4.6 Article

Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Afshin Shoeibi et al.

Summary: This article compares the importance of 50 different handcrafted features for seizure detection and investigates the computational complexity of features. The best features based on Fisher scores are then selected to classify signals on a benchmark dataset. Additionally, a convolutional autoencoder with five layers is applied for feature learning, and a hybrid method combining handcrafted features and autoencoder encoding is employed for high performance in seizure detection in EEG signals.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Engineering, Electrical & Electronic

Multi-Feature Fusion Approach for Epileptic Seizure Detection From EEG Signals

Moein Radman et al.

Summary: This article introduces a new fusion scheme based on DSET for Epileptic Seizure Detection in brain disorders. Through feature extraction, selection, fusion, and classification, it achieves higher accuracy compared to traditional methods.

IEEE SENSORS JOURNAL (2021)

Article Acoustics

Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks

Waqar Hussain et al.

Summary: This study proposes a deep learning-based method for seizure detection, which combines convolutional neural networks and long short-term memory models to generate customized features that can automatically generalize across different patients for real-time detection. Testing and comparing on 21 subjects, the decomposition of signals into time, frequency, and time-frequency features significantly improves the accuracy of seizure detection.

APPLIED ACOUSTICS (2021)

Article Engineering, Biomedical

An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis

Virender Kumar Mehla et al.

Summary: Epilepsy is a chronic neurological disorder characterized by sudden and excessive electrical activity in the brain. A novel approach using Fourier decomposition method for non-stationary EEG signals achieved high classification accuracy of 99.96% and 99.94% on BONN dataset and CHB-MIT dataset, respectively, outperforming state-of-the-art methods.

PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2021)

Article Engineering, Biomedical

Empirical wavelet transform based automated alcoholism detecting using EEG signal features

Arti Anuragi et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Review Engineering, Biomedical

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG

Poomipat Boonyakitanont et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Article Engineering, Electrical & Electronic

Elimination of Ocular Artifacts From Single Channel EEG Signals Using FBSE-EWT Based Rhythms

Pranjali Gajbhiye et al.

IEEE SENSORS JOURNAL (2020)

Article Engineering, Biomedical

Seizures classification based on higher order statistics and deep neural network

Rahul Sharma et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Article Engineering, Electrical & Electronic

Automated Alcoholism Detection Using Fourier-Bessel Series Expansion Based Empirical Wavelet Transform

Arti Anuragi et al.

IEEE SENSORS JOURNAL (2020)

Article Engineering, Electrical & Electronic

EEG-Rhythm Specific Taylor-Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals

Jose Antonio de la O. Serna et al.

IEEE SENSORS JOURNAL (2020)

Article Engineering, Electrical & Electronic

EEG-Based Detection of Focal Seizure Area Using FBSE-EWT Rhythm and SAE-SVM Network

T. Siddharth et al.

IEEE SENSORS JOURNAL (2020)

Article Computer Science, Artificial Intelligence

Phase space elliptic density feature for epileptic EEG signals classification using metaheuristic optimization method

Nastaran Darjani et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Medicine, Research & Experimental

Hidden Markov model based epileptic seizure detection using tunable Q wavelet transform

Deba Prasad Dash et al.

JOURNAL OF BIOMEDICAL RESEARCH (2020)

Article Engineering, Biomedical

Epileptic seizure identification using entropy of FBSE based EEG rhythms

Vipin Gupta et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)

Article Computer Science, Artificial Intelligence

A novel approach for classification of epileptic seizures using matrix determinant

S. Raghu et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Biotechnology & Applied Microbiology

Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification

Emine Yaman et al.

BIOMED RESEARCH INTERNATIONAL (2019)

Article Computer Science, Information Systems

Wavelet-Based EEG Processing for Epilepsy Detection Using Fuzzy Entropy and Associative Petri Net

Hsiu-Sen Chiang et al.

IEEE ACCESS (2019)

Article Engineering, Electrical & Electronic

Fourier-Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals

Abhijit Bhattacharyya et al.

DIGITAL SIGNAL PROCESSING (2018)

Article Computer Science, Artificial Intelligence

Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals

Ramy Hussein et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Engineering, Electrical & Electronic

Time-frequency representation using IEVDHM-HT with application to classification of epileptic EEG signals

Rishi Raj Sharma et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2018)

Article Computer Science, Artificial Intelligence

Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features

Yang Li et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2018)

Article Computer Science, Information Systems

Epileptic Seizure Classification of EEGs Using Time-Frequency Analysis Based Multiscale Radial Basis Functions

Yang Li et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)

Article Computer Science, Information Systems

Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG

Muhammad Sohaib J. Solaija et al.

IEEE ACCESS (2018)

Article Biology

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

U. Rajendra Acharya et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Article Computer Science, Information Systems

Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers

Zhibin Xiao et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)

Article Biology

Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition

Asmat Zahra et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2017)

Article Computer Science, Interdisciplinary Applications

Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating

Ahnaf Rashik Hassan et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Computer Science, Hardware & Architecture

A hybrid automated detection of epileptic seizures in EEG records

Noha S. Tawfik et al.

COMPUTERS & ELECTRICAL ENGINEERING (2016)

Article Engineering, Biomedical

EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning

Farhan Riaz et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)

Article Computer Science, Information Systems

DWT Based Detection of Epileptic Seizure From EEG Signals Using Naive Bayes and k-NN Classifiers

A. Sharmila et al.

IEEE ACCESS (2016)

Article Computer Science, Artificial Intelligence

Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

Rajeev Sharma et al.

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Article Engineering, Biomedical

Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform

Kaveh Samiee et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2015)

Article

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

Khalid Abualsaud et al.

TheScientificWorldJOURNAL (2015)

Article

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

Khalid Abualsaud et al.

Scientific World Journal (2015)

Article Engineering, Biomedical

Classification of ictal and seizure-free EEG signals using fractional linear prediction

Varun Joshi et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2014)

Article Computer Science, Interdisciplinary Applications

Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance

Sang-Hong Lee et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)

Proceedings Paper Engineering, Electrical & Electronic

Human Emotion Classification from EEG Signals using Multiwavelet Transform

Varun Bajaj et al.

2014 INTERNATIONAL CONFERENCE ON MEDICAL BIOMETRICS (ICMB 2014) (2014)

Article Engineering, Electrical & Electronic

Empirical Wavelet Transform

Jerome Gilles

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2013)

Article Computer Science, Artificial Intelligence

AUTOMATED DIAGNOSIS OF EPILEPSY USING CWT, HOS AND TEXTURE PARAMETERS

U. Rajendra Acharya et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

APPLICATION OF INTRINSIC TIME-SCALE DECOMPOSITION (ITD) TO EEG SIGNALS FOR AUTOMATED SEIZURE PREDICTION

Roshan Joy Martis et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2013)

Review Computer Science, Artificial Intelligence

Automated EEG analysis of epilepsy: A review

U. Rajendra Acharya et al.

KNOWLEDGE-BASED SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

APPLICATION OF EMPIRICAL MODE DECOMPOSITION (EMD) FOR AUTOMATED DETECTION OF EPILEPSY USING EEG SIGNALS

Roshan Joy Martis et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

EEG signals classification using the K-means clustering and a multilayer perceptron neural network model

Umut Orhan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

APPLICATION OF RECURRENCE QUANTIFICATION ANALYSIS FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS

U. Rajendra Acharya et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

Epileptic EEG detection using the linear prediction error energy

Semih Altunay et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Mathematics, Applied

Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform

Kemal Polat et al.

APPLIED MATHEMATICS AND COMPUTATION (2007)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)