Development and validation of a deep learning-based model for estimating stroke volume and blood pressures simultaneously using electrocardiogram and photoplethysmogram
- DOI
- 10.1177/20552076261479434
- Published
- 2026-02
- Container
- DIGITAL HEALTH
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/20552076261479434,
title = {Development and validation of a deep learning-based model for estimating stroke volume and blood pressures simultaneously using electrocardiogram and photoplethysmogram},
author = {Hyun-Lim Yang and Seong-A Park and Hyeonhoon Lee and Chul-Woo Jung and Ho-Geol Ryu and Hyung-Chul Lee},
year = {2026},
journal = {DIGITAL HEALTH},
doi = {10.1177/20552076261479434},
url = {https://doi.org/10.1177/20552076261479434}
}RIS
TY - JOUR TI - Development and validation of a deep learning-based model for estimating stroke volume and blood pressures simultaneously using electrocardiogram and photoplethysmogram AU - Hyun-Lim Yang AU - Seong-A Park AU - Hyeonhoon Lee AU - Chul-Woo Jung AU - Ho-Geol Ryu AU - Hyung-Chul Lee PY - 2026 JO - DIGITAL HEALTH DO - 10.1177/20552076261479434 UR - https://doi.org/10.1177/20552076261479434 ER -
APA
Yang, H., Park, S., Lee, H., Jung, C., Ryu, H., & Lee, H. (2026). Development and validation of a deep learning-based model for estimating stroke volume and blood pressures simultaneously using electrocardiogram and photoplethysmogram. DIGITAL HEALTH. https://doi.org/10.1177/20552076261479434
Source records
- crossref · retrieved 2026-09-25T23:47:39.791Z