To visualize the beat-to-beat features of cardiac signals monitored over a long period, we developed a new method of displaying long streams of EKG signals, called the electrocardiomatrix (ECM). The ECM graphs two or more consecutive P-QRS-T waves on the y axis, the numbers of heartbeats or time lapsed on the x axis, and signal intensity of heartbeats on the z axis. This display method preserves all features of cardiac electrical signals decipherable from raw EKG data in a compact manner and permits a single-glance view of time-dependent changes of heart rate and the occurrence of cardiac arrhythmias.


The ECM method appears to offer superior sensitivity and specificity for cardiac arrhythmia detection compared with manual detection (Li et al., 2015b) as well as automated arrhythmia detection (manuscripts in preparation) and is predicted to improve diagnosis of cardiac diseases. Currently, we are collaborating with a number of physicians and engineers to further develop this technology and plan to conduct clinical trials to test the sensitivity and specificity of ECM approach for cardiac arrhythmia detection at the University of Michigan Hospital.

News & Events

New paper published in Stroke journal

Electrocardiomatrix Facilitates Accurate Detection of Atrial Fibrillation in Stroke Patients published in Stroke journal volumn 50, issue 7.

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New paper published in Journal of Electrocardiology

Electrocardiomatrix facilitates qualitative identification of diminished heart rate variability in critically ill patients shortly before cardiac arrest published in Journal of Electrocardiology volume 51, issue 6.

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Mi-Kickstart and Mi-TRAC awards

Dr. Jimo Borjigin received Mi-Kickstart and Mi-TRAC awards for ECM project in year 2016 and 2017.

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sponsored by

Fast Forward Medical Innovation
Department of Molecular & Integrative Physiology
Michigan Economic Development Corporation