A Hybrid Deep Learning Approach for Cuff-less Noninvasive Continuous Blood Pressure Estimation Based on Photoplethysmography-Reference-Cited by-同舟云学术

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A Hybrid Deep Learning Approach for Cuff-less Noninvasive Continuous Blood Pressure Estimation Based on Photoplethysmography

Published:2024-03-02 Issue: Volume: Page:35-40
ISSN:
Container-title:2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)
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Author:

Ali Md Sadek¹,Islam Md Shohidul¹,Chan Raymond Hon-Fu²,Chan Kannie Wai Yan³,Ho Derek⁴

Affiliation:

1. Hong Kong Centre for Cerebrocardiovascular Health Engineering (COCHE),Hong Kong,China

2. City University of Hong Kong and Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE),Department of Mathematics,Hong Kong,China

3. City University of Hong Kong and Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE),Department of Biomedical Engineering,Hong Kong,China

4. City University of Hong and Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE),Department of Materials Science and Engineering,Hong Kong,China

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560475/10561258/10561418.pdf?arnumber=10561418

Reference19 articles.

1. Cuffless Blood Pressure Measurement Using Smartwatches: A Large-Scale Validation Study

2. Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time

3. Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice

4. Cuff-Less Blood Pressure Estimation Using Pulse Waveform Analysis and Pulse Arrival Time

5. Nonlinear Cuffless Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time

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