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公开(公告)号:US20230355119A1
公开(公告)日:2023-11-09
申请号:US17736916
申请日:2022-05-04
Applicant: Khalifa University of Science and Technology
Inventor: Mohanad A. R. ALKHODARI , Ahsan H. KHANDOKER , Leontios J. HADJILEONTIADIS , Herbert F. JELINEK
CPC classification number: A61B5/02405 , A61B5/742 , A61B5/7475 , A61B5/7275 , G16H50/20
Abstract: Techniques for determining heart rate variability (HRV) and subject data polar images are described. The techniques include determining data of a subject over a period of time that includes time segments and generating HRV feature values from the HRV data. Each one of the time segments is associated with at least one of the HRV feature values. The techniques also include generating, based on the HRV feature values and the time segments, a polar representation of the HRV data and outputting the polar representation as an image. The techniques further include inputting subject data (e.g., demographic data and/or clinical data of a subject) and using them to generate a filled-in color coded image. The generated image can be used further in a deep learning model to predict a heart failure category and decide on time segments or regions within the image that contribute toward the decision.