Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
Top Cited Papers
- 28 July 2005
- journal article
- Published by Elsevier
- Vol. 148 (2) , 113-121
- https://doi.org/10.1016/j.jneumeth.2005.04.013
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extractionExpert Systems with Applications, 2004
- Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural networkComputers in Biology and Medicine, 2003
- Analysis of EEG records in an epileptic patient using wavelet transformPublished by Elsevier ,2003
- Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference systemArtificial Intelligence in Medicine, 2002
- Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain statePhysical Review E, 2001
- An introduction to fuzzy systemsClinica Chimica Acta; International Journal of Clinical Chemistry, 1998
- Automated interictal EEG spike detection using artificial neural networksElectroencephalography and Clinical Neurophysiology, 1992
- Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary OcclusionNeural Computation, 1990
- The wavelet transform, time-frequency localization and signal analysisIEEE Transactions on Information Theory, 1990
- Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positivesIEEE Transactions on Biomedical Engineering, 1989