Refine
Year of publication
Document Type
- conference proceeding (presentation, abstract) (263) (remove)
Is part of the Bibliography
- no (263)
Keywords
- Künstliche Intelligenz (9)
- Bildgebendes Verfahren (5)
- Deep Learning (5)
- Artificial Intelligence (4)
- Datenschutz (4)
- Arztpraxis (3)
- Ausweis (3)
- Barrett-Ösophagus (3)
- Diagnose (3)
- Elektronische Gesundheitskarte (3)
Institute
- Fakultät Angewandte Sozial- und Gesundheitswissenschaften (88)
- Fakultät Informatik und Mathematik (88)
- Fakultät Maschinenbau (56)
- Labor Empirische Sozialforschung (49)
- Institut für Sozialforschung und Technikfolgenabschätzung (IST) (47)
- Regensburg Center of Health Sciences and Technology - RCHST (39)
- Regensburg Center of Biomedical Engineering - RCBE (32)
- Regensburg Medical Image Computing (ReMIC) (28)
- Fakultät Elektro- und Informationstechnik (22)
- Labor Biomechanik (LBM) (18)
Begutachtungsstatus
- peer-reviewed (41)
- begutachtet (7)
Evaluation of muscle recruitment and muscle models in musculoskeletal simulation of dynamic motion
(2021)
Musculoskeletal simulation plays an increasingly important role in sports biomechanics. In the last years, the field of application widened from orthopaedics and ergonomics to sports [1]. A muscle recruitment algorithm with a quadratic objective function is usually used to calculate muscle activity in dynamic movements. The agreement of calculated and measured thigh muscle activity has already been investigated [2]. They found a strong agreement for sprinting and running, while the correlation decreased for side-cutting manoeuvres. Nevertheless, the influence of different muscle recruitment criteria on muscle activity in dynamic musculoskeletal simulations is currently unknown. Hence, this study aimed to analyse the effect of different muscle recruitment criteria and muscle models on the correlation of numerical and measured muscle activity in highly dynamic movements.