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Movement Quantification in Neurological Diseases: Methods and Applications.

Maria do Carmo Vilas-Boas, Joao Paulo Silva Cunha

    IEEE Reviews in Biomedical Engineering
    |March 24, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Quantitative movement analysis offers objective insights for diagnosing neurological diseases, moving beyond subjective observations. This review explores motion capture techniques and their application in clinical neurology.

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    Area of Science:

    • Neurology
    • Biomedical Engineering
    • Movement Science

    Background:

    • Human body movement provides crucial diagnostic information for neurological diseases.
    • Current diagnostic methods rely on subjective qualitative evaluation of movements of interest (MOI).
    • Quantitative movement analysis offers a more objective approach but is underutilized in clinical practice.

    Purpose of the Study:

    • To review the state-of-the-art in quantitative movement analysis for neurological diseases.
    • To provide a clear overview of methods and applications in movement-related neurological disorders.
    • To discuss the advantages and disadvantages of quantitative approaches in clinical neurology.

    Main Methods:

    • Literature survey of 82 papers published since 2006 on motion capture techniques in neurological diseases.
    • Analysis of historical aspects and current state of motion capture technologies.
    • Discussion of pros and cons of quantitative movement analysis in clinical settings.

    Main Results:

    • Identified trends in the application of motion quantification techniques across various neurological conditions.
    • Highlighted the gap between the potential of quantitative methods and their current clinical adoption.
    • Summarized the evolution and current capabilities of motion capture technologies.

    Conclusions:

    • Quantitative movement analysis holds significant potential to aid in the diagnosis and follow-up of neurological diseases.
    • Further integration of these objective techniques is needed to overcome the subjectivity of current observational methods.
    • Future trends suggest increased adoption and refinement of motion capture technologies in clinical neurology.