“…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.…”