The Effect of IoT-based Smart Exercises System in the Senior Adults
NCT ID: NCT04137939
Last Updated: 2025-12-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
400 participants
INTERVENTIONAL
2019-07-15
2027-08-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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Control group
Ctrl group is instructed to maintain their original daily life
No interventions assigned to this group
Smart Exercise group
SE group are instructed to perform one session of upper extremity ergometer and one session of lower extremity ergometer in a week, 30 minute per session, lasting for 12 weeks.
smart exercise system
The smart exercise system contains an upper extremity ergometer (UEE) and a lower extremity ergometer (LEE). The revolutions per minute (RPM) of the ergometer are instructed to maintain in 55-65. The resistance of UEE is set from level 1 at the first session, and adjusted by rating of perceived exertion (RPE) of each user after each end of the session. The resistance of LEE is set from level 2 at the first session, and adjusted by rating of perceived exertion (RPE) of each user after each end of the session.
Interventions
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smart exercise system
The smart exercise system contains an upper extremity ergometer (UEE) and a lower extremity ergometer (LEE). The revolutions per minute (RPM) of the ergometer are instructed to maintain in 55-65. The resistance of UEE is set from level 1 at the first session, and adjusted by rating of perceived exertion (RPE) of each user after each end of the session. The resistance of LEE is set from level 2 at the first session, and adjusted by rating of perceived exertion (RPE) of each user after each end of the session.
Eligibility Criteria
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Inclusion Criteria
* No significant limb disability or joint deformation
* No history of cardiovascular disease
* Never lost balance due to dizziness in the past 12 months
Exclusion Criteria
* history of cardiovascular disease
* lost balance due to dizziness in the past 12 months
* cognitive deficits
50 Years
ALL
Yes
Sponsors
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National Cheng-Kung University Hospital
OTHER
Responsible Party
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Principal Investigators
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Li-Chieh Kuo, Ph. D.
Role: STUDY_DIRECTOR
National Cheng-Kung University Hospital
Locations
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National Cheng-Kung University
Tainan, Taiwan, Taiwan
Countries
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Central Contacts
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Facility Contacts
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Li-Chieh Kuo, Ph. D.
Role: primary
References
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Lin CC, Lin YS, Yeh CH, Huang CC, Kuo LC, Su FC. An Exergame-Integrated IoT-Based Ergometer System Delivers Personalized Training Programs for Older Adults and Enhances Physical Fitness: A Pilot Randomized Controlled Trial. Gerontology. 2023;69(6):768-782. doi: 10.1159/000526951. Epub 2023 Jan 6.
Other Identifiers
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B-BR-106-072
Identifier Type: -
Identifier Source: org_study_id