Eelko Ronner

Wristband-Based Automated Cardiac Arrest Detection: Performance in Patients with Atrial Fibrillation

Lente Pol, Roos Edgar, Catharina Jansen, Niels Scholte et autres

Automated cardiac arrest detection using wrist-derived photoplethysmography during withdrawal of life-sustaining treatment: a prospective clinical validation study

Roos Edgar, Catharina E. Jansen, Lente R. Pol, Kambiz Ebrahimkheil et autres

Background: Automated cardiac arrest detection and alerting using wearable technology has the potential to shorten recognition delays for unwitnessed out-of-hospital cardiac arrest. In DETECT-1A and -1B, a photoplethysmography-based detection model was developed and validated in patients with induced cardiac arrest. This study …

nl, us (code pays fourni par la source)

Photoplethysmography based remote cardiac blood pressure monitoring compared with 24-h ambulatory blood pressure monitoring

Mariska van Vliet, Jan J.J. Aalberts, Cora Hamelinck, Arnaud D. Hauer et autres

OBJECTIVE: To evaluate the accuracy of a novel wrist-worn cuff-calibrated photoplethysmography (PPG)-based remote patient monitoring device as an alternative to ambulatory blood pressure monitoring (ABPM). METHODS: This prospective single-center study included 40 adult patients undergoing standard 24 h ABPM with a 30-min …

nl (code pays fourni par la source)

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

Roos Edgar, Niels T. B. Scholte, Kambiz Ebrahimkheil, Catharina E. Jansen et autres

Contains fulltext : 333601.pdf (Publisher’s version ) (Open Access)

nl (code pays fourni par la source)

Evolocumab to Reduce First Major Cardiovascular Events in Patients Without Known Significant Atherosclerosis and With Diabetes

Nicholas A. Marston, Erin Ann Bohula, Ajay K. Bhatia, Gaetano M. De Ferrari et autres

Importance: Intensive lowering of low-density lipoprotein cholesterol (LDL-C) levels with PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors for cardiovascular event reduction has largely been reserved for patients with significant atherosclerosis. Objective: To investigate whether evolocumab could prevent a first major cardiovascular event …

us, tr, it, ca, br, gb, au, es, de (code pays fourni par la source)

26-CCC-19474-ACC AUTOMATED CARDIAC ARREST DETECTION WITH A WRISTBAND: FIRST REAL-LIFE CASE FROM THE DETECT-3 STUDY

Lente R. Pol, Roos Edgar, Catharina E. Jansen, Kambiz Ebrahimkheil et autres

nl (code pays fourni par la source)

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 et autres

Abstract Aims In wearable-based automated cardiac arrest detection technology, photoplethysmography (PPG) is the most commonly used sensor to detect the absence of pulsations. To minimize false-positive cardiac arrest alerts, accelerometry signals are often used for the detection of ongoing movement. We conducted …

nl, nz (code pays fourni par la source)

Telemonitoring modalities in heart failure: comparative effectiveness across the heart failure population—a meta-analysis

Niels T. B. Scholte, Pascal R. D. Clephas, Eric Boersma, Muhammed T. Gürgöze et autres

Remote monitoring (RM) is effective for managing heart failure (HF), but it remains unclear which patients benefit most from which RM modality. We conducted a meta-analysis of 79 randomised trials including 31,669 patients comparing RM with standard care for total and first …

nl (code pays fourni par la source)

Empowering Patient-Centered Care: AI-Driven Pre-visit Tool to Enhance Patient Engagement and Diagnostic Accuracy

Ali Zamen Gholami, Eelko Ronner, Jun Hu, Panos Markopoulos

nl (code pays fourni par la source)

Abstract Or103: Automated cardiac arrest detection incorporated into a wristband: validation in patients with induced ventricular fibrillation

Roos Edgar, Niels T B Scholte, Kambiz Ebrahimkheil, Rypko J. Beukema et autres

Background: Survival from unwitnessed out-of-hospital cardiac arrest is poor, often due to delayed activation of the emergency medical chain. Wearable technology capable of automated cardiac arrest detection and alerting could trigger rapid medical assistance. In a previous study, we developed an algorithm …

nl (code pays fourni par la source)

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

Emma Hulshof, Roos Edgar, Kambiz Ebrahimkheil, Niels T B Scholte et autres

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, Bram van den Broek et autres