Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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STE PS_C6: Special Session MusicAI 1/2 Location: Room U I3 Session Chair: Fulvia Anca Constantin, Gheorghe Dima National Music Academy Special Session: Artificial Intelligence and Music (MusicAI) | |
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9:18am - 9:36am
AI-Enhanced Receptive Music Therapy for Hypertension Computational Analysis of Musical Features and Cardiovascular Outcomes 1: Transilvania University of Brasov, Romania; 2: Ovidius University of Constanta, Romania Hypertension remains a highly prevalent cardiovascular condition, strongly influenced by autonomic imbalance and chronic stress exposure. Receptive music therapy has gained recognition as a supportive non-pharmacological strategy capable of modulating autonomic and emotional responses, yet ob-jective personalization remains limited. This study investigated the clinical effects of receptive music therapy in adults with hypertension and applied ar-tificial intelligence–based acoustic analysis to identify musical characteristics associated with cardiovascular improvement. A total of 134 hypertensive adults were followed for six months, engaging in regular home-based listening, while a highly adherent subgroup additionally participated in supervised sessions with physiological monitoring. Blood pressure and metabolic parameters were assessed longitudinally. Musical stimuli were analyzed using a combined AI framework including acoustic feature extraction, unsupervised clustering, and supervised regression model-ing. Significant reductions in systolic and diastolic blood pressure, alongside helpful lipid profile changes, were observed exclusively among adherent par-ticipants. Therapeutic musical profiles were defined by slow tempo, harmon-ic consonance, rhythmic stability, and reduced timbral complexity, showing strong associations with parasympathetic activation. These findings support AI-enhanced receptive music therapy as a viable and scalable adjunct in hypertension management, enabling data-driven person-alization of therapeutic listening strategies. | |
