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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.
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 ...
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).