Classification of EEG signals using neural network and logistic regression

By Abdulhamit Subasi, Ergun Erçelebi. Comput. Methods Programs Biomed., 2005

588 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9dedc198b4e9c1286a75a87099d084255c64bc3c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Amjed Subhi Al-Fahoum
2. Ausilah Alfraihat
3. Dimitrios I. Fotiadis
4. Alexandros T. Tzallas
5. Markos G. Tsipouras
6. Mahmut Ozer
7. Mahmut Hekim
8. Umut Orhan

In Cognitive Neuroscience

1. Mahmut Ozer
2. Mahmut Hekim
3. Umut Orhan
4. Amjed Subhi Al-Fahoum
5. Ausilah Alfraihat
6. Dimitrios I. Fotiadis
7. Alexandros T. Tzallas
8. Markos G. Tsipouras

In Signal Processing

1. Amjed Subhi Al-Fahoum
2. Ausilah Alfraihat
3. Dimitrios I. Fotiadis
4. Alexandros T. Tzallas
5. Markos G. Tsipouras
6. Mahmut Ozer
7. Mahmut Hekim
8. Umut Orhan

Citations in the corpus

• EEG signal classification using wavelet feature extraction and a mixture of expert model (2007, methodology): “In general, it must be said that no time-frequency regions but rather time-scale regions are defined (Subasi, 2005a, 2005b; Subasi & Ercelebi, 2005).”
• Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis (2009, methodology): “Since the early days of automatic analysis of epileptic EEG signals, representations based on Fourier transform and parametric methods have been applied [6].”
• EEG signals classification using the K-means clustering and a multilayer perceptron neural network model (2011, methodology): “Therefore, in this study we used the backpropagation supported by the Levenberg–Marquardt (LM) algorithm (Hazarika et al., 1997; Ogulata et al., 2009; Subasi and Ercelebi, 2005).”
• Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time-Frequency Domains (2014, methodology): “The recoding of the EEG signals is performed by fixing an electrode on the subject scalp using the standardized electrode placement scheme (Figure 1) [10–12].”
• Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis. (2015, unknown): “Examplesofclassificationalgorithmsusedforseizuredetection andepilepsydiagnosisare:k-NearestNeighboralgorithm(k-NN) [31],ProbabilisticNeuralNetwork(PNN)[32],Fisher'slinear discriminant(FLD)[33],SupportVectorMachine(SVM)[34], OptimumPathForest(OPF)[35],PrincipalComponentAnalysis (PCA)[36],andEnhancedP”