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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.
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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  Data: <searchLink fieldCode="AU" term="%22Lin+CN%22">Lin CN</searchLink>; China Medical University, Taichung, Taiwan.; Department of Chinese Medicine, Dalin Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+CC%22">Wang CC</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+PC%22">Chao PC</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+JJ%22">Lin JJ</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+CP%22">Chang CP</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lu+HM%22">Lu HM</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+PW%22">Lin PW</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ko+PY%22">Ko PY</searchLink>; China Medical University, Taichung, Taiwan.; Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101549006 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-042X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221664042X%22">1664042X </searchLink><i>NLM ISO Abbreviation: </i>Front Physiol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fphys.2026.1779262
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      – Code: eng
        Text: English
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      – TitleFull: Interpretable photoplethysmography-based machine-learning model for noninvasive assessment of systolic blood pressure.
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              Text: 2026 Jun 01
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              Y: 2026
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