Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Journal: Circulation. Arrhythmia and electrophysiology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Lucas B Cofer
    Department of Medicine, Massachusetts General Hospital, Boston. (L.B.C.).
  • Timothy W Churchill
    Cardiovascular Research Center, Massachusetts General Hospital, Boston. (T.W.C., B.A., K.L.).
  • Rishi Bhuptani
    Department of Applied Data Science, San Jose State University, CA (R.B., A.I., M.R., S.S.Y.S.).
  • Aditya Inampudi
    Department of Applied Data Science, San Jose State University, CA (R.B., A.I., M.R., S.S.Y.S.).
  • Manav Rajvanshi
    Department of Applied Data Science, San Jose State University, CA (R.B., A.I., M.R., S.S.Y.S.).
  • Bjarni Atlason
    Cardiovascular Research Center, Massachusetts General Hospital, Boston. (T.W.C., B.A., K.L.).
  • Simon S Y Shim
    Department of Applied Data Science, San Jose State University, CA (R.B., A.I., M.R., S.S.Y.S.).
  • Shaan Khurshid
    Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Eugene H Chung
    Cardiology Division, Massachusetts General Hospital, Boston. (T.W.C., E.H.C.).
  • Aaron Baggish
    Harvard Medical School, Boston, MA (S.K., A.B., J.S.G., K.L.).
  • J Sawalla Guseh
    Harvard Medical School, Boston, MA (S.K., A.B., J.S.G., K.L.).
  • Kichang Lee
    Cardiovascular Research Center, Massachusetts General Hospital, Boston. (T.W.C., B.A., K.L.).

Keywords

No keywords available for this article.