Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband.

Journal: Resuscitation plus
Published Date: Jul 1, 2025

Abstract

INTRODUCTION: While survival rates for witnessed out-of-hospital cardiac arrest have improved, assistance for unwitnessed cases often arrives too late. Automated cardiac arrest detection and alerting through wearable biosensor technology could catalyse early assistance and improve survival. Recently, an algorithm for automated detection of induced cardiac arrest was developed using wrist-derived photoplethysmography (DETECT-1a study). This paper outlines the next steps in the DETECT program, aimed at developing, validating, and preparing for the future implementation of automated cardiac arrest detection technology.

Authors

  • Roos Edgar
    Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.
  • Kambiz Ebrahimkheil
    Corsano Health, Wilhelmina Van Pruisenweg 35, 2595 AN The Hague, the Netherlands.
  • Niels T B Scholte
    Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Cardiovascular Institute, Thorax Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
  • Catharina E Jansen
    Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.
  • Rypko J Beukema
    Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.
  • Marc A Brouwer
    Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands (M.A.B.).
  • Eelko Ronner
    Department of Cardiology, Reinier de Graaf Hospital, Reinier de Graafweg 5, 2625 AD Delft, the Netherlands.
  • Aysun Cetinyurek-Yavuz
    Department of IQ Health, Section Biostatistics, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.
  • Marit van Barreveld
    Department of Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
  • Marcel G W Dijkgraaf
    Department of Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.
  • Peter C Stas
    Corsano Health, Wilhelmina Van Pruisenweg 35, 2595 AN The Hague, the Netherlands.
  • Eric Boersma
    Department of Cardiology, Thoraxcenter, Erasmus Medical Center, Rotterdam, the Netherlands.
  • Niels van Royen
    Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands.
  • Judith L Bonnes
    Department of Cardiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands.

Keywords

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