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Items: 1 to 20 of 98

1.

Novel joint algorithm based on EEG in complex scenarios.

Chen D, Yang W, Miao R, Huang L, Zhang L, Deng C, Han N.

Comput Assist Surg (Abingdon). 2019 Oct;24(sup2):117-125. doi: 10.1080/24699322.2019.1649078. Epub 2019 Aug 10.

PMID:
31401896
2.

Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.

Siuly S, Li Y.

Comput Methods Programs Biomed. 2015 Apr;119(1):29-42. doi: 10.1016/j.cmpb.2015.01.002. Epub 2015 Jan 30.

PMID:
25704869
3.

Classification of EEG Signals Based on Pattern Recognition Approach.

Amin HU, Mumtaz W, Subhani AR, Saad MNM, Malik AS.

Front Comput Neurosci. 2017 Nov 21;11:103. doi: 10.3389/fncom.2017.00103. eCollection 2017.

4.

Epileptic seizure detection in EEG signal with GModPCA and support vector machine.

Jaiswal AK, Banka H.

Biomed Mater Eng. 2017;28(2):141-157. doi: 10.3233/BME-171663.

PMID:
28372267
5.

A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.

Al Ghayab HR, Li Y, Siuly S, Abdulla S.

J Neurosci Methods. 2019 Jan 15;312:43-52. doi: 10.1016/j.jneumeth.2018.11.014. Epub 2018 Nov 20.

PMID:
30468823
6.

A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.

Zarei R, He J, Siuly S, Zhang Y.

Comput Methods Programs Biomed. 2017 Jul;146:47-57. doi: 10.1016/j.cmpb.2017.05.009. Epub 2017 May 24.

PMID:
28688489
7.

Epileptic seizure detection in EEG signal using machine learning techniques.

Jaiswal AK, Banka H.

Australas Phys Eng Sci Med. 2018 Mar;41(1):81-94. doi: 10.1007/s13246-017-0610-y. Epub 2017 Dec 20.

PMID:
29264792
8.

Facial expression recognition based on Electroencephalogram and facial landmark localization.

Li D, Wang Z, Gao Q, Song Y, Yu X, Wang C.

Technol Health Care. 2019;27(4):373-387. doi: 10.3233/THC-181538.

PMID:
30664515
9.

Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms.

Liu R, Zhang Z, Duan F, Zhou X, Meng Z.

Comput Intell Neurosci. 2017;2017:2727856. doi: 10.1155/2017/2727856. Epub 2017 Aug 9.

10.

Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines.

Derya Ubeyli E.

Comput Biol Med. 2008 Jan;38(1):14-22. Epub 2007 Jul 24.

PMID:
17651716
11.

Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals.

Zarei R, He J, Siuly S, Huang G, Zhang Y.

Biomed Res Int. 2019 Jul 7;2019:5173589. doi: 10.1155/2019/5173589. eCollection 2019.

12.

Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals.

Hu J.

Front Comput Neurosci. 2017 Aug 3;11:72. doi: 10.3389/fncom.2017.00072. eCollection 2017.

13.

Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features.

Li Y, Cui W, Luo M, Li K, Wang L.

Int J Neural Syst. 2018 Sep;28(7):1850003. doi: 10.1142/S012906571850003X. Epub 2018 Jan 25.

PMID:
29607682
14.

Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features.

Al-Salman W, Li Y, Wen P.

Front Neuroinform. 2019 Jun 28;13:45. doi: 10.3389/fninf.2019.00045. eCollection 2019.

15.

A Novel Approach Based on Data Redundancy for Feature Extraction of EEG Signals.

Amin HU, Malik AS, Kamel N, Hussain M.

Brain Topogr. 2016 Mar;29(2):207-17. doi: 10.1007/s10548-015-0462-2. Epub 2015 Nov 27.

PMID:
26613724
16.

A novel local senary pattern based epilepsy diagnosis system using EEG signals.

Tuncer T, Dogan S, Akbal E.

Australas Phys Eng Sci Med. 2019 Sep 3. doi: 10.1007/s13246-019-00794-x. [Epub ahead of print]

PMID:
31482442
17.

Clustering technique-based least square support vector machine for EEG signal classification.

Siuly, Li Y, Wen PP.

Comput Methods Programs Biomed. 2011 Dec;104(3):358-72. doi: 10.1016/j.cmpb.2010.11.014. Epub 2010 Dec 17.

PMID:
21168234
18.

A real-time classification algorithm for EEG-based BCI driven by self-induced emotions.

Iacoviello D, Petracca A, Spezialetti M, Placidi G.

Comput Methods Programs Biomed. 2015 Dec;122(3):293-303. doi: 10.1016/j.cmpb.2015.08.011. Epub 2015 Aug 29.

PMID:
26358282
19.

Emotion recognition from EEG using higher order crossings.

Petrantonakis PC, Hadjileontiadis LJ.

IEEE Trans Inf Technol Biomed. 2010 Mar;14(2):186-97. doi: 10.1109/TITB.2009.2034649. Epub 2009 Oct 23.

PMID:
19858033
20.

Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.

Yang J, Singh H, Hines EL, Schlaghecken F, Iliescu DD, Leeson MS, Stocks NG.

Artif Intell Med. 2012 Jun;55(2):117-26. doi: 10.1016/j.artmed.2012.02.001. Epub 2012 Apr 12.

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