Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The brain neurons' electrical activities represented by Electroencephalogram (EEG) signals are the most common data for diagnosing Epilepsy seizure, which is considered a chronic nervous disorder that cannot be controlled medically using surgical operation or medications with more than 40 % of Epilepsy seizure case. With the progress and development of artificial intelligence and deep learning techniques, it becomes possible to detect these seizures over the observation of the non-stationary-dynamic EEG signals, which contain important information about the mental state of patients. This paper provides a concerted deep machine learning model consisting of two simultaneous techniques detecting the activity of epileptic seizures using EEG signals. The time-frequency image of EEG waves and EEG raw waves are used as input components for the convolution neural network (CNN) and recurrent neural network (RNN) with long- and short-term memory (LSTM). Two processing signal methods have been used, Short-Time Fourier Transform (STFT) and Continuous Wavelet Transformation (CWT), have been used for generating spectrogram and scalogram images with sizes of 77 × 75 and 32 × 32, respectively. The experimental results showed a detection accuracy of 99.57 %, 99.57 % using CWT Scalograms, and 99.26 %, 97.12 % using STFT spectrograms as CNN input for the Bonn University dataset and the CHB-MIT dataset, respectively. Thus, the proposed models provide the ability to detect epileptic seizures with high success compared to previous studies.
Açıklama
Anahtar Kelimeler
Convolutional neural network, Deep learning, EEG, Electroencephalogram, Epileptic seizure, Recurrent neural network
Kaynak
Chaos, Solitons and Fractals
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
181
Sayı
Künye
Abdulwahhab, A. H., Abdulaal, A. H., Thary Al-Ghrairi, A. H., Mohammed, A. A., Valizadeh, M. (2024). Detection of epileptic seizure using EEG signals analysis based on deep learning techniques. Chaos, Solitons and Fractals, 181. 10.1016/j.chaos.2024.114700
