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Study aim
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This study will be conducted with the aim of Comparison of three Conventional, Virtual Reality and Artificial intelligence balance training programs on balance and gait of elderly people.
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Design
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The present study is a stratified trial (male and female), with equal randomization (one-to-one ratio), in parallel, and includes a pretest/posttest design with a two-month follow-up that will be conducted on 48 elderly residents of a nursing home. Participants will be randomly divided into three groups: artificial intelligence exercises (n=16), virtual reality (n=16), and Conventional balance exercises (n=16).
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Settings and conduct
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The exercises in the intervention groups are performed for 8 weeks, 3 sessions per week for one hour, every other day. To assess the balance and gait of the subjects, balance indices (standing balance test, single-leg standing, rise and go time, functional reach, activity-specific balance confidence scale) and gait indices (gait speed, gait cadence, and gait stability ratio) are used.
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Participants/Inclusion and exclusion criteria
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Inclusion criteria included: 1- Obtaining informed consent from the elderly to participate in the study 2- Age range between 60-75 years 3- Mini-Mental State Examination (MMSE) score of 24 or higher 4- Ability to walk independently for at least 6 meters without using an assistive device and exclusion criteria included: 1- Having a serious visual or hearing impairment 2- Participants with significant cognitive impairment 3- Participants with unstable medical conditions (such as recent myocardial infarction, uncontrolled diabetes, fractures in the lower extremities) in the past 6 months.
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Intervention groups
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Intervention groups: artificial intelligence, virtual reality, and Conventional balance exercises
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Main outcome variables
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Balance situation