A multi-feature and multi-channel univariate selection process for seizure prediction.
about
Display of consistent ictal networks in refractory mesial temporal lobe epilepsyInferring spatiotemporal network patterns from intracranial EEG data.Identification of preseizure States in epilepsy: a data-driven approach for multichannel EEG recordings.Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients.Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement.Scale invariance properties of intracerebral EEG improve seizure prediction in mesial temporal lobe epilepsy.Seizure prediction and its applicationsSeizure prediction in patients with mesial temporal lobe epilepsy using EEG measures of state similarityDiscriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.Technology insight: neuroengineering and epilepsy-designing devices for seizure controlRole of multiple-scale modeling of epilepsy in seizure forecasting.Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings.A Brief Survey of Computational Models of Normal and Epileptic EEG Signals: A Guideline to Model-based Seizure Prediction.Modeling the Complex Dynamics and Changing Correlations of Epileptic Events.Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.Epilepsy and nonlinear dynamics.State-dependent precursors of seizures in correlation-based functional networks of electrocorticograms of patients with temporal lobe epilepsy.Seizure prediction in patients with focal hippocampal epilepsy.Adapted filter banks for feature extraction in transcranial magnetic stimulation evoked responses.Synchronization measurement of multiple neuronal populations.
P2860
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P2860
A multi-feature and multi-channel univariate selection process for seizure prediction.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
A multi-feature and multi-channel univariate selection process for seizure prediction.
@ast
A multi-feature and multi-channel univariate selection process for seizure prediction.
@en
type
label
A multi-feature and multi-channel univariate selection process for seizure prediction.
@ast
A multi-feature and multi-channel univariate selection process for seizure prediction.
@en
prefLabel
A multi-feature and multi-channel univariate selection process for seizure prediction.
@ast
A multi-feature and multi-channel univariate selection process for seizure prediction.
@en
P2093
P1476
A multi-feature and multi-channel univariate selection process for seizure prediction.
@en
P2093
George Vachtsevanos
Greg Worrell
Javier Echauz
Landi Parish
Maryann D'Alessandro
Rosana Esteller
Stephen Cranstoun
P304
P356
10.1016/J.CLINPH.2004.11.014
P50
P577
2005-01-24T00:00:00Z