
Lucas EngelhardtUlm University | UULM · OSORA Medical Fracture Analytics
Lucas Engelhardt
Computational Biomechanics
Accelerating OSORA Medical Fracture Analytics
About
22
Publications
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Introduction
Lucas Engelhardt finished his PhD at Ulm University in the field of inverse-dynamics handmodelling and fracture healing simulation of metaphyseal fractures.
With OSORA he aims to transfer fracture healing simulation to a broad community.
Publications
Publications (22)
Currently, fracture-healing simulations are primarily applied to diaphyseal fractures. In order to simulate metaphyseal fracture healing, we extended the previously developed and tested computational model for diaphyseal fractures [1] to metaphyseal fractures [2]. Up to now, the investigations were analyzed in 2D rotational symmetric geometries. Re...
Regarding the prevention of injuries and rehabilitation of the human hand, musculoskeletal simulations using an inverse dynamics approach allow for insights of the muscle recruitment and thus acting forces on the hand. Currently, several hand models from various research groups are in use, which are mainly validated by the comparison of numerical a...
As shown in [1] and recent presentations [2,3], we
developed a new detailed hand model for the AnyBody
Modelling System [4]. This model not only includes the
possibility of a patient specification but also has been
validated by moment arm studies [1,2] and EMG [3].
The aim of this work was to apply the new detailed hand
model to a specific hand gri...
Simulating diaphyseal fracture healing via numerical models has been investigated for a long time. It is apparent from in vivo studies that metaphyseal fracture healing should follow similar biomechanical rules although the speed and healing pattern might differ. To investigate this hypothesis, a pre-existing, well-established diaphyseal fracture h...
The AnyBody Modeling System™ (AMS) is a musculoskeletal software simulation solution using inverse dynamics analysis. It enables the determination of muscle and joint forces for a given bodily motion. The recording of the individual movement and the transfer into the AMS is a complex and protracted process. Researches indicated that the contactless...
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 ful...
The present work deals with a specific step of a fracture healing simulation (see e.g. [1], [2]). In this step, the given concentration distribution of a biological tissue, such as bone, is smoothed (i.e. smeared over the three-dimensional healing domain). The current implementa-tion of this smoothing operation in the form of a matrix-vector multip...
The AnyBody™ Modelling System (AMS) is an universally used musculoskeletal simulation software using inverse dynamics. Until now, no complete human hand model is realized in the AMS. Considering other musculoskeletal hand models [1], no validation based on dynamic movements has been investigated yet. The aim of this work is to implement a full deta...
Currently, fracture-healing simulations are primarily applied to diaphyseal fractures. In order to simulate metaphyseal fracture healing, we extend the previously developed and tested computational model by Simon et al. [1]. As this model is a continuum (i.e. organ-level) model of fracture healing, the complex trabecular structure is not required b...
The AnyBody™ Modeling System (AMS) [1], is an universally used musculoskeletal simulation software using inverse dynamics. Until now, no complete human hand model is known in the AMS. Also considering other musculoskeletal software platforms, just one detailed entire hand model is recently published [2] but is only based on one subject. The aim of...
Die menschliche Hand ist ein hochkomplexes Greiforgan, welches aus 27 Knochen und 39 aktiven Muskeln besteht [1]. Dies führt dazu, dass
beim Greifen die Bestimmung von spezifischen Muskelkräften nicht trivial ist. Hierbei kann das vorgestellte invers-dynamische Model, dass mit
Hilfe des Anybody™-Modelling-Systems [2] entwickelt wurde, helfen.
The human hand is a highly developed and sophisticated grasping organ containing 27 bones with 36 articulations and 39 active muscles [1] contributing to a wide range of movements, (19 degrees of freedom) while possessing sensitive haptic properties. This makes the human hand an extremely complex system, where the determination of specific muscle f...
Purpose:
Aerosol particle deposition in the human nasal cavity is of high interest in particular for intranasal central nervous system (CNS) drug delivery via the olfactory cleft. The objective of this study was the development and comparison of a numerical and experimental model to investigate various parameters for olfactory particle deposition...
In a running research project in cooperation with the University of Applied Science Biberach, an intranasal aerosol application for drugs, treating neurodegenerative diseases, should be optimized by the help of computational fluid and particle dynamics (CFPD) simulation. For the treatment it is essential that a high ratio of particles reach the olf...
In a running research project in cooperation with the University of Applied Science Biberach, an intranasal aerosol application for drugs, treating neurodegenerative diseases, should be optimized by the help of computational fluid dynamics (CFD). For the treatment it is essential that a high ratio of particles reach the olfactory epithelium, which...
In this project, the heat and flow transfer characteristics of a pin-fin heat exchanger were analyzed using a three dimensional finite element based numerical model. Simulations were conducted based on low Reynolds number and fully developed laminar airflow through an array of circular pin-fins. A computational fluid dynamic (CFD)-solution is estab...
Projects
Projects (3)
Designing and optimizing a novel strain-amplifying, osteogenesis-stimulating spinal fusion device using numerical bone healing simulations