Literature DB >> 22425191

Evaluation of a visual feedback system in gait retraining: a pilot study.

Daniel Hamacher1, Dietrich Bertram, Cassandra Fölsch, Lutz Schega.   

Abstract

Abnormal gait pattern of the frontal plane (i.e. Duchenne gait and Trendelenburg gait) may be caused by a variety of diseases. The aim of this pilot study was to evaluate the instantaneous effect of a visual feedback system on frontal plane pelvis and trunk movements in order to use it in patients with THR in subsequent studies. A total of 24 women (45-65 years) were included in the study. According to acute functional impairments the subjects were assigned to the control group (CG, no gait disorders, n=15, age=59±11 years, BMI=27±4) or to the intervention group (IG, n=9, age=61±4, BMI=29±5), respectively. First, in Measurement 1 (M1) kinematic reference values were captured in a standardized clinical gait analysis (MVN, XSens). Afterwards, the influence of a visual real-time feedback on gait pattern was examined while using the feedback system (M2). While there was a significant difference of IG vs. CG in M1 in the mean inclination regarding pelvis and trunk movements, this was not detected in M2. Therefore it is concluded, especially in subjects with abnormal gait pattern, that the visualization leads to an improvement of the movement pattern of pelvis and trunk in the frontal plane while using the device.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22425191     DOI: 10.1016/j.gaitpost.2012.02.012

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  8 in total

1.  Comparison of three validated systems to analyse spinal shape and motion.

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2.  Ability of Wearable Accelerometers-Based Measures to Assess the Stability of Working Postures.

Authors:  Liangjie Guo; Junhui Kou; Mingyu Wu
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 4.614

3.  Evaluation of auditory and visual feedback for airflow interruption.

Authors:  Matthew R Hoffman; Adam L Rieves; Ketan Surender; Erin E Devine; Jack J Jiang
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4.  Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study.

Authors:  Oonagh M Giggins; Kevin T Sweeney; Brian Caulfield
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Review 5.  Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.

Authors:  Matevž Hribernik; Anton Umek; Sašo Tomažič; Anton Kos
Journal:  Sensors (Basel)       Date:  2022-04-14       Impact factor: 3.847

Review 6.  Virtual sensory feedback for gait improvement in neurological patients.

Authors:  Yoram Baram
Journal:  Front Neurol       Date:  2013-10-14       Impact factor: 4.003

7.  Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion.

Authors:  Quentin Mourcou; Anthony Fleury; Céline Franco; Frédéric Klopcic; Nicolas Vuillerme
Journal:  Sensors (Basel)       Date:  2015-09-15       Impact factor: 3.576

8.  Accuracy of Base of Support Using an Inertial Sensor Based Motion Capture System.

Authors:  Liangjie Guo; Shuping Xiong
Journal:  Sensors (Basel)       Date:  2017-09-12       Impact factor: 3.576

  8 in total

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