Electrocardio-matrix (ECM)
Value Proposition
The electrocardiogram (ECG) is one of the most widely used tools for noninvasive diagnosis of cardiovascular diseases and for basic research of the heart. Electrocardiomatrix (ECM) is a new technique that organizes a 2-dimensional ECG into a 3-dimensional matrix to comprehensively analyze ECG signals. Utilizing modern signal processing methods to facilitate disease diagnosis, the ECM has been proven to increase speed and accuracy of detection of cardiac abnormalities.
Competitive Advantage
Allows rapid evaluation of large ECG time series data collection form Holter monitors or inpatient cardiac monitors to identify incidence and burden of dangerous cardiac states like atrial fibrillation, atrial flutter, ventricular tachycardia and myocardial ischemia
Accuracy is equivalent or superior to manual inspection of the ECG (current gold standard)
Capable of implantation and monitoring of all hospital beds with cardiac monitors.
Unique Features
Detailed features of electrocardiogram (ECG) are inspected manually in short segments
Compact, comprehensive visual representation of long ECG signals in a single matrix for intuitive analysis
Display of all ECG intervals including RR, PR, QRS, ST, and QT intervals
Visualization of ECG morphology changes
Real-time tracing of heart rate variations
Principal Investigators
Jimo Borjigin, PhD
Licensing Manager
Drew Bennett
Intellectual Property
Invention Disclosure # 6257
Patent Issued # US9918651
Solution Sheet
Download Solution Sheet (PDF)
The Electrocardiogram (ECG) has been commonly used for diagnosis of cardiac diseases for more than a century. However, using an ECG to automate the detection of arrhythmias such as atrial fibrillation (AFIB) and atrial flutter (AFL) over long periods of time is time consuming and often inaccurate.
Given the universal importance of the ECG, we expect that this new method will have clinical, research and educational uses. All of the unique features of ECM are all displayed in one compact matrix format that can be intuitively analyzed; colorful representation of each peak allows easy and intuitive identification of amplitude changes of ECG peaks; arrhythmic beats can be studied in their endogenous context; and key findings can be correlated easily with time-stamped events noted by patients.
Electrocardiomatrix is currently available for licensing. Please contact the Licensing Manager, Drew Bennett, for more information.
Funding History
$545,326 in non-dilutive funding
2020 $545,326 DOD
Substantial additional departmental, school and center based support
Completed Milestones:
Graphic user interface
Retrospective validation using publicly available data sets
Prospective validation at Michigan Medicine Stroke Unit
Next Steps
License the technology to an industry partner