[PDF][PDF] Classification of EEG Signals in a Seizure Detection System Using Dual Tree Complex Wavelet Transform and Least Squares Support Vector Machine.

D Torse, V Desai, R Khanai - … Journal of Image, Graphics & Signal …, 2018 - mecs-press.net
Epilepsy is a chronic brain disorder which affects normal neuronal activity of the brain. It
results in sudden repeated episodes of higher electrical activity due to sensory disturbance …

Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm

W Al-Salman, Y Li, P Wen, FS Miften, AY Oudah… - Brain Research, 2022 - Elsevier
The detection of epileptic seizures from electroencephalogram (EEG) signals is traditionally
performed by clinical experts through visual inspection. It is a long process, is error prone …

[PDF][PDF] Tree based wavelet transform and DAG SVM for seizure detection

ASM Murugavel, S Ramakrishnan - Signal & Image Processing, 2012 - academia.edu
In this paper, we have proposed a new tree based wavelet transform (TBWT) for feature
extraction scheme for epileptic seizure detection. Also this paper uses the Directed Acyclic …

[PDF][PDF] Classification of patient by analyzing EEG signal using DWT and least square support vector machine

M Zuhair, S Thomas - Advances in Science, Technology and …, 2017 - researchgate.net
Epilepsy is a neurological disorder which is most widespread in human beings after stroke.
Approximately 70% of epilepsy cases can be cured if diagnosed and medicated properly …

[PDF][PDF] Analysis of Epileptic Seizures in Wavelet Domain

K Najmah, M Bedeeuzzaman, T Fathima… - International Journal of …, 2015 - Citeseer
Epilepsy is a neurological disorder that can be assessed by electroencephalogram (EEG).
EEG signals, which are highly non-linear and non-stationary in nature, are very difficult to …

[PDF][PDF] Wavelet based features for epileptic seizure detection

T Fathima, M Bedeeuzzaman, O Farooq… - MES Journal of …, 2011 - academia.edu
Electroencephalogram (EEG) is a medical imaging technique that records the electrical
activity in the brain. Epilepsy, the most common neurological disorder characterized by …

Dual tree complex wavelet transform based analysis of epileptiform discharges

AT Khan, YU Khan - International Journal of Information Technology, 2018 - Springer
Diagnosis of epileptic seizures entails visual inspection of complex seizure patterns which is
a tedious task. Development of automated systems for analysing brain activity would …

EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms

SI Ben, B Larbi, M Zouhair, S Hassene - The Journal of Biomedical …, 2020 - jbr-pub.org.cn
The visual analysis of common neurological disorders such as epileptic seizures in
electroencephalography (EEG) is an oversensitive operation and prone to errors, which has …

[PDF][PDF] Epileptic seizure detection in EEG signal using discrete stationary wavelet-based stockwell transform

S Anand, S Jaiswal, PK Ghosh - Majlesi Journal of Electrical …, 2019 - mjee.isfahan.iau.ir
Epilepsy is a neurological disorder occurs at the central nervous system,
Electroencephalography (EEG) is the reliable tool for analysing the human brain activity with …

[PDF][PDF] Detection of epileptic activity in the human EEG-based wavelet transforms and svm

SV Anand, RS Selvakumari - International Journal of Engineering, 2013 - academia.edu
Epilepsy is a chronic neurological disorder which is identified by successive unexpected
seizures. Electroencephalogram (EEG) is the electrical signal of brain which contains …