Congratulations to Oded Schlesinger, Nitai Vigderhouse and their supervisor Yair Moshe for winning the first prize in the Kasher undergraduate project contest in the Faculty of Electrical Engineering for their project on Blood Pressure Estimation from PPG Signals.
Oded & Nitai wrote two papers describing their work:
Schlesinger, Oded, et al. “Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network.” ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020.
Schlesinger, Oded, et al. “Estimation and Tracking of Blood Pressure Using Routinely Acquired Photoplethysmographic Signals and Deep Neural Networks.” Critical Care Explorations| Society of Critical Care Medicine Journal 2.4 (2020): e0095.