262 related articles for article (PubMed ID: 25062892)
1. A low computation cost method for seizure prediction.
Zhang Y; Zhou W; Yuan Q; Wu Q
Epilepsy Res; 2014 Oct; 108(8):1357-66. PubMed ID: 25062892
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG.
Yuan S; Zhou W; Chen L
Int J Neural Syst; 2018 Feb; 28(1):1750043. PubMed ID: 28950741
[TBL] [Abstract][Full Text] [Related]
4. Seizure prediction using EEG spatiotemporal correlation structure.
Williamson JR; Bliss DW; Browne DW; Narayanan JT
Epilepsy Behav; 2012 Oct; 25(2):230-8. PubMed ID: 23041171
[TBL] [Abstract][Full Text] [Related]
5. Roughness-Length-Based Characteristic Analysis of Intracranial EEG and Epileptic Seizure Prediction.
Zhang Y; Yang R; Zhou W
Int J Neural Syst; 2020 Dec; 30(12):2050072. PubMed ID: 33200622
[TBL] [Abstract][Full Text] [Related]
6. Seizure prediction using spike rate of intracranial EEG.
Li S; Zhou W; Yuan Q; Liu Y
IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):880-6. PubMed ID: 24122570
[TBL] [Abstract][Full Text] [Related]
7. Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power.
Zhang Z; Parhi KK
IEEE Trans Biomed Circuits Syst; 2016 Jun; 10(3):693-706. PubMed ID: 26529783
[TBL] [Abstract][Full Text] [Related]
8. Automatic seizure detection using diffusion distance and BLDA in intracranial EEG.
Yuan S; Zhou W; Yuan Q; Zhang Y; Meng Q
Epilepsy Behav; 2014 Feb; 31():339-45. PubMed ID: 24269028
[TBL] [Abstract][Full Text] [Related]
9. Real-time epileptic seizure prediction using AR models and support vector machines.
Chisci L; Mavino A; Perferi G; Sciandrone M; Anile C; Colicchio G; Fuggetta F
IEEE Trans Biomed Eng; 2010 May; 57(5):1124-32. PubMed ID: 20172805
[TBL] [Abstract][Full Text] [Related]
10. An efficient seizure prediction method using KNN-based undersampling and linear frequency measures.
Ghaderyan P; Abbasi A; Sedaaghi MH
J Neurosci Methods; 2014 Jul; 232():134-42. PubMed ID: 24875624
[TBL] [Abstract][Full Text] [Related]
11. Real-time seizure prediction using RLS filtering and interpolated histogram feature based on hybrid optimization algorithm of Bayesian classifier and Hunting search.
Behnam M; Pourghassem H
Comput Methods Programs Biomed; 2016 Aug; 132():115-36. PubMed ID: 27282233
[TBL] [Abstract][Full Text] [Related]
12. Seizure Prediction Using Undulated Global and Local Features.
Parvez MZ; Paul M
IEEE Trans Biomed Eng; 2017 Jan; 64(1):208-217. PubMed ID: 27093309
[TBL] [Abstract][Full Text] [Related]
13. Long-term prospective on-line real-time seizure prediction.
Iasemidis LD; Shiau DS; Pardalos PM; Chaovalitwongse W; Narayanan K; Prasad A; Tsakalis K; Carney PR; Sackellares JC
Clin Neurophysiol; 2005 Mar; 116(3):532-44. PubMed ID: 15721067
[TBL] [Abstract][Full Text] [Related]
14. Low complexity algorithm for seizure prediction using Adaboost.
Ayinala M; Parhi KK
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1061-4. PubMed ID: 23366078
[TBL] [Abstract][Full Text] [Related]
15. Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns.
Meier R; Dittrich H; Schulze-Bonhage A; Aertsen A
J Clin Neurophysiol; 2008 Jun; 25(3):119-31. PubMed ID: 18469727
[TBL] [Abstract][Full Text] [Related]
16. Adaptive epileptic seizure prediction system.
Iasemidis LD; Shiau DS; Chaovalitwongse W; Sackellares JC; Pardalos PM; Principe JC; Carney PR; Prasad A; Veeramani B; Tsakalis K
IEEE Trans Biomed Eng; 2003 May; 50(5):616-27. PubMed ID: 12769437
[TBL] [Abstract][Full Text] [Related]
17. The role of high-quality EEG databases in the improvement and assessment of seizure prediction methods.
Schulze-Bonhage A; Feldwisch-Drentrup H; Ihle M
Epilepsy Behav; 2011 Dec; 22 Suppl 1():S88-93. PubMed ID: 22078525
[TBL] [Abstract][Full Text] [Related]
18. Patient specific seizure prediction system using Hilbert spectrum and Bayesian networks classifiers.
Ozdemir N; Yildirim E
Comput Math Methods Med; 2014; 2014():572082. PubMed ID: 25246941
[TBL] [Abstract][Full Text] [Related]
19. Focal Onset Seizure Prediction Using Convolutional Networks.
Khan H; Marcuse L; Fields M; Swann K; Yener B
IEEE Trans Biomed Eng; 2018 Sep; 65(9):2109-2118. PubMed ID: 29989952
[TBL] [Abstract][Full Text] [Related]
20. Performance of a seizure warning algorithm based on the dynamics of intracranial EEG.
Chaovalitwongse W; Iasemidis LD; Pardalos PM; Carney PR; Shiau DS; Sackellares JC
Epilepsy Res; 2005 May; 64(3):93-113. PubMed ID: 15961284
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]