AUTHOR=de Castro Kate N. , Donoso Brown Elena V. , Miller Neilan Rachael , Wallace Sarah E. 

TITLE=Feasibility of Using Commercially Available Accelerometers to Monitor Upper Extremity Home Practice With Persons Post-stroke: A Secondary Data Analysis

JOURNAL=Frontiers in Virtual Reality

VOLUME=2

YEAR=2021

URL=https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2021.642434

DOI=10.3389/frvir.2021.642434

ISSN=2673-4192

ABSTRACT=<p><bold>Background:</bold> Adherence to home practice rehabilitation programs is important for efficacy; however, adherence is challenging for many individuals post-stroke. Accelerometers have emerged as a potential means to support home practice. This secondary data analysis explored the use of a commercially available accelerometer with custom software to collect and analyze data to corroborate self-reported practice collected during a home program.</p><p><bold>Methods:</bold> The initial study was a single subject design trial that investigated the effect of preferred music listening on adherence to an upper extremity home practice program (Trial Number NCT02906956. <ext-link ext-link-type="uri" xlink:href="https://ClinicalTrials.gov" xmlns:xlink="http://www.w3.org/1999/xlink">ClinicalTrials.gov</ext-link>). The participants (<italic>n</italic> = 7) were post-stroke adults with aphasia and hemiparesis of the upper extremity. Participants completed home program exercises while wearing accelerometers and recorded practice times in a logbook. Data were collected, cleaned, processed, and analyzed to facilitate descriptive comparisons and clinical interpretations of accelerometer output data.</p><p><bold>Results:</bold> Across all participants, an average of 47% of data were captured and usable for analysis. Five out of seven participants self-reported longer practice times compared to accelerometer duration output by a mean of 66.5 s. Individual exercise set mean total angular velocity and standard deviation of acceleration demonstrated potential for use across time to monitor change.</p><p><bold>Conclusions:</bold> One challenge of integrating accelerometers into clinical practice is the amount of data loss and the steps for data processing. The comparisons of available accelerometer data to the self-reported logs, however, were generally representative. Future investigations should explore ways to increase data capture and accessibility of the data for feedback to the client and practitioner.</p>