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Results: 1 to 20 of 103

Similar articles for PubMed (Select 24804477)

1.

[Study on nonlinear dynamic characteristic indexes of epileptic electroencephalography and electroencephalography subbands].

Huang R, Du S, Chen Z, Zhang Z, Zhou Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014 Feb;31(1):18-22. Chinese.

PMID:
24804477
2.

Application of approximate entropy on dynamic characteristics of epileptic absence seizure.

Zhou Y, Huang R, Chen Z, Chang X, Chen J, Xie L.

Neural Regen Res. 2012 Mar 15;7(8):572-7. doi: 10.3969/j.issn.1673-5374.2012.08.002.

3.
4.

MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropy.

Montalto A, Faes L, Marinazzo D.

PLoS One. 2014 Oct 14;9(10):e109462. doi: 10.1371/journal.pone.0109462. eCollection 2014.

5.

Approximate entropy and support vector machines for electroencephalogram signal classification.

Zhang Z, Zhou Y, Chen Z, Tian X, Du S, Huang R.

Neural Regen Res. 2013 Jul 15;8(20):1844-52. doi: 10.3969/j.issn.1673-5374.2013.20.003.

6.

[Study on concordance of ictal and interictal epileptiform activity in patients with tuberous sclerosis complex].

Yang Z, Guo Q, Zhuang J, Liu X, Xiong H, Wu Y, Wang S, Chang X, Zhang Y, Bao X, Jiang Y, Qin J.

Zhonghua Er Ke Za Zhi. 2014 Apr;52(4):292-7. Chinese.

PMID:
24915918
7.

Electroencephalographic Data Analysis With Visibility Graph Technique for Quantitative Assessment of Brain Dysfunction.

Bhaduri S, Ghosh D.

Clin EEG Neurosci. 2015 Jul;46(3):218-23. doi: 10.1177/1550059414526186. Epub 2014 Apr 28.

PMID:
24781371
8.

Construction of rules for seizure prediction based on approximate entropy.

Zhang Z, Chen Z, Zhou Y, Du S, Zhang Y, Mei T, Tian X.

Clin Neurophysiol. 2014 Oct;125(10):1959-66. doi: 10.1016/j.clinph.2014.02.017. Epub 2014 Feb 28.

PMID:
24690391
9.

Detection of epileptic seizure event and onset using EEG.

Ahammad N, Fathima T, Joseph P.

Biomed Res Int. 2014;2014:450573. doi: 10.1155/2014/450573. Epub 2014 Jan 29.

10.

A new framework based on recurrence quantification analysis for epileptic seizure detection.

Niknazar M, Mousavi SR, Vahdat BV, Sayyah M.

IEEE J Biomed Health Inform. 2013 May;17(3):572-8.

PMID:
24592459
11.

Dynamic principal component analysis with nonoverlapping moving window and its applications to epileptic EEG classification.

Xie S, Krishnan S.

ScientificWorldJournal. 2014 Jan 16;2014:419308. doi: 10.1155/2014/419308. eCollection 2014.

12.

Epilepsy-related brain networks in ring chromosome 20 syndrome: an EEG-fMRI study.

Vaudano AE, Ruggieri A, Vignoli A, Avanzini P, Benuzzi F, Gessaroli G, Nichelli PF, Darra F, Cantalupo G, Mastrangelo M, Dalla Bernardina B, Canevini MP, Meletti S.

Epilepsia. 2014 Mar;55(3):403-13. doi: 10.1111/epi.12539. Epub 2014 Jan 31.

PMID:
24483620
13.

[Epileptic EEG signal classification based on wavelet packet transform and multivariate multiscale entropy].

Xu Y, Li X, Zhao Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Oct;30(5):1073-8, 1090. Chinese.

PMID:
24459973
14.

[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. Chinese.

PMID:
24459944
15.

Comparison of ictal and interictal EEG signals using fractal features.

Wang Y, Zhou W, Yuan Q, Li X, Meng Q, Zhao X, Wang J.

Int J Neural Syst. 2013 Dec;23(6):1350028. doi: 10.1142/S0129065713500287. Epub 2013 Sep 18.

PMID:
24156671
16.

Ictal electroencephalography and electromyography features in symptomatic infantile epileptic encephalopathy with late-onset spasms.

Ishikawa N, Kobayashi Y, Fujii Y, Tajima G, Kobayashi M.

Neuropediatrics. 2014 Feb;45(1):36-41. doi: 10.1055/s-0033-1357479. Epub 2013 Oct 13.

PMID:
24122274
17.

Neurophysiology of juvenile myoclonic epilepsy: EEG-based network and graph analysis of the interictal and immediate preictal states.

Clemens B, Puskás S, Besenyei M, Spisák T, Opposits G, Hollódy K, Fogarasi A, Fekete I, Emri M.

Epilepsy Res. 2013 Oct;106(3):357-69. doi: 10.1016/j.eplepsyres.2013.06.017. Epub 2013 Jul 22.

PMID:
23886656
18.

Automated diagnosis of normal and alcoholic EEG signals.

Acharya UR, Sree SV, Chattopadhyay S, Suri JS.

Int J Neural Syst. 2012 Jun;22(3):1250011. doi: 10.1142/S0129065712500116.

PMID:
23627627
19.

Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.

Acharya UR, Sree SV, Alvin AP, Yanti R, Suri JS.

Int J Neural Syst. 2012 Apr;22(2):1250002. doi: 10.1142/S0129065712500025.

PMID:
23627588
20.

High-Performance Seizure Detection System Using a Wavelet-Approximate Entropy-fSVM Cascade With Clinical Validation.

Shen CP, Chen CC, Hsieh SL, Chen WH, Chen JM, Chen CM, Lai F, Chiu MJ.

Clin EEG Neurosci. 2013 Oct;44(4):247-56. doi: 10.1177/1550059413483451. Epub 2013 Apr 22.

PMID:
23610456
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