Am Donnerstag, dem 01.03.2018 findet im Guericke-Zentrum (ehemals Lukasklause), im historischen Saal ab 15.30 Uhr das STIMULATE-Kolloquium statt.
Vortragender: Dr.-Ing. Christoph Dinh, Neoscan Solutions GmbH, Magdeburg (CV)
Vortragstitel: "MNE-CPP: Open-Source Medical Device Software for EEG/MEG Data Acquisition, Analysis & Visualization"
Abstract:
MNE-CPP provides a cross-platform open-source framework to build software applications for Electroencephalography (EEG)/Magnetoencephalography (MEG) targeting especially clinical use. It includes acquisition, real-time processing and data browsing software, which have the need of being straight forward to use and fast in processing scheduled tasks.
The key concepts of the MNE-CPP project are its modular structure and low number of external dependencies. Latter include Qt5 for GUI programming and the linear algebra library Eigen. MNE-CPP is organized as a two-layer framework. (I) The library layer hosts its functionalities in sub-libraries, e.g., MRI based forward and inverse modelling, data processing, visualization, Elekta Neuromag® FIFF file IO handling, etc. (II) The application layer includes applications and examples built by the MNE-CPP community based on the library layer. Two major applications included in MNE-CPP are: MNE Scan, a data acquisition and real-time processing software, and MNE Browse, an application for offline data analysis. The MNE-CPP development process is able to meet clinical software requirements. MNE Scan in combination with the BabyMEG at Boston Children’s Hospital, Harvard Medical School, for instance, is approved for clinical use (FDA 510k).
In the past years the MNE-CPP development team primarily focused on EEG and MEG as supported modalities, interfacing multiple devices: Elekta Neuromag® VectorView™, babyMEG and multiple EEG systems. We plan to extend MNE-CPP’s generic capability to handle arbitrary data streams from a wider range of electrophysiological devices. Our long-term goal is to continue the development of MNE-CPP in the direction of a multi-purpose acquisition, processing and visualization framework, merging different measurement modalities that in future will include invasive electrophysiological measurements. At the same time, we will keep a project structure and organization in order to meet clinical software approval requirements. This will further facilitate software build with MNE-CPP to be deployed in a broad field of operations, even clinical ones.
MNE-CPP is open source BSD licensed (clause 3) and can be compiled cross-platform, which apart from the common operation systems also includes smartphones, tablets and embedded systems.
Further information can be found at: www.mne-cpp.org
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