Literature DB >> 22938548

Gait disorder rehabilitation using vision and non-vision based sensors: a systematic review.

Asraf Ali1, Kenneth Sundaraj, Badlishah Ahmad, Nizam Ahamed, Anamul Islam.   

Abstract

Even though the amount of rehabilitation guidelines has never been greater, uncertainty continues to arise regarding the efficiency and effectiveness of the rehabilitation of gait disorders. This question has been hindered by the lack of information on accurate measurements of gait disorders. Thus, this article reviews the rehabilitation systems for gait disorder using vision and non-vision sensor technologies, as well as the combination of these. All papers published in the English language between 1990 and June, 2012 that had the phrases "gait disorder", "rehabilitation", "vision sensor", or "non vision sensor" in the title, abstract, or keywords were identified from the SpringerLink, ELSEVIER, PubMed, and IEEE databases. Some synonyms of these phrases and the logical words "and", "or", and "not" were also used in the article searching procedure. Out of the 91 published articles found, this review identified 84 articles that described the rehabilitation of gait disorders using different types of sensor technologies. This literature set presented strong evidence for the development of rehabilitation systems using a markerless vision-based sensor technology. We therefore believe that the information contained in this review paper will assist the progress of the development of rehabilitation systems for human gait disorders.

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Year:  2012        PMID: 22938548      PMCID: PMC4362430          DOI: 10.17305/bjbms.2012.2484

Source DB:  PubMed          Journal:  Bosn J Basic Med Sci        ISSN: 1512-8601            Impact factor:   3.363


  54 in total

1.  Gait status 17-26 years after selective dorsal rhizotomy.

Authors:  Nelleke G Langerak; Nicholas Tam; Christopher L Vaughan; A Graham Fieggen; Michael H Schwartz
Journal:  Gait Posture       Date:  2011-11-01       Impact factor: 2.840

2.  Development of a real-time three-dimensional spinal motion measurement system for clinical practice.

Authors:  Christina Goodvin; Edward J Park; Kevin Huang; Kelly Sakaki
Journal:  Med Biol Eng Comput       Date:  2006-11-11       Impact factor: 2.602

3.  Knee and ankle joint torque-angle relationships of multi-joint leg extension.

Authors:  Daniel Hahn; Matthias Olvermann; Jan Richtberg; Wolfgang Seiberl; Ansgar Schwirtz
Journal:  J Biomech       Date:  2011-05-28       Impact factor: 2.712

4.  Walking to the beat of different drums: practical implications for the use of acoustic rhythms in gait rehabilitation.

Authors:  Melvyn Roerdink; Paulina J M Bank; C Lieke E Peper; Peter J Beek
Journal:  Gait Posture       Date:  2011-03-31       Impact factor: 2.840

5.  Development of postural control during gait in typically developing children: the effects of dual-task conditions.

Authors:  Sujitra Boonyong; Ka-Chun Siu; Paul van Donkelaar; Li-Shan Chou; Marjorie H Woollacott
Journal:  Gait Posture       Date:  2011-11-30       Impact factor: 2.840

6.  Kinematic variability and local dynamic stability of upper body motions when walking at different speeds.

Authors:  Jonathan B Dingwell; Laura C Marin
Journal:  J Biomech       Date:  2006       Impact factor: 2.712

7.  Effects of muscle fatigue on gait characteristics under single and dual-task conditions in young and older adults.

Authors:  Urs Granacher; Irene Wolf; Anja Wehrle; Stephanie Bridenbaugh; Reto W Kressig
Journal:  J Neuroeng Rehabil       Date:  2010-11-09       Impact factor: 4.262

8.  Trunk and center of mass movements during gait in children with juvenile idiopathic arthritis.

Authors:  Eva Broström; Maria Ortqvist; Yvonne Haglund-Akerlind; Stefan Hagelberg; Elena Gutierrez-Farewik
Journal:  Hum Mov Sci       Date:  2007-03-06       Impact factor: 2.161

9.  Balance perturbation system to improve balance compensatory responses during walking in old persons.

Authors:  Amir Shapiro; Itshak Melzer
Journal:  J Neuroeng Rehabil       Date:  2010-07-15       Impact factor: 4.262

10.  The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications.

Authors:  Lars Mündermann; Stefano Corazza; Thomas P Andriacchi
Journal:  J Neuroeng Rehabil       Date:  2006-03-15       Impact factor: 4.262

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  4 in total

1.  Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke.

Authors:  Jorge Latorre; Carolina Colomer; Mariano Alcañiz; Roberto Llorens
Journal:  J Neuroeng Rehabil       Date:  2019-07-26       Impact factor: 4.262

2.  Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.

Authors:  Tasriva Sikandar; Mohammad F Rabbi; Kamarul H Ghazali; Omar Altwijri; Mahdi Alqahtani; Mohammed Almijalli; Saleh Altayyar; Nizam U Ahamed
Journal:  Sensors (Basel)       Date:  2021-04-17       Impact factor: 3.576

3.  Gait Recognition Using Optical Motion Capture: A Decision Fusion Based Method.

Authors:  Li Wang; Yajun Li; Fei Xiong; Wenyu Zhang
Journal:  Sensors (Basel)       Date:  2021-05-17       Impact factor: 3.576

Review 4.  A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation.

Authors:  Hossein Mousavi Hondori; Maryam Khademi
Journal:  J Med Eng       Date:  2014-12-10
  4 in total

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