An automated coronary artery disease identification using photoplethysmography signals with deep feature representations.
Saved in:
| 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 |
| ISSN: | 1476-8259 |
|---|---|
| DOI: | 10.1080/10255842.2025.2558045 |