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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2c7e68ae5f3894d810752300311254ade/inspo5",         
         "tags" : [
            "lengthening","Active","Force-length","Force-velocity","relation","Benchmark","LS-DYNA","Muscle","model","Impedance"
         ],
         
         "intraHash" : "c7e68ae5f3894d810752300311254ade",
         "interHash" : "f87d2c872f2e6f474113b724ada23083",
         "label" : "A benchmark of muscle models to length changes great and small",
         "user" : "inspo5",
         "description" : " linked to Projekt Adires",
         "date" : "2024-09-24 16:36:35",
         "changeDate" : "2025-02-11 20:19:56",
         "count" : 16,
         "pub-type": "article",
         "journal": "ScienceDirect Elsevier",
         "year": "2024", 
         "url": "https://www.sciencedirect.com/science/article/pii/S1751616124003722?via%3Dihub", 
         
         "author": [ 
            "Matthew Millard","Norman Stutzig","Jörg Fehr","Tobias Siebert"
         ],
         "authors": [
         	
            	{"first" : "Matthew",	"last" : "Millard"},
            	{"first" : "Norman",	"last" : "Stutzig"},
            	{"first" : "Jörg",	"last" : "Fehr"},
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "abstract": "Digital human body models are used to simulate injuries that occur as a result of vehicle collisions, vibration, sports, and falls. Given enough time the body\u2019s musculature can generate force, affect the body\u2019s movements, and change the risk of some injuries. The finite-element code LS-DYNA is often used to simulate the movements and injuries sustained by the digital human body models as a result of an accident. In this work, we evaluate the accuracy of the three muscle models in LS-DYNA (MAT_156, EHTM, and the VEXAT) when simulating a range of experiments performed on isolated muscle: force-length-velocity experiments on maximally and sub-maximally stimulated muscle, active-lengthening experiments, and vibration experiments. The force-length-velocity experiments are included because these conditions are typical of the muscle activity that precedes an accident, while the active-lengthening and vibration experiments mimic conditions that can cause injury. The three models perform similarly during the maximally and sub-maximally activated force-length-velocity experiments, but noticeably differ in response to the active-lengthening and vibration experiments. The VEXAT model is able to generate the enhanced forces of biological muscle during active lengthening, while both the MAT_156 and EHTM produce too little force. In response to vibration, the stiffness and damping of the VEXAT model closely follows the experimental data while the MAT_156 and EHTM models differ substantially. The accuracy of the VEXAT model comes from two additional mechanical structures that are missing in the MAT_156 and EHTM models: viscoelastic cross-bridges, and an active titin filament. To help others build on our work we have made our simulation code publicly available.",
         "language" : "English",
         
         "doi" : "10.1016/j.jmbbm.2024.106740",
         
         "bibtexKey": "millard2024benchmark"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2109b403efc1ed2df33dbe51dee5053a8/inspo5",         
         "tags" : [
            "Pennation","angle","Rabbit","length","Muscle","model","Fascicle","architecture","soleus"
         ],
         
         "intraHash" : "109b403efc1ed2df33dbe51dee5053a8",
         "interHash" : "fdf6fd718e0d6b5993e811c89f5ac2e6",
         "label" : "A simple geometrical model accounting for 3D muscle architectural changes across muscle lengths",
         "user" : "inspo5",
         "description" : "",
         "date" : "2022-07-19 11:10:29",
         "changeDate" : "2022-07-19 09:10:56",
         "count" : 2,
         "pub-type": "article",
         "journal": "Journal of Biomechanics","publisher":"Elsevier BV",
         "year": "2020", 
         "url": "https://doi.org/10.1016%2Fj.jbiomech.2020.109694", 
         
         "author": [ 
            "Philipp Schenk","Stefan Papenkort","Markus Böl","Tobias Siebert","Roland Grassme","Christian Rode"
         ],
         "authors": [
         	
            	{"first" : "Philipp",	"last" : "Schenk"},
            	{"first" : "Stefan",	"last" : "Papenkort"},
            	{"first" : "Markus",	"last" : "Böl"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Roland",	"last" : "Grassme"},
            	{"first" : "Christian",	"last" : "Rode"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "volume": "103","pages": "109694",
         "doi" : "10.1016/j.jbiomech.2020.109694",
         
         "bibtexKey": "Schenk_2020"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2ed947ea3f941527dbb669066bc155938/inspo5",         
         "tags" : [
            "morphology","Aponeurosis","Pennation","angle","length","Muscle","model","Fascicle","architecture"
         ],
         
         "intraHash" : "ed947ea3f941527dbb669066bc155938",
         "interHash" : "458e289e4840dfd9ef33052068cda6f6",
         "label" : "Architectural model for muscle growth during maturation.",
         "user" : "inspo5",
         "description" : "",
         "date" : "2022-07-19 11:10:29",
         "changeDate" : "2022-07-19 09:10:56",
         "count" : 1,
         "pub-type": "article",
         "journal": "Biomechanics and Modeling in Mechanobiology",
         "year": "2021", 
         "url": "https://link.springer.com/article/10.1007/s10237-021-01492-y", 
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "number": "20","pages": "2031\u20132044","abstract": "Muscle architecture, which includes parameters like fascicle length, pennation angle, and physiological cross-sectional area, strongly influences skeletal muscles' mechanical properties. During maturation, the muscle architecture has to adapt to a growing organism. This study aimed to develop an architectural model capable of predicting the complete 3D fascicle architecture for primarily unipennate muscles of an arbitrary age, based on fascicle data for an initial age. For model development, we collected novel data on 3D muscle architecture of the rabbit (Oryctolagus cuniculus) M. plantaris of eight animals ranging in age from 29 to 106 days. Experimental results show that plantaris muscle belly length increases by 73%, whereas mean fascicle length and mean pennation angle increases by 39 and 14%, respectively. Those changes were incorporated into the model. In addition to the data collected for M. plantaris the predictions of the model were compared to existing literature data of rabbit M. soleus and M. gastrocnemius medialis. With an error of −1.0\u2009±\u20098.6% for relative differences in aponeurosis length, aponeurosis width, muscle height, and muscle mass, the model delivered good results matching interindividual differences. For future studies, the model could be utilized to generate realistic architectural data sets for simulation studies.",
         "language" : "English",
         
         "doi" : "https://doi.org/10.1007/s10237-021-01492-y",
         
         "bibtexKey": "leichsenring2021architectural"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23d83071c7cda47dc4505597be2791325/inspo5",         
         "tags" : [
            "morphology","Papenkort","length","Fascicle","Inspo","Pennation","Aponeurosis","angle","Muscle","model","Siebert","architecture"
         ],
         
         "intraHash" : "3d83071c7cda47dc4505597be2791325",
         "interHash" : "ec21172a48abe9631c89ebcb05ad0767",
         "label" : "Architectural model for muscle growth during maturation",
         "user" : "inspo5",
         "description" : "",
         "date" : "2022-07-19 11:10:29",
         "changeDate" : "2022-07-19 09:10:56",
         "count" : 1,
         "pub-type": "article",
         "journal": "Biomechanics and Modeling in Mechanobiology",
         "year": "2021", 
         "url": "https://doi.org/10.1007/s10237-021-01492-y", 
         
         "author": [ 
            "Stefan Papenkort","Markus Boel","Tobias Siebert"
         ],
         "authors": [
         	
            	{"first" : "Stefan",	"last" : "Papenkort"},
            	{"first" : "Markus",	"last" : "Boel"},
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "volume": "20","number": "5","pages": "2031--2044","abstract": "Muscle architecture, which includes parameters like fascicle length, pennation angle, and physiological cross-sectional area, strongly influences skeletal muscles' mechanical properties. During maturation, the muscle architecture has to adapt to a growing organism. This study aimed to develop an architectural model capable of predicting the complete 3D fascicle architecture for primarily unipennate muscles of an arbitrary age, based on fascicle data for an initial age. For model development, we collected novel data on 3D muscle architecture of the rabbit (Oryctolagus cuniculus) M. plantaris of eight animals ranging in age from 29 to 106 days. Experimental results show that plantaris muscle belly length increases by 73\\%, whereas mean fascicle length and mean pennation angle increases by 39 and 14\\%, respectively. Those changes were incorporated into the model. In addition to the data collected for M. plantaris the predictions of the model were compared to existing literature data of rabbit M. soleus and M. gastrocnemius medialis. With an error of −1.0þinspace±þinspace8.6\\% for relative differences in aponeurosis length, aponeurosis width, muscle height, and muscle mass, the model delivered good results matching interindividual differences. For future studies, the model could be utilized to generate realistic architectural data sets for simulation studies.",
         "issn" : "1617-7940",
         
         "doi" : "10.1007/s10237-021-01492-y",
         
         "bibtexKey": "Papenkort2021"

      }
	  
   ]
}
