Hold that pose: capturing cervical dystonia's head deviation severity from video

Abstract

Deviated head posture is a defining characteristic of cervical dystonia (CD). Head posture severity is typically quantified with clinical rating scales such as the Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS). Because clinical rating scales are inherently subjective, they are susceptible to variability that reduces their sensitivity as outcome measures. The variability could be circumvented with methods to measure CD head posture objectively. However, previously used objective methods require specialized equipment and have been limited to studies with a small number of cases. The objective of this study was to evaluate a novel software system—the Computational Motor Objective Rater (CMOR)—to quantify multi‐axis directionality and severity of head posture in CD using only conventional video camera recordings.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 25, 2022
Source ID
10.1002/acn3.51549

Entities

People

  • Brian D. Berman
  • Casey N. Benadof
  • Christopher G. Goetz
  • Cynthia L. Comella
  • David A. Peterson
  • Dominique T. Sy
  • Elizabeth Cisneros
  • Glenn T. Stebbins
  • Ha Yeon Lee
  • Hyder A. Jinnah
  • Jacob Whitehill
  • Jeanne P Vu
  • Jeannie S. Huang
  • Joel S Perlmutter
  • Joseph Jankovic
  • Qiyu Chen
  • Richard L. Barbano
  • Ryin Rouzbehani
  • Sarah Pirio Richardson
  • Stewart Factor
  • Terrence J. Sejnowski
  • Zheng Zhang

Organizations

  • Baylor College of Medicine
  • Emory University
  • National Center for Advancing Translational Sciences
  • National Institute of Neurological Disorders and Stroke
  • Rush University
  • Salk Institute for Biological Studies
  • United States Department of Defense
  • University of California
  • University of California, San Diego
  • University of New Mexico
  • University of Rochester
  • Virginia Commonwealth University
  • Washington University in St. Louis
  • Worcester Polytechnic Institute

Tags

Fields of Study

  • Medicine

Readers

  • Forest Ecology
  • Human-Computer Interaction (HCI).
  • Theoretical Analysis.