Syncope Prediction using Photoplethysmography

The development of a reliable and robust algorithm for prediction of syncope events is still a major challenge, especially when it is based on the analysis of the photoplethysmogram (PPG) alone. Several algorithms have been proposed in the literature based on the joint analysis of the electrocardiogram, the blood pressure and also the PPG [1]. However, when considering the analysis of the PPG alone, the ability to predict syncope events is still unsatisfactory. The aim of this work is to provide a more reliable PPG-based algorithm with higher prediction ability, using a dataset with 43 patients.