Literature DB >> 20590285

Gait modification via verbal instruction and an active feedback system to reduce peak knee adduction moment.

Ariel V Dowling1, David S Fisher, Thomas P Andriacchi.   

Abstract

The purpose of this study was to introduce a simple gait training method using real-time gait modification to reduce the peak knee adduction moment during walking by producing a subtle weight bearing shift to the medial side of the foot. The hypothesis of this study was that this weight shift could be achieved via either verbal instruction or an active feedback system, and that the weight shift would result in a reduction in the first peak knee adduction moment compared with the control tests. Nine individuals were tested during walking using two intervention methods: verbal instruction and an active feedback system placed on the right shoe. The first peak of the knee adduction moment for each condition was assessed using a motion capture system and force plate. The active feedback system significantly reduced (14.2%) the peak knee adduction moment relative to the control. This study demonstrated that a subtle weight bearing shift to the medial side of the foot produced with an active feedback system during walking reduced the first peak of the knee adduction moment and suggests the potential application of this method to slow the rate of progression of medial compartment knee osteoarthritis.

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Year:  2010        PMID: 20590285     DOI: 10.1115/1.4001584

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  11 in total

1.  Closing the gap between bench and bedside research for early arthritis therapies (EARTH): report from the AOSSM/NIH U-13 Post-Joint Injury Osteoarthritis Conference II.

Authors:  Constance R Chu; Bruce D Beynnon; Joseph A Buckwalter; William E Garrett; Jeffrey N Katz; Scott A Rodeo; Kurt P Spindler; Robert A Stanton
Journal:  Am J Sports Med       Date:  2011-07       Impact factor: 6.202

2.  Gait modification to treat knee osteoarthritis.

Authors:  Benjamin J Fregly
Journal:  HSS J       Date:  2011-12-28

3.  Real-Time Three-Dimensional Knee Moment Estimation in Knee Osteoarthritis: Toward Biodynamic Knee Osteoarthritis Evaluation and Training.

Authors:  Sang Hoon Kang; Song Joo Lee; Joel M Press; Li-Qun Zhang
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-05-09       Impact factor: 3.802

4.  Effects of active feedback gait retraining to produce a medial weight transfer at the foot in subjects with symptomatic medial knee osteoarthritis.

Authors:  Jennifer C Erhart-Hledik; Jessica L Asay; Caitlin Clancy; Constance R Chu; Thomas P Andriacchi
Journal:  J Orthop Res       Date:  2017-02-09       Impact factor: 3.494

5.  Biofeedback for Gait Retraining Based on Real-Time Estimation of Tibiofemoral Joint Contact Forces.

Authors:  Claudio Pizzolato; Monica Reggiani; David J Saxby; Elena Ceseracciu; Luca Modenese; David G Lloyd
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-18       Impact factor: 3.802

6.  Are mechanics different between male and female runners with patellofemoral pain?

Authors:  Richard W Willy; Kurt T Manal; Erik E Witvrouw; Irene S Davis
Journal:  Med Sci Sports Exerc       Date:  2012-11       Impact factor: 5.411

7.  Real-time tracking of knee adduction moment in patients with knee osteoarthritis.

Authors:  Sang Hoon Kang; Song Joo Lee; Li-Qun Zhang
Journal:  J Neurosci Methods       Date:  2013-12-19       Impact factor: 2.390

Review 8.  Haptic wearables as sensory replacement, sensory augmentation and trainer - a review.

Authors:  Peter B Shull; Dana D Damian
Journal:  J Neuroeng Rehabil       Date:  2015-07-20       Impact factor: 4.262

9.  Trainer in a pocket - proof-of-concept of mobile, real-time, foot kinematics feedback for gait pattern normalization in individuals after stroke, incomplete spinal cord injury and elderly patients.

Authors:  Daniel Schließmann; Maria Nisser; Christian Schuld; Till Gladow; Steffen Derlien; Laura Heutehaus; Norbert Weidner; Ulrich Smolenski; Rüdiger Rupp
Journal:  J Neuroeng Rehabil       Date:  2018-05-29       Impact factor: 4.262

10.  Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.

Authors:  Angelos Karatsidis; Rosie E Richards; Jason M Konrath; Josien C van den Noort; H Martin Schepers; Giovanni Bellusci; Jaap Harlaar; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2018-08-15       Impact factor: 4.262

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