Sensor-based pain management systems and methods

This invention describes a system that helps manage a person's pain by combining information from two types of sensors. It uses a motion sensor to track a patient's daily physical activity and a physiological sensor to monitor body signals like heart rate. The system learns a patient's normal activity routine, and if it detects a change, such as reduced movement, it adjusts how it collects physiological data to generate a pain score. This score can then be used to automatically adjust a pain relief therapy, such as neuromodulation.

Why it matters: Filed before widespread adoption of advanced machine learning for personalized health data analysis. The ability to accurately establish dynamic baselines and detect subtle activity pattern changes for adaptive physiological sensing has improved significantly, potentially leading to more precise pain management.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, physiological sensors, neuromodulation interface.

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