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Continuing improvement in arrhythmia detection

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Here’s a look at the latest enhancements in the EK-Pro algorithm for ECG analysis1

Computerized arrhythmia analysis is an essential technology patient monitoring patients at risk for cardiac events. The EK-Pro advanced software algorithm from GE Healthcare is the product of more than three decades of development, design and testing. It can simultaneously process up to five independent ECG leads for arrhythmia detection and up to 12 ECG leads for morphology analysis – representing several “views” of the heart as a way to detect clinically significant cardiac events.

GE Healthcare works continuously to improve the EK-Pro algorithm. Here are four major advances on the algorithm’s latest version:

Accurate ventricular tachycardia detection in pediatric patients. EK-Pro has achieved excellent performance with the relatively narrow beat morphologies common to ventricular tachycardia in children. Its accuracy was verified on waveform data from 100 patients from the cardiac units of several pediatric hospitals. 

Supraventricular tachyarrhythmia detection. The latest version of EK-Pro supports the detection of supraventricular tachycardia, atrial fibrillation. And frequent supraventricular beats.

Missing beat detection. EK-Pro supports the detection of missing beat that may indicate second-degree AV block that may progress rapidly to a complete heart blockage and sudden cardiac death.

Lower false alarm rates. Since 2012, ECRI Institute has placed clinical alarm hazards atop its list of Top 10 Health Technology Hazards. To ensure low levels of false alarms, every major version of the EK-Pro algorithm is extensively evaluated using proprietary ECG waveform data collected from multiple clinical units.

The latest EK-Pro algorithm can help improve detection of cardiac events that might otherwise go unnoticed. It helps to deliver reliable and accurate ST monitoring, reduce false alarms and assure uninterrupted monitoring.

1 David A. Sitzman, MSEE; Mikko Kaski, MSAM; Ian Rowlandson, MSBE; Tarja Sivonen, RN; Olli Väisänen, MD, PhD

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