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

AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07698912
Enrollment
376
Registered
2026-07-13
Start date
2020-05-01
Completion date
2023-07-31
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Frail Older Adults

Keywords

Seniors, Frailty, Exercise, AI

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.

Detailed description

At baseline, participants will undergo a personal health assessment and physical fitness evaluation. The personal health assessment includes collection of demographic information, past medical history, general health status, and clinical frailty scale. Physical fitness assessment consists of handgrip strength, Timed Up and Go test and 4-meter walk test. These baseline assessments will be used to individualize and guide the AIFASE exercise program. Following the baseline assessment, the intervention group will undergo training using an AIFASE exercise system. Muscle strength of the major muscle groups in the upper and lower extremities (elbow flexors, elbow extensors, knee flexors, and knee extensors) will be evaluated at both baseline and post-intervention. During the exercise sessions, exercise-related metrics, including workload, cadence (revolutions per minute, RPM), exercise duration, heart rate, and rate of perceived exertion (RPE), and blood oxygen saturation (SpO2) will be continuously recorded in real time.

Interventions

DEVICEAIoT-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

National Cheng Kung University
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

* 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.

Design outcomes

Primary

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

Secondary

MeasureTime frameDescription
Timed Up and Go test (TUG)baslineNumber of seconds required to get up from a seated position, walk 8 feet, turn, and return to seated position.
Gait speed (4-meter walk test)baselineTo measure the gait speed when participants walk across the test zone (4 meter).
Clinical Frailty Scale (CFS)baselineClinical Frailty Scale (CFS), a validated 9-point instrument in which a score of 1 indicates very fit status and a score of 9 indicates terminal illness.
Short Portable Mental Status Questionnaire (SPMSQ)baselineThe questionnaire is a brief 10-item clinical tool to quickly assess cognitive impairment in older adults. It evaluates short- and long-term memory, orientation, information about current events, and mathematical capacity.
Geriatric Depression Scale (GDS-5)baselineThe survey is a brief 5 questions to quickly assess depression, with scores ≥2 indicating possible depressive disorder in older adults.
Activities of Daily Living (ADLs)baselineThe ability to maintain daily living is evaluated by personal hygiene, dressing, eating, toileting, and mobility.
EQ-5D (EuroQol- 5 Dimensions)baselineEQ-5D is a standardized instrument with 5-item questionnaire for measuring generic health status. EQ-5D was first introduced in 1990 by the EuroQol Group. In which health status is measured in terms of five dimensions (5D); mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Rated level can be coded as a number 1, 2, or 3, which indicates having no problems for 1, having some problems for 2, and having extreme problems for 3. As a result, a person's health status can be defined by a 5-digit number, ranging from 11111 (having no problems in all dimensions) to 33333(having extreme problems in all dimensions).
Mini Nutritional Assessment-Short Form (MNA-SF)baselineThe nutritional status is evaluated by food intake, weight loss, mobility, stress, neuropsychology, and mobility. The scores less than 7 indicated malnutrition.
Muscle strength of elbow flexorsbaselineMuscle strength of elbow flexors is assessed using a MicroFET2 handheld dynamometer.
Muscle strength of elbow extensorsbaselineMuscle strength of elbow flexors is assessed using a MicroFET2 handheld dynamometer.
Muscle strength of knee flexorsbaselineMuscle strength of elbow flexors is assessed using a MicroFET2 handheld dynamometer.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 14, 2026