The paper “Detecting beats in the photoplethysmogram: benchmarking open-source algorithms“, co-authored by Peter Charlton (Cambridge), Kevin Kotzen (Technion IIT), Elisa Mejia-Mejia (City U London), Philip Aston, Karthik Budidha (City U London), Jonathan Mant (Cambridge), Callum Pettit (former student at Surrey), Joachim Behar (Technion IIT), Panicos Kyriacou (City U London), was published in the journal “Physiological Measurements” in August 2022. It has now been announced that this paper is the winner of the Martin Black Prize for the best paper of the year. The published paper is available open access (link here). The image below shows Figure 2 from the published paper.