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Comparison Between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2018 Jan 4
PMID 29295522
Citations 35
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Abstract

A wearable electroencephalogram (EEG) device for continuous monitoring of patients suffering from epilepsy would provide valuable information for the management of the disease. Currently no EEG setup is small and unobtrusive enough to be used in daily life. Recording behind the ear could prove to be a solution to a wearable EEG setup. This article examines the feasibility of recording epileptic EEG from behind the ear. It is achieved by comparison with scalp EEG recordings. Traditional scalp EEG and behind-the-ear EEG were simultaneously acquired from 12 patients with temporal, parietal, or occipital lobe epilepsy. Behind-the-ear EEG consisted of cross-head channels and unilateral channels. The analysis on Electrooculography (EOG) artifacts resulting from eye blinking showed that EOG artifacts were absent on cross-head channels and had significantly small amplitudes on unilateral channels. Temporal waveform and frequency content during seizures from behind-the-ear EEG visually resembled that from scalp EEG. Further, coherence analysis confirmed that behind-the-ear EEG acquired meaningful epileptic discharges similarly to scalp EEG. Moreover, automatic seizure detection based on support vector machine (SVM) showed that comparable seizure detection performance can be achieved using these two recordings. With scalp EEG, detection had a median sensitivity of 100% and a false detection rate of 1.14 per hour, while, with behind-the-ear EEG, it had a median sensitivity of 94.5% and a false detection rate of 0.52 per hour. These findings demonstrate the feasibility of detecting seizures from EEG recordings behind the ear for patients with focal epilepsy.

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References
1.
Mirkovic B, Bleichner M, De Vos M, Debener S . Target Speaker Detection with Concealed EEG Around the Ear. Front Neurosci. 2016; 10:349. PMC: 4961688. DOI: 10.3389/fnins.2016.00349. View

2.
Qu H, Gotman J . A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: possible use as a warning device. IEEE Trans Biomed Eng. 1997; 44(2):115-22. DOI: 10.1109/10.552241. View

3.
Gu Y, Nascimento O, Lucas M, Farina D . Identification of task parameters from movement-related cortical potentials. Med Biol Eng Comput. 2009; 47(12):1257-64. DOI: 10.1007/s11517-009-0523-3. View

4.
De Clercq W, Vergult A, Vanrumste B, Van Paesschen W, Van Huffel S . Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram. IEEE Trans Biomed Eng. 2006; 53(12 Pt 1):2583-7. DOI: 10.1109/TBME.2006.879459. View

5.
Holsheimer J, Feenstra B . Volume conduction and EEG measurements within the brain: a quantitative approach to the influence of electrical spread on the linear relationship of activity measured at different locations. Electroencephalogr Clin Neurophysiol. 1977; 43(1):52-8. DOI: 10.1016/0013-4694(77)90194-8. View