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Video game exercise may help older adults' balance, study plans to test

Recruiting · Tarsus University

What this means

This is a planned study that has not reported results yet. It will compare game-based exercise with standard balance exercise in 40 older adults over eight weeks.

Plain-English summary written by an AI model from the registry listing.

Status
Recruiting
Who can join
Ages 65–80 · 40 older adults in nursing homes and rehabilitation centers
Where
1 site

Contacts and how to join ↗

The science

Registered title
Effects of Rehabilitative Exergame Training on Foot Muscle Activity, Balance, and Mobility in Older Adults
Phase
Not applicable
Study type
interventional
Conditions
Aging, Foot Muscle Dysfunction, Sarcopenia, Age-Related Muscle Weakness
What is tested
Exergame-based Balance and Foot Muscle Training, Conventional Functional Balance Training
Sponsor
Tarsus University
Ages
65 Years to 80 Years
Dates
First posted Jan 22, 2026 · updated Aug 11, 2026

Registry summary

This study is designed as a randomized controlled trial. A total of 40 healthy older adults residing in private and public nursing homes and rehabilitation centers in Mersin will be enrolled. Participants will be randomly assigned to either the intervention group (Group 1) or the control group (Group 2).

The intervention group will receive rehabilitative interactive game-based exercise training, while the control group will receive functional balance exercise training. Both groups will participate in exercise sessions three times per week, with each session lasting 40 minutes, over a period of 8 weeks.

Participants will undergo pre- and post-intervention assessments, including:

i) clinical tests and measurements for cognitive, functional, and balance evaluation; ii) surface electromyography (sEMG) measurements recorded during the Functional Reach Test (FRT); and iii) biomechanical measurements obtained via integrated inertial measurement unit (IMU) sensors (accelerometer and gyroscope) and the Becure game board.

Electrophysiological and biomechanical data will be analyzed using statistical comparisons, correlation analyses, and regression models. Variables derived from time, frequency, and time-frequency domain analyses will be examined to identify potential sEMG and biomechanical biomarkers.

Sites (1)

  • Fatma kübra çekok, Tarsus, Mersi̇n, Turkey (Türkiye)

Related treatments

Exercise

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