ArticleFrontiers in psychology2025
AI-driven music intervention based on five-tone theory for anxiety: a preliminary pre-post feasibility study.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Effects of music-based interventions on test anxiety in students: a systematic review and meta-analysis.Frontiers in psychology · 2026Pooled it
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Abstract
Music therapy, as a pivotal non-pharmacological intervention, faces a critical challenge in designing personalized treatment protocols. Current clinical applications of the traditional Chinese five-tone theory to explore the relationship between music and emotion lack empirical validation and scalable implementation. This study integrates the five-tone theory with artificial intelligence (AI) to develop an AI-driven music modulation system based on real-time physiological feedback, aiming to examine its efficacy in alleviating anxiety symptoms and modulating the autonomic nervous system. A single-group pretest-posttest design was employed, with 40 university students exhibiting moderate anxiety (M_age = 21.5) enrolled as participants. Each underwent a 20-min intervention session. The system employed the Jue tone as the foundational pitch, with real-time dynamic modulation guided by heart rate variability (HRV) and electrodermal activity (EDA) data. The Hamilton Anxiety Rating Scale (HAMA), high-frequency HRV (HF-HRV), and skin conductance level (SCL) were employed in pre-post measurements. Post-intervention statistical analyses revealed a statistically significant reduction in HAMA scores (M_pre = 18.2 vs. M_post = 11.5,
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