382 related articles for article (PubMed ID: 22616159)
21. [The sample entropy and its application in EEG based epilepsy detection].
Bai D; Qiu T; Li X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Feb; 24(1):200-5. PubMed ID: 17333922
[TBL] [Abstract][Full Text] [Related]
22. Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine.
Song Y; Crowcroft J; Zhang J
J Neurosci Methods; 2012 Sep; 210(2):132-46. PubMed ID: 22824535
[TBL] [Abstract][Full Text] [Related]
23. [The recognition methodology study of epileptic EEGs based on support vector machine].
Huang R; Du S; Chen Z; Zhangzhen ; Zhouyi
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Oct; 30(5):919-24. PubMed ID: 24459944
[TBL] [Abstract][Full Text] [Related]
24. [Feature extraction and classification of EEG for mental tasks based on wavelet packet analysis].
Xue J; He W; Yan X; Zheng C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2004 Jun; 21(3):397-400. PubMed ID: 15250142
[TBL] [Abstract][Full Text] [Related]
25. EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method.
Ghaffari A; Ebrahimi Orimi H
J Med Eng Technol; 2014 Apr; 38(3):146-55. PubMed ID: 24579561
[TBL] [Abstract][Full Text] [Related]
26. A neural-network-based detection of epilepsy.
Nigam VP; Graupe D
Neurol Res; 2004 Jan; 26(1):55-60. PubMed ID: 14977058
[TBL] [Abstract][Full Text] [Related]
27. EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features.
Hsu WY
J Neurosci Methods; 2010 Jun; 189(2):295-302. PubMed ID: 20381529
[TBL] [Abstract][Full Text] [Related]
28. Epileptic EEG detection using neural networks and post-classification.
Patnaik LM; Manyam OK
Comput Methods Programs Biomed; 2008 Aug; 91(2):100-9. PubMed ID: 18406490
[TBL] [Abstract][Full Text] [Related]
29. [An EMD based epileptic spike detection method].
Zhu Y; Chu M; Qiu T; Bao H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Apr; 25(2):275-9. PubMed ID: 18610605
[TBL] [Abstract][Full Text] [Related]
30. Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
Acir N; Oztura I; Kuntalp M; Baklan B; Güzeliş C
IEEE Trans Biomed Eng; 2005 Jan; 52(1):30-40. PubMed ID: 15651562
[TBL] [Abstract][Full Text] [Related]
31. Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.
Ge J; Zhang G
Technol Health Care; 2015; 23 Suppl 1():S151-5. PubMed ID: 26410319
[TBL] [Abstract][Full Text] [Related]
32. A comparison of algorithms for detection of spikes in the electroencephalogram.
Pang CC; Upton AR; Shine G; Kamath MV
IEEE Trans Biomed Eng; 2003 Apr; 50(4):521-6. PubMed ID: 12723065
[TBL] [Abstract][Full Text] [Related]
33. A multistage, multimethod approach for automatic detection and classification of epileptiform EEG.
Liu HS; Zhang T; Yang FS
IEEE Trans Biomed Eng; 2002 Dec; 49(12 Pt 2):1557-66. PubMed ID: 12549737
[TBL] [Abstract][Full Text] [Related]
34. EEG-based motor imagery analysis using weighted wavelet transform features.
Hsu WY; Sun YN
J Neurosci Methods; 2009 Jan; 176(2):310-8. PubMed ID: 18848844
[TBL] [Abstract][Full Text] [Related]
35. Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions.
Pachori RB; Patidar S
Comput Methods Programs Biomed; 2014 Feb; 113(2):494-502. PubMed ID: 24377902
[TBL] [Abstract][Full Text] [Related]
36. Automatic detection of epileptic EEG signals using higher order cumulant features.
Acharya UR; Sree SV; Suri JS
Int J Neural Syst; 2011 Oct; 21(5):403-14. PubMed ID: 21956932
[TBL] [Abstract][Full Text] [Related]
37. Feature extraction and recognition of ictal EEG using EMD and SVM.
Li S; Zhou W; Yuan Q; Geng S; Cai D
Comput Biol Med; 2013 Aug; 43(7):807-16. PubMed ID: 23746721
[TBL] [Abstract][Full Text] [Related]
38. EEG classification approach based on the extreme learning machine and wavelet transform.
Yuan Q; Zhou W; Zhang J; Li S; Cai D; Zeng Y
Clin EEG Neurosci; 2012 Apr; 43(2):127-32. PubMed ID: 22715486
[TBL] [Abstract][Full Text] [Related]
39. Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design.
Huan NJ; Palaniappan R
J Neural Eng; 2004 Sep; 1(3):142-50. PubMed ID: 15876633
[TBL] [Abstract][Full Text] [Related]
40. Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band.
Ayala M; Cabrerizo M; Jayakar P; Adjouadi M
J Clin Neurophysiol; 2011 Feb; 28(1):20-9. PubMed ID: 21221013
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
