Literature DB >> 31501004

Noninvasive and quantitative evaluation of movement disorder disability using an infrared depth sensor.

Setsuki Tsukagoshi1, Minori Furuta1, Kimitoshi Hirayanagi1, Natsumi Furuta1, Shogo Nakazato2, Motoaki Fujii2, Yasushi Yuminaka2, Yoshio Ikeda3.   

Abstract

Cerebellar ataxia and Parkinson's disease are neurodegenerative disorders clinically characterized by motor disabilities including gait disturbance. This study aimed to investigate the usefulness of an infrared depth sensor device to quantitatively evaluate gait disturbances in patients with movement disorders. 25 ataxic, 25 Parkinson's disease, and 25 control subjects were enrolled and evaluated their walk. Stride length, feet interval, gait rhythm, and a ratio of the actual walking route length to the linear distance between the start and goal points (A/L ratio) were assessed and compared. Outcome correlations with clinical scales were also analyzed. The average stride length was shorter in ataxic subjects or Parkinson's disease subjects than in control subjects. The average feet interval was larger in ataxic subjects than in control subjects. The stride length coefficient of variation (CV), gait rhythm CV, and average and standard deviations of the A/L ratio were larger in ataxic or Parkinson's disease subjects than in control subjects. Ataxic subjects exhibited significant positive correlations between the CV of stride length or average feet interval and scale for the assessment and rating of ataxia scores or international cooperative ataxia rating scale scores. Parkinson's disease subjects exhibited a significant correlation between the average stride length, CV of stride length, or standard deviation of A/L ratio and unified Parkinson's disease rating scale score. The device used in this study differentiated the characteristics of gait disturbance in each movement disorder and quantitatively evaluated ataxia or Parkinson's disease severity, indicating its potential clinical utility across applications.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebellar ataxia; Feet interval; Gait analysis; Gait rhythm; Parkinson’s disease; Stride length

Mesh:

Year:  2019        PMID: 31501004     DOI: 10.1016/j.jocn.2019.08.101

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  1 in total

Review 1.  A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment.

Authors:  Anthony Bawa; Konstantinos Banitsas; Maysam Abbod
Journal:  J Healthc Eng       Date:  2021-11-01       Impact factor: 2.682

  1 in total

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