Analysis of Fuzzy Techniques and Neural Networks (RBF&MLP) in Classification of Epilepsy Risk Levels from EEG Signals

IETE Journal of Research ◽

10.1080/03772063.2007.10876162 ◽

2007 ◽

Vol 53 (5) ◽

pp. 465-474 ◽

Author(s):

R Sukanesh ◽

R Harikumar

Keyword(s):

Neural Networks ◽

Eeg Signals ◽

Risk Levels ◽

Fuzzy Techniques

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Fuzzy techniques and hierarchical aggregation functions decision trees for the classification of epilepsy risk levels from EEG signals

TENCON 2008 - 2008 IEEE Region 10 Conference ◽

10.1109/tencon.2008.4766545 ◽

2008 ◽

Author(s):

R. Sukanesh ◽

R. Harikumar

Keyword(s):

Decision Trees ◽

Eeg Signals ◽

Risk Levels ◽

Hierarchical Aggregation ◽

Aggregation Functions ◽

Fuzzy Techniques

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Performance Analysis of ApEn as a Feature Extraction Technique and Time Delay Neural Networks, Multi Layer Perceptron as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG Signals

Advances in Intelligent Systems and Computing - Computational Intelligence, Cyber Security and Computational Models ◽

10.1007/978-981-10-0251-9_10 ◽

2015 ◽

pp. 89-97 ◽

Author(s):

Sunil Kumar Prabhakar ◽

Harikumar Rajaguru

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Performance Analysis ◽

Extraction Technique ◽

Multi Layer Perceptron ◽

Eeg Signals ◽

Risk Levels ◽

Feature Extraction Technique

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Fuzzy Techniques and Aggregation Operators in Classification of Epilepsy Risk Levels for Diabetic Patients Using EEG Signals and Cerebral Blood Flow

Journal of Biomaterials and Tissue Engineering ◽

10.1166/jbt.2015.1316 ◽

2015 ◽

Vol 5 (4) ◽

pp. 316-322 ◽

Author(s):

R. Harikumar ◽

P. Sunil Kumar

Keyword(s):

Cerebral Blood Flow ◽

Aggregation Operators ◽

Diabetic Patients ◽

Eeg Signals ◽

Risk Levels ◽

Fuzzy Techniques

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Performance analysis of fuzzy techniques hierarchical aggregation functions decision trees and Support Vector Machine (SVM)for the classification of epilepsy risk levels from EEG signals

2011 IEEE Recent Advances in Intelligent Computational Systems ◽

10.1109/raics.2011.6069364 ◽

2011 ◽

Author(s):

R. Harikumar ◽

T. Vijaykumar ◽

C. Palanisamy

Keyword(s):

Support Vector Machine ◽

Performance Analysis ◽

Decision Trees ◽

Support Vector ◽

Eeg Signals ◽

Risk Levels ◽

Hierarchical Aggregation ◽

Aggregation Functions ◽

Fuzzy Techniques

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Performance Analysis of Morphological Operators Based Feature Extraction and SVD, Neural Networks as Post Classifier for the Classification of Epilepsy Risk Levels

Lecture Notes in Electrical Engineering - Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012) ◽

10.1007/978-81-322-0997-3_1 ◽

2013 ◽

pp. 1-11 ◽

Author(s):

R. Harikumar ◽

T. Vijaykumar ◽

C. Ganesh Babu ◽

M. G. Sreejith

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Performance Analysis ◽

Morphological Operators ◽

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A New Approach for Classification of Epilepsy EEG Signals Based on Temporal Convolutional Neural Networks

2018 11th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid.2018.10119 ◽

2018 ◽

Author(s):

Jiuwen Zhang ◽

Haobo Wu ◽

Wei Su ◽

Xin Wang ◽

Meng Yang ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Eeg Signals ◽

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Neural networks for classification of multichannel EEG signals

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.1992.5761233 ◽

1992 ◽

Author(s):

D. C. Reddy ◽

K. Deergha Rao

Keyword(s):

Neural Networks ◽

Eeg Signals ◽

Multichannel Eeg

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Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks

Artificial Neural Networks — ICANN 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-44668-0_84 ◽

2001 ◽

pp. 601-608 ◽

Author(s):

Bao-Liang Lu ◽

Jonghan Shin ◽

Michinori Ichikawa

Keyword(s):

Neural Networks ◽

Massively Parallel ◽

Eeg Signals ◽

Modular Neural Networks

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Classification of EEG signals using spiking neural networks

2018 26th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2018.8404470 ◽

2018 ◽

Author(s):

Aykut Tahtirvanci ◽

Akif Durdu ◽

Burak Yilmaz

Keyword(s):

Neural Networks ◽

Spiking Neural Networks ◽

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Analytical Decision Making from Clinical Data-Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals-A Case Study

IFMBE Proceedings - 13th International Conference on Biomedical Engineering ◽

10.1007/978-3-540-92841-6_159 ◽

2009 ◽

pp. 647-651

Author(s):

V. K. Sudhaman ◽

R. Sukanesh ◽

R. HariKumar

Keyword(s):

Decision Making ◽

Clinical Data ◽

Eeg Signals ◽

Risk Levels ◽

Diagnosis And Classification

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