Wearable Technology in Shoulder Range of Motion

NCT ID: NCT03195751

Last Updated: 2017-10-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

10 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-09-13

Study Completion Date

2017-09-23

Brief Summary

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The scope of the research is to determine if a motion-based software development kit may substitute for a manual goniometer. If so, this opens up the possibility of remote telemonitoring of upper extremities patients.

Detailed Description

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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.

Conditions

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Normal Upper Extremity

Keywords

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telemonitoring

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Manual Goniometer measurements

Measurements of shoulder range of motion using manual goniometer

Manual Goniometer Measurements

Intervention Type DEVICE

A manual goniometer was used to measure the range of motion of the shoulder.

Software development kit measurements

Measurements of shoulder range of motion using a proprietary SDK

Software development kit measurements

Intervention Type DEVICE

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.

Interventions

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Software development kit measurements

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.

Intervention Type DEVICE

Manual Goniometer Measurements

A manual goniometer was used to measure the range of motion of the shoulder.

Intervention Type DEVICE

Other Intervention Names

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SDK Goniometer

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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The Cleveland Clinic

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Joseph P Iannotti, MD PhD

Role: PRINCIPAL_INVESTIGATOR

The Cleveland Clinic

Locations

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Cleveland Clinic

Cleveland, Ohio, United States

Site Status

Countries

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United States

Other Identifiers

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17-800

Identifier Type: -

Identifier Source: org_study_id