Literature DB >> 32789198

Feasibility of a Simplified, Clinically Oriented, Three-dimensional Gait Analysis System for the Gait Evaluation of Stroke Patients.

Masahiko Mukaino1, Kei Ohtsuka2, Kazuhiro Tsuchiyama3, Fumihiro Matsuda2, Keisuke Inagaki3, Junya Yamada3, Hiroki Tanikawa2, Eiichi Saitoh1.   

Abstract

OBJECTIVE: Although previous studies have evidenced the value of three-dimensional gait analysis (3DGA) for evaluating gait disorder, the time-consuming measurement process and space requirement has hampered its use in the clinical setting. The aim of this study was to examine the feasibility of a simplified 3DGA system for stroke patients.
METHODS: Thirteen pairs of stroke patients and age- (± 1 year), gender-, and gait speed- (± 0.5 m/s) matched controls were drawn from the Fujita Health University gait analysis database. 3DGA was performed using the KinemaTracer® treadmill gait analysis system. Comparisons of the spatiotemporal and kinematic parameters were performed between stroke patients and matched controls. The correlations between items from the Wisconsin Gait Scale (WGS) and 3DGA data in stroke patients were also investigated.
RESULTS: 3DGA measurements clearly showed reduced toe clearance, hip flexion, and knee flexion in stroke patients compared with the matched controls. In contrast, significant increases were observed in hip elevation, shoulder elevation, shoulder lateral shift, and step width in stroke patients. For the four items drawn from the WGS, a significant correlation with three 3DGA parameters was observed: stance time on the impaired side, stance width, and knee flexion from toe off to midswing.
CONCLUSIONS: In this study, significant differences in gait parameters of stroke patients and age-, gender-, and speed-matched controls were found using a simplified 3DGA system. A significant correlation with WGS was also observed. These results support the validity of the clinical measurement of gait parameters using a simplified 3DGA system. ©2016 The Japanese Association of Rehabilitation Medicine.

Entities:  

Keywords:  gait analysis; hemiplegic gait; stroke

Year:  2016        PMID: 32789198      PMCID: PMC7372005          DOI: 10.2490/prm.20160001

Source DB:  PubMed          Journal:  Prog Rehabil Med        ISSN: 2432-1354


  21 in total

1.  Comparison of motor control deficits during treadmill and overground walking poststroke.

Authors:  Steven A Kautz; Mark G Bowden; David J Clark; Richard R Neptune
Journal:  Neurorehabil Neural Repair       Date:  2011-06-02       Impact factor: 3.919

2.  Reliability and validity of the Visual Gait Assessment Scale for children with hemiplegic cerebral palsy when used by experienced and inexperienced observers.

Authors:  C R Brown; S J Hillman; A M Richardson; J L Herman; J E Robb
Journal:  Gait Posture       Date:  2007-10-29       Impact factor: 2.840

3.  Affordable clinical gait analysis: an assessment of the marker tracking accuracy of a new low-cost optical 3D motion analysis system.

Authors:  Bruce Carse; Barry Meadows; Roy Bowers; Philip Rowe
Journal:  Physiotherapy       Date:  2013-06-06       Impact factor: 3.358

4.  Frontal plane compensatory strategies associated with self-selected walking speed in individuals post-stroke.

Authors:  Victoria A Stanhope; Brian A Knarr; Darcy S Reisman; Jill S Higginson
Journal:  Clin Biomech (Bristol, Avon)       Date:  2014-04-13       Impact factor: 2.063

Review 5.  Summary measures for clinical gait analysis: a literature review.

Authors:  Veronica Cimolin; Manuela Galli
Journal:  Gait Posture       Date:  2014-02-07       Impact factor: 2.840

6.  The stroke impairment assessment set: its internal consistency and predictive validity.

Authors:  T Tsuji; M Liu; S Sonoda; K Domen; N Chino
Journal:  Arch Phys Med Rehabil       Date:  2000-07       Impact factor: 3.966

7.  Gait training efficacy using a home-based practice model in chronic hemiplegia.

Authors:  A A Rodriquez; P O Black; K A Kile; J Sherman; B Stellberg; J McCormick; J Roszkowski; E Swiggum
Journal:  Arch Phys Med Rehabil       Date:  1996-08       Impact factor: 3.966

Review 8.  Gait analysis for poststroke rehabilitation: the relevance of biomechanical analysis and the impact of gait speed.

Authors:  Sylvie Nadeau; Martina Betschart; Francois Bethoux
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-01-26       Impact factor: 1.784

Review 9.  Hemiparetic Gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2015-08-14       Impact factor: 1.784

10.  Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill.

Authors:  Lars Donath; Oliver Faude; Eric Lichtenstein; Corina Nüesch; Annegret Mündermann
Journal:  J Neuroeng Rehabil       Date:  2016-01-20       Impact factor: 4.262

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  1 in total

1.  Assessment of Agreement Between a New Application to Compute the Wisconsin Gait Score and 3-Dimensional Gait Analysis, and Reliability of the Application in Stroke Patients.

Authors:  Agnieszka Guzik; Andżelina Wolan-Nieroda; Mariusz Drużbicki
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

  1 in total

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