Machine learning based identification of pathological heart sounds

@article{Gokhale2016MachineLB,
  title={Machine learning based identification of pathological heart sounds},
  author={Tanmay A. Gokhale},
  journal={2016 Computing in Cardiology Conference (CinC)},
  year={2016},
  pages={553-556}
}
Automated interpretation of heart sounds holds great promise in increasing the diagnostic accuracy and consistency of cardiac auscultation and allowing for use in remote, tele-health settings. However, existing algorithms for classification of hearts sounds have been constrained by limited idealized training sets and methodological issues with validation. As part of the 2016 PhysioNet Challenge competition, we present an algorithm for automated heart sound classification sthat uses Hilbert… CONTINUE READING