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000878546 0247_ $$2doi$$a10.1109/EMS.2017.16
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000878546 037__ $$aFZJ-2020-02905
000878546 1001_ $$0P:(DE-HGF)0$$aChen, Tao$$b0$$eCorresponding author
000878546 1112_ $$a2017 UKSim-AMSS 11th European Modelling Symposium (EMS)$$cManchester$$d2017-11-20 - 2017-11-21$$wUnited Kingdom
000878546 245__ $$aModel-Driven Development Methodology Applied to Real-Time MEG Signal Preprocessing System Design
000878546 260__ $$bIEEE$$c2017
000878546 29510 $$a2017 European Modelling Symposium (EMS) : [Proceedings] - IEEE, 2017. - ISBN 978-1-5386-1410-5 - doi:10.1109/EMS.2017.16
000878546 300__ $$a28-33
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000878546 520__ $$aModel-based system engineering (MBSE) provides a high-level environment and efficiently handles the ever-rising complexity of computation and control systems. We introduce a requirement-driven, model-based development methodology (RDD & MBD) for real-time computation systems based on vendor neutral specifications. The proposed development methodology focuses on the use of Systems Modeling Language (SysML) to define high-level model-based design descriptions for later implementation in heterogeneous hardware/software systems. In magnetoencephalography (MEG) data processing, biological artifacts in particular overtop the signal of interest by orders of magnitude and must be removed from the measured signals to avoid reconstruction errors. However, many real-time brain computer interface (BCI) approaches neglect real-time artifact removal as it is computationally demanding. Therefore, we applied the RDD & MBD approach to the design of a system-on-chip (SoC), capable of performing real-time artifact rejection, based on the recently presented method 'Ocular and Cardiac Artifact rejection for Real-Time Analysis in MEG' (OCARTA).
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000878546 7001_ $$0P:(DE-Juel1)133946$$aSuslov, Sergey$$b1$$ufzj
000878546 7001_ $$0P:(DE-Juel1)133935$$aSchiek, Michael$$b2$$ufzj
000878546 7001_ $$0P:(DE-Juel1)131794$$aShah, N. Jon$$b3$$ufzj
000878546 7001_ $$0P:(DE-Juel1)142562$$aWaasen, Stefan van$$b4$$ufzj
000878546 7001_ $$0P:(DE-Juel1)131757$$aDammers, Jurgen$$b5$$ufzj
000878546 773__ $$a10.1109/EMS.2017.16
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000878546 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
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