A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Author:
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference40 articles.
1. Cuff-less continuous measurement of blood pressure using wrist and fingertip photo-plethysmograms: Evaluation and feature analysis;Attarpour;Biomedical Signal Processing and Control,2019
2. LGN-CNN: A biologically inspired CNN architecture;Bertoni;Neural Networks,2022
3. CorNET: Deep learning framework for PPG-based heart rate estimation and biometric identification in ambulant environment;Biswas;IEEE Transactions on Biomedical Circuits and Systems,2019
4. Measurement of arterial blood pressure through single-site acquisition of photoplethysmograph signal;Chakraborty;IEEE Transactions on Instrumentation and Measurement,2021
5. Dual-path mixed domain residual threshold networks for bearing fault diagnosis;Chen;IEEE Transactions on Industrial Electronics,2022
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