Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection
In: 11th RSI International Conference on Robotics and Mechatronics (ICRoM); (2023-12-19) S. 72-77
Konferenz
Zugriff:
Titel: |
Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection
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Autor/in / Beteiligte Person: | Abrisham, K.P. ; Alipour, K. ; Tarvirdizadeh, B. ; Ghamari, M. |
Quelle: | 11th RSI International Conference on Robotics and Mechatronics (ICRoM); (2023-12-19) S. 72-77 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISBN: | 979-8-3503-0810-5 (print) |
ISSN: | 2572-6889 (print) |
DOI: | 10.1109/ICRoM60803.2023.10412455 |
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