IoT-based smart exercise program for older adults.
Official title: Smart Health Care and Innovative Technology Service Model Plan : Development of Innovative Health Promotion System for Senior Adults
Run by National Cheng-Kung University Hospital · NCT04137939 · Data updated 2026-11-12
This test tries a connected smart exercise system with upper- and lower-body cycle ergometers for people over 50 to see if twice-weekly guided sessions improve fitness compared with maintaining usual activity.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | National Cheng-Kung University Hospital Academic / other |
| Locations | 1 site (Tainan, Taiwan) |
| Status | Recruiting |
| Started | July 15, 2019 |
| Main results expected | August 31, 2027 |
| Study ends | August 31, 2027 |
| Registry record updated | July 8, 2026 |
| Trial ID | NCT04137939 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults over 50 who can move without significant limb or joint problems, have no history of cardiovascular disease, have not experienced balance loss from dizziness in the past year, and have intact cognition.
✕Probably not a fit
People with significant limb disability or joint deformity, a history of cardiovascular disease, recent dizziness-related balance loss, or cognitive deficits would likely be excluded and not receive benefit from this program.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Participants are assigned to a control group asked to maintain their usual activities or to a Smart Exercise (SE) group that uses an IoT-based system for 12 weeks. SE participants complete one upper-extremity and one lower-extremity cycle ergometer session per week, each lasting 30 minutes, for a total of two sessions weekly. Physiological measures are taken before each session, heart rate and revolutions per minute are monitored continuously during exercise, and rating of perceived exertion is recorded after each session. Physical fitness tests and questionnaires are performed before and after the 12-week program to compare changes between groups.
Why it matters
Potential benefit: If successful, the program could help older adults safely improve physical fitness and make activity easier to track and personalize.
How similar studies have gone: Supervised exercise programs and some connected/IoT exercise platforms for older adults have shown modest fitness and safety benefits, but IoT-based ergometer systems of this exact design remain relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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 Exclusion Criteria: * limb disability or joint deformation * history of cardiovascular disease * lost balance due to dizziness in the past 12 months * cognitive deficits
Where it's running
-
National Cheng-Kung University
Tainan, Taiwan, Taiwan Recruiting
Study contacts
- Study coordinator: Li-Chieh Kuo, Ph. D.
- Email: jkkuo@mail.ncku.edu.tw
- Phone: 886-62353535
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.