Radboud University Medical Center
Surviving a cardiac arrest that happens outside the hospital depends on quickly recognizing the event and immediately starting CPR. Survival rates have improved when cardiac arrest is witnessed, but when it isn't, help often arrives too late. Wearable biosensors, like special wristbands, could detect cardiac arrest automatically and alert emergency responders, providing faster help. In the already finished DETECT-1 study, the investigators developed a system that uses wrist-worn sensors to identify cardiac arrest. The goal of the current study is to test how well this system works in people who have an implantable cardioverter defibrillator (ICD). An ICD is a device that monitors and treats dangerous heart rhythms. Study participants will wear a medical wristband with sensors that monitor the heartrate and movement during their daily activities to see if the system accurately detects cardiac arrest.
Cardiac Arrest (CA)
Sudden Death, Cardiac
Survival from out-of-hospital cardiac arrest (OHCA) depends on fast recognition of cardiac arrest and immediate initiation of cardiopulmonary resuscitation (CPR). While survival chances for witnessed OHCA have increased, unwitnessed cases still often receive help too late. Wearable biosensor technology with the functionality of automated cardiac arrest detection and activation of the emergency medical chain would offer a potential solution to provide early help. In the recently published DETECT-1 study, an algorithm for automated cardiac arrest detection using wrist-derived photoplethysmography (PPG) was recently developed. The current study is a prospective multicenter observational cohort study to validate the sensitivity of the developed cardiac arrest detection algorithm in patients with an implantable cardioverter defibrillator (ICD) during daily life. The study population includes patients with an ICD. Study participants will wear a medical wristband with PPG and accelerometer sensors during daily life.
| Study Type : | OBSERVATIONAL |
| Estimated Enrollment : | 200 participants |
| Official Title : | Smartwatch-based Automated Cardiac Arrest Detection and Activation of the Emergency Medical Chain: Validation in a Home Setting |
| Actual Study Start Date : | 2025-01-01 |
| Estimated Primary Completion Date : | 2027-01-01 |
| Estimated Study Completion Date : | 2028-01-01 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | 18 Years |
| Sexes Eligible for Study: | ALL |
| Accepts Healthy Volunteers: |
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Radboud UMC
Nijmegen, Gelderland, Netherlands, 6525GA