Patients with respiratory issues whether from chronic illness, stress, or post-viral recovery often struggle with shallow or erratic breathing. Many existing treatments lack real-time feedback or engagement, limiting their effectiveness. Meanwhile, calming music is known to support relaxation and parasympathetic activity, but it typically isn’t responsive to a person’s current breathing state.
This technology combines magnetic respiratory sensing with AI-driven adaptive music therapy. A small magnet is placed on the chest while a nearby Hall-effect sensor tracks motion during inhalation and exhalation. That data is sent to an AI model, which adjusts a playlist or track's tempo and rhythm in real time to match and guide the patient’s breathing. The result is a closed-loop therapeutic experience that improves consistency, deepens relaxation, and can potentially train the user toward healthier respiratory habits. Ideal for applications ranging from sleep apnea support to anxiety reduction and post-COVID rehab, this technology blends neuroscience, music, and low-cost engineering for scalable impact.
This figure shows the full system workflow for the magnetic music respiratory therapy platform. It includes chest-mounted magnetic sensing, real-time breathing signal extraction, data analysis using peak-to-peak intervals (PPI), and adaptive music playback through AI control. The feedback loop continuously tunes music to help stabilize and improve breathing patterns.