DETECTION OF THE ONSET OF EPILEPTIC SEIZURE SIGNAL FROM SCALP EEG USING BLIND SIGNAL SEPARATION

被引：6

作者：

Moghavvemi, M. ^{[1
]}

Mehrkanoon, S. ^{[1
]}

机构：

[1] Univ Malaya, Ctr Res Appl Elect, Kuala Lumpur 50603, Malaysia

来源：

BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS | 2009年 / 21卷 / 04期

关键词：

Epileptic seizure detection; Blind source signal separation; Electroencephalography;

D O I：

10.4015/S1016237209001301

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Investigation of epileptic electroencephalogram (EEG) signal is one of the major areas of study in the field of signal processing. The ability to detect the seizure signal and its origin within the brain is of prime importance. This paper proposes a sequential blind signal separation (BSS) based system to extract the seizure signal from scalp EEG and to pinpoint the main location of seizure signal within the brain. BSS algorithm is used to demix the EEG signal into signals with independent features. Scalp time-mapping process is applied to determine the main location of the extracted seizure signal within the brain. The algorithm has been tested on epileptic EEG signals recorded from patients for detection of the onset of seizure waves and their origin within the brain.

引用

页码：287 / 290

页数：4

共 50 条

[21] Epileptic seizure detection in EEG signal with GModPCA and support vector machine
Jaiswal, Abeg Kumar
Banka, Haider
BIO-MEDICAL MATERIALS AND ENGINEERING, 2017, 28 (02) : 141 - 157
[22] Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal
Das, Khakon
Daschakladar, Debashis
Roy, Partha Pratim
Chatterjee, Atri
Saha, Shankar Prasad
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 57
[23] AUTOMATIC EPILEPTIC SEIZURE ONSET-OFFSET DETECTION BASED ON CNN IN SCALP EEG
Boonyakitanont, Poomipat
Lek-uthai, Apiwat
Songsiri, Jitkomut
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 1225 - 1229
[24] Epileptic Seizure Prediction and Identification of Epileptogenic Region using EEG Signal
Sharma, Aarti
Rai, J. K.
Tewari, R. P.
2015 INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT), 2015, : 1194 - 1198
[25] A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Qiu, Xuanjie
Yan, Fang
Liu, Haihong
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 83
[26] Multiresolution approach for artifacts removal and localization of seizure onset zone in epileptic EEG signal
Yedurkar, Dhanalekshmi P.
Metkar, Shilpa P.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 57
[27] Detection of paroxysmal EEG discharges using multitaper blind signal source separation
Halford, Jonathan J.
Independent Component Analysis and Signal Separation, Proceedings, 2007, 4666 : 601 - 608
[28] Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum
Truong Quang Dang Khoa
Nguyen Thi Minh Huong
Vo Van Toi
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2012, 2012
[29] Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis
Rodriguez Aldana, Yissel
Hunyadi, Borbala
Maranon Reyes, Enrique J.
Rodriguez Rodriguez, Valia
Van Huffel, Sabine
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019, 23 (02) : 660 - 671
[30] Epileptic seizure characterization by Lyapunov exponent of EEG signal
Osowski, Stanislaw
Swiderski, Bartosz
Cichocki, Andrzej
Rysz, Andrzej
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2007, 26 (05) : 1276 - 1287

← 1 2 3 4 5 →