The Effect of an AIoT-Based Smart Exercise System in Older Adults

ConditionsExerciseSeniors
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age50+
SponsorI-Shou University

About this trial

This clinical trial aims to evaluate the effectiveness of an artificial intelligence of things (AIoT)-based exercise system for seniors. Participants will undergo a 12-week AIoT-based cycle ergometer training program. Physical fitness and functional performance will be assessed at baseline and after completion of the intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, oxygen consumption, perceived exertion, and facial expressions, will be continuously and simultaneously collected for analysis.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Adult over 50 years old

No significant limb disability or joint deformation

No history of cardiovascular disease

Never lost balance due to dizziness in the past 12 months

Disqualifiers

Limb disability or joint deformation

History of cardiovascular disease

Lost balance due to dizziness in the past 12 months

Cognitive deficits

Trial design

Design model

Single group

Treatments tested in this trial

  • AIoT-based cycle ergometer exercise system

    Device

    AIoT-based cycle ergometer exercise system The system also continuously records exercise-related device data, personal physiological parameters, and facial action units in a structured and systematic manner.

Treatment groups

200 Participants
are divided into 1 treatment group
Group A: AIoT-based ExerciseExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

30 second chair stand test

Number of full stands that can completed in 30 seconds with arms folded across chest.

Time frame
baseline
2

30 second chair stand test

Number of full stands that can be completed 30 seconds with arms folded across chest.

Time frame
Within 7 days after completion of the 12-week intervention

Secondary outcomes

1

BMI

Sarcopenia weight in kilograms divided by the square of height in meters is recorded as Body Mass Index (BMI).

Time frame
baseline
2

BMI

Participants's weight in kilograms divided by the square of height in meters is recorded as Body Mass Index (BMI).

Time frame
Within 7 days after completion of the 12-week intervention
3

Up and Go test

Number of seconds required to get up from a seated position, walk 8 feet, turn, and return to seated position.

Time frame
baseline
4

Up and Go test

Number of seconds required to get up from a seated position, walk 8 feet, turn, and return to seated position.

Time frame
Within 7 days after completion of the 12-week intervention

Other outcomes

Sponsors and contacts

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I-Shou University

Lead sponsor

National Cheng-Kung University Hospital

Collaborator