We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
14 Jul 2020 - 14 Jul 2020
Virtual Venue
15 Jul 2020 - 19 Jul 2020
Virtual Venue

Cardiac Telemetry Improves AF Detection Following Stroke

By HospiMedica International staff writers
Posted on 23 Jul 2019
Print article
Image: An example of an electrocardiomatrix, with flagged events (Photo courtesy of U-M).
Image: An example of an electrocardiomatrix, with flagged events (Photo courtesy of U-M).
A new study describes how electrocardiogram (ECG) telemetry data is analyzed in a three-dimensional (3D) matrix to allow for more accurate P-wave analysis.

Developed at the University of Michigan (U-M; Ann Arbor, USA), electrocardiomatrix is designed to convert two-dimensional signals from a patient’s ECG into a 3D heatmap so as to provide fast, intuitive detection of cardiac arrhythmias. To test the technology, U-M researchers conducted a prospective, observational study that analyzed data from 265 ischemic stroke and transient ischemic attack (TIA) patients between April 2017 and January 2018. Atrial fibrillation (AF) episodes lasting more than 30 seconds were identified through review of electrocardiomatrix matrices by a non-cardiologist.

The electrocardiomatrix results were then compared with AF identified directly by a cardiologist through standard telemetry. The results revealed that electrocardiomatrix successfully identified AF in 260 (98%) of cases. The positive predictive value of electrocardiomatrix compared with the clinical documentation was 86% overall, and 100% among a subset of patients with no history of AF. For the five false-positive and five false-negative cases, expert overview disagreed with the clinical documentation and confirmed the electrocardiomatrix-based diagnosis. The study was published on July 1, 2019, in Stroke.

“Electrocardiomatrix goes further than standard cardiac telemetry by examining large amounts of telemetry data in a way that's so detailed it's impractical for individual clinicians to attempt,” said senior author and electrocardiomatrix co-inventor Jimo Borjigin, PhD, of the department of molecular and integrative physiology at U-M Medical School. “Importantly, the electrocardiomatrix identification method was highly accurate for the 212 patients who did not have a history of AF. This group is most clinically relevant, because of the importance of determining whether stroke patients have previously undetected AF.”

“After a stroke, neurologists are tasked with identifying which risk factors may have contributed in order to do everything possible to prevent another event. That makes detecting irregular heartbeat an urgent concern for these patients,” said lead author professor of neurology Devin Brown, MD. “As a physician can't reasonably review every single heartbeat, current monitoring technology flags heart rates that are too high. More accurate identification of AF should translate into more strokes prevented.”

Related Links:
University of Michigan

Print article



view channel

Omnia Health Live Unites Global Healthcare Community Through New Virtual Experience

Omnia Health Live, a virtual healthcare event, has brought the global healthcare community together on a scale never seen before through a new experience delivered entirely online. The virtual healthcare... Read more
Copyright © 2000-2020 Globetech Media. All rights reserved.