Aecopd biomarker analysis system and method
By developing the AECOPD biomarker analysis system and using prediction models to analyze lung respiratory sound feature data, the problem of the existing technology being unable to effectively predict AECOPD is solved, the timeliness and accuracy of predictions is improved, and the patient's life safety is ensured.
WO2025044190A1PCT designated stage expired Publication Date: 2025-03-06WEST CHINA HOSPITAL SICHUAN UNIV +1
Patent Information
- Application Number
- PCT/CN2024/084310
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-11-09
- Filing Date
- 2024-03-28
- Publication Date
- 2025-03-06
Smart Images
Figure CN2024084310_06032025_PF_FP_ABST
Abstract
The present invention relates to an AECOPD biomarker analysis system and method. The system comprises: a collection module, which is configured to collect a lung breath sound of a subject; a feature extraction module, which is configured to extract lung breath sound feature data from the lung breath sound collected by the collection module; an analysis module, which includes a prediction model, and performs time-series data analysis on the lung breath sound and / or the lung breath sound feature data of the subject by using the prediction model; and an output module, which is in signal connection with the analysis module, wherein the output module is configured to: on the basis of a time-series data analysis result of the lung breath sound that is obtained by the analysis module, output a prediction result of a disease development path of the subject within a future period of time and a suggestion for the subject. The present invention can overcome the difficulty in the prior art of it being impossible to exclude, when AECOPD is predicted, interference factors introduced during self-testing of a subject.
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Citation Information
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