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Differences in EMG Burst Patterns During Grasping Dexterity Tests and Activities of Daily Living

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, May 2018
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Title
Differences in EMG Burst Patterns During Grasping Dexterity Tests and Activities of Daily Living
Published in
Frontiers in Bioengineering and Biotechnology, May 2018
DOI 10.3389/fbioe.2018.00068
Pubmed ID
Authors

Jen Rowson, Alaster Yoxall, Victor Gonzalez

Abstract

The aim of this study was to characterize the muscle activation patterns which underlie the performance of two commonly used grasping patterns and compare the characteristics of such patterns during dexterity tests and activities of daily living. EMG of flexor digitorum and extensor digitorum were monitored from 6 healthy participants as they performed three tasks related to activities of daily living (picking up a coin, drinking from a cup, feeding with a spoon) and three dexterity tests (Variable Dexterity Test-Precision, Variable Dexterity Test-Cylinder, Purdue Pegboard Test). A ten-camera motion capture system was used to simultaneously acquire kinematics of index and middle fingers. Spatiotemporal aspects of the EMG signals were analyzed and compared to metacarpophalangeal joint angle of index and middle fingers. The work has shown that a common rehabilitation test such as the Purdue Pegboard test is a poor representation of the muscle activation patterns for activities of daily living. EMG and joint angle patterns from the Variable Dexterity Tests which has been designed to more accurately reflect a range of ADl's were consistently comparable with tasks requiring precision and cylinder grip, reaffirming the importance of object size and shape when attempting to accurately assess hand function.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 4 16%
Student > Bachelor 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Unknown 4 16%
Readers by discipline Count As %
Nursing and Health Professions 7 28%
Engineering 7 28%
Computer Science 2 8%
Arts and Humanities 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2018.
All research outputs
#18,624,695
of 23,072,295 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,456
of 6,761 outputs
Outputs of similar age
#255,661
of 330,746 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#39
of 50 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,761 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.