AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases

Condition(s) studied

Investigational drug(s) / intervention(s)

Tai Chi Exercise Program: Participants will perform Tai Chi exercises guided by an AI-based mobile application. The program includes structured exercise sessions aimed at improving balance and mobility, with basic feedback provided by the application.

Baduanjin Exercise Program: Participants will perform Baduanjin exercises guided by an AI-based mobile application. The program consists of structured movements designed to support balance and physical function, with feedback delivered through the application.

Study summary

This study aims to examine the effects of an AI-based mobile application delivering Tai Chi and Baduanjin exercises on balance and fall risk in adults with chronic diseases.

Participants will be randomly assigned to Tai Chi, Baduanjin, or a control group over a 12-week period. The AI application will provide exercise guidance and basic feedback.

Outcomes will focus on balance and, fall risk, along with user interaction with the technology.

The results are expected to support the use of AI-assisted exercise programs in improving balance and reducing fall risk in individuals with chronic conditions.

Eligibility

Primary outcome measure(s)

• Balance Performance (Mini-BESTest Score) — Baseline and Week 12
  Balance will be assessed using the Mini-Balance Evaluation Systems Test (Mini-BESTest), a performance-based clinical scale measuring dynamic balance and postural control. Scores range from 0 to 28, with higher scores indicating better balance.
• Fall Risk (Timed Up and Go Test Time) — Baseline and Week 12
  Fall risk will be assessed using the Timed Up and Go (TUG) test, measured in seconds. Lower time indicates better functional mobility and lower risk of falls.

Trial sites (1)

More Alexandria University trials in Egypt