Despiking SEEG signals reveals dynamics of gamma band preictal activity-Reference-Cited by-同舟云学术

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Despiking SEEG signals reveals dynamics of gamma band preictal activity

Published:2017-01-18 Issue:2 Volume:38 Page:N42-N56
ISSN:0967-3334
Container-title:Physiological Measurement
language:
Short-container-title:Physiol. Meas.

Author:

Jmail Nawel,Gavaret Martine,Bartolomei F,Bénar Christian-G

Funder

Agence Nationale de la Recherche

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Link

http://stacks.iop.org/0967-3334/38/i=2/a=N42/pdf

Reference39 articles.

1. High Frequency Oscillations and spikes: Separating real HFOs from false oscillations

2. Automatic seizure detection in SEEG using high frequency activities in wavelet domain

3. Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG

4. Pitfalls of high-pass filtering for detecting epileptic oscillations: A technical note on “false” ripples

5. Consensus Matching Pursuit for multi-trial EEG signals

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1. Epileptic MEG Networks Connectivity Obtained by MNE, sLORETA, cMEM and dsPM;Hybrid Intelligent Systems;2023

2. Evaluation of Techniques for Predicting a Build Up of a Seizure;Intelligent Systems Design and Applications;2022

3. Transitional pattern as a potential marker of epileptogenic zone in focal epilepsy - Clinical observations from intracerebral recordings;Epilepsy Research;2021-08

4. Epileptic high-frequency oscillations: detection and classification;Multidimensional Systems and Signal Processing;2019-12-14

5. Using centrality measures to extract core pattern of brain dynamics during the resting state;Computer Methods and Programs in Biomedicine;2019-10

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