Literature DB >> 28811046

Effect of real-time biofeedback on peak knee adduction moment in patients with medial knee osteoarthritis: Is direct feedback effective?

Rosie E Richards1, Josien C van den Noort2, Martin van der Esch3, Marjolein J Booij4, Jaap Harlaar5.   

Abstract

BACKGROUND: Gait modifications can reduce the knee adduction moment, a representation of knee loading. Reduced loading may help to slow progression of medial knee osteoarthritis. We aimed to investigate the response of patients with medial knee osteoarthritis to direct feedback on the knee adduction moment as a method for modifying the gait pattern, before and after training with specific gait modifications.
METHODS: Forty patients with medial knee osteoarthritis underwent 3D gait analysis on an instrumented-treadmill, while receiving real-time feedback on the peak knee adduction moment. Patients were trained with three different modifications; toe-in, wider steps and medial thrust gait. The response to real-time feedback on the knee adduction moment was measured before and after training. To evaluate the short term retention effect, we measured the changes without feedback. We also evaluated the effects on the knee flexion moment and at the hip and ankle joints.
FINDINGS: With direct feedback on the knee adduction moment, patients were initially unable to reduce the knee adduction moment. After training with specific modifications, peak knee adduction moment was reduced by 14% in response to direct feedback. Without feedback a 9% reduction in peak knee adduction moment was maintained. Hip moments were not increased with modified gait, but small increases in ankle adduction moment and knee flexion moment were observed.
INTERPRETATION: Real-time biofeedback directly on the knee adduction moment is a promising option for encouraging gait modifications to reduce knee loading, however only when combined with specific instructions on how to modify the gait.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Direct feedback; Gait modifications; Knee adduction moment; Knee flexion moment; Knee osteoarthritis; Real-time feedback

Mesh:

Year:  2017        PMID: 28811046     DOI: 10.1016/j.clinbiomech.2017.07.004

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  13 in total

1.  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

2.  Aberrant gait biomechanics in individuals with ACL reconstruction are magnified during treadmill walking.

Authors:  Derek R Dewig; Hallie R Mills; Alyssa Evans-Pickett; Brian G Pietrosimone; J Troy Blackburn
Journal:  J Biomech       Date:  2022-02-05       Impact factor: 2.712

3.  Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning.

Authors:  Issam Boukhennoufa; Zainab Altai; Xiaojun Zhai; Victor Utti; Klaus D McDonald-Maier; Bernard X W Liew
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

4.  Sagittal plane walking biomechanics in individuals with knee osteoarthritis after quadriceps strengthening.

Authors:  H C Davis; B A Luc-Harkey; M K Seeley; J Troy Blackburn; B Pietrosimone
Journal:  Osteoarthritis Cartilage       Date:  2019-01-18       Impact factor: 6.576

5.  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

6.  Foot progression angle estimation using a single foot-worn inertial sensor.

Authors:  Frank J Wouda; Stephan L J O Jaspar; Jaap Harlaar; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2021-02-17       Impact factor: 4.262

Review 7.  Does Gait Retraining Have the Potential to Reduce Medial Compartmental Loading in Individuals With Knee Osteoarthritis While Not Adversely Affecting the Other Lower Limb Joints? A Systematic Review.

Authors:  Jake Bowd; Paul Biggs; Cathy Holt; Gemma Whatling
Journal:  Arch Rehabil Res Clin Transl       Date:  2019-09-05

Review 8.  A new integrated behavioural intervention for knee osteoarthritis: development and pilot study.

Authors:  Stephen J Preece; Nathan Brookes; Anita E Williams; Richard K Jones; Chelsea Starbuck; Anthony Jones; Nicola E Walsh
Journal:  BMC Musculoskelet Disord       Date:  2021-06-08       Impact factor: 2.362

Review 9.  Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.

Authors:  Reed D Gurchiek; Nick Cheney; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

10.  Effects of real-time feedback during decline walking on kinematic and kinetic gait parameters in a healthy population: study protocol for a randomized trial - up and down.

Authors:  Klaus Widhalm; Sebastian Durstberger; Peter Putz
Journal:  Trials       Date:  2021-07-22       Impact factor: 2.279

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