High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence
Joint Authors
Höller, Yvonne
Trinka, Eugen
Höller, Peter
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity.
A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs.
However, invasive recordings are not widely applicable since they bear risks and costs, and the harm of the surgical intervention of implantation needs to be weighted against the informational benefits of the invasive examination.
In contrast, scalp EEG is widely available at low costs and does not bear any risks.
However, the detection of HFOs on the scalp represents a challenge that was taken on so far mostly via visual detection.
Visual detection of HFOs is, in turn, highly time-consuming and subjective.
In this review, we discuss that automated detection algorithms for detection of HFOs on the scalp are highly warranted because the available algorithms were all developed for invasively recorded EEG and do not perform satisfactorily in scalp EEG because of the low signal-to-noise ratio and numerous artefacts as well as physiological activity that obscures the tiny phenomena in the high-frequency range.
American Psychological Association (APA)
Höller, Peter& Trinka, Eugen& Höller, Yvonne. 2018. High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130595
Modern Language Association (MLA)
Höller, Peter…[et al.]. High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1130595
American Medical Association (AMA)
Höller, Peter& Trinka, Eugen& Höller, Yvonne. High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1130595
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130595