- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03195751
Wearable Technology in Shoulder Range of Motion
Wearable Technology in Shoulder Range of Motion: Validation of a Motion-Based Software Development Kit
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The Capture mobile application or "app" (FocusMotion, Santa Monica, California) was custom designed and securely installed on a single (CCF) smartphone used by the Lead Co-Investigator, Dr. Ramkumar, and serves as a private user interface for the proprietary software development kit (SDK). The Capture app uses a Bluetooth connection to pair with the Pebble Time Round smartwatch to allow for remote timekeeping of the smartphone while in use by the participant. The smartwatch was loaned by FocusMotion to the investigators for the purpose of the study.
This proprietary SDK (FocusMotion) processes user motions recorded by the hardware (accelerometer, gyroscope, magnometer). As data is collected, the software development kit (SDK) classifies the motion as repetitive or non-repetitive, and repetitive motions are further analyzed. As the user completes a workout or movement, the SDK tracks the number of repetitions performed, technique, and rest time. The SDK can provide real-time feedback to the user regarding their form by comparing the movement to a template of an ideal motion for that particular action. The SDK is compatible with any operating system, phone, or wearable device, providing seamless integration with pre-existing technologies.
Measurements from the SDK will be compared to those taken with a manual goniometer for four shoulder maneuvers (abduction, forward flexion, internal rotation, external rotation). Each of the 10 subjects will perform 5 trials of each maneuver for consistency and reproducibility.
Participants without shoulder pain, with full shoulder range of motion and without prior shoulder surgery will be recruited. No other exclusion criteria will be instituted. Individuals will be recruited from CCF undergraduate and graduate medical education programs.
Statistical analysis will be employed to assess the shoulder motion arcs measured from both the SDK and the manual goniometer. Univariate analyses (chi-square for categorical and t-test for continuous variables) will be performed to compare the angle measurements from each patient and angle measurement. Power analysis indicated a 94% chance of detecting a large effect size and a 60% chance of detecting a medium effect size between the two groups at the 5% confidence level. For 1 sample t-tests, power analysis indicated that there was a 92% chance of detecting a medium effect size significant at the 5% confidence level. All data analysis will be performed using Microsoft. Excel analytics software version 14.5.4 A p-value cutoff of <0.05 was used to determine statistical significance.
All adverse events will be reported to the Institutional Review Board.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Ohio
-
Cleveland, Ohio, United States, 44195
- Cleveland Clinic
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- No prior shoulder pain
- No prior shoulder surgeries
- No limitations in shoulder range of motion
Exclusion Criteria:
- Prior shoulder surgeries
- Past or present shoulder pain
- Any limitations in shoulder range of motion
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Manual Goniometer measurements
Measurements of shoulder range of motion using manual goniometer
|
A manual goniometer was used to measure the range of motion of the shoulder.
Other Names:
|
Software development kit measurements
Measurements of shoulder range of motion using a proprietary SDK
|
This proprietary SDK (FocusMotion) processes user motions recorded by the hardware (accelerometer, gyroscope, magnometer).
As data is collected, the software development kit (SDK) classifies the motion as repetitive or non-repetitive, and repetitive motions are further analyzed.
As the user completes a movement, the SDK tracks the number of repetitions performed, technique, and rest time.
The SDK can provide real-time feedback to the user regarding their form by comparing the movement to a template of an ideal motion for that particular action.
The SDK is compatible with any operating system, phone, or wearable device, providing seamless integration with pre-existing technologies.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Difference in range of motion measurements between goniometer and software development kit measurement
Time Frame: 24 hours
|
The outcome measure difference will be in degrees.
|
24 hours
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 17-800
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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