An automated coronary artery disease identification using photoplethysmography signals with deep feature representations.

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Title: An automated coronary artery disease identification using photoplethysmography signals with deep feature representations.
Authors: Lain JK; Department of Electronic Engineering, National Yunlin University of Science and Technology, Douliu, Yunlin, Taiwan., Chen SY; Department of Electronic Engineering, National Yunlin University of Science and Technology, Douliu, Yunlin, Taiwan., Lee CW; School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.; Emergency Department, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan., Lin TK; School of Medicine, Tzu Chi University, Hualien, Taiwan.; Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 Sep 08, pp. 1-12. Date of Electronic Publication: 2025 Sep 08.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-8259
DOI:10.1080/10255842.2025.2558045