Method and apparatus for generating a smoking history index
Capnography data is used to generate a smoking history indicator through feature extraction and machine learning, addressing the challenge of assessing smoking exposure's impact on respiratory health and informing treatment strategies.
JP2026507005APending Publication Date: 2026-02-27TIDALSENSE LTD
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Patent Information
- Application Number
- JP2025548358
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-02-21
- Filing Date
- 2024-02-21
- Publication Date
- 2026-02-27
AI Technical Summary
Technical Problem
Determining the effects of lifetime smoking exposure and its severity on respiratory health has proven difficult, making it challenging to inform treatment choices and track changes in cardiopulmonary status following smoking cessation.
Method used
Utilizing capnography data to generate a smoking history indicator by extracting features from respiratory waveforms, such as lung age and pack-years, and employing machine learning models to estimate smoking history decoupled from cardiorespiratory disease indicators.
Benefits of technology
Enables accurate estimation of smoking history, allowing for informed treatment decisions and tracking the effectiveness of smoking cessation and treatment, as well as the progression of cardiopulmonary diseases.
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Smart Images
Figure 2026507005000001_ABST
Abstract
1. A method for generating an indicator of smoking history from one or more capnograms generated from a user, the method comprising: obtaining one or more respiratory waveforms from the one or more capnograms generated from the user; extracting one or more features from the one or more respiratory waveforms; and generating an indicator of smoking history based on the one or more features.
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