Machine Learning Identification of Athlete Sport Type Through ECG Analysis

Authors

Lucas B. Cofer, Massachusetts General Hospital
Timothy W. Churchill, Massachusetts General Hospital
Rishi Bhuptani, Broad Institute
Aditya Inampudi, Broad Institute
Manav Rajvanshi, Broad Institute
Bjarni Atlason, Massachusetts General Hospital
Simon S.Y. Shim, San Jose State UniversityFollow
Shaan Khurshid, Harvard Medical School
Eugene H. Chung, Massachusetts General Hospital
Aaron Baggish, Harvard Medical School
J. Sawalla Guseh, Harvard Medical School
Kichang Lee, Massachusetts General Hospital
Aaron Baggish, Massachusetts General Hospital
Eugene Chung, Massachusetts General Hospital
Timothy Churchill, Massachusetts General Hospital
Meagan Wasfy, Massachusetts General Hospital
Katie M. Stewart, Massachusetts General Hospital
Rory Weiner, Massachusetts General Hospital

Publication Date

8-1-2025

Document Type

Letter to the Editor

Publication Title

Circulation Arrhythmia and Electrophysiology

Volume

18

Issue

8

DOI

10.1161/CIRCEP.125.013677

First Page

e013677

Funding Number

19AMFDP34990046

Funding Sponsor

American Heart Association

Keywords

athletes, cardiac remodeling, electrocardiography, exercise, machine learning, preparticipation examinations, sudden cardiac death

Department

Computer Engineering

Recommended Citation

Lucas B. Cofer, Timothy W. Churchill, Rishi Bhuptani, Aditya Inampudi, Manav Rajvanshi, Bjarni Atlason, Simon S.Y. Shim, Shaan Khurshid, Eugene H. Chung, Aaron Baggish, J. Sawalla Guseh, Kichang Lee, Aaron Baggish, Eugene Chung, Timothy Churchill, Meagan Wasfy, Katie M. Stewart, and Rory Weiner. "Machine Learning Identification of Athlete Sport Type Through ECG Analysis" Circulation Arrhythmia and Electrophysiology (2025): e013677. https://doi.org/10.1161/CIRCEP.125.013677