Arterial Blood Pressure Waveform Estimation from Photoplethysmogram Under Inter-Subject Paradigm Using Subject-Distinguishable Dataset by U-Net and Domain Adversarial Training-Reference-Cited by-同舟云学术

Arterial Blood Pressure Waveform Estimation from Photoplethysmogram Under Inter-Subject Paradigm Using Subject-Distinguishable Dataset by U-Net and Domain Adversarial Training

Published:2023-05-28 Issue: Volume: Page:
ISSN:
Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Yoshizawa Rikuto¹,Yamamoto Kohei²,Ohtsuki Tomoaki²

Affiliation:

1. Graduate School of Science and Technology, Keio University,Kanagawa,Japan

2. Keio University,Department of Information and Computer Science,Kanagawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278863.pdf?arnumber=10278863

Reference25 articles.

1. Novel Deep Convolutional Neural Network for Cuff-less Blood Pressure Measurement Using ECG and PPG Signals

2. Arterial Blood Pressure Estimation Method from Electrocardiogram Signals using U-Net

3. Combined deep cnn-Istm network-based multitasking learning architecture for noninvasive continuous blood pressure estimation using difference in ecg-ppg features;jeong;Scientific Reports,2021

4. MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

5. Homecare-Oriented Intelligent Long-Term Monitoring of Blood Pressure Using Electrocardiogram Signals

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