The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis
- PMID: 29494998
- DOI: 10.1016/j.gaitpost.2018.02.023
The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis
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.
Keywords: Dual-task; Gait modifications; Knee osteoarthritis; Motor learning; Real-time feedback.
Copyright © 2018 Elsevier B.V. All rights reserved.
Similar articles
-
Gait retraining using real-time feedback in patients with medial knee osteoarthritis: Feasibility and effects of a six-week gait training program.Knee. 2018 Oct;25(5):814-824. doi: 10.1016/j.knee.2018.05.014. Epub 2018 Jun 20. Knee. 2018. PMID: 29933935
-
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.J Neuroeng Rehabil. 2018 Aug 15;15(1):78. doi: 10.1186/s12984-018-0419-2. J Neuroeng Rehabil. 2018. PMID: 30111337 Free PMC article.
-
Comparison of mirror, raw video, and real-time visual biofeedback for training toe-out gait in individuals with knee osteoarthritis.Arch Phys Med Rehabil. 2014 Oct;95(10):1912-7. doi: 10.1016/j.apmr.2014.05.016. Epub 2014 Jun 6. Arch Phys Med Rehabil. 2014. PMID: 24910929 Clinical Trial.
-
Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention.Gait Posture. 2014;40(1):11-9. doi: 10.1016/j.gaitpost.2014.03.189. Epub 2014 Apr 6. Gait Posture. 2014. PMID: 24768525 Review.
-
Effect of exercise and gait retraining on knee adduction moment in people with knee osteoarthritis.Proc Inst Mech Eng H. 2014 Feb;228(2):190-9. doi: 10.1177/0954411914521155. Epub 2014 Jan 23. Proc Inst Mech Eng H. 2014. PMID: 24458100 Review.
Cited by
-
Modeling and Prediction of Wearable Energy Harvesting Sliding Shoes for Metabolic Cost and Energy Rate Outside of the Lab.Sensors (Basel). 2020 Dec 3;20(23):6915. doi: 10.3390/s20236915. Sensors (Basel). 2020. PMID: 33287288 Free PMC article.
-
Learning Gait Modifications for Musculoskeletal Rehabilitation: Applying Motor Learning Principles to Improve Research and Clinical Implementation.Phys Ther. 2021 Feb 4;101(2):pzaa207. doi: 10.1093/ptj/pzaa207. Phys Ther. 2021. PMID: 33351940 Free PMC article.
-
The use of technology to support lifestyle interventions in knee osteoarthritis: A scoping review.Osteoarthr Cartil Open. 2023 Feb 9;5(2):100344. doi: 10.1016/j.ocarto.2023.100344. eCollection 2023 Jun. Osteoarthr Cartil Open. 2023. PMID: 36852286 Free PMC article.
-
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.Trials. 2021 Jul 22;22(1):477. doi: 10.1186/s13063-021-05422-2. Trials. 2021. PMID: 34294137 Free PMC article.
-
Foot progression angle estimation using a single foot-worn inertial sensor.J Neuroeng Rehabil. 2021 Feb 17;18(1):37. doi: 10.1186/s12984-021-00816-4. J Neuroeng Rehabil. 2021. PMID: 33596942 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources