ECG-Based Deep Learning Framework to Identify Ventricular Arrhythmias in Patients Monitored with MCT
Posted by: Zywie Health in Industry Articles
Ventricular Arrhythmias (VA), including Ventricular Tachycardia, Ventricular Fibrillation, and Ventricular Flutter, are life-threatening arrhythmias that can lead to sudden cardiac death. A Mobile Cardiac Telemetry (MCT) monitor facilitates continuous cardiac monitoring for timely diagnosis of all arrhythmias including VA. This study aims to identify VA in near-real-time using a single-lead ECG as short as 2…
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Arrhythmia Assessment With 30-day MCT Patch Challenges Traditional Holter Monitoring
Posted by: Zywie Health in Industry Articles
This study aims to identify if cardiac monitoring with a 30-day MCT patch provides better patient outcome than with the 24-hr Holter. To do so, we compared the arrhythmia and ectopy diagnostic yield of both modalities. Read full article here.
Read More Abstract 17461: Efficacy of Long-Term Monitoring on Detecting Critical Cardiac Arrhythmias
Posted by: Zywie Health in Industry Articles
This study suggests that long-term outpatient monitoring can provide better diagnosis, especially for patients at a higher risk of developing critical arrhythmias. Read full abstract here.
Read More ZywieAI® Algorithm Can Robustly Identify WCT Episodes as Short as 0.46 Seconds
Posted by: Zywie Health in Industry Articles
HFSA abstract study demonstrating the efficacy of the ZywieAI® algorithm in detecting episodes of sustained and/or non-sustained WCTs like ventricular tachycardia, ventricular flutter, and ventricular fibrillation. Read full abstract here.
Read More Digital Health Journal: A case study on cardiac arrhythmia detection
Posted by: Zywie Health in Industry Articles
Atrial fibrillation (AF) is one of the most common cardiovascular problems, and its asymptomatic tendency makes AF detection challenging. Machine and deep learning methods are commonly used in AF detection. The purpose of this study was to evaluate the information provided by convolutional neural network (CNN) and random forest (RF) machine learning models for AF…
Read More AT&T Providing Connectivity for Zywie’s Cardiac Remote Monitoring System
Posted by: Zywie Health in Industry Articles
AT&T and Zywie are looking to offer highly secure, accessible monitoring for those with the disease as the Internet of Things is changing the healthcare industry by securely delivering valuable data in near real time, the companies said. The ZywiePro system uses mobile and cloud technology to detect cardiovascular arrhythmias in patients. It sends doctors…
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