Detection of seizure activity in EEG by an artificial neural network: a preliminary study
Computers and Biomedical Research
Classification of EEG signals using the wavelet transform
Signal Processing
Fuzzy logic alternative for analysis in the biomedical sciences
Computers and Biomedical Research
Application of Periodogram and AR Spectral Analysis to EEG Signals
Journal of Medical Systems
Wavelet analysis of generalized tonic-clonic epileptic seizures
Signal Processing
Estimation of the self-similarity parameter using the wavelet transform
Signal Processing
Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signals
Computers in Biology and Medicine
Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection
Computers in Biology and Medicine
Automatic detection of ophthalmic artery stenosis using the adaptive neuro-fuzzy inference system
Engineering Applications of Artificial Intelligence
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
Expert Systems with Applications: An International Journal
Epileptic seizure detection using dynamic wavelet network
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
Towards Personalized Neural Networks for Epileptic Seizure Prediction
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Epileptic Seizure Classification Using Neural Networks with 14 Features
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Expert Systems with Applications: An International Journal
SERS and ANFIS: Fast Identification of the Presence of Retrovirus in CD4 Cells, Cause of AIDS
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm
Computers in Biology and Medicine
Review article: Human scalp EEG processing: Various soft computing approaches
Applied Soft Computing
Adaptive Neuro-Fuzzy Inference System for diagnosis risk in dengue patients
Expert Systems with Applications: An International Journal
A fuzzy logic system for seizure onset detection in intracranial EEG
Computational Intelligence and Neuroscience
Time-frequency distributions in the classification of epilepsy from EEG signals
Expert Systems with Applications: An International Journal
Classification of EMG signals using combined features and soft computing techniques
Applied Soft Computing
Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach
International Journal of Decision Support System Technology
Computers in Biology and Medicine
Early detection of epileptic seizures based on parameter identification of neural mass model
Computers in Biology and Medicine
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Intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are demonstrated to be competent when applied individually to a variety of problems. Recently, there has been a growing interest in combining both these approaches, and as a result, neuro-fuzzy computing techniques have been evolved. In this study, a new approach based on an adaptive neuro-fuzzy inference system (ANFIS) was presented for epileptic seizure detection. The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach. Decision making was performed in two stages: feature extraction using the wavelet transform (WT) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. Some conclusions concerning the impacts of features on the detection of epileptic seizures were obtained through analysis of the ANFIS. The results are highly promising, and a comparative analysis suggests that the proposed modeling approach outperforms ANN model in terms of training performances and classification accuracies. The results confirmed that the proposed ANFIS model has some potential in epileptic seizure detection. The ANFIS model achieved accuracy rates which were higher than that of the stand-alone neural network model.