2024
DOI: 10.1109/jbhi.2023.3265857
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Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks

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Cited by 2 publications
(1 citation statement)
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“…The third paper by Wu et al [3] introduces a way to estimate blood pressure (BP) from camera-PPG, by exploiting the time difference information from multiple PPG signals measured from the face. To prevent overfitting and solve the issue of data limitation when training a BP regression model, the authors used synthetic data generated by Generative Adversarial Networks (GANs) and subject information (e.g., age, body mass index) estimated by a camera to enhance the BP prediction model.…”
Section: Guest Editorial Camera-based Health Monitoring Inmentioning
confidence: 99%
“…The third paper by Wu et al [3] introduces a way to estimate blood pressure (BP) from camera-PPG, by exploiting the time difference information from multiple PPG signals measured from the face. To prevent overfitting and solve the issue of data limitation when training a BP regression model, the authors used synthetic data generated by Generative Adversarial Networks (GANs) and subject information (e.g., age, body mass index) estimated by a camera to enhance the BP prediction model.…”
Section: Guest Editorial Camera-based Health Monitoring Inmentioning
confidence: 99%