Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection-Reference-Cited by-同舟云学术

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Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection

Published:2023-12-19 Issue: Volume: Page:
ISSN:
Container-title:2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM)
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Author:

Abrisham Kiana Pilevar¹,Alipour Khalil¹,Tarvirdizadeh Bahram¹,Ghaman Mohammad²

Affiliation:

1. University of Tehran,Advanced Service Robots (ASR) Laboratory,Department of Mechatronics Engineering, Faculty of New Sciences and Technologies,Tehran,Iran

2. Kettering University,Department of Electrical and Computer Engineering,Flint,Michigan,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10412246/10412347/10412455.pdf?arnumber=10412455

Reference39 articles.

1. Invisible numbers: The true extent of noncommunicable diseases and what to do about them,2022

2. Aortic Pulse Wave Velocity Improves Cardiovascular Event Prediction

3. Arterial Stiffness and Cardiovascular Events

4. Prognostic value of aortic pulse wave velocity as index of arterial stiffness in the general population;Nandini,2018

5. Aortic Stiffness Is an Independent Predictor of Primary Coronary Events in Hypertensive Patients

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