293 related articles for article (PubMed ID: 30508680)
1. Prediction error connectivity: A new method for EEG state analysis.
Principe A; Ley M; Conesa G; Rocamora R
Neuroimage; 2019 Mar; 188():261-273. PubMed ID: 30508680
[TBL] [Abstract][Full Text] [Related]
2. Predicting epileptic seizures from scalp EEG based on attractor state analysis.
Chu H; Chung CK; Jeong W; Cho KH
Comput Methods Programs Biomed; 2017 May; 143():75-87. PubMed ID: 28391821
[TBL] [Abstract][Full Text] [Related]
3. Seizure forecasting using single robust linear feature as correlation vector of seizure-like events in brain slices preparation in vitro.
Abbas MK; Raza ML; Zaidi SSH; Khan BM; Heinemann U
Neurol Res; 2019 Feb; 41(2):99-109. PubMed ID: 30332347
[TBL] [Abstract][Full Text] [Related]
4. Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.
Lin LC; Chen SC; Chiang CT; Wu HC; Yang RC; Ouyang CS
Clin EEG Neurosci; 2017 Mar; 48(2):139-145. PubMed ID: 27177554
[TBL] [Abstract][Full Text] [Related]
5. Epileptic seizure prediction using spectral width of the covariance matrix.
EPMoghaddam D; Sheth SA; Haneef Z; Gavvala J; Aazhang B
J Neural Eng; 2022 Apr; 19(2):. PubMed ID: 35320787
[No Abstract] [Full Text] [Related]
6. Preictal state identification by synchronization changes in long-term intracranial EEG recordings.
Le Van Quyen M; Soss J; Navarro V; Robertson R; Chavez M; Baulac M; Martinerie J
Clin Neurophysiol; 2005 Mar; 116(3):559-68. PubMed ID: 15721070
[TBL] [Abstract][Full Text] [Related]
7. An efficient detection of epileptic seizure by differentiation and spectral analysis of electroencephalograms.
Kang JH; Chung YG; Kim SP
Comput Biol Med; 2015 Nov; 66():352-6. PubMed ID: 25982199
[TBL] [Abstract][Full Text] [Related]
8. Seizure prediction with spectral power of EEG using cost-sensitive support vector machines.
Park Y; Luo L; Parhi KK; Netoff T
Epilepsia; 2011 Oct; 52(10):1761-70. PubMed ID: 21692794
[TBL] [Abstract][Full Text] [Related]
9. EEG Spectral Coherence Analysis in Nocturnal Epilepsy.
Busonera G; Cogoni M; Puligheddu M; Ferri R; Milioli G; Parrino L; Marrosu F; Zanetti G
IEEE Trans Biomed Eng; 2018 Dec; 65(12):2713-2719. PubMed ID: 29993423
[TBL] [Abstract][Full Text] [Related]
10. Do false predictions of seizures depend on the state of vigilance? A report from two seizure-prediction methods and proposed remedies.
Schelter B; Winterhalder M; Maiwald T; Brandt A; Schad A; Timmer J; Schulze-Bonhage A
Epilepsia; 2006 Dec; 47(12):2058-70. PubMed ID: 17201704
[TBL] [Abstract][Full Text] [Related]
11. Establishing functional brain networks using a nonlinear partial directed coherence method to predict epileptic seizures.
Zhang Q; Hu Y; Potter T; Li R; Quach M; Zhang Y
J Neurosci Methods; 2020 Jan; 329():108447. PubMed ID: 31614163
[TBL] [Abstract][Full Text] [Related]
12. Predicting state transitions in brain dynamics through spectral difference of phase-space graphs.
Luckett P; Pavelescu E; McDonald T; Hively L; Ochoa J
J Comput Neurosci; 2019 Feb; 46(1):91-106. PubMed ID: 30315514
[TBL] [Abstract][Full Text] [Related]
13. A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram.
Bagheri E; Jin J; Dauwels J; Cash S; Westover MB
J Neurosci Methods; 2019 Oct; 326():108362. PubMed ID: 31310822
[TBL] [Abstract][Full Text] [Related]
14. Epileptic Seizure Detection Based on Partial Directed Coherence Analysis.
Wang G; Sun Z; Tao R; Li K; Bao G; Yan X
IEEE J Biomed Health Inform; 2016 May; 20(3):873-879. PubMed ID: 25898286
[TBL] [Abstract][Full Text] [Related]
15. Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.
Usman SM; Khalid S; Akhtar R; Bortolotto Z; Bashir Z; Qiu H
Seizure; 2019 Oct; 71():258-269. PubMed ID: 31479850
[TBL] [Abstract][Full Text] [Related]
16. Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.
Gadhoumi K; Lina JM; Gotman J
Clin Neurophysiol; 2012 Oct; 123(10):1906-16. PubMed ID: 22480601
[TBL] [Abstract][Full Text] [Related]
17. Automated Diagnosis of Epilepsy Using Key-Point-Based Local Binary Pattern of EEG Signals.
Tiwari AK; Pachori RB; Kanhangad V; Panigrahi BK
IEEE J Biomed Health Inform; 2017 Jul; 21(4):888-896. PubMed ID: 27416609
[TBL] [Abstract][Full Text] [Related]
18. A multistage knowledge-based system for EEG seizure detection in newborn infants.
Aarabi A; Grebe R; Wallois F
Clin Neurophysiol; 2007 Dec; 118(12):2781-97. PubMed ID: 17905654
[TBL] [Abstract][Full Text] [Related]
19. Epileptic seizure detection in EEGs signals based on the weighted visibility graph entropy.
Mohammadpoory Z; Nasrolahzadeh M; Haddadnia J
Seizure; 2017 Aug; 50():202-208. PubMed ID: 28732281
[TBL] [Abstract][Full Text] [Related]
20. Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals.
Alotaiby TN; Alshebeili SA; Alotaibi FM; Alrshoud SR
Comput Intell Neurosci; 2017; 2017():1240323. PubMed ID: 29225615
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]