151 related articles for article (PubMed ID: 24111261)
1. A robust principal component analysis algorithm for EEG-based vigilance estimation.
Shi LC; Duan RN; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6623-6. PubMed ID: 24111261
[TBL] [Abstract][Full Text] [Related]
2. Differential entropy feature for EEG-based vigilance estimation.
Shi LC; Jiao YY; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6627-30. PubMed ID: 24111262
[TBL] [Abstract][Full Text] [Related]
3. A multimodal approach to estimating vigilance using EEG and forehead EOG.
Zheng WL; Lu BL
J Neural Eng; 2017 Apr; 14(2):026017. PubMed ID: 28102833
[TBL] [Abstract][Full Text] [Related]
4. Estimating vigilance in driving simulation using probabilistic PCA.
Li M; Fu JW; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5000-3. PubMed ID: 19163840
[TBL] [Abstract][Full Text] [Related]
5. Vigilance detection based on sparse representation of EEG.
Yu H; Lu H; Ouyang T; Liu H; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2439-42. PubMed ID: 21095698
[TBL] [Abstract][Full Text] [Related]
6. EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features.
Wu D; Lance BJ; Lawhern VJ; Gordon S; Jung TP; Lin CT
IEEE Trans Neural Syst Rehabil Eng; 2017 Nov; 25(11):2157-2168. PubMed ID: 28463203
[TBL] [Abstract][Full Text] [Related]
7. 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. PubMed ID: 25704869
[TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 28688489
[TBL] [Abstract][Full Text] [Related]
9. EEG-based emotion recognition using deep learning network with principal component based covariate shift adaptation.
Jirayucharoensak S; Pan-Ngum S; Israsena P
ScientificWorldJournal; 2014; 2014():627892. PubMed ID: 25258728
[TBL] [Abstract][Full Text] [Related]
10. Detection of microsleep states from the EEG: a comparison of feature reduction methods.
Ayyagari SSDP; Jones RD; Weddell SJ
Med Biol Eng Comput; 2021 Aug; 59(7-8):1643-1657. PubMed ID: 34275069
[TBL] [Abstract][Full Text] [Related]
11. Dynamic clustering for vigilance analysis based on EEG.
Shi LC; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():54-7. PubMed ID: 19162592
[TBL] [Abstract][Full Text] [Related]
12. Evoked potentials and behavioral performance during different states of brain arousal.
Huang J; Hensch T; Ulke C; Sander C; Spada J; Jawinski P; Hegerl U
BMC Neurosci; 2017 Jan; 18(1):21. PubMed ID: 28122495
[TBL] [Abstract][Full Text] [Related]
13. Off-line and on-line vigilance estimation based on linear dynamical system and manifold learning.
Shi LC; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():6587-90. PubMed ID: 21096513
[TBL] [Abstract][Full Text] [Related]
14. Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
Jaiswal AK; Banka H
Biomed Mater Eng; 2017; 28(2):141-157. PubMed ID: 28372267
[TBL] [Abstract][Full Text] [Related]
15. [Motor Imagery Electroencephalogram Feature Selection Algorithm Based on Mutual Information and Principal Component Analysis].
Xu J; Zuo G
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Apr; 33(2):201-7. PubMed ID: 29708316
[TBL] [Abstract][Full Text] [Related]
16. Vigilance estimation by using electrooculographic features.
Ma JX; Shi LC; Lu BL
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():6591-4. PubMed ID: 21096514
[TBL] [Abstract][Full Text] [Related]
17. Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA.
Javed E; Faye I; Malik AS; Abdullah JM
J Neurosci Methods; 2017 Nov; 291():150-165. PubMed ID: 28842191
[TBL] [Abstract][Full Text] [Related]
18. Joint
Feng CM; Gao YL; Liu JX; Wang J; Wang DQ; Wen CG
Biomed Res Int; 2017; 2017():5073427. PubMed ID: 28470011
[TBL] [Abstract][Full Text] [Related]
19. Manifold learning applied on EEG signal of the epileptic patients for detection of normal and pre-seizure States.
Ataee P; Yazdani A; Setarehdan S; Noubari HA
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5489-92. PubMed ID: 18003254
[TBL] [Abstract][Full Text] [Related]
20. EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm.
Yoon HJ; Chung SY
Comput Biol Med; 2013 Dec; 43(12):2230-7. PubMed ID: 24290940
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]