Systems and methods for identifying user body position during respiratory therapy

This invention describes a system that helps users of respiratory therapy by monitoring their body position during sleep. It uses a sensor to collect data about the user's breathing, such as how fast air is flowing or the pressure. A computer then analyzes this breathing data to figure out what position the user is in, and based on that, it triggers a specific action within the therapy system.

Why it matters: Filed before significant advancements in machine learning for physiological data. The software logic to identify body position from airflow data is now more robust.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSpecialized airflow sensor, software logic

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