This system is an innovative digital health solution deeply integrating Brain-Computer Interface (BCI) technology with music therapy theory. It aims to achieve precise quantification and dynamic optimization of music intervention effects through real-time EEG and physiological signal monitoring. Its core technology relies on a high-precision EEG acquisition module that synchronously tracks and reflects 7 key intervention indicators (e.g., stress hormone levels, heart rate variability, brainwave band activity, emotional state, focus, motor coordination, and sleep quality) at millisecond-level time resolution, providing dynamic data support for the scientific evaluation of music therapy effects.

In terms of music mode design, the system pre-sets 3 classic intervention schemes. In addition, the system supports a control experience mode, allowing users to switch between un intervention and intervention states, and through data comparison under the same scenario (e.g., changes in brainwave power spectrum, HRV indicators), users can intuitively verify the actual effects of music therapy, avoiding the misunderstanding of generalizing music preferences, and promoting the transformation of digital therapy from experience-driven to data-driven, standardized development.

The system provides a scientific basis through multimodal data fusion and millisecond-level feedback capability, while also building a verifiable practical framework for personal daily self-regulation (e.g., sleep improvement, stress reduction training), marking an important milestone in the cross-application of brain science and music therapy.