Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Severity in movement disorders: a quantitative approach.

R T Shann1, R H Lye, G W Rogers

  • 1Department of Medical Illustration, University of Manchester, U.K.

Acta Neurochirurgica. Supplementum
|January 1, 1987
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Short communication: Genetic lag represents commercial herd genetic merit more accurately than the 4-path selection model.

Journal of dairy science·2018
Same author

Comparison of Holstein-Friesian and Norwegian Red dairy cattle for estrus length and estrous signs.

Journal of dairy science·2015
Same author

Potent inhibition by ropivacaine of metastatic colon cancer SW620 cell invasion and NaV1.5 channel function.

British journal of anaesthesia·2014
Same author

Colorimetric determination of carbon tetrachloride using a modified Fujiwara reaction.

The Journal of industrial hygiene and toxicology·2010
Same author

Comparison of balloon-carried atmospheric motion sensors with Doppler lidar turbulence measurements.

The Review of scientific instruments·2009
Same author

A three-dimensional magnetometer for motion sensing of a balloon-carried atmospheric measurement package.

The Review of scientific instruments·2008

This study introduces a new video analysis method for quantifying movement disorder severity. This approach enables objective comparisons of patient conditions before and after treatment.

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Movement disorders present challenges in objective severity assessment.
  • Current assessment methods can be subjective and lack quantitative precision.
  • Need for reliable tools to track treatment efficacy in movement disorders.

Purpose of the Study:

  • To present a novel method for the quantitative assessment of movement disorder severity.
  • To enable objective and reproducible evaluation of treatment outcomes.
  • To facilitate precise comparison of patient status pre- and post-intervention.

Main Methods:

  • Utilizing video recordings of patients with movement disorders.
  • Employing advanced computer analysis algorithms for motion tracking and feature extraction.

Related Experiment Videos

  • Developing a quantitative scoring system based on video analysis data.

    • Main Results:

    • The method provides a quantifiable measure of movement disorder severity.
    • Demonstrated ability to accurately compare pre- and post-treatment conditions.
    • Potential for objective monitoring of disease progression and therapeutic response.

    Conclusions:

    • This computer-assisted video analysis offers a quantitative approach to movement disorder assessment.
    • The method enhances the objectivity and precision of evaluating treatment effectiveness.
    • Facilitates better clinical decision-making through reliable data on patient status.