Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.
about
Robust neonatal EEG seizure detection through adaptive background modeling.Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data.Adaptive filtering and random variables coefficient for analyzing functional magnetic resonance imaging data.Automated seizure detection using EKG.Bayesian networks in neuroscience: a survey.Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings.Correlated EEG Signals Simulation Based on Artificial Neural Networks.Epileptic EEG classification based on kernel sparse representation.Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.Evaluation of autonomic nervous system in sleep apnea patients using pupillometry under occlusal stress: a pilot study.Risk factors for seizure reoccurrence after withdrawal from antiepileptic drugs in individuals who have been seizure-free for over 2 years.Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array.Analysis of absence seizure generation using EEG spatial-temporal regularity measures.Double-layered models can explain macro and micro structure of human sleep.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.Artificial neural network based approach to EEG signal simulation.Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG.Low-rank approximation based non-negative multi-way array decomposition on event-related potentials.Neurophysiological Analysis of the Genesis Mechanism of EEG During the Interictal and Ictal Periods Using a Multiple Neural Masses Model.Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG.Assessment of feature selection and classification approaches to enhance information from overnight oximetry in the context of apnea diagnosis.Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals.Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis.Comparison of ictal and interictal EEG signals using fractal features.Automated diagnosis of normal and alcoholic EEG signals.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.Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction.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.Automated diagnosis of epilepsy using CWT, HOS and texture parameters.A new parametric feature descriptor for the classification of epileptic and control EEG records in pediatric population.Automatic detection of epileptic EEG signals using higher order cumulant features.Detection of epileptic seizure based on entropy analysis of short-term EEG.Automated Diagnosis of Coronary Artery Disease: A Review and Workflow.Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder - a systematic methodological exploration of technical and demographic confounders in the search for biomarkers.EPILEPTIC EEG CLASSIFICATION USING NONLINEAR PARAMETERS ON DIFFERENT FREQUENCY BANDSPatient-specific seizure prediction based on heart rate variability and recurrence quantification analysis
P2860
Q30441630-28D5B02D-C25B-40AA-A7FA-078B2C7AD4B8Q30615343-D052F20F-8912-4549-A3B1-E2448A989006Q30620468-61FE870E-8F5E-4E00-BC1B-B6ADE83F048FQ38183103-4C8DEAA7-80BC-4D60-B910-494613D382EFQ38264117-D0C0B416-AF00-466B-8ABE-DF56FF6B5CCAQ38811040-ED6BA71B-D520-413A-AE73-CD3024D9575FQ39165330-D691AA41-7249-4A75-92AA-6596C490A623Q39217409-95EEDECA-59D9-4D2E-AD75-0E8BBB2CF853Q39428203-7CF13DA1-BBB7-4273-A133-CEF372CADB13Q40192374-280190A0-7023-42AA-B1A1-F2BC38BAF14FQ41200402-6AB47350-DB7C-4252-A202-90CF559F38DDQ43976113-836C0F6F-1900-412A-B8D2-5AC64AD499B4Q44484757-712D3B75-2C1A-4284-9E46-DB9B3DB5A2D7Q45364648-0407A532-75DF-4B6A-B711-BC4526B40D68Q45399775-8CEFC5A6-43BC-4F07-B6FD-01F9C1DEBF3EQ45844843-394DC608-3B96-493E-BADF-AAC29F994485Q46523763-BCDEBDFD-271D-40FD-8D4F-4D483B2C9789Q47386696-0A719825-2733-4A4A-B574-EC4C26B7FF44Q47629424-71996B9F-4E06-4EF7-93A0-3DFE5792E6B2Q47823276-3DBDC9BD-33CC-4A6F-875E-1C9B6137FDD3Q47996031-07844024-E8CC-4C65-81D4-48AA9282EFD3Q48030650-63210C18-CCF9-4D66-A44C-A4F4C3BEB422Q48161777-F480C41E-256B-424D-998B-64BE789A8C37Q48277529-D17F4AF3-7707-471C-968C-FBE7BEE0FEC1Q48580193-9B618022-CDFE-4325-A456-5A74875D304AQ48913489-281105D9-1E78-4DDB-AEE8-DAE24AF3BE8DQ50711974-C729168C-1FB1-49B0-9691-4CC0DE04D438Q50963034-7BB9BE34-A1BB-4603-9319-0869B35F1F8BQ51034741-51C39319-C8C9-425D-97D6-F5CE51F0A0B1Q51175929-F6DED519-B542-4990-AAF8-8B83997D1CB6Q51204808-122CA3BC-07B9-4447-AAE4-522F8BE1A03CQ51204814-1E97FA12-9697-4E86-9776-05824CF155F6Q51224663-FA1D5E83-8CE3-4E6E-AF28-EEFDC922D402Q51224707-79BFB715-4FF3-4A56-A17F-38030370B35DQ51527720-FBBF6241-E37F-4522-A851-4AA0B67C25CEQ52354379-14433111-C774-4E2B-9E38-16CAFF3F0B72Q54940087-105B7DE7-1E35-4300-93D3-812C18732017Q55516959-D5959235-E2E7-44AE-9770-5E7180991F6AQ56775701-D4EDA6EF-6396-4CFB-84ED-07C9BA6AA061Q58699253-59615D28-6B96-42AD-BC98-23254B6BDDC0
P2860
Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh
2011年學術文章
@zh-hant
name
Application of recurrence quan ...... tion of epileptic EEG signals.
@en
Application of recurrence quan ...... tion of epileptic EEG signals.
@nl
type
label
Application of recurrence quan ...... tion of epileptic EEG signals.
@en
Application of recurrence quan ...... tion of epileptic EEG signals.
@nl
prefLabel
Application of recurrence quan ...... tion of epileptic EEG signals.
@en
Application of recurrence quan ...... tion of epileptic EEG signals.
@nl
P2093
P2860
P1476
Application of recurrence quan ...... tion of epileptic EEG signals.
@en
P2093
Peng Chuan Alvin Ang
S Vinitha Sree
Subhagata Chattopadhyay
P2860
P304
P356
10.1142/S0129065711002808
P577
2011-06-01T00:00:00Z