Cited by 233Stroke Rehabilitation and RecoveryCerebral Palsy and Movement DisordersMotor Control and Adaptation

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Ambulatory Monitoring of Arm Movement Using Accelerometry: An Objective Measure of Upper-Extremity Rehabilitation in Persons With Chronic Stroke

Uswatte, Gitendra, Foo, Wai Leong, Olmstead, Harry, Lopez, Kristine, Holand, Ashleigh, Simms, Leslie Box·2005·Archives of Physical Medicine and Rehabilitation

DOI 10.1016/j.apmr.2005.01.010

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Abstract

Objective To evaluate the reliability and validity of accelerometry for measuring upper-extremity rehabilitation outcome.Design Validation study.Setting Data recorded in the community.Participants Consecutive Constraint-Induced Movement therapy (CIMT) patients (n = 10) and volunteer community residents with stroke (n = 10). All participants were more than 1 year poststroke and had mild to moderate motor impairment of the more affected arm.Intervention All study participants were asked to wear accelerometers outside the laboratory for 3 days immediately before and after treatment, or for an approximately equivalent no-treatment period (controls).Main outcome measures Participants wore an accelerometer on each arm, the chest, and the more affected leg and completed the Motor Activity Log (MAL), which is a semistructured interview of real-world arm use.Results Test-retest reliability of transformed accelerometer recordings was greater than .86. There was also a large increase in the ratio of transformed more- to less-impaired arm recordings in CIMT therapy patients (d' = 0.9, P < .05), while there was no change for controls. The correlation between this parameter and the MAL was .74 (P < .001).Conclusions Accelerometry provides an objective, real-world index of upper-extremity rehabilitation outcome and has good psychometric properties.

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Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Technique to improve chronic motor deficit after stroke.
Taub, E., Miller, N. E., Novack, T. A., Cook, E. W., Fleming, W. C., Nepomuceno, C., Connell, J., & Crago, J. E. (1993) · PubMed · Cited by 1,557
Objective Measurement of Functional Upper-Extremity Movement Using Accelerometer Recordings Transformed With a Threshold Filter
Uswatte, G., Miltner, W. H. R., Foo, B., Varma, M., Moran, S., & Taub, E. (2000) · Stroke · doi:10.1161/01.str.31.3.662 · Cited by 233
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Impact of upper limb complex regional pain syndrome type 1 on everyday life measured with a novel upper limb-activity monitor
Schasfoort, F. C., Bussmann, J. B. J., Zandbergen, A. M. A. J., & Stam, H. J. (2002) · Pain · doi:10.1016/s0304-3959(02)00298-1 · Cited by 48

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Uswatte, 2004, Participant-centered and objective measures of real-world arm function in persons with stroke [abstract], Circulation, 109, e231
Johnson, 2003, The validity and reliability of the 45-item upper extremity motor activity log [abstract], J Neurol Phys Ther, 27, 172

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Sobuh, M. M. D., Kenney, L. P. J., Tresadern, P. A., Twiste, M., & Thies, S. B. (2009) · Springer eBooks · doi:10.1007/978-0-387-87462-3_4 · Cited by 5
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You can teach an old dog new tricks:
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Shoulder function and outcome evaluation after surgery using 3D inertial sensors
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Self-citation
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Authors: Uswatte, G., Foo, W. L., Olmstead, H., Lopez, K., Holand, A., & Simms, L. B.
Affiliations: University of Alabama (US)
ORCID: Uswatte, Gitendra
Venue: Archives of Physical Medicine and Rehabilitation
Publisher: Elsevier BV
Published: 2005-07
Volume: 86
Issue: 7
Pages: 1498-1501
ISSN: 0003-9993 (ISSN-L)
DOI: 10.1016/j.apmr.2005.01.010
OpenAlex: W2014857359
Cited by: 233
References: 8
Citations by year: 2026: 8 · 2025: 7 · 2024: 17 · 2023: 8 · 2022: 15 · 2021: 14 · 2020: 10 · 2019: 15 · 2018: 11 · 2017: 15 · 2016: 10 · 2015: 17 · 2014: 16 · 2013: 13 · 2012: 11
FWCI: 8.13
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Archives of Physical Medicine and Rehabilitation (publishedVersion)
PubMed (publishedVersion)
Funders: Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD 34273, R01HD034273)
Topics: Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Health Sciences › Medicine › Rehabilitation › Cerebral Palsy and Movement Disorders
Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords: accelerometry, ambulatory monitoring, upper limb rehabilitation, chronic stroke, constraint-induced movement therapy, arm use, Motor Activity Log, test-retest reliability, outcome measure validity, objective outcome measures
MeSH terms: Stroke Rehabilitation, Activities of Daily Living, Female, Humans, Male, Middle Aged, Movement, Reproducibility of Results, Case-Control Studies, Monitoring, Ambulatory, Stroke, Upper Extremity

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Ambulatory Monitoring of Arm Movement Using Accelerometry: An Objective Measure of Upper-Extremity Rehabilitation in Persons With Chronic Stroke

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