Patient-aware adaptive ngram-based algorithm for epileptic seizure prediction using EEG signals

Alawieh, Hussein; Hammoud, Hussein; Haidar, Mortada; Nassralla, Mohamad H.; El-Hajj, Ahmad M.; Dawy, Zaher

doi:10.1109/healthcom.2016.7749471

Cited by 4 publications

(3 citation statements)

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“…Several groups developed automatic seizure detection algorithms based on EEG [13][14][15]. Most of them used the data from the Freiburg seizure prediction and the European epilepsy database to test their algorithms using data from 2 to 6 electrodes to recreate conditions for outpatient performance.…”

Section: Overview Of Eeg Electrodesmentioning

confidence: 99%

“…Most of them used the data from the Freiburg seizure prediction and the European epilepsy database to test their algorithms using data from 2 to 6 electrodes to recreate conditions for outpatient performance. The database in Freiburg uses six electrodes: three electrodes near the focal area and three electrodes at a distance [13][14][15][16]. Furthermore, various types of novel EEG sensor electrodes have been introduced by many researchers.…”

Section: Overview Of Eeg Electrodesmentioning

confidence: 99%

“…[11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47]…”

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The Status of Textile-Based Dry EEG Electrodes

Tseghai

Malengier

Fante

et al. 2021

Autex Research Journal

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Electroencephalogram (EEG) is the biopotential recording of electrical signals generated by brain activity. It is useful for monitoring sleep quality and alertness, clinical applications, diagnosis, and treatment of patients with epilepsy, disease of Parkinson and other neurological disorders, as well as continuous monitoring of tiredness/ alertness in the field. We provide a review of textile-based EEG. Most of the developed textile-based EEGs remain on shelves only as published research results due to a limitation of flexibility, stickability, and washability, although the respective authors of the works reported that signals were obtained comparable to standard EEG. In addition, nearly all published works were not quantitatively compared and contrasted with conventional wet electrodes to prove feasibility for the actual application. This scenario would probably continue to give a publication credit, but does not add to the growth of the specific field, unless otherwise new integration approaches and new conductive polymer composites are evolved to make the application of textile-based EEG happen for bio-potential monitoring.

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Section: Overview Of Eeg Electrodesmentioning

confidence: 99%