Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.
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Adaptive filtering and random variables coefficient for analyzing functional magnetic resonance imaging data.A Novel Approach Based on Data Redundancy for Feature Extraction of EEG Signals.A wavelet-based technique to predict treatment outcome for Major Depressive DisorderSingle Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence.Epileptic EEG classification based on kernel sparse representation.Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation.Analysis of the Complexity Measures in the EEG of Schizophrenia Patients.Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis.Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array.Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination.Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG.Design of assistive wheelchair system directly steered by human thoughts.Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification.Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface.Phase synchronization of neuronal noise in mouse hippocampal epileptiform dynamics.An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals.Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier.Event-related complexity analysis and its application in the detection of facial attractiveness.Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals.Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients.Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum.Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis.Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.Using Fractal and Local Binary Pattern Features for Classification of ECOG Motor Imagery Tasks Obtained from the Right Brain Hemisphere.A Wavelet-Statistical Features Approach for Nonconvulsive Seizure Detection.Comparison of ictal and interictal EEG signals using fractal features.Kernel collaborative representation-based automatic seizure detection in intracranial EEG.Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy.A binary phase-shift keying receiver for the detection of attention to human speech.Efficient automatic selection and combination of EEG features in least squares classifiers for motor imagery brain-computer interfaces.Detection of epileptic seizure based on entropy analysis of short-term EEG.AUTOMATED DIAGNOSIS OF DIABETES USING ENTROPIES AND DIABETIC INDEX
P2860
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P2860
Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Application of non-linear and ...... tion of epileptic EEG signals.
@en
Application of non-linear and ...... tion of epileptic EEG signals.
@nl
type
label
Application of non-linear and ...... tion of epileptic EEG signals.
@en
Application of non-linear and ...... tion of epileptic EEG signals.
@nl
prefLabel
Application of non-linear and ...... tion of epileptic EEG signals.
@en
Application of non-linear and ...... tion of epileptic EEG signals.
@nl
P2093
P2860
P1476
Application of non-linear and ...... ation of epileptic EEG signals
@en
P2093
Ang Peng Chuan Alvin
Jasjit S Suri
Ratna Yanti
S Vinitha Sree
P2860
P304
P356
10.1142/S0129065712500025
P577
2012-04-01T00:00:00Z