Literature DB >> 29494998

The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis.

Rosie Richards1, Martin van der Esch2, Josien C van den Noort3, Jaap Harlaar4.   

Abstract

The objective of this study was to investigate the learning process of knee osteoarthritis (KOA) patients learning to change their foot progression angle (FPA) over a six-week toe-in gait training program. Sixteen patients with medial KOA completed a six-week toe-in gait training program with real-time biofeedback. Patients walked on an instrumented treadmill while receiving real-time feedback on their foot progression angle (FPA) with reference to a target angle. The FPA difference (difference between target and actual FPA) was analyzed during i) natural walking, ii) walking with feedback, iii) walking without feedback and iv) walking with a dual-task at the start and end of the training program. Self-reported difficulty and abnormality and time spent walking and training were also analyzed. The FPA difference during natural walking was significantly decreased from median 6.9 to median 3.6° i.e. by 3.3° in week six (p < 0.001); adding feedback reduced FPA difference to almost zero. However the dual-task condition increased the FPA difference at week one compared to the feedback condition (median difference: 1.8°, p = 0.022), but after training this effect was minimized (median difference: 0.6°, p = 0.167). Self-reported abnormality and difficulty decreased from median 5 to 3 and from median 6 to 3 on the NRS respectively (p < 0.05). Patients with medial KOA could reduce the FPA difference during natural walking after the gait retraining program, with some evidence of a reduction in the cognitive demand needed to achieve this. Automation of adaptions might need support from more permanent feedback using wearable technologies.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dual-task; Gait modifications; Knee osteoarthritis; Motor learning; Real-time feedback

Mesh:

Year:  2018        PMID: 29494998     DOI: 10.1016/j.gaitpost.2018.02.023

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


  8 in total

1.  Predicting knee adduction moment response to gait retraining with minimal clinical data.

Authors:  Nataliya Rokhmanova; Katherine J Kuchenbecker; Peter B Shull; Reed Ferber; Eni Halilaj
Journal:  PLoS Comput Biol       Date:  2022-05-16       Impact factor: 4.779

2.  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

3.  Learning Gait Modifications for Musculoskeletal Rehabilitation: Applying Motor Learning Principles to Improve Research and Clinical Implementation.

Authors:  Jesse M Charlton; Janice J Eng; Linda C Li; Michael A Hunt
Journal:  Phys Ther       Date:  2021-02-04

4.  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

Review 5.  Dual-Task Effects on Performance of Gait and Balance in People with Knee Pain: A Systematic Scoping Review.

Authors:  Rula Abdallat; Feras Sharouf; Kate Button; Mohammad Al-Amri
Journal:  J Clin Med       Date:  2020-05-21       Impact factor: 4.241

6.  Modeling and Prediction of Wearable Energy Harvesting Sliding Shoes for Metabolic Cost and Energy Rate Outside of the Lab.

Authors:  Peter B Shull; Haisheng Xia
Journal:  Sensors (Basel)       Date:  2020-12-03       Impact factor: 3.576

7.  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

8.  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

  8 in total

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