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28 August 2023 Cuffless and continuous blood pressure estimation from single-channel photoplethysmography signal using end-to-end deep learning models
Zhiguo Yu
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Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127241K (2023) https://doi.org/10.1117/12.2687882
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China
Abstract
This paper evaluated the cuffless and continuous blood pressure measurement performance of single-channel photoplethysmography (PPG) signals using different end-to-end deep learning models on the same dataset. The proposed a signal quality detection algorithm to effectively remove unusable signal segments in PPG signals. Popular end-to-end deep learning models were validated on various blood pressure and PPG signals obtained from the intensive care unit database. The experimental results showed that InceptionV1's multi-scale convolutional network achieved the best performance.
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Zhiguo Yu "Cuffless and continuous blood pressure estimation from single-channel photoplethysmography signal using end-to-end deep learning models", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127241K (28 August 2023); https://doi.org/10.1117/12.2687882
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KEYWORDS
Blood pressure
Deep learning
Signal detection
Data modeling
Feature extraction
Photoplethysmography
Pulse signals
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