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A particle swarm algorithm optimization‐based SVM–KNN algorithm for epileptic EEG recognition

https://doi.org/10.1002/int.23040
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Support-Vector Networks
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Entropy measures for biological signal analyses
inferredcites →https://doi.org/10.1016/j.amc.2006.09.022openalex-snapshot
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
inferredcites →https://doi.org/10.1016/j.clinph.2009.09.002openalex-snapshot
Classification of patterns of EEG synchronization for seizure prediction
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.09.017openalex-snapshot
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
inferredcites →https://doi.org/10.1016/j.neucom.2017.03.027openalex-snapshot
Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals
inferredcites →https://doi.org/10.1016/j.psychres.2011.06.020openalex-snapshot
Automatic detection of seizure termination during electroconvulsive therapy using sample entropy of the electroencephalogram
inferredcites →https://doi.org/10.1016/s0013-4694(97)00003-9openalex-snapshot
Automatic seizure detection in the newborn: methods and initial evaluation
inferredcites →https://doi.org/10.1016/s1474-4422(02)00003-0openalex-snapshot
Prediction of epileptic seizures
inferredcites →https://doi.org/10.1109/51.956815openalex-snapshot
Digital processing of EEG signals
inferredcites →https://doi.org/10.1109/72.991427openalex-snapshot
A comparison of methods for multiclass support vector machines
inferredcites →https://doi.org/10.1109/assp.1989.28057openalex-snapshot
Improved time-frequency representation of multicomponent signals using exponential kernels
inferredcites →https://doi.org/10.1109/bibm.2016.7822562openalex-snapshot
A three-stage decision framework for multi-subject emotion recognition using physiological signals
inferredcites →https://doi.org/10.1109/cisp-bmei.2016.7852954openalex-snapshot
Feature extraction using combination of intrinsic mode functions and power spectrum for EEG signal classification
inferredcites →https://doi.org/10.1109/gcis.2010.278openalex-snapshot
Diagnosis of Breast Tumor Using SVM-KNN Classifier
inferredcites →https://doi.org/10.1109/icassp.2019.8683229openalex-snapshot
Seizure Detection Using Least Eeg Channels by Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/icdsp.2017.8096036openalex-snapshot
Classification of seizure and non-seizure EEG signals based on EMD-TQWT method
inferredcites →https://doi.org/10.1109/icsess.2014.6933697openalex-snapshot
Research on text classification based on SVM-KNN
inferredcites →https://doi.org/10.1109/icspc.2007.4728632openalex-snapshot
Neonatal Seizure Detection and Localization using Time-Frequency Analysis of Multichannel EEG
inferredcites →https://doi.org/10.1109/iembs.1997.756576openalex-snapshot
Detection of epileptiform activity using wavelet and neural network
inferredcites →https://doi.org/10.1109/iementech.2017.8076992openalex-snapshot
Classification of EEG Signals for Prediction of Seizure using Multi-Feature Extraction
inferredcites →https://doi.org/10.1109/indcon.2011.6139341openalex-snapshot
Detection of epileptic seizures using chaotic and statistical features in the EMD domain
inferredcites →https://doi.org/10.1109/isco.2015.7282340openalex-snapshot
Classification of emotion from EEG using hybrid radial basis function networks with elitist PSO
inferredcites →https://doi.org/10.1109/jbhi.2012.2237409openalex-snapshot
Detection of Seizure and Epilepsy Using Higher Order Statistics in the EMD Domain
inferredcites →https://doi.org/10.1109/lsp.2007.904710openalex-snapshot
Bivariate Empirical Mode Decomposition
inferredcites →https://doi.org/10.1109/spaces.2018.8316340openalex-snapshot
Correction of blink artifacts from single channel EEG by EMD-IMF thresholding
inferredcites →https://doi.org/10.1109/tbme.2007.905490openalex-snapshot
Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection
inferredcites →https://doi.org/10.1109/tevc.2010.2053935openalex-snapshot
Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tnsre.2016.2552539openalex-snapshot
EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity
inferredcites →https://doi.org/10.1111/j.1528-1157.1982.tb05052.xopenalex-snapshot
Prediction of Spike‐Wave Bursts in Absence Epilepsy by EEG Power‐Spectrum Signals
inferredcites →https://doi.org/10.1111/j.1528-1157.1998.tb01430.xopenalex-snapshot
Real‐Time Automated Detection and Quantitative Analysis of Seizures and Short‐Term Prediction of Clinical Onset
inferredcites →https://doi.org/10.1177/107385849600200213openalex-snapshot
■ REVIEW : Chaos Theory and Epilepsy
inferredcites →https://doi.org/10.2174/157340561001140424143814openalex-snapshot
Optimized Feature Selection for Enhanced Epileptic Seizure Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Integrated SVM Based on Adaptive Inertia Weight Particle Swarm Optimization Method for Si3N4 Bearing Roller Surface Defect Classification
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Five-class motor imagery BCI classification and its application to brain-controlled wheelchairs
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100855openalex-snapshot
Wavelet-Based EEG classification of neural responses to applied pressure physiotherapy
inferred← citeshttps://doi.org/10.1016/j.seizure.2025.01.021openalex-snapshot
Utilizing machine learning techniques for EEG assessment in the diagnosis of epileptic seizures in the brain: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1038/s41377-024-01734-5openalex-snapshot
Optical sorting: past, present and future
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A Model for Epileptic Seizure Diagnosis Using the Combination of Ensemble Learning and Deep Learning
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Predictive Modeling in Employee Satisfaction: An Approach with RA-SSA-SVM-Based Machine Learning Optimization
inferred← citeshttps://doi.org/10.1109/icoct64433.2025.11118491openalex-snapshot
Improved Deep Learning Model for Epileptic Seizure Detection Using CNN-BiLSTM
inferred← citeshttps://doi.org/10.1109/icspis57063.2022.10002385openalex-snapshot
A Study on Seizure Detection Performance in an Automated Process by Extracting Entropy Features
inferred← citeshttps://doi.org/10.1111/exsy.13374openalex-snapshot
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
inferred← citeshttps://doi.org/10.1145/3674658.3674694openalex-snapshot
Prediction of Epileptic Seizures Based on a Neural Mass Model and Brain Network Analysis
inferred← citeshttps://doi.org/10.12677/hjcb.2026.161002openalex-snapshot
Epileptic EEG Detection Method Based on PAMFC-InfoNet Network
inferred← citeshttps://doi.org/10.3390/bios13100930openalex-snapshot
Application and Development of EEG Acquisition and Feedback Technology: A Review
inferred← citeshttps://doi.org/10.3390/sym16060720openalex-snapshot
A Fault Diagnosis Method for Analog Circuits Based on Improved TQWT and Inception Model
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