Convolutional Autoencoder for Real-Time PPG Based Blood Pressure Monitoring Using TinyML
Author:
Affiliation:
1. United Arab Emirates University,College of Engineering,Electrical and Communication Engineering Department,Al Ain,Abu Dhabi,United Arab Emirates,15551
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10378847/10378878/10378901.pdf?arnumber=10378901
Reference18 articles.
1. High Blood Pressure and Cardiovascular Disease
2. Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models
3. A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals
4. Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model
5. Dual-site Photoplethysmography Sensing for Noninvasive Continuous-time Blood Pressure Monitoring Using Artificial Neural Network
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. BPWave: An advanced Deep Learning Framework for Continuous Non-Invasive Cuffless Blood Pressure Estimation and Hypertension Detection;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
2. An Integrated High-Gain Wide–Dynamic Range Photoplethysmography Sensor for Cardiac Health Monitoring;IEEE Sensors Journal;2024-04-01
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