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Demonstrating A Linked Data Visualiser for Finite Element Biosimulations

Authors: 

Muntazir Mehdi, Yasar Khan, Andre Freitas, Joao Bosco Jares, Saleem Raza, Panagiotis Hasapis, Ratnesh Sahay

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been applied in different biological systems ranging from human ear, cardiovascular, to neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework to simulate these dynamic biological systems. Visualizing and analyzing huge amounts of Finite Element (FE) Biosimulation numerical data is a strenuous task. In this paper, we demonstrate a Linked Data Visualiser - called SIFEM Visualiser - to help domain-experts to Visualise, analyze and compare biosimulation results from heterogeneous, complex, and high volume numerical data. The SIFEM Visualiser aims to help healthcare experts in exploring and analyzing Finite Element (FE) numerical data and simulation results obtained from different aspects of inner-ear (Cochlear) model - such as biological, geometrical, mathematical, and physical models.
Conference Name: 
Tenth IEEE International Conference on Semantic Computing, California, USA
Digital Object Identifer (DOI): 
0
Publication Date: 
05/01/2016
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No
Publication document: