A new musculoskeletal AnyBody™ detailed hand model. Issue 7 (16th November 2020)

• Record Type: Journal Article
• Authors: Engelhardt, Lucas; Melzner, Maximilian; Havelkova, Linda; Fiala, Pavel; Christen, Patrik; Dendorfer, Sebastian; Simon, Ulrich
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 24:Issue 7(2021)
• Page Start: 777
• Page End: 787
• Publication Date: 2020-11-16
• Subjects: Musculoskeletal -- hand -- AnyBody -- inverse dynamics -- moment arm; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2020.1851367
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: Musculoskeletal research questions regarding the prevention or rehabilitation of the hand can be addressed using inverse dynamics simulations when experiments are not possible. To date, no complete human hand model implemented in a holistic human body model has been fully developed. The aim of this work was to develop, implement, and validate a fully detailed hand model using the AnyBody Modelling System (AMS) (AnyBody, Aalborg, Denmark). To achieve this, a consistent multiple cadaver dataset, including all extrinsic and intrinsic muscles, served as a basis. Various obstacle methods were implemented to obtain with the correct alignment of the muscle paths together with the full range of motion of the fingers. These included tori, cylinders, and spherical ellipsoids. The origin points of the lumbrical muscles within the tendon of the flexor digitorum profundus added a unique feature to the model. Furthermore, the possibility of an entire patient-specific scaling based on the hand length and width were implemented in the model. For model validation, experimental datasets from the literature were used, which included the comparison of numerically calculated moment arms of the wrist, thumb, and index finger muscles. In general, the results displayed good comparability of the model and experimental data. However, the extrinsic muscles showed higher accordance than the intrinsic ones. Nevertheless, the results showed, that the proposed developed inverse dynamics hand model offers opportunities in a broad field of applications, where the muscles and joint forces of the forearm play a crucial role.