Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.
about
Data smashing: uncovering lurking order in data.Facilitating joint chaos and fractal analysis of biosignals through nonlinear adaptive filteringAnalysis of physiological signals using state space correlation entropy.Dynamic response signatures of a scaled model platform for floating wind turbines in an ocean wave basin.Highly comparative time-series analysis: the empirical structure of time series and their methods.Electroencephalographic Data Analysis With Visibility Graph Technique for Quantitative Assessment of Brain Dysfunction.Estimation of effective connectivity via data-driven neural modeling.A Novel Approach Based on Data Redundancy for Feature Extraction of EEG Signals.Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry.A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis.Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data.An Automatic Prediction of Epileptic Seizures Using Cloud Computing and Wireless Sensor Networks.Canonical bicoherence analysis of dynamic EEG data.Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification.PyEEG: an open source Python module for EEG/MEG feature extraction.Parametric construction of episode networks from pseudoperiodic time series based on mutual informationSeizure prediction: methodsTime-frequency characterization of electrocorticographic recordings of epileptic patients using frequency-entropy similarity: a comparison to other bi-variate measuresApplication of approximate entropy on dynamic characteristics of epileptic absence seizureEEG-based investigation of brain connectivity changes in psychotic patients undergoing the primitive expression form of dance therapy: a methodological pilot study.Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.Exploring sampling in the detection of multicategory EEG signals.Micro/nanostructured surface modification using femtosecond laser pulses on minimally invasive electrosurgical devices.A high-performance seizure detection algorithm based on Discrete Wavelet Transform (DWT) and EEG.Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal ProcessingA Dimensionality Reduction Technique for Efficient Time Series Similarity Analysis.Automatic seizure detection in rats using Laplacian EEG and verification with human seizure signals.Classification of 5-S Epileptic EEG Recordings Using Distribution Entropy and Sample Entropy.Coercively adjusted auto regression model for forecasting in epilepsy EEGAn investigation of EEG dynamics in an animal model of temporal lobe epilepsy using the maximum Lyapunov exponentNonlinear features of surface EEG showing systematic brain signal adaptations with muscle force and fatigueMultiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series.Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortex.Detection of epileptic seizure event and onset using EEGCopulas and time series with long-ranged dependencies.Spatiotemporal changes in regularity of gamma oscillations contribute to focal ictogenesis.Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data.Dynamic complexity measures and entropy paths for modelling and comparison of evolution of patients with drug resistant epileptic encephalopathy syndromes (DREES).Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states.Coupling strength versus coupling impact in nonidentical bidirectionally coupled dynamics.
P2860
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P2860
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
2001年论文
@zh
2001年论文
@zh-cn
name
Indications of nonlinear deter ...... ording region and brain state.
@en
Indications of nonlinear deter ...... ording region and brain state.
@nl
type
label
Indications of nonlinear deter ...... ording region and brain state.
@en
Indications of nonlinear deter ...... ording region and brain state.
@nl
prefLabel
Indications of nonlinear deter ...... ording region and brain state.
@en
Indications of nonlinear deter ...... ording region and brain state.
@nl
P2093
P1433
P1476
Indications of nonlinear deter ...... ording region and brain state.
@en
P2093
P304
P356
10.1103/PHYSREVE.64.061907
P407
P433
P577
2001-11-20T00:00:00Z