Classification of epileptic EEG signals with the utilization of Bonferroni mean based fuzzy pattern tree
The Electroencephalogram (EEG) is an essential tool used to detect and investigate multiple
neurological disorders within the human brain. However, examination and visualization of …
neurological disorders within the human brain. However, examination and visualization of …
Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
O Kocadagli, R Langari - Expert Systems with Applications, 2017 - Elsevier
Epilepsy is one of the most common central nervous system disorders. Epileptic people
suffer from recurrent seizures depending on many trigger factors such as genetic …
suffer from recurrent seizures depending on many trigger factors such as genetic …
Epileptic seizures identification with autoregressive model and firefly optimization based classification
A Attia, A Moussaoui, Y Chahir - Evolving Systems, 2021 - Springer
Identifying epilepsy cases and epileptic seizures from electroencephalogram (EEG) signals
is a challenging issue, which usually needs high level of skilled neurophysiologists …
is a challenging issue, which usually needs high level of skilled neurophysiologists …
[PDF][PDF] Fuzzy-based automatic epileptic seizure detection framework
Detection of epileptic seizures on the basis of Electroencephalogram (EEG) recordings is a
challenging task due to the complex, non-stationary and non-linear nature of these …
challenging task due to the complex, non-stationary and non-linear nature of these …
Automated identification of epileptic seizures from EEG signals using FBSE-EWT method
Epilepsy is a neurological disorder that leads to the occurrence of recurrent seizures. The
electroencephalogram (EEG) signal is commonly used to record the electrical functioning …
electroencephalogram (EEG) signal is commonly used to record the electrical functioning …
Fuzzy inference system for classification of electroencephalographic (eeg) data
SM Harsha, J Vajpai - … 11th International Conference, IHCI 2019, Allahabad …, 2020 - Springer
This paper aims to develop a Fuzzy Inference System that categorizes the
Electroencephalographic (EEG) signals generated from a healthy brain with those …
Electroencephalographic (EEG) signals generated from a healthy brain with those …
Review of methods for EEG signal classification and development of new fuzzy classification-based approach
J Rabcan, V Levashenko, E Zaitseva, M Kvassay - Ieee Access, 2020 - ieeexplore.ieee.org
The analysis of EEG signal is a relevant problem in health informatics, and its development
can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG …
can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG …
Empirical wavelet transform-based framework for diagnosis of epilepsy using EEG signals
SI Khan, RB Pachori - AI-enabled smart healthcare using biomedical …, 2022 - igi-global.com
In the chapter, a novel yet simple method for classifying EEG signals associated with normal
and epileptic seizure categories has been proposed. The proposed method is based on …
and epileptic seizure categories has been proposed. The proposed method is based on …
Comprehensive Analysis of Hierarchical Aggregation Functions Decision Trees, SVD, K-means Clustering, PCA and Rule Based AI Optimization in the Classification …
R Harikumar, T Vijayakumar - International Journal of Computer …, 2013 - cspub-ijcisim.org
A comprehensive analysis for the performance of post classifiers such as Hierarchical Soft
Decision Trees, Singular value decomposition (SVD), k-means clustering, Principal …
Decision Trees, Singular value decomposition (SVD), k-means clustering, Principal …
A new wavelet-based neural network for classification of epileptic-related states using EEG
E Juárez-Guerra, V Alarcon-Aquino… - Journal of Signal …, 2020 - Springer
In this paper, we present a novel neural network able to classify epileptic seizures using
electroencephalogram (EEG) signals, called “Multidimensional Radial Wavelons Feed …
electroencephalogram (EEG) signals, called “Multidimensional Radial Wavelons Feed …