Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction.
about
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.Epileptic EEG classification based on kernel sparse representation.Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG.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.Event-related complexity analysis and its application in the detection of facial attractiveness.Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification.Early Seizure Detection Using Neuronal Potential Similarity: A Generalized Low-Complexity and Robust Measure.Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients.Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis.Sparse representation-based EMD and BLDA for automatic seizure detection.Kernel collaborative representation-based automatic seizure detection in intracranial EEG.Detection of epileptic seizure based on entropy analysis of short-term EEG.Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.An Automated Approach for Epilepsy Detection Based on Tunable -Wavelet and Firefly Feature Selection AlgorithmTime series forecasting for nonlinear and non-stationary processes: a review and comparative study
P2860
Q31041733-344DE08F-3A9E-43DB-B041-A40AF5635D84Q35389608-01B77962-3A75-4A62-BCE8-1AFD3008F569Q39217409-EE8C9592-A3CB-4ABC-ACAB-0C6DE56BE3D9Q45199600-6D1CAE9D-3668-4272-B793-025AB070FA8BQ47386696-9BDE2DE6-EBEB-456D-B6D9-02AF739CBB31Q47629424-14C5AE08-E689-44AC-A348-AB0A9BBA827CQ47823276-0F379C2A-A941-42DD-9801-5628E6FBB88BQ47996031-69E3F540-0804-4477-8635-8B35FDFC89F2Q48068660-FF931EEB-8EE2-4E61-8075-343B67134CA4Q48155063-142EEBD2-6D80-471B-8DF0-B5BAAB9A0E4BQ48166025-8E1B9917-4C0A-400C-A672-5384E737904BQ48304669-591BEA0A-05B0-4FF2-BE57-3BD490568251Q48580193-55EA2830-40E0-4873-B01E-6D233F361EB3Q50565787-94133A12-C631-4EF9-AEC4-0CE2EC0CAA65Q50963034-971851CC-08B2-495A-8D50-523D8FF7D86AQ52354379-40B3F2EA-6E7E-4544-AB59-306EAEF43B63Q54965705-4CF4325D-C9FF-46A7-8F3E-4F867FDC97B5Q57114441-1A9E8083-DEAD-4BA6-A26F-15656D71619BQ57534278-E7064386-1450-4B5E-9451-604DA7E4543C
P2860
Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh-hant
name
Application of intrinsic time- ...... automated seizure prediction.
@en
Application of intrinsic time-scale decomposition
@nl
type
label
Application of intrinsic time- ...... automated seizure prediction.
@en
Application of intrinsic time-scale decomposition
@nl
prefLabel
Application of intrinsic time- ...... automated seizure prediction.
@en
Application of intrinsic time-scale decomposition
@nl
P2093
P2860
P1476
Application of intrinsic time- ...... automated seizure prediction.
@en
P2093
Andrea Petznick
Chua Kuang Chua
Eddie Yin Kwee Ng
Jen Hong Tan
Roshan Joy Martis
P2860
P304
P356
10.1142/S0129065713500238
P577
2013-07-21T00:00:00Z