Quantification and Analysis of Laryngeal Closure From Endoscopic Videos.

Journal: IEEE transactions on bio-medical engineering
Published Date: Aug 29, 2018

Abstract

OBJECTIVE: At present, there are no objective techniques to quantify and describe laryngeal obstruction, and the reproducibility of subjective manual quantification methods is insufficient, resulting in diagnostic inaccuracy and a poor signal-to-noise ratio in medical research. In this work, a workflow is proposed to quantify laryngeal movements from laryngoscopic videos, to facilitate the diagnosis procedure.

Authors

  • Jianyu Lin
    The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK; Department of Computing, Imperial College London, London, UK. Electronic address: xjtuljy@gmail.com.
  • Emil S Walsted
  • Vibeke Backer
  • James H Hull
  • Daniel S Elson
    The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK; Department of Surgery and Cancer, Imperial College London, London, UK. Electronic address: daniel.elson@imperial.ac.uk.

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