The photoplethysmogram (PPG) signal is an attractive candidate for unobtrusive blood pressure (BP) monitoring, as it is widely measured by wrist-worn devices.
Feb 24, 2024 · Bibliographic details on PPG2BP: An End-to-End Cuffless Blood Pressure Estimation Model Using Single Channel Photoplethysmography.
PPG2BP utilizes a convolutional neural network to extract features adaptively and can perform BP estimation using only photoplethysmography (PPG) signals. In ...
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Article "PPG2BP: An End-to-End Cuffless Blood Pressure Estimation Model Using Single Channel Photoplethysmography" Detailed information of the J-GLOBAL is ...
Oct 10, 2024 · We developed a training approach that only requires 9-minutes of personal PPG signal recordings and mixed with other PPG data from our recruited 364 subjects.
Deep-learning-based blood pressure estimation using multi channel ...
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Jun 8, 2023 · This study presents a new BP estimation system that measures PPG signals under progressive finger pressure, making the system relatively robust to errors ...
PPG2ABP is presented, a two-stage cascaded deep learning-based method that manages to estimate the continuous arterial blood pressure waveform from the ...
Low-frequency variability in photoplethysmography and ...
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The photoplethysmography (PPG) signal is composite in nature. It has low frequency (“DC”) components relating to respiration, vasomotion, blood pressure ...
May 27, 2023 · Therefore, the proposed PPG2BP-Net-based cuffless BP measurement has high potential to improve hypertension awareness, treatment, and management ...
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This work proposes a novel deep learning model to learn how to perform signal-to-signal translation from PPG to arterial blood pressure (ABP).