fast, precise, and easy detection of irregular heart rhythms
Stroke is the fifth leading cause of death and the leading cause of serious long- term disability in the United States. Stroke diagnosis often includes long-term telemetric electrocardiography monitoring, however, it is costly and can take months to identify atrial fibrillation, an irregular heartbeat that can cause blood clots and result in stroke.
University of Michigan’s Jimo Borjigin, Ph.D., has developed a novel method to evaluate electrocardiography (ECG) signals called the Electrocardiomatrix, an IT tool that analyzes this data collected during a patient’s hospitalization. Borjigin’s team, including engineer Gang Xu, Ph.D., stroke neurologists Devin Brown, M.D. and Michael M. Wang, M.D., Ph.D., and cardiologist Peter Farrehi, M.D., is optimistic that the use of Electrocardiomatrix technology will promote early and accurate atrial fibrillation detection, prevent future strokes in patients, and help avoid the costs of conducting continuous ECG telemetry.
Strokes kill more than 130,000 Americans each year, but up to 80 percent of them are preventable. Electrocardiomatrix would allow fast and accurate atrial fibrillation detection while patients are hospitalized, providing timely prevention of a future stroke and lowering medical costs overall.
Part of the stroke evaluation often includes long-term telemetric ECG monitoring, specifically to detect the presence of atrial fibrillation. However, this continuous form of diagnosis is costly and can take months to complete.
The display method of the Electrocardiomatrix preserves all features of cardiac electrical signals decipherable from raw ECG data in a compact manner, permitting a single-glance view of time-dependent changes of heart rate and cardiac arrhythmias in a long cardiac recording.
This Electrocardiomatrix-based analysis is performed using ECG data that is routinely collected during a patient’s hospitalization and is shown to have atrial fibrillation detection accuracy as good as manual detection by physicians.
- Intellectual Property: A utility patent application on the Electrocardiomatrix technology was filed in September 2015.
- Commercialization Strategy: Option to license to cardiology and/or monitoring companies.
- Engage Investors: Demonstrate value proposition and if appropriate, approach investors for development support prior to license.
- Product Launch Strategy: To be determined by licensee.
- Build a dedicated system to capture and store all ECG data, and test it for security and reliability
- Perform daily Electrocardiomatrix data processing and weekly consultation with the study team cardiologist on atrial fibrillation identified from patients’ ECG data and provide feedback to the study team physicians
- Solicit professional consultation on FDA issues related to Electrocardiomatrix’s use as a diagnostic device
- Assess the prevalence of atrial fibrillation identified with application of Electrocardiomatrix analysis among stroke patients without a prior history of atrial fibrillation
- Compare the prevalence of atrial fibrillation identified during telemetry with and without application of Electrocardiomatrix analysis