Literature DB >> 28518079

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers.

Catherine E Lang1, Kimberly J Waddell2, Joseph W Klaesner3, Marghuretta D Bland4.   

Abstract

A key reason for referral to rehabilitation services after stroke and other neurological conditions is to improve one's ability to function in daily life. It has become important to measure a person's activities in daily life, and not just measure their capacity for activity in the structured environment of a clinic or laboratory. A wearable sensor that is now enabling measurement of daily movement is the accelerometer. Accelerometers are commercially-available devices resembling large wrist watches that can be worn throughout the day. Data from accelerometers can quantify how the limbs are engaged to perform activities in peoples' homes and communities. This report describes a methodology to collect accelerometry data and turn it into clinically-relevant information. First, data are collected by having the participant wear two accelerometers (one on each wrist) for 24 h or longer. The accelerometry data are then downloaded and processed to produce four different variables that describe key aspects of upper limb activity in daily life: hours of use, use ratio, magnitude ratio, and the bilateral magnitude. Density plots can be constructed that visually represent the data from the 24 h wearing period. The variables and their resultant density plots are highly consistent in neurologically-intact, community-dwelling adults. This striking consistency makes them a useful tool for determining if upper limb daily performance is different from normal. This methodology is appropriate for research studies investigating upper limb dysfunction and interventions designed to improve upper limb performance in daily life in people with stroke and other patient populations. Because of its relative simplicity, it may not be long before it is also incorporated in clinical neurorehabilitation practice.

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Year:  2017        PMID: 28518079      PMCID: PMC5565027          DOI: 10.3791/55673

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  40 in total

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5.  Assessment of arm activity using triaxial accelerometry in patients with a stroke.

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8.  Does Task-Specific Training Improve Upper Limb Performance in Daily Life Poststroke?

Authors:  Kimberly J Waddell; Michael J Strube; Ryan R Bailey; Joseph W Klaesner; Rebecca L Birkenmeier; Alexander W Dromerick; Catherine E Lang
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  21 in total

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2.  Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors' and occupational therapists' perspectives.

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6.  Effects of mirror feedback during balanced exercise performance in the old people with mild cognitive impairment.

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7.  Accelerometer Measurements Indicate That Arm Movements of Children With Cerebral Palsy Do Not Increase After Constraint-Induced Movement Therapy (CIMT).

Authors:  Brianna M Goodwin; Emily K Sabelhaus; Ying-Chun Pan; Kristie F Bjornson; Kelly L D Pham; William O Walker; Katherine M Steele
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8.  Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan.

Authors:  Beth A Smith; Catherine E Lang
Journal:  Arch Phys Med Rehabil       Date:  2019-01-29       Impact factor: 4.060

9.  Methods for an Investigation of Neurophysiological and Kinematic Predictors of Response to Upper Extremity Repetitive Task Practice in Chronic Stroke.

Authors:  Stacey Harcum; Susan S Conroy; Amy Boos; Elsa Ermer; Huichun Xu; Min Zhan; Hegang Chen; Jill Whitall; Michael A Dimyan; George F Wittenberg
Journal:  Arch Rehabil Res Clin Transl       Date:  2019-09-10

10.  Feasibility of using acceleration-derived jerk to quantify bimanual arm use.

Authors:  Ying-Chun Preston Pan; Brianna Goodwin; Emily Sabelhaus; Keshia M Peters; Kristie F Bjornson; Kelly L D Pham; William Walker; Katherine M Steele
Journal:  J Neuroeng Rehabil       Date:  2020-03-16       Impact factor: 4.262

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