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Recruiting NCT04137939

The Effect of IoT-based Smart Exercises System in the Senior Adults

No phase Interventional Elderly Exercise

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: smart exercise system.
Who it may be relevant to
Registry conditions: Elderly Exercise. Basic parameters: from 50 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Taiwan
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

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Official title

Smart Health Care and Innovative Technology Service Model Plan : Development of Innovative Health Promotion System for Senior Adults

Overview

Subjects are divided into two groups, (1) Control (Ctrl) and (2) Smart Exercise (SE) group. Ctrl group are instructed to maintain their daily life. SE participants are instructed to do exercise with smart exercise system twice per week for 12 weeks. The physical fitness tests and questionnaire of both group are performed before and after the 12-week exercise program.

Detailed description

The smart exercise system contain an upper extremity cycle ergometer (UEE) and a lower extremity cycle ergometer (LEE). SE group are instructed to do once session of UEE and once session of LEE per week, 30 minute per session, lasting for 12 weeks. Before each exercise, the physiological parameter are measured to ensure safety. During the exercise sessions, exercise-related metrics, including workload, cadence (revolutions per minute, RPM), exercise duration, heart rate, and facial action units (AUs), will be continuously recorded in real time. Ratings of perceived exertion will also be collected at regular intervals throughout the exercise sessions.

Interventions

  • Device 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

Primary outcome measures

  • 30 second chair stand test [Time frame: baseline]
  • 30 second chair stand test [Time frame: after 12-week intervention]
Secondary outcome measures (12)
  • BMI [Time frame: baseline]
  • BMI [Time frame: after 12-week intervention]
  • SMI [Time frame: baseline]
  • SMI [Time frame: after 12-week intervention]
  • Back scratch [Time frame: baseline]
  • Back scratch [Time frame: after 12-week intervention]
  • Chair sit-&-reach test [Time frame: baseline]
  • Chair sit-&-reach test [Time frame: after 12-week intervention]
  • Six-minute walk test [Time frame: baseline]
  • Six-minute walk test [Time frame: after 12-week intervention]
  • 2-minute step test [Time frame: baseline]
  • 2-minute step test [Time frame: after 12-week intervention]

Eligibility 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

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Single blind
Primary purpose
Other

Study locations

Taiwan · 1 center
  • National Cheng-Kung University — Tainan

Publications

  • 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. PMID 36617413

Identifiers

NCT: NCT04137939 · B-BR-106-072

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗