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Feasibility of Using Commercially Available Accelerometers to Monitor Upper Extremity Home Practice With Persons Post-stroke: A Secondary Data Analysis
被引:2
|作者:
de Castro, Kate N.
[1
]
Donoso Brown, Elena V.
[1
]
Miller Neilan, Rachael
[2
]
Wallace, Sarah E.
[3
]
机构:
[1] Duquesne Univ, Rangos Sch Hlth Sci, Dept Occupat Therapy, Pittsburgh, PA 15282 USA
[2] Duquesne Univ, McAnulty Coll Liberal Arts, Dept Math & Comp Sci, Pittsburgh, PA USA
[3] Duquesne Univ, Rangos Sch Hlth Sci, Dept Speech Language Pathol, Commun & Cognit Lab, Pittsburgh, PA USA
来源:
关键词:
accelerometers;
rehabilatation;
stroke;
upper extremity;
home exercise;
hemiparesis;
VALIDITY;
REHABILITATION;
STROKE;
D O I:
10.3389/frvir.2021.642434
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
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.
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