This site presents the products of BESA GmbH, the leading innovators in digital EEG and MEG software for research and clinical applications.
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New in-classroom workshops scheduled - more information here
Collaborations
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| In a joint research project with the groups of Prof. Christian Uhl and Prof. Geisselsöder at the Hochschule Ansbach, BESA is developing an improved AI-assisted method for automatic detection of epileptic seizures. The project DEEP-EEG is part-funded by the Bayerische Forschungsstiftung. | www.hs-ansbach.de |
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| In a joint research project with the epileptology department of the University Hospital of Bochum, Germany (Prof. Jörg Wellmer), and associated industry partners snap DISCOVERY and MedEcon Ruhr GmbH, BESA GmbH will investigate the AI-assisted detection of deep brain dysfunction in surface and intracranial EEG. The project KITE is part-funded by the German Ministry for Education and Research. | www.kk-bochum.de |
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| Together with mBT we believe that a great breakthrough is just around the corner as the EEG was never so easy. When you bound BESA and mBT you can perform EEG everywhere at any time with superb quality and you can analyze it and interpret it as you used to. With the 64-channel EEG system that is compatible with BESA you can perform perfect EEG source analysis, connectivity, and more with the level of confidence that was available only in the lab until now. Together with mBT we are working closely to move this even further and having fun at the same time. Check: #EEGinEveryday | mbraintrain.com |
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| Together with the people at BrainBox, BESA is working on an optimal integration of NIRS, TMS, and DCS with EEG data. We are addressing the challenges of smooth integration between the modalities as well as artifact treatment and analysis strategies. | www.brainbox-neuro.com |
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| BESA and the teams around Prof. Maureen Clerc and Dr. Juliette Leblond at INRIA (Nice) started a PhD project together on determining individual conductivity values from EEG measurements and other complementary modalities (MEG, EIT, …). Importance of detailed volume conductor modeling and mathematical aspects, such as uniqueness and optimality of the conductivity estimation, will be investigated. Furthermore, a reliable procedure for the estimation will be developed. | www.inria.fr |
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| In a joint PhD project with Prof. Joachim Gross, BESA is comparing different functional and effective brain connectivity methods. Advantages and disadvantages of each method will be determined by analyzing simulated and realistic sets of EEG/MEG data. The most reliable method will be chosen on the basis of various relevant performance indicators and will become part of the software package BESA Research. | www.gla.ac.uk |
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| In a joint PhD project with PD Dr. Carsten Wolters, BESA helped developing the most state-of-the-art FEM workflow for EEG and MEG source analysis – BESA Poster OHBM 2014 – Benjamin Lanfer. The output of the PhD found a direct application in the popular program BESA MRI. | www.uni-muenster.de |
| Past Collaborations | Contact |
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| BESA was full partner in the ChildBrain project – an EU-funded European training network (ETN) on developmental brain research. Together with the universities of Jyväskylä (Finland), Leuven (Belgium), Münster (Germany), Radboud (The Netherlands), Aston (UK) as well as the companies IcoMetrix, and Elekta, BESA worked on a three-year project on advancing brain research in children’s developmental neurocognitive disorders. BESA’s task was to develop an automatic, reliable and easy-to use pipeline for individual head model generation in children. | www.childbrain.eu |
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| The department Mathematical Analysis and Numerical Methods – (MANM) mathematics institute of the Technical University Sofia is helping BESA to determine the best Laplace-Beltrami operator for genuine cortical LORETA source analysis, i.e. LORETA that is calculated on the cortex rather than projected onto the cortex. A master student investigates the different Laplace operators mathematically and applies them in simulated and real EEG data. | www.manm.tu-sofia.bg |
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