Reliability and Validity of Kinect Detector for Fitness Tests and Gait Performance Analysis
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| ClinicalTrials.gov Identifier: NCT03733613 |
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Recruitment Status : Unknown
Verified July 2019 by Yea-Ru Yang, National Yang Ming University.
Recruitment status was: Recruiting
First Posted : November 7, 2018
Last Update Posted : August 1, 2019
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| Condition or disease | Intervention/treatment |
|---|---|
| Healthy Adults | Other: no intervention |
Background: Depending on nature and needs, physical fitness can be divided into healthy fitness and physical fitness (also known as competitive fitness). Healthy fitness includes cardio-respiratory fitness, muscle fitness, muscular endurance, flexibility, and body composition. Physical fitness includes coordination, speed, explosiveness, balance, agility, and reaction time. Although the monitoring of fitness is very important, most of the tests need to be assisted by professionally trained fitness inspectors, so that the public who wants to regularly check their fitness status will facing a dilemma-- insufficient of inspectors. In the face of such a situation, the somatosensory detector may be a choice which is relatively objective, convenient and no need to rely on the inspectors. Therefore, the validity and retest reliability of the somatosensory detector need to be verified in order to achieve accurate and objective measurement results.
Research purposes: To verify the retest reliability and validity of the somatosensory detector on physical fitness and gait performance.
Methods: The trial will enroll 60 subjects, 30 of them were healthy individuals between the ages of 20 and 65, and 30 are healthy elderly than 65 years of age. The exclusion criteria including: (1) those who are unable to follow the instructions and who have orthopedic, nervous system or cardiopulmonary system disorders, or who have abnormal gait pattern, or who are affected by the above physiological system disorders. Subjects will receive two tests, there's a one-week interval between each test. In the first test, the fitness assessment of the fitness inspector and the somatosensory detector was performed simultaneously, and the fitness evaluation of the somatosensory detector was performed only for the second time. And use statistical software to analyze the reliability and validity of the somatosensory detector.
Statistical Analysis: Using SPSS 20.0 for data archiving and statistical analysis, the reliability and validity of the test will be detected by intraclass correlation one-way random model, and presenting by the intraclass correlation coefficient and 95% confidence interval.
| Study Type : | Observational |
| Estimated Enrollment : | 60 participants |
| Observational Model: | Other |
| Time Perspective: | Other |
| Official Title: | To Verify the Reliability and Validity of Kinect Detector While Apply to Physical Fitness Tests and Gait Performance Analysis |
| Actual Study Start Date : | November 1, 2018 |
| Estimated Primary Completion Date : | October 31, 2019 |
| Estimated Study Completion Date : | October 31, 2019 |
| Group/Cohort | Intervention/treatment |
|---|---|
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Healthy adults
Subjects will receive pre and post-test, in order to verify the test-retest reliability of the Somatosensory detector
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Other: no intervention
no intervention |
- Gait speed [ Time Frame: Change from baseline at one week ]Gait speed is calculated using distance in meters and time in seconds.
- Gait cadence [ Time Frame: Change from baseline at one week ]Cadence is the rate at which a person walk, expressed in steps per minute.
- Gait stride length [ Time Frame: Change from baseline at one week ]The stride length is the distance between two successive placements of the same foot.
- One leg standing test [ Time Frame: Change from baseline at one week ]To test balance ability
- Functional forward reach test [ Time Frame: Change from baseline at one week ]To test functional balance performance
- Timed up and go test [ Time Frame: Change from baseline at one week ]To test functional balance performance
- Upper arm curl test [ Time Frame: Change from baseline at one week ]To test functional muscle strength of upper extremities
- 30 seconds sit-stand-sit test [ Time Frame: Change from baseline at one week ]To test functional muscle strength of lower extremities
- 2 minutes stepping test [ Time Frame: Change from baseline at one week ]To test cardiopulmonary ability
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
| Ages Eligible for Study: | 20 Years to 80 Years (Adult, Older Adult) |
| Sexes Eligible for Study: | All |
| Accepts Healthy Volunteers: | Yes |
| Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- healthy adults
Exclusion Criteria:
- those unable to follow to instructions
- those have abnormal gait pattern which caused by orthopedics system disorders, nervous system disorders or cardio-respiratory disorders
- those with abnormal movement performance which caused by physiological system obstacles
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03733613
| Contact: Yea-Ru Yang, Ph.D. | +88628267279 | yryang@ym.edu.tw |
| Taiwan | |
| National Yang-Ming University | Recruiting |
| Taipei, Taiwan | |
| Contact: Yea-Ru Yang, PhD +886228267279 yryang@ym.edu.tw | |
| Principal Investigator: Yea-Ru Yang, PhD | |
| Responsible Party: | Yea-Ru Yang, Professor, National Yang Ming University |
| ClinicalTrials.gov Identifier: | NCT03733613 |
| Other Study ID Numbers: |
YM106054E |
| First Posted: | November 7, 2018 Key Record Dates |
| Last Update Posted: | August 1, 2019 |
| Last Verified: | July 2019 |
| Studies a U.S. FDA-regulated Drug Product: | No |
| Studies a U.S. FDA-regulated Device Product: | No |
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Kinect somatosensory detector physical fitness gait analysis |

