Prediction of Cardiovascular Disease Events From the Photoplethysmograph Waveform
These results suggest that the PPG features related to systolic performance and that may be related to preclinical heart failure, offer important prognostic information. Further studies to identify the physiological properties to which they relate and to optimize their use in risk prediction are merited.
Authors
- Kevin O’Gallagher (ORCID: https://orcid.org/0000-0003-2218-4763)
- H.J. Godwin
- Phil Chowienczyk (ORCID: https://orcid.org/0000-0003-4507-038X)
- Ajay M. Shah (ORCID: https://orcid.org/0000-0002-6547-0631)
- Marina Cecelja (ORCID: https://orcid.org/0000-0002-7955-7463)
- Abdel Douiri (ORCID: https://orcid.org/0000-0002-4354-4433)
- Ye Li (ORCID: https://orcid.org/0000-0003-2653-2219)
Institutions
- King's College London (GB)
- British Heart Foundation (GB)
- King's College School (GB)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1161/jaha.124.040237
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00