Combining sparse coding and time-domain features for heart sound classification.

Journal: Physiological measurement
Published Date:

Abstract

OBJECTIVE: This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which used sparse coding as a feature extraction tool on audio PCG data for heart sound classification.

Authors

  • Bradley M Whitaker
    Department of Electrical and Computer Engineering, Georgia Institute of Technology, GA, United States of America.
  • Pradyumna B Suresha
  • Chengyu Liu
    Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
  • Gari D Clifford
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
  • David V Anderson