Title: Development of a personalized musculoskeletal human shoulder
Authors: Špička, J.
Vychytil, J.
Ryba, T.
Havelková, L.
Citation: Computational mechanics 2018: book of extended abstracts: 34th conference with international participation, p. 111-112.
Issue Date: 2018
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/30833
ISBN: 978-80-261-0819-1
Keywords: muskuloskeletální model;rameno;magnetická rezonance;AnyBody modelovací systém
Keywords in different language: musculoskeletal model;shoulder;magnetic resonance;AnyBody Modeling System
Abstract in different language: The aim of this study is to contribute to the development of personalized musculoskeletal human shoulder model for the prevention, therapy and rehabilitation strategies. Namely, we participate in the development of the virtual shoulder model in the AnyBody Modeling System (AMS). This model consists of bones that are interconnected via kinematic joints, muscles with corresponding tendons and ligaments. The bones are considered as rigid bodies. Each muscle with corresponding tendon is represented with several virtual elements in the model that are usually referred to as lines of action. These lines are considered as hill-type models and allows for the active motion of the model as a whole. An important task in the model development is setting realistic muscle paths in order to predict accurate acting forces and moments. To achieve that, artificial obstacles are used in the AMS model to avoid unreal muscle shapes and excessive sliding. Namely, the torus obstacle method is used. It means that for each muscle line, tori obstacles are defined. The path is then given as a shortest connection of muscle attachments, closely wrapping the torus surface. Hence, the key issue of the model development is to define proper position and radii of each torus obstacle. These parameters differ in general for different individuals. The aim of this study is to develop methodology for setting the parameters of tori obstacles based on magnetic resonance imaging (MRI) of a particular shoulder. That is, patient-specific approach is adopted.
Rights: Copyright © 2018 University of West Bohemia, Plzeň, Czech Republic
Appears in Collections:Computational mechanics 2018
Computational mechanics 2018

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