Combined neural network model employing wavelet coefficients for EEG signals classification

By Elif Derya Übeyli. Digit. Signal Process., 2009

307 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/cf2b0266c7eb0febed9f2e460a8f6a7b4d134101

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Citations in the corpus

Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis. (2015, unknown): “[ 106 ] 2005 Gain insights into the dynamics of neural activity Ocs – – Gü ler and U ¨ beyli [ 107 ] 2005 EEG signals classification db2 5 Adaptive neuro - fuzzy inference system , accuracy , sensitivity , specificity Guler and Ubeyli [ 108 ] 2005 Epilepsy detection db1 2 ANN , accuracy , specificit”
Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks (2019, background): “It is widely adopted in fault detection schemes since it can provide features with the optimal time-frequency resolution in all frequency ranges, which results in a better feature extraction ability [28].”
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model (2011, methodology): “In order to analyze the EEG signals, ANN models with different architectures have been used such as multilayer perceptron neural network (MLPNN) (Alkan, Koklukaya, & Subasi, 2005; Subasi, 2005a, 2005b, 2007; Subasi & Ercelebi, 2005; Ubeyli, 2009), adaptive neuro-fuzzy inference system (ANFIS) (Guler”
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques (2015, background): “Large amounts of EEG data are recorded and it is not possible to analyze EEG data visually [1].”
EEG based multi-class seizure type classification using convolutional neural network and transfer learning (2020, methodology): “In the first method, we have applied discrete wavelet transform (DWT) using Haar wavelet on EEG signals till 5th level and extracted various features as reported in Chen, Wan, and Bao (2017), Lima and Coelho (2011), Lima, Coelho, and Chagas (2009) and Ubeyli (2009).”