Heart failure monitor using gait information

This invention describes a wearable system that monitors heart failure by analyzing how a person walks or balances. It tracks changes in walking patterns over time and combines this with other body measurements, like heart rate, to predict the risk of heart failure worsening.

Why it matters: Filed before widespread adoption of advanced machine learning for predictive health. The complex algorithms needed to detect HF status and predict worsening events from gait trends and multi-sensor data are now significantly more robust and accessible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMultiple sensors, data processing, algorithms, wearable.

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