Academic Year 2016 - 2017No Descriptionhttps://hdl.handle.net/11416/1872024-03-28T20:19:24Z2024-03-28T20:19:24Z11There’s an App for That: Reliability of an iPhone App to Assess Upper Extremity Proprioception and StabilityLynch, James M.Smith, KeeleyPatel, VrundLuchan, Kaylahttps://hdl.handle.net/11416/1892022-11-03T16:33:26Z2017-03-01T00:00:00Zdc.title: There’s an App for That: Reliability of an iPhone App to Assess Upper Extremity Proprioception and Stability
dc.contributor.author: Lynch, James M.; Smith, Keeley; Patel, Vrund; Luchan, Kayla
dc.description.abstract: Background: The ability to maintain joint stability and motion control of the extremities is important in injury prevention/recovery. Quantitative measurement of proprioception, especially the upper extremity, is difficult.
Objective: We investigated the reliability of a custom iPhone app to compile accelerometer data and calculate a path length of movement over 20 seconds.
Design: This study used a prospective test-retest design. Subjects completed three trials on each upper extremity (RA and LA) 48 hours apart (MWF). A convenience sample of subjects was used.
Results: The mean path length for RA was 2669 with a standard error of 149, with LA being 2774 and 124.
The intraclass correlation coefficient was 0.86 for the right arm and 0.74 for the left arm across three trials.
Conclusions: The accelerometer in an iPhone 6 is a moderately reliable instrument for assessing motion control stability in the upper extremity. We plan to add additional data filtering to the app and repeat.
2017-03-01T00:00:00Z