Literature DB >> 20534362

The use of gait analysis in the treatment of pediatric foot and ankle disorders.

Tim Theologis1, Julie Stebbins.   

Abstract

Assessment of foot pathology during walking should form an integral part of the clinical evaluation of children. Simple observation and video recording have limitations and are not quantifiable. Three-dimensional analysis of foot motion during walking can provide invaluable information on the dynamic function of the foot and can contribute to clinical decision making. As motion analysis technology advances, the accuracy and reliability of the dynamic assessment of the foot during walking will increase further, allowing clinicians to rely confidently on this information during patient assessment and the study of treatment outcomes. It is logical to expect that objective and quantifiable assessment of gait should be undertaken before and after treatment that sets gait improvement as one of its aims. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20534362     DOI: 10.1016/j.fcl.2010.02.002

Source DB:  PubMed          Journal:  Foot Ankle Clin        ISSN: 1083-7515            Impact factor:   1.653


  7 in total

1.  Estimation of Temporal Gait Events from a Single Accelerometer Through the Scale-Space Filtering Idea.

Authors:  Iván González; Jesús Fontecha; Ramón Hervás; José Bravo
Journal:  J Med Syst       Date:  2016-10-06       Impact factor: 4.460

2.  Kinematic foot types in youth with equinovarus secondary to hemiplegia.

Authors:  Joseph J Krzak; Daniel M Corcos; Diane L Damiano; Adam Graf; Donald Hedeker; Peter A Smith; Gerald F Harris
Journal:  Gait Posture       Date:  2014-11-10       Impact factor: 2.840

3.  An Ambulatory System for Gait Monitoring Based on Wireless Sensorized Insoles.

Authors:  Iván González; Jesús Fontecha; Ramón Hervás; José Bravo
Journal:  Sensors (Basel)       Date:  2015-07-09       Impact factor: 3.576

4.  Evaluation of multi-segmental kinematic modelling in the paediatric foot using three concurrent foot models.

Authors:  Ryan Mahaffey; Stewart C Morrison; Wendy I Drechsler; Mary C Cramp
Journal:  J Foot Ankle Res       Date:  2013-10-31       Impact factor: 2.303

5.  Clinical outcomes following ankle fracture: a cross-sectional observational study.

Authors:  Ganit Segal; Avi Elbaz; Alon Parsi; Ziv Heller; Ezequiel Palmanovich; Meir Nyska; Zeev Feldbrin; Benjamin Kish
Journal:  J Foot Ankle Res       Date:  2014-11-28       Impact factor: 2.303

6.  Motion video-based quantitative analysis of the 'lifting-thrusting' method: a comparison between teachers and students of acupuncture.

Authors:  Wen-Chao Tang; Hua-Yuan Yang; Tang-Yi Liu; Ming Gao; Gang Xu
Journal:  Acupunct Med       Date:  2017-08-26       Impact factor: 2.267

7.  Biomechanics of the natural, arthritic, and replaced human ankle joint.

Authors:  Alberto Leardini; John J O'Connor; Sandro Giannini
Journal:  J Foot Ankle Res       Date:  2014-02-06       Impact factor: 2.303

  7 in total

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