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The Effects of an AIoT-Based Exercise System on Frail Older Adults
Sponsor: National Cheng Kung University
Summary
This clinical trial aims to evaluate the effectiveness of an Artificial Intelligence of Things (AIoT)-based feedback assistive strengthening ergometer (AIFASE) exercise system on frail older adults in geriatric wards. Baseline assessments will include physical fitness, functional performance, and frailty severity. Muscle strength of the major muscle groups in the upper and lower extremities will be evaluated at both baseline and post-intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, rate of perceived exertion (RPE), and blood oxygen saturation (SpO2) will be continuously and simultaneously collected for analysis.
Official title: AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult
Key Details
Gender
All
Age Range
65 Years - Any
Study Type
INTERVENTIONAL
Enrollment
376
Start Date
2020-05-01
Completion Date
2023-07-31
Last Updated
2026-07-13
Healthy Volunteers
No
Conditions
Interventions
AIoT-based Feedback Assistive Strengthening Ergometer
The system provides individualized exercise programs based on baseline physical fitness levels and dynamically adjusts the training intensity according to physiological feedback. The system also continuously records exercise-related device data, personal physiological parameters.
Locations (1)
National Cheng Kung University
Tainan, Taiwan, Taiwan