Reconstruction of ABP Waveform from the ECG or PPG Signals Using Enhanced 1-D UNetwork
Author:
Affiliation:
1. AI Healthcare Research Center, Chosun University,Department of IT Fusion Technology,Gwangju,Korea,61452
Funder
IITP
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10210214/10210222/10210223.pdf?arnumber=10210223
Reference26 articles.
1. Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks;ibtehaz;ArXiv Preprint,2020
2. PTT based continuous time non-invasive blood pressure system
3. Cuffless high-accuracy calibration-free blood pressure estimation using pulse transit time;kachuee;2015 IEEE International Symposium on Circuits and Systems (ISCAS),0
4. 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
5. A review of methods for non-invasive and continuous blood pressure monitoring: Pulse transit time method is promising?
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