Literature DB >> 30703350

Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan.

Beth A Smith1, Catherine E Lang2.   

Abstract

Knowledge of upper limb activity in the natural environment is critical for evaluating the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of these data and have the potential to be less burdensome than self-report measures of activity. Sensors can capture many different variables of activity and daily performance, many of which could be useful in identifying deviation from typical movement behavior or measuring outcomes from rehabilitation interventions. Although it has potential, sensor measurement is just emerging, and there is a lack of consensus regarding which variables of daily performance are valid, sensitive, specific, and useful. We propose that symmetry of full-day upper limb movement is a key variable. We describe here that symmetry is valid, robustly observed within a narrow range across the lifespan in typical development, and shows evidence of being different in populations with neuromotor impairment. Key next steps include the determination of sensitivity, specificity, minimal detectable change, and minimal clinically important change/difference. This information is needed to determine whether an individual belongs to the typical or atypical group, whether change has occurred, and whether that change is beneficial.
Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Rehabilitation; Upper extremity

Mesh:

Year:  2019        PMID: 30703350      PMCID: PMC6645783          DOI: 10.1016/j.apmr.2019.01.004

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   4.060


  40 in total

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Review 8.  Valid and reliable instruments for arm-hand assessment at ICF activity level in persons with hemiplegia: a systematic review.

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5.  Effect of Unilateral Shoulder Disorder on the Stance Phase of Human Gait.

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6.  Day-to-Day Variability of Walking Performance Measures in Individuals Poststroke and Individuals With Parkinson Disease.

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7.  Determinants of Different Aspects of Upper-Limb Activity after Stroke.

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  7 in total

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