Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study
Muscle force knowledge during reaching is an important research field and tools development for measuring those forces is a challenging task, especially for clinical routines. The purpose of this study was, during a simple reach-to-grasp movement, to compare forces estimation from a Hill-type model...
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| Veröffentlicht in: | Medical & biological engineering & computing 2009-11, Vol.47 (11), p.1173-1179 |
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| description | Muscle force knowledge during reaching is an important research field and tools development for measuring those forces is a challenging task, especially for clinical routines. The purpose of this study was, during a simple reach-to-grasp movement, to compare forces estimation from a Hill-type model and from the EMG-to-Force Processing (EFP) method. Ten healthy male volunteers were tested. Surface EMG signals were recorded from deltoid scapular, deltoid clavicular, triceps brachii, and biceps brachii. Ten repeated measures of right upper limb kinematics had been recorded. Three reaching distances were tested: 20, 30, and 40 cm. Muscle activations were calculated and forces were estimated by the two methods. Correlations and low RMS error found between the two methods indicate that EFP is a good way to estimate muscle forces for this kind of movement. This knowledge is essential in order to integrate these forces in reaching models developed nowadays in robotic, rehabilitation, and ergonomics field of research. |
| doi_str_mv | 10.1007/s11517-009-0530-4 |
| format | Article |
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The purpose of this study was, during a simple reach-to-grasp movement, to compare forces estimation from a Hill-type model and from the EMG-to-Force Processing (EFP) method. Ten healthy male volunteers were tested. Surface EMG signals were recorded from deltoid scapular, deltoid clavicular, triceps brachii, and biceps brachii. Ten repeated measures of right upper limb kinematics had been recorded. Three reaching distances were tested: 20, 30, and 40 cm. Muscle activations were calculated and forces were estimated by the two methods. Correlations and low RMS error found between the two methods indicate that EFP is a good way to estimate muscle forces for this kind of movement. This knowledge is essential in order to integrate these forces in reaching models developed nowadays in robotic, rehabilitation, and ergonomics field of research.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-009-0530-4</identifier><identifier>PMID: 19784682</identifier><language>eng</language><publisher>Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>Adult ; Arms ; Bioengineering ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Computer Applications ; Elbow ; Electrodes ; Electromyography ; Electromyography - instrumentation ; Electromyography - methods ; Female ; Force ; Hand Strength - physiology ; Human Physiology ; Humans ; Imaging ; Kinematics ; Kinesiology ; Male ; Methods ; Movement - physiology ; Muscle, Skeletal - physiology ; Musculoskeletal system ; Original Article ; Radiology ; Reductionism ; Signal Processing, Computer-Assisted ; Studies ; Upper Extremity - physiology ; Young Adult</subject><ispartof>Medical & biological engineering & computing, 2009-11, Vol.47 (11), p.1173-1179</ispartof><rights>International Federation for Medical and Biological Engineering 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-6e53b35f102450cc63c45034e1013aba64b2648205b9a3fe7979e1e9e371f33a3</citedby><cites>FETCH-LOGICAL-c456t-6e53b35f102450cc63c45034e1013aba64b2648205b9a3fe7979e1e9e371f33a3</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/s11517-009-0530-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-009-0530-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19784682$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Louis, N</creatorcontrib><creatorcontrib>Gorce, P</creatorcontrib><title>Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>Muscle force knowledge during reaching is an important research field and tools development for measuring those forces is a challenging task, especially for clinical routines. The purpose of this study was, during a simple reach-to-grasp movement, to compare forces estimation from a Hill-type model and from the EMG-to-Force Processing (EFP) method. Ten healthy male volunteers were tested. Surface EMG signals were recorded from deltoid scapular, deltoid clavicular, triceps brachii, and biceps brachii. Ten repeated measures of right upper limb kinematics had been recorded. Three reaching distances were tested: 20, 30, and 40 cm. Muscle activations were calculated and forces were estimated by the two methods. Correlations and low RMS error found between the two methods indicate that EFP is a good way to estimate muscle forces for this kind of movement. This knowledge is essential in order to integrate these forces in reaching models developed nowadays in robotic, rehabilitation, and ergonomics field of research.</description><subject>Adult</subject><subject>Arms</subject><subject>Bioengineering</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Computer Applications</subject><subject>Elbow</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Electromyography - instrumentation</subject><subject>Electromyography - methods</subject><subject>Female</subject><subject>Force</subject><subject>Hand Strength - physiology</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Kinematics</subject><subject>Kinesiology</subject><subject>Male</subject><subject>Methods</subject><subject>Movement - physiology</subject><subject>Muscle, Skeletal - 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The purpose of this study was, during a simple reach-to-grasp movement, to compare forces estimation from a Hill-type model and from the EMG-to-Force Processing (EFP) method. Ten healthy male volunteers were tested. Surface EMG signals were recorded from deltoid scapular, deltoid clavicular, triceps brachii, and biceps brachii. Ten repeated measures of right upper limb kinematics had been recorded. Three reaching distances were tested: 20, 30, and 40 cm. Muscle activations were calculated and forces were estimated by the two methods. Correlations and low RMS error found between the two methods indicate that EFP is a good way to estimate muscle forces for this kind of movement. This knowledge is essential in order to integrate these forces in reaching models developed nowadays in robotic, rehabilitation, and ergonomics field of research.</abstract><cop>Berlin/Heidelberg</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><pmid>19784682</pmid><doi>10.1007/s11517-009-0530-4</doi><tpages>7</tpages></addata></record> |
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| subjects | Adult Arms Bioengineering Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications Elbow Electrodes Electromyography Electromyography - instrumentation Electromyography - methods Female Force Hand Strength - physiology Human Physiology Humans Imaging Kinematics Kinesiology Male Methods Movement - physiology Muscle, Skeletal - physiology Musculoskeletal system Original Article Radiology Reductionism Signal Processing, Computer-Assisted Studies Upper Extremity - physiology Young Adult |
| title | Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study |
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