DETECT study

The goal of the DETECT project is to develop a wristband with automated cardiac arrest detection and alarming of the emergency medical system.

[DETECT study @study_DETECT]

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: https://t.co/0iGKks9Pto

[DETECT study @study_DETECT]

Interesting article by Hutton et all., modeling the potential effect of wearable-based cardiac arrest detection on survival. Graphic created by R. Edgar. https://t.co/2d6Prd4A1J @ResusJournal

[DETECT study @study_DETECT]

Published in @Resus_Plus Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband. https://t.co/6AJj9GYcO4

@radboudumc @Hartstichting

[The Lancet Digital Health @LancetDigitalH]

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: https://t.co/0UnlrOpxvI

[DETECT study @study_DETECT]

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.

[DETECT study @study_DETECT]

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: https://t.co/4ugmfkk1TY