Cuffless Continuous BP Monitoring from Photoplethysmography signals using UNET and Attention Mechanism-Reference-Cited by-同舟云学术

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Cuffless Continuous BP Monitoring from Photoplethysmography signals using UNET and Attention Mechanism

Published:2024-03-02 Issue: Volume: Page:53-58
ISSN:
Container-title:2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)
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Author:

Riaz Zainab¹,Islam Md Shohidul¹,Basir Samiul²,Chan Kannie Wai Yan³,Yu Xinge³

Affiliation:

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

2. Islamic University,Department of Computer Science and Engineering,Kushtia,Bangladesh

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

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560475/10561258/10561268.pdf?arnumber=10561268

Reference18 articles.

1. A non-invasive continuous cuffless blood pressure estimation using dynamic Recurrent Neural Networks

2. NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals

3. Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model

4. Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models

5. Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only

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