IoT Enabled Music Therapy System for Regulation of Hypertension and Mental Wellness

Music therapy is widely considered as a useful form of expression and therapy for individuals coping with chronic conditions such as high blood pressure and mental health disorders. However, traditional approaches to music therapy often lack real-time data on user’s physiological states and limited accessibility. The proposed Internet of Things (IoT)-based system integrates a wearable Pulse Rate Sensor (PRS) and Galvanic Skin Response (GSR) sensor for data collection and machine learning algorithms to offer effective music therapy interventions. By incorporating the use of the Random Forest Classifier to analyze the sensor data and detect the presence of stress and continuous passive intervention with the help of ThingSpeak, this system aims to enhance accessibility and effectiveness in managing chronic conditions. Through this innovative approach, individuals can experience reduced stress responses, decreased anxiety levels, lower blood pressure and heart rate, and improved mental well-being.