744 related articles for article (PubMed ID: 29903485)
1. A Quasi-probabilistic distribution model for EEG Signal classification by using 2-D signal representation.
Murat Yilmaz C; Kose C; Hatipoglu B
Comput Methods Programs Biomed; 2018 Aug; 162():187-196. PubMed ID: 29903485
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface.
Siuly ; Li Y; Paul Wen P
Comput Methods Programs Biomed; 2014 Mar; 113(3):767-80. PubMed ID: 24440135
[TBL] [Abstract][Full Text] [Related]
4. 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. PubMed ID: 26358282
[TBL] [Abstract][Full Text] [Related]
5. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
Chaudhary S; Taran S; Bajaj V; Siuly S
Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
[TBL] [Abstract][Full Text] [Related]
6. A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.
Lotte F; Bougrain L; Cichocki A; Clerc M; Congedo M; Rakotomamonjy A; Yger F
J Neural Eng; 2018 Jun; 15(3):031005. PubMed ID: 29488902
[TBL] [Abstract][Full Text] [Related]
7. Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications.
Shin Y; Lee S; Ahn M; Cho H; Jun SC; Lee HN
Comput Biol Med; 2015 Nov; 66():29-38. PubMed ID: 26378500
[TBL] [Abstract][Full Text] [Related]
8. [Selection and Classification of Elastic Net Feature with Fused Electroencephalogram Features].
Li J; Wang J; Li H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Jun; 33(3):413-9. PubMed ID: 29708715
[TBL] [Abstract][Full Text] [Related]
9. Diversity in a signal-to-image transformation approach for EEG-based motor imagery task classification.
Yilmaz BH; Yilmaz CM; Kose C
Med Biol Eng Comput; 2020 Feb; 58(2):443-459. PubMed ID: 31863249
[TBL] [Abstract][Full Text] [Related]
10. A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
Miao M; Wang A; Liu F
Med Biol Eng Comput; 2017 Sep; 55(9):1589-1603. PubMed ID: 28161876
[TBL] [Abstract][Full Text] [Related]
11. Uncorrelated multiway discriminant analysis for motor imagery EEG classification.
Liu Y; Zhao Q; Zhang L
Int J Neural Syst; 2015 Jun; 25(4):1550013. PubMed ID: 25986750
[TBL] [Abstract][Full Text] [Related]
12. Structure constrained semi-nonnegative matrix factorization for EEG-based motor imagery classification.
Lu N; Li T; Pan J; Ren X; Feng Z; Miao H
Comput Biol Med; 2015 May; 60():32-9. PubMed ID: 25747342
[TBL] [Abstract][Full Text] [Related]
13. Separable Common Spatio-Spectral Patterns for Motor Imagery BCI Systems.
Aghaei AS; Mahanta MS; Plataniotis KN
IEEE Trans Biomed Eng; 2016 Jan; 63(1):15-29. PubMed ID: 26452197
[TBL] [Abstract][Full Text] [Related]
14. Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs.
Degirmenci M; Yuce YK; Perc M; Isler Y
Front Hum Neurosci; 2023; 17():1223307. PubMed ID: 37497042
[TBL] [Abstract][Full Text] [Related]
15. An effective feature extraction method by power spectral density of EEG signal for 2-class motor imagery-based BCI.
Kim C; Sun J; Liu D; Wang Q; Paek S
Med Biol Eng Comput; 2018 Sep; 56(9):1645-1658. PubMed ID: 29497931
[TBL] [Abstract][Full Text] [Related]
16. Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata.
Liu A; Chen K; Liu Q; Ai Q; Xie Y; Chen A
Sensors (Basel); 2017 Nov; 17(11):. PubMed ID: 29117100
[TBL] [Abstract][Full Text] [Related]
17. A new parameter tuning approach for enhanced motor imagery EEG signal classification.
Kumar S; Sharma A
Med Biol Eng Comput; 2018 Oct; 56(10):1861-1874. PubMed ID: 29616456
[TBL] [Abstract][Full Text] [Related]
18. 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. PubMed ID: 22503644
[TBL] [Abstract][Full Text] [Related]
19. EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.
Padfield N; Zabalza J; Zhao H; Masero V; Ren J
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30909489
[TBL] [Abstract][Full Text] [Related]
20. An embedded implementation based on adaptive filter bank for brain-computer interface systems.
Belwafi K; Romain O; Gannouni S; Ghaffari F; Djemal R; Ouni B
J Neurosci Methods; 2018 Jul; 305():1-16. PubMed ID: 29738806
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]