Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification

Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification

An automatic detection system for distinguishing normal, ictal, and interictal electroencephalogram (EEG) signals is of great help in clinical practice. This paper presents a three-class classification system based on discrete wavelet transform (DWT) and the nonlinear sparse extreme learning machine...

Full description

Bibliographic Details
Main Authors:	Yuanfa Wang, Zunchao Li, Lichen Feng, Chuang Zheng, Wenhao Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2017-01-01
Series:	Computational and Mathematical Methods in Medicine
Online Access:	http://dx.doi.org/10.1155/2017/6849360

Similar Items

Extreme Multiclass Classification Criteria
by: Anna Choromanska, et al.
Published: (2019-03-01)

Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
by: Imran Razzak, et al.
Published: (2019-01-01)

Regression and Multiclass Classification Using Sparse Extreme Learning Machine via Smoothing Group <italic>L</italic><sub>1/2</sub> Regularizer
by: Qinwei Fan, et al.
Published: (2020-01-01)

Multiclass machine learning classification of functional brain images
by: Cai, Yu-Ren, et al.
Published: (2019)

Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)
by: Fuangkhon Piyabute
Published: (2017-04-01)

Sparse Deep Tensor Extreme Learning Machine for Pattern Classification
by: Jin Zhao, et al.
Published: (2019-01-01)

A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy
by: Ahmed Abdelhameed, et al.
Published: (2021-04-01)

The Multiclass Classification of Cardiotocographic using Ensemble Methods for Prenatal Fetal Detection
by: LEE, ZHENG, et al.
Published: (2019)

Automatic Identification of Epileptic Seizures From EEG Signals Using Sparse Representation-Based Classification
by: Sobhan Sheykhivand, et al.
Published: (2020-01-01)

Epilepsy seizure types, classification and treatment
by: D. S. Magazi, et al.
Published: (2018-08-01)

Automatic Detection and Classification of Neural Signals in Epilepsy
by: Yadav, Rajeev
Published: (2012)

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction
by: Vincent Michel, et al.
Published: (2011-01-01)

Sparse Multiclass And Multi-Label Classifier Design For Faster Inference
by: Bapat, Tanuja
Published: (2013)

Definition and classification of epilepsy. Classification of epileptic seizures 2016
by: K. Yu. Mukhin
Published: (2017-04-01)

Guidelines for epilepsy management in India classification of seizures and epilepsy syndromes
by: Ramaratnam Sridharan, et al.
Published: (2010-01-01)

Reconfigurable Hardware Design for Automatic Epilepsy Seizure Detection using EEG Signals
by: S. S. Rafiammal, et al.
Published: (2020-06-01)

Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
by: Hector Alaiz-Moreton, et al.
Published: (2019-01-01)

Multiclass Event Classification from Text
by: Daler Ali, et al.
Published: (2021-01-01)

Multiclass Response Feature Selection and Cancer Tumour Classification With Support Vector Machine
by: Alabi Waheed Banjoko, et al.
Published: (2020-01-01)

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine
by: Yudong Zhang, et al.
Published: (2012-09-01)

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification
by: Qingshan She, et al.
Published: (2018-01-01)

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems
by: Jiahua Luo, et al.
Published: (2021-01-01)

Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.
by: Muhammad Naveed Iqbal Qureshi, et al.
Published: (2016-01-01)

Methods for the Detection of Seizure Bursts in Epilepsy
by: Udaya Seneviratne, et al.
Published: (2019-02-01)

Multi-type Epilepsy Diagnosis and Automatic Epileptic Seizure Detection Based on Recurrent Neural Networks
by: Wan-lin Chang, et al.
Published: (2009)

High-precision multiclass cell classification by supervised machine learning on lectin microarray data
by: Mayu Shibata, et al.
Published: (2020-12-01)

Multiclass Classification Based on Combined Motor Imageries
by: Cecilia Lindig-León, et al.
Published: (2020-11-01)

Efficient Decomposition-Based Multiclass and Multilabel Classification
by: Park, Sang-Hyeun
Published: (2012)

A nonparametric multiclass partitioning method for classification
by: Gelfand, Saul B. (Saul Brian)
Published: (2012)

Heart Sound Signals Segmentation and Multiclass Classification
by: Abdelhamid Bourouhou, et al.
Published: (2020-12-01)

Evaluation of machine learning methods for seizure prediction in epilepsy
by: Eberlein Matthias, et al.
Published: (2019-09-01)

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification
by: Liang-Rui Ren, et al.
Published: (2020-10-01)

Multiclass obstacles detection and classification using stereovision and Bayesian network for intelligent vehicles
by: Lina Yang, et al.
Published: (2020-08-01)

A study of multiclass support vector machines
by: Jying-Nan Wang, et al.
Published: (2003)

Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot
by: Francisco David Pérez-Reynoso, et al.
Published: (2021-08-01)

Extreme Learning Machines as Encoders for Sparse Reconstruction
by: S M Abdullah Al Mamun, et al.
Published: (2018-11-01)

Ilae Revised Classification and Terminology of Seizures and Epilepsies, 2005-2009
by: J Gordon Millichap
Published: (2010-05-01)

Predicting Tunnel Squeezing Using Multiclass Support Vector Machines
by: Yang Sun, et al.
Published: (2018-01-01)

Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis
by: Jian Huang, et al.
Published: (2020-01-01)

Automatic mammography tumor classification system based on extreme learning machine
by: 王元良
Published: (2018)

Cannot write session to /tmp/vufind_sessions/sess_42nsbaf1shavk6svngfnb6tu22