The goal of the DETECT project is to develop a wristband with automated cardiac arrest detection and alarming of the emergency medical system.
Joined October 2023
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Published in European Heart Journal - Digital Health: A machine learning model to detect falls mimicking cardiac arrest-related collapse based on wrist-derived accelerometry: the DETECT-2 study. Read full article here: academic.oup.com/ehjdh/artic…
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29 Jul 2025
Interesting article by Hutton et all., modeling the potential effect of wearable-based cardiac arrest detection on survival. Graphic created by R. Edgar. sciencedirect.com/science/ar… @ResusJournal
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6 Jun 2025
Published in @Resus_Plus Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband. sciencedirect.com/science/ar…
@radboudumc @Hartstichting
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DETECT study retweeted
23 Feb 2024
NEW Research: Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study.
Read it here: buff.ly/3IaDY9h
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22 Feb 2024
1/2 Published today in @LancetDigitalH: Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study. Read full article here: thelancet.com/journals/landi…
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22 Feb 2024
2/2 Within the #DETECT project, a wristband with automated cardiac arrest detection and alarming is developed by @Radboudumc, @Corsano_Health, @ErasmusMC, and Reinier de Graaf gasthuis. The project is funded by the Dutch Heart Foundation, @Hartstichting.
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