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The Effects of an AIoT-Based Exercise System on Frail Older Adults

NCT07698912 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 376

Last updated 2026-07-13

No results posted yet for this study

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.

Conditions

  • Frail Older Adults

Interventions

DEVICE

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.

Sponsors & Collaborators

  • National Cheng Kung University

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-05-01
Primary Completion
2023-07-31
Completion
2023-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07698912 on ClinicalTrials.gov