Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model
The most common disorders of the musculoskeletal system are low back disorders. They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forc...
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Veröffentlicht in: | Australasian physical & engineering sciences in medicine 2020-06, Vol.43 (2), p.651-658 |
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description | The most common disorders of the musculoskeletal system are low back disorders. They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forces. But there are very few direct ways to calculate muscle forces and examine the effect of personal lift-assist devices, so biomechanical models ought to be used to examine the quality of these devices for assisting back muscles in lifting tasks. The purpose of this study is to examine the effect of a designed wearable lift-assist vest (WLAV) in the reduction of erector spinae muscle forces during symmetric squat lifting tasks. Two techniques of muscle calculation were used, the electromyography-based method and the optimization-based model. The first uses electromyography data of erector spinae muscles and its linear relationship with muscle force to estimate their forces, and the second uses a developed musculoskeletal model to calculate back muscle forces using an optimization-based method. The results show that these techniques reduce the average value of erector spinae muscle forces by 45.38 (± 4.80) % and 42.03 (± 8.24) % respectively. Also, both methods indicated approximately the same behaviour in changing muscle forces during 10 to 60 degrees of trunk flexion using WLAV. The use of WLAV can help to reduce the activity of low back muscles in lifting tasks by transferring the external load effect to the assistive spring system utilized in it, so this device may help people lift for longer. |
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They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forces. But there are very few direct ways to calculate muscle forces and examine the effect of personal lift-assist devices, so biomechanical models ought to be used to examine the quality of these devices for assisting back muscles in lifting tasks. The purpose of this study is to examine the effect of a designed wearable lift-assist vest (WLAV) in the reduction of erector spinae muscle forces during symmetric squat lifting tasks. Two techniques of muscle calculation were used, the electromyography-based method and the optimization-based model. The first uses electromyography data of erector spinae muscles and its linear relationship with muscle force to estimate their forces, and the second uses a developed musculoskeletal model to calculate back muscle forces using an optimization-based method. The results show that these techniques reduce the average value of erector spinae muscle forces by 45.38 (± 4.80) % and 42.03 (± 8.24) % respectively. Also, both methods indicated approximately the same behaviour in changing muscle forces during 10 to 60 degrees of trunk flexion using WLAV. The use of WLAV can help to reduce the activity of low back muscles in lifting tasks by transferring the external load effect to the assistive spring system utilized in it, so this device may help people lift for longer.</description><identifier>ISSN: 2662-4729</identifier><identifier>ISSN: 0158-9938</identifier><identifier>EISSN: 2662-4737</identifier><identifier>EISSN: 1879-5447</identifier><identifier>DOI: 10.1007/s13246-020-00872-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Approximation ; Biological and Medical Physics ; Biomechanics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Construction ; Electromyography ; Hoisting ; Lift ; Low back disorders ; Medical and Radiation Physics ; Muscles ; Musculoskeletal system ; Optimization ; Scientific Paper ; Wearable technology</subject><ispartof>Australasian physical & engineering sciences in medicine, 2020-06, Vol.43 (2), p.651-658</ispartof><rights>Australasian College of Physical Scientists and Engineers in Medicine 2020</rights><rights>Australasian College of Physical Scientists and Engineers in Medicine 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-c01fa64962fce643c7bbf50f7b7970bc30618932312571ab582290664192f8ca3</citedby><cites>FETCH-LOGICAL-c400t-c01fa64962fce643c7bbf50f7b7970bc30618932312571ab582290664192f8ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13246-020-00872-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13246-020-00872-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Ataei, Gholamreza</creatorcontrib><creatorcontrib>Abedi, Rasoul</creatorcontrib><creatorcontrib>Mohammadi, Yousef</creatorcontrib><creatorcontrib>Fatouraee, Nasser</creatorcontrib><title>Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model</title><title>Australasian physical & engineering sciences in medicine</title><addtitle>Phys Eng Sci Med</addtitle><description>The most common disorders of the musculoskeletal system are low back disorders. They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forces. But there are very few direct ways to calculate muscle forces and examine the effect of personal lift-assist devices, so biomechanical models ought to be used to examine the quality of these devices for assisting back muscles in lifting tasks. The purpose of this study is to examine the effect of a designed wearable lift-assist vest (WLAV) in the reduction of erector spinae muscle forces during symmetric squat lifting tasks. Two techniques of muscle calculation were used, the electromyography-based method and the optimization-based model. The first uses electromyography data of erector spinae muscles and its linear relationship with muscle force to estimate their forces, and the second uses a developed musculoskeletal model to calculate back muscle forces using an optimization-based method. The results show that these techniques reduce the average value of erector spinae muscle forces by 45.38 (± 4.80) % and 42.03 (± 8.24) % respectively. Also, both methods indicated approximately the same behaviour in changing muscle forces during 10 to 60 degrees of trunk flexion using WLAV. 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Abedi, Rasoul ; Mohammadi, Yousef ; Fatouraee, Nasser</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-c01fa64962fce643c7bbf50f7b7970bc30618932312571ab582290664192f8ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Approximation</topic><topic>Biological and Medical Physics</topic><topic>Biomechanics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Biophysics</topic><topic>Construction</topic><topic>Electromyography</topic><topic>Hoisting</topic><topic>Lift</topic><topic>Low back disorders</topic><topic>Medical and Radiation Physics</topic><topic>Muscles</topic><topic>Musculoskeletal system</topic><topic>Optimization</topic><topic>Scientific Paper</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ataei, Gholamreza</creatorcontrib><creatorcontrib>Abedi, Rasoul</creatorcontrib><creatorcontrib>Mohammadi, Yousef</creatorcontrib><creatorcontrib>Fatouraee, Nasser</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Australasian physical & engineering sciences in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ataei, Gholamreza</au><au>Abedi, Rasoul</au><au>Mohammadi, Yousef</au><au>Fatouraee, Nasser</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model</atitle><jtitle>Australasian physical & engineering sciences in medicine</jtitle><stitle>Phys Eng Sci Med</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>43</volume><issue>2</issue><spage>651</spage><epage>658</epage><pages>651-658</pages><issn>2662-4729</issn><issn>0158-9938</issn><eissn>2662-4737</eissn><eissn>1879-5447</eissn><abstract>The most common disorders of the musculoskeletal system are low back disorders. They cause significant direct and indirect costs to different societies especially in lifting occupations. To reduce the risk of low back disorders, mechanical lifting aids have been used to decrease low back muscle forces. But there are very few direct ways to calculate muscle forces and examine the effect of personal lift-assist devices, so biomechanical models ought to be used to examine the quality of these devices for assisting back muscles in lifting tasks. The purpose of this study is to examine the effect of a designed wearable lift-assist vest (WLAV) in the reduction of erector spinae muscle forces during symmetric squat lifting tasks. Two techniques of muscle calculation were used, the electromyography-based method and the optimization-based model. The first uses electromyography data of erector spinae muscles and its linear relationship with muscle force to estimate their forces, and the second uses a developed musculoskeletal model to calculate back muscle forces using an optimization-based method. The results show that these techniques reduce the average value of erector spinae muscle forces by 45.38 (± 4.80) % and 42.03 (± 8.24) % respectively. Also, both methods indicated approximately the same behaviour in changing muscle forces during 10 to 60 degrees of trunk flexion using WLAV. The use of WLAV can help to reduce the activity of low back muscles in lifting tasks by transferring the external load effect to the assistive spring system utilized in it, so this device may help people lift for longer.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s13246-020-00872-5</doi><tpages>8</tpages></addata></record> |
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subjects | Approximation Biological and Medical Physics Biomechanics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Construction Electromyography Hoisting Lift Low back disorders Medical and Radiation Physics Muscles Musculoskeletal system Optimization Scientific Paper Wearable technology |
title | Analysing the effect of wearable lift-assist vest in squat lifting task using back muscle EMG data and musculoskeletal model |
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