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Using inertial measurement units and electromyography to quantify movement during action research arm test execution
Čebašek, Eva (Author), Puh, Urška (Author), Goljar Kregar, Nika (Author), Munih, Marko (Author), Mihelj, Matjaž (Author)

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Abstract
In patients after stroke, ability of the upper limb is commonly assessed with standardised clinical tests that provide a complete upper limb assessment. This paper presents quantification of upper limb movement during the execution of Action research arm test (ARAT) using a wearable system of inertial measurement units (IMU) for kinematic quantification and electromyography (EMG) sensors for muscle activity analysis. The test was executed with each arm by a group of healthy subjects and a group of patients after stroke allocated into subgroups based on their clinical scores. Tasks were segmented into movement and manipulation phases. Each movement phase was quantified with a set of five parameters: movement time, movement smoothness, hand trajectory similarity, trunk stability, and muscle activity for grasping. Parameters vary between subject groups, between tasks, and between task phases. Statistically significant differences were observed between patient groups that obtained different clinical scores, between healthy subjects and patients, and between the unaffected and the affected arm unless the affected arm shows normal performance. Movement quantification enables differentiation between different subject groups within movement phases as well as for the complete task. Spearman’s rank correlation coefficient shows strong correlations between patient’s ARAT scores and movement time as well as movement smoothness. Weak to moderate correlations were observed for parameters that describe hand trajectory similarity and trunk stability. Muscle activity correlates well with grasping activity and the level of grasping force in all groups.

Language:English
Keywords:stroke, upper-limb movement, quantification, ARAT, inertial measurement unit, electromyography
Work type:Article (dk_c)
Tipology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
ZF - University College of Health Studies
Year:2018
Number of pages:23 str.
Numbering:Vol. 18, iss. 9, art. 2767
UDC:616.831-005.1:616.74-073.7
ISSN on article:1424-8220
DOI:10.3390/s18092767 This link opens in a new window
COBISS.SI-ID:5469803 This link opens in a new window
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Downloads:25
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0228
Name:Analiza in sinteza gibanja pri človeku in stroju

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.09.2018

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