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

NCT07698912 | Completed

• 1 other identifier: A-ER-109-063
• Study Type: interventional
• Target: 376
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

Seniors; Frailty; Exercise; AI

Outcome Measures

Primary Outcomes (2)

• Muscle strength of knee extensors

  Muscle strength of knee extensors is assessed using a MicroFET2 handheld dynamometer.

  baseline

• Muscle strength of knee extensors

  Muscle strength of knee extensors is assessed using a MicroFET2 handheld dynamometer.

  through study completion, an average of 13 days

Secondary Outcomes (15)

• Timed Up and Go test (TUG)

  basline

• Gait speed (4-meter walk test)

  baseline

• Clinical Frailty Scale (CFS)

  baseline

• Short Portable Mental Status Questionnaire (SPMSQ)

  baseline

• Geriatric Depression Scale (GDS-5)

  baseline

Study Arms (1)

Frail older adults

EXPERIMENTAL

Participants will undergo AIoT-based feedback assistive strengthening ergometer exercise program.

Device: AIoT-based Feedback Assistive Strengthening Ergometer

Interventions

AIoT-based Feedback Assistive Strengthening Ergometer DEVICE

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.

Frail older adults

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Older Adult (65+)

You may qualify if:

• Adult over 65 years old
• The Clinical Frailty Scale (CFS) score of 3 to 7 (hospitalized patients)

You may not qualify if:

• Limb disability or joint deformation
• Admission to the intensive care unit, scheduled surgery, anticipated discharge within three days, medical contraindications to physical activity, or enrollment in hospice care.

Sponsors & Collaborators

• National Cheng Kung University: lead

Study Sites (1)

National Cheng Kung University

Tainan, Taiwan, 704, Taiwan

Location

MeSH Terms

Conditions

Frailty; Motor Activity

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms; Behavior

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: OTHER
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: MD

Study Record Dates

• First Submitted: July 2, 2026
• First Posted: July 13, 2026
• Study Start: May 1, 2020
• Primary Completion: July 31, 2023
• Study Completion: July 31, 2023
• Last Updated: July 13, 2026

Record last verified: 2023-07

Locations

TW (1)