Publication Details
Modular Framework for Detection of Inter-ictal Spikes in iEEG
Detectors, Electroencephalography, Epilepsy, Feature extraction, Indexes, Sensitivity, Standards
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.
@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/"
}