Interpretable photoplethysmography-based machine-learning model for noninvasive assessment of systolic blood pressure.
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| Title: | Interpretable photoplethysmography-based machine-learning model for noninvasive assessment of systolic blood pressure. |
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| Authors: | Lin CN; China Medical University, Taichung, Taiwan.; Department of Chinese Medicine, Dalin Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan., Wang CC; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Chao PC; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Lin JJ; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Chang CP; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Lu HM; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Lin PW; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan., Ko PY; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan. |
| Source: | Frontiers in physiology [Front Physiol] 2026 Jun 01; Vol. 17, pp. 1779262. Date of Electronic Publication: 2026 Jun 01 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-042X |
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| DOI: | 10.3389/fphys.2026.1779262 |
