Epileptic Seizure Detection using the Singular Values of EEG Signals

被引：0

作者：

Shahid, Arslan ^{[1
]}

Kamel, Nidal ^{[1
]}

Malik, Aamir Saeed ^{[1
]}

Jatoi, Munsif Ali ^{[1
]}

机构：

[1] Univ Teknol PETRONAS, Dept Elect & Elect Engn, Ctr Intelligent Signal & Imaging Res, Tronoh, Malaysia

来源：

2013 ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING (CME) | 2013年

关键词：

Electroencephalography (EEG); Singular Value Decomposition (SVD); Epileptic Seizures; PATIENT; ONLINE; SYSTEM; ONSET;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A new technique based on Singular Value Decomposition (SVD) for the detection of epileptic seizures is proposed. The SVD is applied sequentially on a sliding window of one second width of EEG data and the r singular values are obtained and used to indicate sudden changes in the signals. EEG recordings of 4-paediatric patients with 20 seizures are used to validate the proposed algorithm and the preliminary results indicates good level of sensitivity by the singular values to the changes in the EEG signals due to epileptic seizure. This sensitivity can be used to develop more reliable seizure detector than the existing techniques.

引用

页码：652 / 655

页数：4

共 50 条

[31] Machine Learning Approach for Epileptic Seizure Detection Using Wavelet Analysis of EEG Signals
Kumar, Abhishek
Kolekar, Maheshkumar H.
2014 INTERNATIONAL CONFERENCE ON MEDICAL IMAGING, M-HEALTH & EMERGING COMMUNICATION SYSTEMS (MEDCOM), 2015, : 412 - 416
[32] Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals
Sriya Ravi
Shreenidhi S
A. Shahina
A. Nayeemulla N. Ilakiyaselvan
Multimedia Tools and Applications, 2022, 81 : 6585 - 6598
[33] Detection of Epileptic Seizure from EEG Signals by Using Teager Energy and Hilbert Transform
Yadekar, Morteza
Lotfivand, Nasser
2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO), 2017,
[34] Evidence Theory-based Approach for Epileptic Seizure Detection using EEG Signals
Mohamed, Abduljalil
Shaban, Khaled Bashir
Mohamed, Amr
12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2012), 2012, : 79 - 85
[35] Epileptic Seizure Detection in EEG Signals Using Machine Learning and Deep Learning Techniques
Kode, Hepseeba
Elleithy, Khaled
Almazaydeh, Laiali
IEEE ACCESS, 2024, 12 : 80657 - 80668
[36] Identification of Epileptic Seizure in EEG Signals Using DWT and ANN
Bairagi, Ramendra Nath
Maniruzzaman, Md
2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 142 - 145
[37] Classification of Epileptic Seizure EEG signals using EMD and ANFIS
Pushpa, B.
Najumnissa, D.
2014 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2014,
[38] Epileptic Seizure Prediction in EEG Signals using EMD and DWT
Bekbalanova, Marzhan
Zhunis, Aliya
Duisebekov, Zhasdauren
2019 15TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO), 2019,
[39] Epileptic Seizure Prediction from EEG Signals Using DenseNet
Jana, Ranjan
Bhattacharyya, Siddhartha
Das, Swagatam
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), 2019, : 604 - 609
[40] A Study of Combined Lossy Compression and Seizure Detection on Epileptic EEG Signals
Binh Nguyen
Ma, Wanli
Tran, Dat
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES-2018), 2018, 126 : 156 - 165

← 1 2 3 4 5 →