Lower Knee Joint Loading by Real-time Biofeedback Stair Walking Rehabilitation for Patients With MCKOA
NCT ID: NCT03734380
Last Updated: 2020-02-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
57 participants
INTERVENTIONAL
2021-01-01
2023-12-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Effects of Movement Retraining on Knee Loading in Individuals With Knee Osteoarthritis
NCT06208631
The Three-dimensional Gait Analysis of Medial Knee Osteoarthritis
NCT02878239
Effects of a Machine Learning-based Lower Limb Exercise Training System for Knee Pain
NCT05173064
Gait Retraining to Reduce Knee Osteoarthritis Pain
NCT01397981
Gait Modification Treatments for Knee Pathology
NCT03116230
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Given these considerations, this project has two primary aims. The investigators will: (1) first establish a machine-learning algorithm to predict KAM using IMU sensors during stair ascent and descent; and then (2) conduct a three-arm randomized controlled trial to compare the biomechanical and clinical difference between patients receiving a course of conventional laboratory-based stair retraining, sensor-based stair retraining, and walking exercise control (i.e., walking exercise without gait retraining).
Primary hypothesis
Hypothesis 1: The wearable IMUs will accurately predict KAM during stair negotiation using machine-learning algorithm, with at least 80% measurement agreement with conventional calculation of KAM.
Hypothesis 2: Patients randomized to the laboratory-based and sensor-based stair retraining conditions would evidence similar (i.e., weak and non-significant differences) reduction in KAM (primary outcome) and an improvement of symptoms (secondary outcomes), but that these subjects would evidence larger reductions in KAM than subjects assigned to the walking exercise control condition.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Laboratory-based gait retraining (LGR)
Subjects will attend 6 weekly sessions of stair ascent and descent exercise over six consecutive weeks. In each session, they walk at a self-selected speed on the instrumented staircase. The training time will be progressively increased from 15 to 30 minutes over the six sessions. The auditory feedback will be gradually removed in the last three sessions.
Laboratory-based gait retraining (LGR)
Subjects in the LGR group will be encouraged to modify the gait pattern (e.g. adjusting foot progression angle, performing medial knee thrust, and/or lateral trunk lean) to lower their KAM to 80% of respective average baseline KAM obtained during normal unmodified gait. Real-time auditory feedback will be delivered using stereo speakers from both sides of the staircase. A middle C (261.6 Hz) tone and a high-pitched C (4186.0 Hz) of equal intensity will be generated at a footfall below and above the targeted 80% value, respectively. They will be advised to maintain their new gait pattern during their daily living after training.
Sensor-based gait retraining (SGR)
Subjects will receive training similar to LGR, except the KAM measurement is based solely on inputs from IMUs embedded in the shoes. The training schedule, duration, and intensity will be identical to those of the LGR group.
Sensor-based gait retraining (SGR)
Subjects in the SGR group will receive training similar to LGR, except the KAM measurement is based solely on inputs from IMUs embedded in the shoes. In addition, the auditory feedback will be delivered through a pair of earphones connected to a smartphone, which has been pre-installed with an app for KAM measurement. They will be advised to maintain their new gait pattern during their daily living after training.
Walking exercise control (Ctrl)
Subjects will attend 6 weekly sessions of stair ascent and descent exercise over six consecutive weeks. In each session, they will walk on the same instrumented staircase at a self-selected pace without any guidance on gait modification. The training period and training time per session will be identical to the other two groups.
Walking exercise control (Ctrl)
Subjects in the Ctrl group will walk on the same instrumented staircase at a self-selected pace without any guidance on gait modification. The training period and training time per session will be identical to the other two groups. They will not be given any instructions for out-of-lab activities.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Laboratory-based gait retraining (LGR)
Subjects in the LGR group will be encouraged to modify the gait pattern (e.g. adjusting foot progression angle, performing medial knee thrust, and/or lateral trunk lean) to lower their KAM to 80% of respective average baseline KAM obtained during normal unmodified gait. Real-time auditory feedback will be delivered using stereo speakers from both sides of the staircase. A middle C (261.6 Hz) tone and a high-pitched C (4186.0 Hz) of equal intensity will be generated at a footfall below and above the targeted 80% value, respectively. They will be advised to maintain their new gait pattern during their daily living after training.
Sensor-based gait retraining (SGR)
Subjects in the SGR group will receive training similar to LGR, except the KAM measurement is based solely on inputs from IMUs embedded in the shoes. In addition, the auditory feedback will be delivered through a pair of earphones connected to a smartphone, which has been pre-installed with an app for KAM measurement. They will be advised to maintain their new gait pattern during their daily living after training.
Walking exercise control (Ctrl)
Subjects in the Ctrl group will walk on the same instrumented staircase at a self-selected pace without any guidance on gait modification. The training period and training time per session will be identical to the other two groups. They will not be given any instructions for out-of-lab activities.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. patients with early medial compartment knee OA (Kellgren \& Lawrence grade = 1 or 2);
3. self-reported knee pain at least once per week for the proceeding eight weeks;
4. patients should be able to walk unaided for at least 60 minutes.
Exclusion Criteria
2. have a known learning disability;
3. use a shoe insert or knee brace;
4. have received corticosteroid injection within the previous eight weeks;
5. have absolute contraindications for vigorous physical activities according to the American College of Sports Medicine;
6. in order to avoid floor effect of training, all subjects will undergo an initial screening and only those with KAM greater than 0.3 Nm/kg during level ground walking will be invited into the retraining study.
45 Years
80 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
City University of Hong Kong
OTHER
Chinese University of Hong Kong
OTHER
Bern University of Applied Sciences
OTHER
The Hong Kong Polytechnic University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr Roy Tsz-hei CHEUNG
Associate Professor
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Roy TH CHEUNG, PhD
Role: PRINCIPAL_INVESTIGATOR
The Hong Kong Polytechnic University
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
The Hong Kong Polytechnic University
Hong Kong, , China
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Cheung RTH, Ho KKW, Au IPH, An WW, Zhang JHW, Chan ZYS, Deluzio K, Rainbow MJ. Immediate and short-term effects of gait retraining on the knee joint moments and symptoms in patients with early tibiofemoral joint osteoarthritis: a randomized controlled trial. Osteoarthritis Cartilage. 2018 Nov;26(11):1479-1486. doi: 10.1016/j.joca.2018.07.011. Epub 2018 Aug 3.
Cheung RT, Ngai SP, Ho KK. Chinese adaptation and validation of the Knee Injury and Osteoarthritis Outcome Score (KOOS) in patients with knee osteoarthritis. Rheumatol Int. 2016 Oct;36(10):1449-54. doi: 10.1007/s00296-016-3539-7. Epub 2016 Jul 23.
Fong ICD, Li WSC, Tai WKJ, Tsang TWR, Zhang JH, Chen TLW, Baur H, Eichelberger P, Cheung RTH. Effect of foot progression angle adjustment on the knee adduction moment and knee joint contact force in runners with and without knee osteoarthritis. Gait Posture. 2018 Mar;61:34-39. doi: 10.1016/j.gaitpost.2017.12.029. Epub 2017 Dec 30.
Wei M, Chow TWS, Chan RHM. Heterogeneous feature subset selection using mutual information-based feature transformation. Neurocomputing. 2015;168:706-718. doi:10.1016/j.neucom.2015.05.053.
Yuqi Li, Jelfs B, Chan RHM. Entropy of surface EMG reflects object weight in grasp-and-lift task. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2530-2533. doi: 10.1109/EMBC.2017.8037372.
Zhang JH, Chan ZYS, Au IPH, An WW, Cheung RTH. Can the Newly Learnt Gait Pattern after Running Retraining be Translated to Untrained Conditions?: 1547 Board #8 May 31 1. Med Sci Sports Exerc. 2018;50:373. doi:10.1249/01.mss.0000536311.33285.d2.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
HSEARS20181031005
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.