Atrial fibrillation complexity score for enhanced risk stratification and management
A novel scoring system that integrates multiple metrics to evaluate the severity of atrial fibrillation.
Technology No. 2022-201
IP Status: Provisional Patent Application Filed
Clinical validation has been demonstrated using data from 50 atrial fibrillation patients.
Applications
- Atrial fibrillation risk stratification
Technology Overview
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia linked with an increased risk of stroke and other heart complications. Traditional prognostic tools for assessing AF severity are limited because they fail to capture the electrical complexity of the AF signals. Researchers at the University of Minnesota have developed a novel metric that incorporates AF burden and a new marker, electrical burden, which quantifies the instability of AF signals. This novel approach enables more accurate characterization and stratification of AF to guide management and improve patient outcomes.
Phase of Development
TRL: 3-4Clinical validation has been demonstrated using data from 50 atrial fibrillation patients.
Desired Partnerships
This technology is now available for:- License
- Sponsored research
- Co-development
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Researchers
- Alena Talkachova, PhD Professor, Department of Biomedical Engineeringt
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swap_vertical_circlelibrary_booksReferences (1)
- Jieun Lee, Autumn J. Brower, Henri Roukoz & Elena G. Tolkacheva (2024), Complexity AF score as a novel marker of atrial fibrillation instability, Scientific Reports
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swap_vertical_circlecloud_downloadSupporting documents (1)Product brochureAtrial fibrillation complexity score for enhanced risk stratification and management.pdf