An approach for a continuous non-invasive blood pressure monitoring with Photoplethysmography signals Residual Networks (ResNet). The proposed highlights the potential of ResNet for BP estimation using processed PPG signals and their first and second derivatives, emphasizing the importance of spatial feature extraction in deep learning models for continuous non-invasive BP estimation.

Ваннус М. (науч. рук. Волынский М.А.) Blood pressure estimation using photoplethysmography signals' spatial features utilizing residual networks // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2025]. URL: https://kmu.itmo.ru/digests/article/15234