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Requirement-driven model-based development methodology applied to the design of a real-time MEG data processing unit

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Abstract

The paper describes a multidisciplinary work that uses a model-based systems engineering method for developing real-time magnetoencephalography (MEG) signal processing. We introduce a requirement-driven, model-based development methodology (RDD and MBD) to provide a high-level environment and efficiently handle the complexity of computation and control systems. The proposed development methodology focuses on the use of System Modeling Language to define high-level model-based design descriptions for later implementation in heterogeneous hardware/software systems. The proposed approach was applied to the implementation of a real-time artifact rejection unit in MEG signal processing and demonstrated high efficiency in designing complex high-performance embedded systems. In MEG signal processing, biological artifacts in particular have a signal strength that overtop the signal of interest by orders of magnitude and must be removed from the measurement to achieve high-quality source reconstructions with minimal error contributions. However, many existing brain–computer interface studies overlook real-time artifact removal because of the demanding computational process. In this work, an automated real-time artifact rejection method is introduced, which is based on the recently presented method “ocular and cardiac artifact rejection for real-time analysis in MEG” (OCARTA). The method has been implemented using the RDD and MBD approach and successfully verified on a Virtex-6 field-programmable gate array.

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Acknowledgements

The presented research is supported by China Scholarship Council (CSC), in cooperation with the Central Institute of Engineering, Electronics and Analytics - Electronic Systems (ZEA-2) and the Institute of Neuroscience and Medicine (INM-4) at Forschungszentrum Jülich GmbH.

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Authors and Affiliations

  1. Central Institute of Electronic Systems (ZEA-2), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany

    Tao Chen, Michael Schiek & Stefan van Waasen

  2. Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany

    Tao Chen, Jürgen Dammers & N. Jon Shah

  3. Department of Neurology, Faculty of Medicine, RWTH Aachen University, 52074, Aachen, Germany

    N. Jon Shah

  4. JARA–BRAIN–Translational Medicine, RWTH Aachen University, 52074, Aachen, Germany

    N. Jon Shah

  5. Communication Systems, Faculty of Engineering, University of Duisburg-Essen, 47057, Duisburg, Germany

    Stefan van Waasen

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  1. Tao Chen
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  2. Michael Schiek
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  3. Jürgen Dammers
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Correspondence to Tao Chen.

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Communicated by Juergen Dingel.

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Chen, T., Schiek, M., Dammers, J. et al. Requirement-driven model-based development methodology applied to the design of a real-time MEG data processing unit. Softw Syst Model 19, 1567–1587 (2020). https://doi.org/10.1007/s10270-020-00797-3

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