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

Frontiers in Virtual Reality

Sarah E. Wallace¹  Rachael Miller Neilan²  Elena V. Donoso Brown³  Kate N. de Castro³ 

[1] Communication and Cognition Laboratory, Department of Speech Language Pathology, Rangos School of Health Sciences, Duquesne University, Pittsburgh, PA, United States;Department of Mathematics and Computer Science, McAnulty College of Liberal Arts, Duquesne University, Pittsburgh, PA, United States;Department of Occupational Therapy, Rangos School of Health Sciences, Duquesne University, Pittsburgh, PA, United States;

关键词: accelerometers;    rehabilatation;    stroke;    upper extremity;    home exercise;    hemiparesis;   

DOI  :  10.3389/frvir.2021.642434

来源: DOAJ

【 摘 要 】

Background: 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.Methods: 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. ClinicalTrials.gov). The participants (n = 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.Results: 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.Conclusions: 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.

【 授权许可】

Unknown