Scientific publications

Scientific publications about the results of the first DETECT studies are expected soon. We invite you to visit this website regularly to stay informed of the progress and new developments!

Editorial - No witness, no problem? The potential survival
benefit of wearable-based cardiac arrest detection

Roos Edgar and Judith L. Bonnes

June 2026, Resucitation

Automated Cardiac Arrest Detection Using Wrist-Worn Photoplethysmography: External Validation in Patients With Induced Shockable Cardiac Arrest (DETECT-1b)

Roos Edgar, Kambiz Ebrahimkheil, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Sing-Chien Yap, Masih Mafi-Rad, Reinoud E. Knops, Eelko Ronner, Aysun Cetinyurek-Yavuz, Kevin Vernooy, Eric Boersma, Peter C. Stas, Niels van Royen, and Judith L. Bonnes

April 2026, Circulation: Arrhythmia and Electrophysiology

A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study

Roos Edgar, Kambiz Ebrahimkheil, Danny Meeuwsen, Maud C de Jong, Job J Herrmann , Alexander M Griffioen, Niels T B Scholte, Marc A Brouwer, Rypko J Beukema, Eelko Ronner, Eric Boersma, Aysun Cetinyurek-Yavuz, Peter C Stas, Claudine J C Lamoth, Niels van Royen, Judith L Bonnes

Maart 2026, European Heart Journal - Digital Health

Out-of-hospital cardiac arrest detection by a wearable: the first real-life case

Roos Edgar, Catharina E. Jansen, Lente R. Pol, Ron Pisters, Niels van Royen, Judith L. Bonnes

Report of first real-life OHCA detected by wristband-integrated sensors. A photoplethysmography-model detected pulselessness within seconds during cycling.

March 2026, Resucitation Plus

Abstract - Automated cardiac arrest detection incorporated into a wristband: validation in patients with induced ventricular fibrillation

R. Edgar, N.T.B. Scholte, K. Ebrahimkheil, C. Jansen, R.J. Beukema, M. Brouwer, M. S.C. Yap, Mafi-Rad, R. Knops, E. Ronner, A. Cetinyurek-Yavuz, K. Vernooy, E. Boersma, P.C. Stas, N. Van Royen, J.L. Bonnes

At the 2025 American Resuscitation Symposium, PhD candidate Roos Edgar won the Best Abstract Award. This placed us among the top submissions out of many entries for the conference, highlighting the significance of the DETECT project.

November 2025 - Resuscitation Science Symposium (ReSS) 2025

Abstract - Automated Cardiac Arrest Detection using Wearable Technology - Descriptive Analysis of False Positive Cardiac Arrest Alerts

Emma Hulshof, Roos Edgar, Catharina Jansen, Kambiz Ebrahimkheil, Niels Scholte, Aysun Cetinyurek-Yavuz, Eelko Ronner, Eric Boersma, Peter Stas, Niels van Royen, Judith Bonnes

With her abstract and presentation, Technical Medicine student Emma Hulshof was a finalist for the Young invastigator award.

November 2025, Resuscitation

Abstract - Towards Smartwatch-based Automated Cardiac Arrest Detection and Alarming: Development of an Accelerometer-based Model to Detect Cardiac Arrest-related Falls

Roos Edgar, Kambiz Ebrahimkheil, Danny Meeuwsen, Maud de Jong, Bram van den Broek, Niels Scholte, Marc Brouwer, Rypko Beukema, Eelko Ronner, Eric Boersma, Aysun Cetinyurek-Yavuz , Peter Stas, Claudine Lamoth, Niels van Royen, Judith Bonnes

Phd Candidate Roos Edgar was a finalist for the Best of the Best award for her presentation of this abstract at the 2025 European Resuscitation Congress.

November 2025, Resuscitation

Abstract - Evaluating the usability of a wristband for automated cardiac arrest detection and alerting

A.C.M. Geerdinck , R. Edgar , C.E. Jansen , K. Ebrahimkheil , A. Cetinyurek-Yavuz , E. Ronner , H. Boersma , P.C. Stas , H. Van Mens , L. Dusseljee-Van Peute , N. Van Royen , J.L. Bonnes

August 2025, European Society of Cardiology (ESC) Congress 2025

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

Roos Edgar, Kambiz Ebrahimkheil, Niels T.B. Scholte, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Eelko Ronner, Aysun Cetinyurek-Yavuz, Marit van Barreveld, Marcel G.W. Dijkgraaf, Peter C. Stas, Eric Boersma, Niels van Royen, Judith L. Bonnes

May 2025, Resuscitation Plus

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event

R. Edgar, N.T.B. Scholte, K. Ebrahimkheil, M.A. Brouwer, R.J. Beukema, M. Mafi-Rad, K. Vernooy, S.C. Yap, E. Ronner, N.M. Van Mieghem, E. Boersma, A. Cetinyurek-Yavuz, P.C. Stas, N. Van Royen, J.L. Bonnes

November 2024, American Heart Association (AHA) congress 2024, Scientific Sessions

Abstract - Automated cardiac arrest detection incorporated in a wristband: First experience with spontaneous cardiac arrest detection

Tijdens het American Resuscitation Symposium 2024 won promovenda Roos Edgar de Best Abstract Award. Daarmee behoorden we tot de beste inzendingen van de 450 abstracts voor het congres, wat het belang van het DETECT‑project onderstreept.

November 2024, Resuscitation Science Symposium (ReSS) 2024

Abstract - Automated cardiac arrest detection using a wristband: first evaluation of false positive alarms during daily life use

R. Edgar, K. Ebrahimkheil, N.T.B. Scholte, R.J. Beukema, M.A. Brouwer, A. Cetinyurek-Yavuz, E. Ronner, E. Boersma, P.C. Stas, N. van Royen, J.L. Bonnes

November 2024, European Resuscitation Council (ERC) Congress 2024

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: algorithm performance in relation to sex, skin color type and arm hair density

August 2024, European Society of Cardiology (ESC) Congress 2024

Together we save: Uniting forces in manual and mechanical CPR

Roos Edgar, Judith L. Bonnes

May 2024, Resuscitation

Photoplethysmography and intracardiac pressures: early insights from a pilot study

Niels T B Scholte, Annemiek E van Ravensberg, Roos Edgar, Antoon J M van den Enden, Nicolas M D A van Mieghem, Jasper J Brugts, Judith L Bonnes, Nico Bruining, Robert M A van der Boon

May 2024, European Heart Journal - Digital Health

Abstract - Automated cardiac arrest DETECTion using biosensor technology: development and validation of a wrist-derived photoplethysmography algorithm in patients with induced circulatory arrest

R. Edgar, N.T.B. Scholte, K. Ebrahimkheil, M.A. Brouwer, R.J. Beukema, M. Mafi-Rad, K. Vernooy, S.C. Yap, E. Ronner, N. van Mieghem, E. Boersma, P.C. Stas, N. van Royen, J.L. Bonnes

April 2024, Voorjaarscongres Nederlandse Vereniging voor Cardiologie (NVVC)

Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study

Roos Edgar, Niels T B Scholte, Kambiz Ebrahimkheil, Marc A Brouwer, Rypko J Beukema, Masih Mafi-Rad, Kevin Vernooy, Sing-Chien Yap, Eelko Ronner, Nicolas van Mieghem, Eric Boersma, Peter C Stas, Niels van Royen, Judith L Bonnes

March 2024, The Lancet Digital Health

Abstract - Automated cardiac arrest detection based on wrist-derived PPG signals: preliminary results of the DETECT-1 study in patients with induced circulatory arrests

Roos Edgar, Niels Scholte, Kambiz Ibrahimkheil, Marc Brouwer, Rypko Beukema, Nicolas van Mieghem, Sing-Chien Yap, Laura Rodwell, Eelco Ronner, Eric Boersma, Peter Stas, Niels van Royen, Judith Bonnes

Tijdens het European Resuscitation Congress 2023 won promovenda Roos Edgar de Young Investigator Award voor haar presentatie over dit abstract. Ze presenteerde de resultaten van de DETECT‑1‑studie, waarin het algoritme voor het detecteren van een hartstilstand wordt ontwikkeld bij patiënten met een geïnduceerde circulatiestilstand.

November 2023, European Resuscitation Council (ERC) Congress 2023

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Scientific publications

Editorial - No witness, no problem? The potential survival
benefit of wearable-based cardiac arrest detection

Automated Cardiac Arrest Detection Using Wrist-Worn Photoplethysmography: External Validation in Patients With Induced Shockable Cardiac Arrest (DETECT-1b)

A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study

Out-of-hospital cardiac arrest detection by a wearable: the first real-life case

Abstract - Automated cardiac arrest detection incorporated into a wristband: validation in patients with induced ventricular fibrillation

Abstract - Automated Cardiac Arrest Detection using Wearable Technology - Descriptive Analysis of False Positive Cardiac Arrest Alerts

Abstract - Towards Smartwatch-based Automated Cardiac Arrest Detection and Alarming: Development of an Accelerometer-based Model to Detect Cardiac Arrest-related Falls

Abstract - Evaluating the usability of a wristband for automated cardiac arrest detection and alerting

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

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event

Abstract - Automated cardiac arrest detection incorporated in a wristband: First experience with spontaneous cardiac arrest detection

Abstract - Automated cardiac arrest detection using a wristband: first evaluation of false positive alarms during daily life use

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: algorithm performance in relation to sex, skin color type and arm hair density

Together we save: Uniting forces in manual and mechanical CPR

Photoplethysmography and intracardiac pressures: early insights from a pilot study

Abstract - Automated cardiac arrest DETECTion using biosensor technology: development and validation of a wrist-derived photoplethysmography algorithm in patients with induced circulatory arrest

Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study

Abstract - Automated cardiac arrest detection based on wrist-derived PPG signals: preliminary results of the DETECT-1 study in patients with induced circulatory arrests

Contact the researchers

Sitemap

Radboudumc

Scientific publications

Editorial - No witness, no problem? The potential survivalbenefit of wearable-based cardiac arrest detection

Automated Cardiac Arrest Detection Using Wrist-Worn Photoplethysmography: External Validation in Patients With Induced Shockable Cardiac Arrest (DETECT-1b)

A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study

Out-of-hospital cardiac arrest detection by a wearable: the first real-life case

Abstract - Automated cardiac arrest detection incorporated into a wristband: validation in patients with induced ventricular fibrillation

Abstract - Automated Cardiac Arrest Detection using Wearable Technology - Descriptive Analysis of False Positive Cardiac Arrest Alerts

Abstract - Towards Smartwatch-based Automated Cardiac Arrest Detection and Alarming: Development of an Accelerometer-based Model to Detect Cardiac Arrest-related Falls

Abstract - Evaluating the usability of a wristband for automated cardiac arrest detection and alerting

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

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event

Abstract - Automated cardiac arrest detection incorporated in a wristband: First experience with spontaneous cardiac arrest detection

Abstract - Automated cardiac arrest detection using a wristband: first evaluation of false positive alarms during daily life use

Abstract - Automated cardiac arrest detection using a photoplethysmography wristband: algorithm performance in relation to sex, skin color type and arm hair density

Together we save: Uniting forces in manual and mechanical CPR

Photoplethysmography and intracardiac pressures: early insights from a pilot study

Abstract - Automated cardiac arrest DETECTion using biosensor technology: development and validation of a wrist-derived photoplethysmography algorithm in patients with induced circulatory arrest

Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study

Abstract - Automated cardiac arrest detection based on wrist-derived PPG signals: preliminary results of the DETECT-1 study in patients with induced circulatory arrests

Contact the researchers

Sitemap

Radboudumc

Editorial - No witness, no problem? The potential survival
benefit of wearable-based cardiac arrest detection