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KEŠNER, F. SEKANINA, L. BRÁZDIL, M.
Originální název
Modular Framework for Detection of Inter-ictal Spikes in iEEG
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper, we present a new modular approach for detection of inter-ictal spikes in intracranial iEEG recordings from patients that are suffering from pharmaco-resistant form of epilepsy. This new approach is presented in the form of a detection framework consisting of three primary modules: first level detector, second level feature extractor, and third level detection classifier, where each module is responsible for a specific functionality. This detection framework can be perceived as a three slot system, where modules can be easily plugged in their slots and replaced by a different module or implementation on demand, in order to adapt the quality of detection (measured in terms of sensitivity, precision or inter-recording adaptability) and computational cost. Using complex real-world data sets it was confirmed that the proposed framework provides highly sensitive and precise detection, while it also significantly reduces the computation time.
Klíčová slova
Detectors, Electroencephalography, Epilepsy, Feature extraction, Indexes, Sensitivity, Standards
Autoři
KEŠNER, F.; SEKANINA, L.; BRÁZDIL, M.
Vydáno
1. 2. 2017
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Los Alamos
ISBN
978-1-5090-2809-2
Kniha
The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17)
Strany od
418
Strany do
421
Strany počet
4
URL
https://www.fit.vut.cz/research/publication/11333/
BibTex
@inproceedings{BUT144409, author="Filip {Kešner} and Lukáš {Sekanina} and Milan {Brázdil}", title="Modular Framework for Detection of Inter-ictal Spikes in iEEG", booktitle="The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17)", year="2017", pages="418--421", publisher="Institute of Electrical and Electronics Engineers", address="Los Alamos", doi="10.1109/EMBC.2017.8036851", isbn="978-1-5090-2809-2", url="https://www.fit.vut.cz/research/publication/11333/" }