Detection of epileptic seizures from EEG signals with Hilbert Huang Transformation

Muzaffer Aslan; Zeynep Alçin

doi:10.17776/csj.682734

EN

Detection of epileptic seizures from EEG signals with Hilbert Huang Transformation

Abstract

Epilepsy is a significant neurological disease that occurs due to abnormal activities of a particular portion of brain neurons. Electroencephalography (EEG) signals are mainly used to detect this disease. Epilepsy can be diagnosed automatically by measuring and analyzing the non-linearity and non-stationary properties of EEG signals. In this study, the Hilbert Huang Transformation (HHT) is proposed to extract the distinctive features from EEG signals for epileptic seizure detection. Research work, firstly, the mean Instantaneous Amplitude (IA) and mean Instantaneous Frequency (IF) data were extracted from EEG signals with Hilbert Huang Transformation (HHT) as a feature. Then, these features were classified with Extreme Learning Machine (ELM). Classification results indicated that epileptic seizures are detected with high accuracy. In addition, the performance evaluation of the proposed method was compared with some other techniques studied by using the same dataset recently. According to the experimental results, HHT based approach has 0.5-1% better classification accuracy than current studies and higher accuracy in detecting epileptic seizures than similar studies.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Muzaffer Aslan ^*
0000-0002-2418-9472
Türkiye

Zeynep Alçin
0000-0002-7034-3119
Türkiye

Publication Date

June 30, 2021

Submission Date

February 5, 2020

Acceptance Date

June 17, 2021

Published in Issue

Year 2021 Volume: 42 Number: 2

DOI

https://doi.org/10.17776/csj.682734

IZ

https://izlik.org/JA94ML25TX

Cite

RIS / Bibtex

APA

Aslan, M., & Alçin, Z. (2021). Detection of epileptic seizures from EEG signals with Hilbert Huang Transformation. Cumhuriyet Science Journal, 42(2), 508-514. https://doi.org/10.17776/csj.682734

Detection of epileptic seizures from EEG signals with Hilbert Huang Transformation

Öz

Detection of epileptic seizures from EEG signals with Hilbert Huang Transformation

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

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WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG

FBSE-Based Approach for Discriminating Seizure and Normal EEG Signals

Time–frequency transform based EEG data augmentation for brain–computer interfaces