Literature DB >> 17023243

Validity of accelerometry for monitoring real-world arm activity in patients with subacute stroke: evidence from the extremity constraint-induced therapy evaluation trial.

Gitendra Uswatte1, Carol Giuliani, Carolee Winstein, Angelique Zeringue, Laura Hobbs, Steven L Wolf.   

Abstract

OBJECTIVE: To examine the psychometric properties of an objective method for assessing real-world arm activity in a large sample with subacute stroke.
DESIGN: Validation study.
SETTING: Community. PARTICIPANTS: Persons 3 to 9 months poststroke (N=169) with mild to moderate motor impairment of their hemiparetic arm enrolled in a multisite, randomized clinical trial of constraint-induced movement therapy.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Participants wore an accelerometer on each arm outside the laboratory for 3 days before and after treatment or an equivalent no-treatment period. They also completed the Actual Amount of Use Test (AAUT), which is an observational measure of spontaneous more-impaired arm use, and the Motor Activity Log (MAL), which is an interview assessing more-impaired arm use in daily life.
RESULTS: Low-pass-filtered accelerometer recordings were reliable (r range, >.8) and stable (P range, >.48). Their validity was also supported. Correlations calculated across all participants at baseline between the ratio of more-impaired to less-impaired arm accelerometer recordings and AAUT and MAL scores were .60 and .52, respectively.
CONCLUSIONS: Accelerometry provides an objective, real-world index of more-impaired arm activity with good psychometric properties.

Entities:  

Mesh:

Year:  2006        PMID: 17023243     DOI: 10.1016/j.apmr.2006.06.006

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  69 in total

1.  Minimal detectable change of the actual amount of use test and the motor activity log: the EXCITE Trial.

Authors:  Shuya Chen; Steven L Wolf; Qin Zhang; Paul A Thompson; Carolee J Winstein
Journal:  Neurorehabil Neural Repair       Date:  2012-01-24       Impact factor: 3.919

2.  Adherence to accelerometry measurement of community ambulation poststroke.

Authors:  Sharon Barak; Samuel S Wu; Yunfeng Dai; Pamela W Duncan; Andrea L Behrman
Journal:  Phys Ther       Date:  2013-09-12

3.  Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training.

Authors:  Sunghoon I Lee; Catherine P Adans-Dester; Matteo Grimaldi; Ariel V Dowling; Peter C Horak; Randie M Black-Schaffer; Paolo Bonato; Joseph T Gwin
Journal:  IEEE J Transl Eng Health Med       Date:  2018-05-02       Impact factor: 3.316

4.  Greater activation of secondary motor areas is related to less arm use after stroke.

Authors:  Kristen J Kokotilo; Janice J Eng; Martin J McKeown; Lara A Boyd
Journal:  Neurorehabil Neural Repair       Date:  2009-09-08       Impact factor: 3.919

Review 5.  Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice.

Authors:  Bruce H Dobkin; Clarisa Martinez
Journal:  Curr Neurol Neurosci Rep       Date:  2018-10-06       Impact factor: 5.081

Review 6.  Functional recovery following stroke: capturing changes in upper-extremity function.

Authors:  Lisa A Simpson; Janice J Eng
Journal:  Neurorehabil Neural Repair       Date:  2012-10-16       Impact factor: 3.919

7.  Using sensors to measure activity in people with stroke.

Authors:  George D Fulk; Edward Sazonov
Journal:  Top Stroke Rehabil       Date:  2011 Nov-Dec       Impact factor: 2.119

8.  Effects of elbow immobilization on upper extremity activity.

Authors:  Christina M Webber; Alexander Y Shin; Kenton R Kaufman
Journal:  Clin Biomech (Bristol, Avon)       Date:  2020-07-16       Impact factor: 2.063

9.  The probability of choosing both hands depends on an interaction between motor capacity and limb-specific control in chronic stroke.

Authors:  Rini Varghese; Jason J Kutch; Nicolas Schweighofer; Carolee J Winstein
Journal:  Exp Brain Res       Date:  2020-09-03       Impact factor: 1.972

10.  A behavioral observation system for quantifying arm activity in daily life after stroke.

Authors:  Gitendra Uswatte; Laura Hobbs Qadri
Journal:  Rehabil Psychol       Date:  2009-11
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