TY  - CONF
AU  - Chen, Tao
AU  - Suslov, Sergey
AU  - Schiek, Michael
AU  - Shah, N. Jon
AU  - Waasen, Stefan van
AU  - Dammers, Jurgen
TI  - Model-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design
PB  - IEEE
M1  - FZJ-2020-02905
SP  - 28-33
PY  - 2017
AB  - Model-based system engineering (MBSE) provides a high-level environment and efficiently handles the ever-rising complexity of computation and control systems. We introduce a requirement-driven, model-based development methodology (RDD & MBD) for real-time computation systems based on vendor neutral specifications. The proposed development methodology focuses on the use of Systems Modeling Language (SysML) to define high-level model-based design descriptions for later implementation in heterogeneous hardware/software systems. In magnetoencephalography (MEG) data processing, biological artifacts in particular overtop the signal of interest by orders of magnitude and must be removed from the measured signals to avoid reconstruction errors. However, many real-time brain computer interface (BCI) approaches neglect real-time artifact removal as it is computationally demanding. Therefore, we applied the RDD & MBD approach to the design of a system-on-chip (SoC), capable of performing real-time artifact rejection, based on the recently presented method 'Ocular and Cardiac Artifact rejection for Real-Time Analysis in MEG' (OCARTA).
T2  - 2017 UKSim-AMSS 11th European Modelling Symposium (EMS)
CY  - 20 Nov 2017 - 21 Nov 2017, Manchester (United Kingdom)
Y2  - 20 Nov 2017 - 21 Nov 2017
M2  - Manchester, United Kingdom
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000434813800005
DO  - DOI:10.1109/EMS.2017.16
UR  - https://juser.fz-juelich.de/record/878546
ER  -