Heart failure stratification based on respiratory pattern

This invention describes a system that helps predict when a heart failure patient might get worse. It works by continuously monitoring their breathing patterns, specifically looking for rapid, shallow breaths using a Rapid-Shallow Breathing Index (RSBI). The system then analyzes how much this RSBI changes over multiple days to calculate a risk score for a future worsening heart failure event.

Why it matters: Filed before the widespread availability of low-power AI/ML chips and advanced signal processing libraries. These advancements could now enable more accurate, continuous, and less intrusive real-time respiratory pattern analysis on wearable devices.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedImpedance sensor, signal processing, software algorithms

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