Cargando…

Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution

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 inerti...

Descripción completa

Detalles Bibliográficos
Autores principales: Repnik, Eva, Puh, Urška, Goljar, Nika, Munih, Marko, Mihelj, Matjaž
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164634/
https://www.ncbi.nlm.nih.gov/pubmed/30135413
http://dx.doi.org/10.3390/s18092767
_version_ 1783359647249334272
author Repnik, Eva
Puh, Urška
Goljar, Nika
Munih, Marko
Mihelj, Matjaž
author_facet Repnik, Eva
Puh, Urška
Goljar, Nika
Munih, Marko
Mihelj, Matjaž
author_sort Repnik, Eva
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6164634
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61646342018-10-10 Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution Repnik, Eva Puh, Urška Goljar, Nika Munih, Marko Mihelj, Matjaž Sensors (Basel) Article 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. MDPI 2018-08-22 /pmc/articles/PMC6164634/ /pubmed/30135413 http://dx.doi.org/10.3390/s18092767 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Repnik, Eva
Puh, Urška
Goljar, Nika
Munih, Marko
Mihelj, Matjaž
Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title_full Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title_fullStr Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title_full_unstemmed Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title_short Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution
title_sort using inertial measurement units and electromyography to quantify movement during action research arm test execution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164634/
https://www.ncbi.nlm.nih.gov/pubmed/30135413
http://dx.doi.org/10.3390/s18092767
work_keys_str_mv AT repnikeva usinginertialmeasurementunitsandelectromyographytoquantifymovementduringactionresearcharmtestexecution
AT puhurska usinginertialmeasurementunitsandelectromyographytoquantifymovementduringactionresearcharmtestexecution
AT goljarnika usinginertialmeasurementunitsandelectromyographytoquantifymovementduringactionresearcharmtestexecution
AT munihmarko usinginertialmeasurementunitsandelectromyographytoquantifymovementduringactionresearcharmtestexecution
AT miheljmatjaz usinginertialmeasurementunitsandelectromyographytoquantifymovementduringactionresearcharmtestexecution