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Concurrent validity and reliability of an activity monitoring for rehabilitation (AMoR) platform for step counting and sitting/lying time in post-stroke individuals.
- Source :
- Topics in Stroke Rehabilitation; Mar2022, Vol. 29 Issue 2, p103-113, 11p
- Publication Year :
- 2022
-
Abstract
- Objective and reliable measurements to investigate daily behavior patterns in people with stroke could help therapeutic interventions after a stroke. To evaluate whether the Activity Monitoring for Rehabilitation (AMoR) platform has adequate concurrent validity and reliability for step counting and time spent sitting/lying in people post-stroke and to investigate its percentage accuracy for step counting at different walking speeds. Cross-sectional observational study. Fifty chronic post-stroke subjects used the AMoR platform and SAM simultaneously while a Video camera recorded the same activities during clinical trials. Spearman's correlation coefficient, the mean absolute percentage error, the intraclass correlation coefficient and Bland-Altman plot analyses were used to estimate the validity and reliability of the AMoR platform and StepWatch<superscript>TM</superscript> Activity Monitor (SAM). The accuracy percentage was calculated for each device and plotted as a function of the walking speed during the 10-meter walk test (10MWT). There was a very high correlation for step counting in all tests and a high correlation for time spent sitting/lying. The mean absolute percentage error values remained below 4% for step counting and time sitting/lying. The AMoR platform also showed excellent reliability for step counting and sitting/lying time, with values within the limit of agreement in the Bland-Altman plots. A high percentage of accuracy for step counting in the AMoR platform was observed during the 10MWT. The AMoR platform is valid and reliable for step counting and time spent sitting/lying, with a high percentage of accuracy at different walking speeds in the post-stroke population. [ABSTRACT FROM AUTHOR]
- Subjects :
- STATISTICS
WALKING speed
RESEARCH evaluation
CEREBROVASCULAR disease
CONFIDENCE intervals
RESEARCH methodology evaluation
GAIT in humans
CROSS-sectional method
CHRONIC diseases
WEARABLE technology
INTERVIEWING
PHYSICAL activity
SITTING position
ACCELEROMETRY
STROKE rehabilitation
INTRACLASS correlation
DESCRIPTIVE statistics
DATA analysis
DATA analysis software
VIDEO recording
Subjects
Details
- Language :
- English
- ISSN :
- 10749357
- Volume :
- 29
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- Topics in Stroke Rehabilitation
- Publication Type :
- Academic Journal
- Accession number :
- 155402758
- Full Text :
- https://doi.org/10.1080/10749357.2021.1886639