TY  - BOOK
AU  - Schröder, Max
AU  - Raben, Hendrikje
AU  - Krüger, Frank
AU  - Ruscheinski, Andreas
AU  - Rienen, Ursula van
AU  - Uhrmacher, Adelinde
AU  - Spors, Sascha Michael
PY  - 2019
DA  - 2019//
TI  - PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems
T3  - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019
ET  - [Author manuscript version]
PB  - IEEE, 2019
CY  - Rostock
AB  - The reproducibility of scientific results gains increasing attention. In the context of biomedical engineering, this applies to experimental studies of three different kinds: in-vivo, in-vitro, and in-silico. Numerical modelling and finite element simulation of bio-electric systems are intricate processes involving manifold steps. A typical example of this process is the electrical stimulation at alloplastic reconstruction plates of the mandible. During the bio-electric modelling and simulation process, diverse methods realised in various software tools are exploited. To comprehensibly render how the final model has been developed requires a thorough documentation. We exploit the W3C provenance model PROV to structure this process and to make it accessible for modellers and for automatic analyses. Different entity types, such as data, model, software, literature, assumptions, and mathematical equations are distinguished; roles of entities within an activity are revealed as well as the involved researchers. In addition, we identify five process patterns: 1) information extraction from the literature; 2) generation of a geometrical model which uses data as input; 3) composition of several geometrical or mathematical models into a combined model; 4) parameterisation, which augments the input model by additional properties; and, finally, 5) refinement, which uses a model in addition to an assumption and generates an enhanced model. By modelling provenance information of a typical bio-electric modelling and simulation process as well as identifying provenance patterns, we provide a first step towards a better documentation of academic investigations in that scientific field.<eng>
UR  - http://purl.uni-rostock.de/rosdok/id00004210
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004210-3
UR  - https://d-nb.info/1293547360/34
UR  - https://doi.org/10.18453/rosdok_id00004210
DO  - 10.18453/rosdok_id00004210
LA  - English
N1  - Max Schröder, Hendrikje Raben, Frank Krüger, Andreas Ruscheinski, Ursula van Rienen, Adelinde Uhrmacher, Sascha Spors
ID  - 1838727558
ER  -