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Wearable Sensor-based Balance Training for Patients With Knee Osteoarthritis

Explore the Effectiveness of a Sensor-based Interactive Exercise Training on Functional Performance in Patients With Knee Osteoarthritis

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02620462
Enrollment
24
Registered
2015-12-03
Start date
2015-02-28
Completion date
2017-06-30
Last updated
2016-05-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Knee Osteoarthritis

Keywords

Postural Balance, Pain, Gait, Physical Activity Level

Brief summary

Knee osteoarthritis (KOA) is one of the leading causes of lower limb disability among the elderly and can cause loss of knee joint proprioception that contributes towards deterioration of postural balance. Maintaining a good postural stability is essential while performing everyday functional activities and to avoid falls. Exercise training has been reported to reduce pain as well as improve performance of functional tasks in patients with KOA however compliance to exercise can be challenging due to pain, lack of motivation and traditional nature of exercise that can easily overtax patients. Furthermore, there are not exercise programs that are specifically designed for patients with KOA in order to address lost knee joint proprioception. Recent studies have also demonstrated that visual feedback during exercise can enhance the benefits of exercise training. Therefore, the aim of the proposed study is to implement an interactive sensor-based exercise training to improve postural balance, gait and activities of daily living in patients with KOA.

Detailed description

The exercise intervention procedure is based on wearable sensor game-based balance-training program (Exergame). Subjects will perform progressive balance exercises such as ankle reaching or weight shifting, obstacle crossing, and ankle trail making task (i.e. motor-cognitive task). Real-time visual/audio lower-extremity joint motion feedback will be provided using wearable sensors (LEGSys, Biosensics LLC, Cambridge, MA, USA) to assist and encourage subjects to accurately execute each exercise task. The same wearable sensor technology is also used to quantify changes in balance and gait. Changes in balance, gait, fear of falling, physical activity, pain, and quality of life parameters will be assessed at the beginning and conclusion of the training program. Subjects will perform sensor-based interactive balance training (on computer screen), 2 x week, for a period of 6 weeks. The training consists of three balance tasks shown on a computer screen (1. ankle reaching task or weight shifting , 2. obstacle negotiation task, and 3. ankle trail making task (i.e. motor-cognitive task) intended to improve postural stability.

Interventions

DEVICEWearable sensor-based exercise training

The device provides real-time visual feedback of joint movement during balance exercise

Sponsors

University of Arizona
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* age 18 and above * ability to walk 50 m independently (with or without aid) * ability to stand for 5 minutes .

Exclusion criteria

* disorder other than osteoarthritis that may severely affect gait and balance

Design outcomes

Primary

MeasureTime frameDescription
Body Sway as an indicator of postural control6 weeksBody sway including ankle sway, hip sway, and center of mass sway

Secondary

MeasureTime frameDescription
Knee injury and Osteoarthritis Outcome Score6 weeksKnee injury and Osteoarthritis Outcome Score measured by KOOS
Gait6 weeksSpatio-temporal parameters of gait including gait speed, double support, and stride length
Pain6 weeksPain intensity will be assessed using visual analogue scale

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026