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

被引:90
作者
Gu, Ying [1 ,2 ]
Cleeren, Evy [3 ]
Dan, Jonathan [4 ]
Claes, Kasper [5 ]
Van Paesschen, Wim [3 ]
Van Huffel, Sabine [1 ,2 ]
Hunyadi, Borbala [1 ,2 ]
机构
[1] Katholieke Univ Leuven, Dept Elect Engn ESAT, STADIUS Ctr Dynam Syst Signal Proc & Data Analyt, B-3001 Leuven, Belgium
[2] IMEC, B-3001 Leuven, Belgium
[3] Univ Hosp Leuven, Lab Epilepsy Res, B-3000 Leuven, Belgium
[4] Byteflies, B-2600 Antwerp, Belgium
[5] UCB, B-1070 Brussels, Belgium
基金
欧洲研究理事会;
关键词
seizure detection; epilepsy; EEG; EOG; wearable sensor; SVM; CLASSIFICATION; INFORMATION; ALGORITHM; BRAIN; ONSET;
D O I
10.3390/s18010029
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 37 条
[1]   Diagnostic usefulness and duration of the inpatient long-term video-EEG monitoring: Findings in patients extensively investigated before the monitoring [J].
Alving, Jorgen ;
Beniczky, Sandor .
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY, 2009, 18 (07) :470-473
[2]   Mobile EEG in epilepsy [J].
Askamp, Jessica ;
van Putten, Michel J. A. M. .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2014, 91 (01) :30-35
[3]  
Bell A. J., 1995, Advances in Neural Information Processing Systems 7, P467
[4]   Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG [J].
Bleichner, Martin G. ;
Debener, Stefan .
FRONTIERS IN HUMAN NEUROSCIENCE, 2017, 11
[5]   Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see? [J].
Bleichner, Martin G. ;
Lundbeck, Micha ;
Selisky, Matthias ;
Minow, Falk ;
Jaeger, Manuela ;
Emkes, Reiner ;
Debener, Stefan ;
De Vos, Maarten .
PHYSIOLOGICAL REPORTS, 2015, 3 (04)
[6]   Wearable Electroencephalography What Is It, Why Is It Needed, and What Does It Entail? [J].
Casson, Alexander J. ;
Yates, David C. ;
Smith, Shelagh J. M. ;
Duncan, John S. ;
Rodriguez-Villegas, Esther .
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2010, 29 (03) :44-56
[7]  
CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
[8]   The global burden and stigma of epilepsy [J].
de Boer, Hanneke M. ;
Mula, Marco ;
Sander, Josernir W. .
EPILEPSY & BEHAVIOR, 2008, 12 (04) :540-546
[9]   Sparse time artifact removal [J].
de Cheveigne, Alain .
JOURNAL OF NEUROSCIENCE METHODS, 2016, 262 :14-20
[10]   Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram [J].
De Clercq, Wim ;
Vergult, Anneleen ;
Vanrumste, Bart ;
Van Paesschen, Wim ;
Van Huffel, Sabine .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (12) :2583-2587