Fractality and a wavelet-chaos-neural network methodology for EEG-based diagnosis of autistic spectrum disorder.
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Spotting psychopaths using technology.Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.Comparative Study of Wavelet-Based Unsupervised Ocular Artifact Removal Techniques for Single-Channel EEG Data.Down syndrome's brain dynamics: analysis of fractality in resting stateOn the application of quantitative EEG for characterizing autistic brain: a systematic reviewFractals in the neurosciences, Part II: clinical applications and future perspectives.Nonlinear Recurrent Dynamics and Long-Term Nonstationarities in EEG Alpha Cortical Activity: Implications for Choosing Adequate Segment Length in Nonlinear EEG Analyses.How Useful Is Electroencephalography in the Diagnosis of Autism Spectrum Disorders and the Delineation of Subtypes: A Systematic Review.Correlated EEG Signals Simulation Based on Artificial Neural Networks.A clustering-based fuzzy wavelet neural network model for short-term load forecasting.Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.Emotion Recognition with Eigen Features of Frequency Band Activities Embedded in Induced Brain Oscillations Mediated by Affective Pictures.Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation.Analysis of the Complexity Measures in the EEG of Schizophrenia Patients.Detection of driving fatigue by using noncontact EMG and ECG signals measurement system.Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements.Wavelet methodology to improve single unit isolation in primary motor cortex cellsReduced predictable information in brain signals in autism spectrum disorder.EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.Finite dimensional structure of the GPI discharge in patients with Parkinson's disease.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Continuous EEG signal analysis for asynchronous BCI application.Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination.Design of assistive wheelchair system directly steered by human thoughts.Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface.Neural Oscillation Correlates Chemistry Decision-Making.Artificial neural network based approach to EEG signal simulation.Biologically inspired face recognition: toward pose-invariance.The Complexity of H-wave Amplitude Fluctuations and Their Bilateral Cross-Covariance Are Modified According to the Previous Fitness History of Young Subjects under Track Training.Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.Online EEG Classification of Covert Speech for Brain-Computer Interfacing.Evaluation and application of a hybrid brain computer interface for real wheelchair parallel control with multi-degree of freedom.Neurophysiological Analysis of the Genesis Mechanism of EEG During the Interictal and Ictal Periods Using a Multiple Neural Masses Model.Event-related complexity analysis and its application in the detection of facial attractiveness.Memory load effect in auditory-verbal short-term memory task: EEG fractal and spectral analysis.Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals.Real-time EEG-based detection of fatigue driving danger for accident prediction.
P2860
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P2860
Fractality and a wavelet-chaos-neural network methodology for EEG-based diagnosis of autistic spectrum disorder.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@en
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@nl
type
label
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@en
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@nl
prefLabel
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@en
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@nl
P2093
P1476
Fractality and a wavelet-chaos ...... of autistic spectrum disorder.
@en
P2093
Amir Adeli
Hojjat Adeli
Mehran Ahmadlou
P304
P356
10.1097/WNP.0B013E3181F40DC8
P577
2010-10-01T00:00:00Z