Automated cardiac arrest detection and alarming is a potential solution to shorten treatment delays after out-of-hospital cardiac arrest (OHCA). Especially for patients with unwitnessed cardiac arrests this could improve survival. In the DETECT project, an existing wristband is further developed to enable automated cardiac arrest detection and alarming during daily life using multiple sensors including wrist-derived photoplethysmography (PPG) signals. We present preliminary results of the DETECT-1 study in which a PPG-based cardiac arrest detection algorithm is being developed using patient data of induced circulatory arrests. (Abstract)

Edgar R.¹, Scholte N.², Ebrahimkheil K.³, Brouwer M.¹, Beukema R.¹, van Mieghem N.², Yap S. ², Rodwell L. ⁴, Ronner E. ⁵, Boersma E. ², Stas P.C.³, van Royen N.¹, Bonnes J.L.¹

1. ^{Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands}
2. ^{Department of Cardiology, Erasmus Medical Center, Rotterdam, the Netherlands}
3. ^{Corsano Health, The Hague, the Netherlands}
4. ^{Radboud Institute for Health Sciences, Health Evidence, Section Biostatistics, Nijmegen, the Netherlands}
5. ^{Department of Cardiology, Reinier de Graaf hospital , Delft, the Netherlands}