Use of mobile device accelerometry to enhance evaluation of postural instability in Parkinson’s disease

Publication date: Available online 23 September 2016
Source:Archives of Physical Medicine and Rehabilitation
Author(s): Sarah J. Ozinga, Susan M. Linder, Jay L. Alberts
ObjectiveTo determine the accuracy of inertial measurement unit data from a mobile device using the mobile device relative to posturography to quantify postural stability in individuals with Parkinson's disease (PD).DesignCriterion standard.SettingMotor control laboratory at Cleveland Clinic.ParticipantsFourteen mild to moderate individuals with PD and 14 healthy age-matched community dwelling controls completed the project.InterventionsNot applicable.Main Outcome MeasuresCenter of mass (COM) acceleration measures were compared between the mobile device and NeuroCom force platform to determine accuracy of mobile device measurements during performance of the Sensory Organization Test (SOT). Analyses examined test-retest reliability for both systems and sensitivity of: 1) the Equilibrium Score from the SOT and 2) COM acceleration measures from the force platform and mobile device to quantify postural stability across populations.ResultsMetrics of COM acceleration from inertial measurement unit data and NeuroCom force platform were significantly correlated across balance conditions and groups (Pearson's r ranged from 0.35 to 0.97). The SOT Equilibrium Scores failed to discriminate individuals with PD and controls. However, the multi-planar measures of COM acceleration from the mobile device exhibited good to excellent reliability across SOT conditions and were able to discriminate individuals with PD and controls in conditions with the greatest balance demands.ConclusionsMetrics employing medial-lateral movement produce a more sensitive outcome than the Equilibrium Score in identifying postural instability associated with PD. Overall, the output from the mobile device provides an accurate and reliable method of rapidly quantifying balance in individuals with PD. The portable and affordable nature of a mobile device with the application make it ideally suited to utilize biomechanical data to aid in clinical decision-making.



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