一种基于RR间期的呼吸率计算方法及系统
By interpolating, filtering, and applying dynamic thresholding to the RR interval signal, and combining this with the Burger algorithm to extract the respiratory rate, the problem of weak noise resistance in existing technologies is solved, achieving high-precision and stable respiratory rate monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- RUIJIN HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
- Filing Date
- 2026-05-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing respiratory rate monitoring algorithms based on the RR interval have weak resistance to time-domain interference and are easily affected by noise, artifacts and arrhythmias, resulting in unstable monitoring accuracy.
By performing linear interpolation, dual-band filtering, power spectrum estimation, and dynamic threshold smoothing on the RR interval signal, and combining the Burger algorithm to extract the respiratory rate, we can suppress respiratory rate mutations and anomalies, thereby improving monitoring accuracy and stability.
It effectively distinguishes between the resonant pseudo-peaks in the power spectrum and the true respiratory rate frequency, suppresses abrupt changes and anomalies in the respiratory rate calculation results, and improves the accuracy and stability of respiratory rate detection, making it suitable for non-invasive continuous monitoring in multiple scenarios.
Smart Images
Figure CN122208121B_ABST