IoT-based smart exercise program for older adults.
Smart Health Care and Innovative Technology Service Model Plan : Development of Innovative Health Promotion System for Senior Adults
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
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 400 (estimated) |
| Ages | 50 Years and up |
| Sex | All |
| Sponsor | National Cheng-Kung University Hospital Academic / other |
| Locations | 1 site (Tainan, Taiwan) |
| Trial ID | NCT04137939 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: 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.
Eligibility criteria
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 this trial is running
Tainan, Taiwan
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.