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dc.contributor.advisorRöhrle, Oliver (Prof., PhD)-
dc.contributor.authorSaini, Harnoor Deep Singh-
dc.date.accessioned2021-07-30T07:20:06Z-
dc.date.available2021-07-30T07:20:06Z-
dc.date.issued2021de
dc.identifier.isbn978-3-946412-07-6-
dc.identifier.other1764957490-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-116192de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/11619-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-11602-
dc.description.abstractBiomechanical computer models provide novel insights into musculoskeletal function by overcoming technical and ethical barriers faced by experimental techniques. Current macroscopic, continuum-mechanical skeletal muscle models, however, neglect certain aspects of motor-unit physiology and thus oversimplify muscle function. This Ph.D. thesis deals with methods to enrich such models with microstructurally derived motor-unit information. By doing so, contraction dynamics and joint-kinematics can be predicted, for the first time, as a combination of individual motor-unit -activity, -properties, and (three-dimensional) -anatomy. Such a model uncovers unique relationships between neuromuscular physiology and muscle function, for example, the role of motor-unit remodelling (typically occurring during ageing and neuromuscular disorders) on joint-function. This integrated neuro-musculoskeletal modelling approach can be applied to better understand phenomena such as fatigue and be used to inform medical interventions by predicting surgery outcomes or aiding movement rehabilitation protocols related to trauma, neuromuscular disorders, or ageing.en
dc.language.isoende
dc.publisherStuttgart : Institute for Modelling and Simulation of Biomechanical Systems, Chair of Continuum Biomechanics and Mechanobiology, University of Stuttgartde
dc.relation.ispartofseriesCBM;8-
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc620de
dc.titleModelling the functional heterogeneity of skeletal muscles : enriching continuum-mechanical models on a motor-unit levelen
dc.typedoctoralThesisde
ubs.dateAccepted2021-04-22-
ubs.fakultaetBau- und Umweltingenieurwissenschaftende
ubs.institutInstitut für Modellierung und Simulation Biomechanischer Systemede
ubs.publikation.seitenxxvi, 222de
ubs.publikation.typDissertationde
ubs.schriftenreihe.nameCBMde
ubs.thesis.grantorBau- und Umweltingenieurwissenschaftende
Enthalten in den Sammlungen:02 Fakultät Bau- und Umweltingenieurwissenschaften

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