Deep Learning on 1-D Biosignals: a Taxonomy-based Survey.

Journal: Yearbook of medical informatics
Published Date: Aug 1, 2018

Abstract

OBJECTIVES:  Deep learning models such as convolutional neural networks (CNNs) have been applied successfully to medical imaging, but biomedical signal analysis has yet to fully benefit from this novel approach. Our survey aims at (i) reviewing deep learning techniques for biosignal analysis in computer- aided diagnosis; and (ii) deriving a taxonomy for organizing the growing number of applications in the field.

Authors

  • Nagarajan Ganapathy
    Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Braunschweig, Germany.
  • Ramakrishnan Swaminathan
    Indian Institute of Technology Madras, Chennai, India.
  • Thomas M Deserno
    Department of Medical Informatics, RWTH Aachen University, Pauwelsstr. 30, 52057 Aachen, Germany.

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