Zobrazeno 1 - 10
of 934
pro vyhledávání: '"HAUEISEN, JENS"'
Publikováno v:
COMPEL -The international journal for computation and mathematics in electrical and electronic engineering, 2024, Vol. 43, Issue 4, pp. 932-947.
The common spatial pattern (CSP) approach is known as one of the most popular spatial filtering techniques for EEG classification in motor imagery (MI) based brain-computer interfaces (BCIs). However, it still suffers some drawbacks such as sensitivi
Externí odkaz:
http://arxiv.org/abs/2303.06019
Autor:
Esch, Lorenz, Dong, Jinlong, Hämäläinen, Matti, Baumgarten, Daniel, Haueisen, Jens, Vorwerk, Johannes
The analysis of EEG/MEG functional connectivity has become an important tool in neural research. Especially the high time resolution of EEG/MEG enables important insight into the functioning of the human brain. To date, functional connectivity is com
Externí odkaz:
http://arxiv.org/abs/2303.03279
The quality of the inverse approach in electroencephalography (EEG) source analysis is - among other things - depending on the accuracy of the forward modeling approach, i.e., the simulation of the electric potential for a known dipole source in the
Externí odkaz:
http://arxiv.org/abs/2208.03081
The efficient estimation of an approximate model order is very important for real applications with multi-dimensional data if the observed low-rank data is corrupted by additive noise. In this paper, we present a novel robust method for model order e
Externí odkaz:
http://arxiv.org/abs/2110.02705
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 371-374 (2023)
There is a variety of software packages, toolboxes, or libraries for the analysis and processing of neurophysiological data such as EEG and MEG. Many of these solutions provide algorithms for both, sensor-space analysis and sourcespace analysis. Espe
Externí odkaz:
https://doaj.org/article/de14e0173aa746feab2e0af2ba3265c9
Publikováno v:
In Clinical Neurophysiology March 2024 159:66-74
Publikováno v:
Phys. Med. Biol. Volume 63 (2018) Number 7 075003; Erratum: Phys. Med. Biol. Volume 63 (2018) Number 10 109601
For high precision in source reconstruction of magnetoencephalography (MEG) or electroencephalography data, high accuracy of the coregistration of sources and sensors is mandatory. Usually, the source space is derived from magnetic resonance imaging
Externí odkaz:
http://arxiv.org/abs/2008.02091
Autor:
Hömmen, Peter, Mäkinen, Antti J., Hunold, Alexander, Machts, René, Haueisen, Jens, Zevenhoven, Koos C. J., Ilmoniemi, Risto J., Körber, Rainer
Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabling current density imaging (CDI) and possibly conductivity mapping of
Externí odkaz:
http://arxiv.org/abs/2001.07178
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 249-252 (2022)
Due to the direct contact between electrode and scalp, dry EEG electrodes are exposed to increased mechanical wear compared to conventional gel-based electrodes. However, state-of-the-art commercial cap systems commonly use permanently fixated electr
Externí odkaz:
https://doaj.org/article/0082288687634bd4bf1cba0a69df3b50