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Quantifying Motor Impairment in Movement Disorders.

James J FitzGerald1,2, Zhongjiao Lu1,3, Prem Jareonsettasin1,4

  • 1NeuroMetrology Lab, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

Frontiers in Neuroscience
|April 27, 2018
PubMed
Summary
This summary is machine-generated.

Objective metrics from new devices offer accurate, observer-independent quantification for movement disorders like Parkinson's disease. This improves data consistency, patient stratification, and remote monitoring, overcoming limitations of subjective clinical scales.

Keywords:
accelerometerseye trackersmovement disordersneurosciencesquantificationrating scalestechnologies

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Digital Health

Background:

  • Traditional clinical rating scales for movement disorders are subjective and non-linear.
  • This subjectivity hinders observer-independent quantification and limits advanced statistical analysis.
  • Objective, quantitative measurement tools are crucial for advancing neurological disorder assessment.

Purpose of the Study:

  • To review the limitations of current subjective clinical evaluation tools for movement disorders.
  • To highlight the emergence and benefits of objective, quantitative measurement devices.
  • To focus on the application of these technologies in Parkinson's disease.

Main Methods:

  • Review of existing literature on movement disorder assessment tools.
  • Discussion of emerging technologies such as oculometers and accelerometers.
  • Exploration of smartphone-based applications for neurological data capture.

Main Results:

  • Objective metrics provide more accurate disease quantification than subjective scales.
  • Quantitative data enhances consistency for longitudinal studies.
  • Enables precise patient stratification for clinical trials and remote monitoring.

Conclusions:

  • Objective metrics represent a significant advancement over subjective clinical scales for movement disorders.
  • New technologies facilitate more reliable data collection and patient management.
  • The integration of objective measures promises to improve research and clinical care for conditions like Parkinson's disease.