基于传感器的肺通气血流分布实时监测方法及评估系统
By collecting and processing blood oxygen saturation, airflow rate, and intrathoracic pressure data using multimodal sensors, and combining respiratory phase segmentation and pathological feature databases, real-time, continuous, and non-invasive monitoring of pulmonary ventilation and blood flow distribution is achieved. This addresses the shortcomings of existing technologies and provides early detection and accurate assessment of pulmonary function abnormalities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PEKING UNIVERSITY THIRD HOSPITAL (THE THIRD CLINICAL MEDICAL SCHOOL OF PEKING UNIVERSITY)
- Filing Date
- 2025-09-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for monitoring pulmonary ventilation and blood flow distribution are inadequate in terms of temporal resolution, continuous monitoring capability, and acquisition of spatial distribution information. They are difficult to achieve real-time, continuous, and non-invasive assessment of pulmonary ventilation and blood flow distribution, making early detection and precise intervention of respiratory diseases challenging.
Blood oxygen saturation, airflow rate, and intrathoracic pressure data are collected by multimodal sensors. Time synchronization processing and sliding window filtering are performed to extract time-frequency domain feature parameters. Combined with respiratory phase segmentation and pathological feature database, feature decomposition and coupling model optimization are carried out. Finally, abnormal areas are located based on the lung pathological propagation network.
It enables real-time, continuous, and non-invasive monitoring of lung ventilation and blood flow distribution, allowing for early detection of functional abnormalities and providing accurate functional assessment of lung regions. It is suitable for intensive care and rehabilitation monitoring in a bedside setting.
Smart Images
Figure CN121242543B_ABST