WP Leader: Dr Lingzhong Guo
The objective of this WP is to develop new approaches to model non-linear systems that have uncertain and incomplete information through unobservable states and variables. The approaches will be based on the NARMAX methodology. Acting as a horizontal WP, this WP aims to integrate these approaches within the musculoskeletal models developed in WP1-5 and to provide support for all Work Packages relating to nonlinear signal processing, system identification, modelling, and analysis.
Output to date: We are working on four main themes: proxy measurements, model reduction, multiscale linking, and nonlinear system identification and signal processing. This involves the derivation of new algorithms to address each of these problems from a generic systems engineering perspective with applications to solve specific problems that have arisen from the other MultiSim Work Packages. In each case we have derived new solutions to these problems and have completed feasibility studies on specific applications from the other MultiSim Work Packages with excellent results. WP6 interacts with all of the other Work Packages.
Work Package 9. Hypermodelling integration and framework development
“Multiscale modelling poses whole new challenges for computational science and engineering. We are partnering with some of the hardware and software providers in the computational biomedicine domain, to provide MultiSim with the best possible computational infrastructure”.
This work package will develop a software environment that enable the integration of the models developed through the individual research scale WP1-6. The framework will provide the infrastructure used by the modellers and to create and execute multiscale model. A web application will be developed for the clinicians. The clinicians will use it to run multiscale models with patient data. Work package 9 will also develop, if needed, pre/post processing tools for the modellers based on the Multimodal Application Framework (MAF).
We extended a MAF application, NMS Builder, by adding an import function that will allowed it to open MRI (DICOM format) and gait analysis (C3D format) and creating an OpenSim model
We also put in production the SGI UV-2000 Cluster (named Beagle), and we are currently optimising some of the most used codes, to best leverage on the shared memory architecture. We are also comparing the performances with distributed memory clusters, so as to choose when to use one or the other.
Work package 9 is providing the software infrastructure that will allow the modellers of the WP1-6 do create and execute their model. This can be done only in close collaboration with the modellers to help them wrapping their model and connecting them to the models of the other developers. WP9 developers can also be responsible to create the data model transformation. WP9 is also in charge of the end-user interface that will be available for the clinician to get access to the patient data and use the multiscale models.