Effectiveness of Mobile Exergaming with Sensor-Based Visual Feedback as an Adjunct Therapy for Home-Based Quadriceps Exercise Training in Knee Osteoarthritis: A Prospective Randomized Controlled Trial
Abstract
Background: Exergame applications were introduced recently for orthopedic rehabilitation. This study aimed to evaluate the effectiveness of a 6-week home-based quadriceps exercise with mobile exergaming for treatment of primary knee osteoarthritis (KOA). Methods: A prospective randomized controlled trial was conducted in 56 primary KOA patients. All patients were allocated into two groups (n = 28 each group). Intervention group received the 6-week mobile exergaming program using a smartphone exercise game with a wearable wireless motion sensor. Control group received a standard 6-week exercise program. Outcomes were active knee arc of motion, quadriceps muscle power, visual analog scale score, timed “Up and Go” (TUG) test, and Knee Injury and Osteoarthritis Outcome Score (KOOS) at a 6-week follow-up. Results: At 6-week post-exercise, the intervention group significantly improved quadriceps power, arc of motion, VAS score at rest and on motion, TUG test, and KOOS-symptom domain compared to the control group (p < 0.05 all). No device- or exercise-related complications were found. Conclusions: Mobile exergaming with visual feedback control using a wearable wireless sensor significantly improves KOA outcomes compared to standard home-based exercise as early as 6 weeks post-application.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 56 participants or records.
Read the paper
Related studies
- Nano Biosensors: Properties, applications and electrochemical techniques
- Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics
- Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment
- Electrochemical determination of rutin by using NiFe2O4 nanoparticles-loaded reduced graphene oxide
- Application of Polyoxometalate-based composites for sensor systems: A review
- Sensitive Electrochemical and Thermal Detection of Human Noroviruses Using Molecularly Imprinted Polymer Nanoparticles Generated against a Viral Target
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.