music helps us to feel things in a better way by interacting with our senses. More than 75% of people listen to music every single day and with the latest advances in technology, it has become much simpler and easier for a user to listen to music, simply via a mobile app. It has been found that people having certain disorders like anxiety, depression, stress, etc are in need of music therapy which could help them relax and make them calm. Music therapy is an evidence-based clinical use of music interventions to address physical, emotional, cognitive, and social needs of individuals. Music therapy app provides a platform for individuals to access music therapy treatment remotely, at their own convenience. Music therapy app have the potential to improve the accessibility and effectiveness of music therapy for a wider population. In this paper, we have analyzed the EEG brain wave signals of the user and developed a Music Therapy app where the user could listen to any one of the moods like Attention, Meditation, and Sleep which is based on a self-learning model.

Keywords: Music therapy, Mobile App, Machine learning, Android Studio

Edition: Volume 12 Issue 1, January 2023,

Pages: 645 - 650

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Aditya Narayanan B, Vishnu A, Yukan A S, M.R. Sumalatha, Nandakumar C, "Music Therapy Using EEG Brain Wave Signals", International Journal of Science and Research (IJSR), Volume 12 Issue 1, January 2023, pp. 645-650,

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