These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

236 related articles for article (PubMed ID: 29862762)

  • 1. [Task Classifcation of Right-hand and Foot Motion Imagery Based on Wavelet Packet Transform].
    Cai M; Hu P
    Zhongguo Yi Liao Qi Xie Za Zhi; 2017 May; 41(3):177-180. PubMed ID: 29862762
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.
    Zhang S; Zhu Z; Zhang B; Feng B; Yu T; Li Z
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842635
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification.
    Uyulan C; Ergüzel TT; Tarhan N
    Biomed Tech (Berl); 2019 Sep; 64(5):529-542. PubMed ID: 30849042
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition.
    Yang BH; Yan GZ; Yan RG; Wu T
    J Neural Eng; 2006 Dec; 3(4):251-6. PubMed ID: 17124328
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Research of classification about BCI based on the signals energy].
    Qiao J; Hu P; Hong J
    Zhongguo Yi Liao Qi Xie Za Zhi; 2014 Jan; 38(1):14-8. PubMed ID: 24839840
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Wavelet packet-based independent component analysis for feature extraction from motor imagery EEG of complex movements.
    Zhou Z; Wan B
    Clin Neurophysiol; 2012 Sep; 123(9):1779-88. PubMed ID: 22464489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of brain signals associated with imagination of hand grasping, opening and reaching by means of wavelet-based common spatial pattern and mutual information.
    Amanpour B; Erfanian A
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2224-7. PubMed ID: 24110165
    [TBL] [Abstract][Full Text] [Related]  

  • 9. EEG-based classification of imaginary left and right foot movements using beta rebound.
    Hashimoto Y; Ushiba J
    Clin Neurophysiol; 2013 Nov; 124(11):2153-60. PubMed ID: 23757379
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
    Dong E; Li C; Li L; Du S; Belkacem AN; Chen C
    Med Biol Eng Comput; 2017 Oct; 55(10):1809-1818. PubMed ID: 28238175
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A self produced mother wavelet feature extraction method for motor imagery brain-computer interface.
    Yeh WL; Huang YC; Chiou JH; Duann JR; Chiou JC
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():4302-5. PubMed ID: 24110684
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study.
    Wang K; Wang Z; Guo Y; He F; Qi H; Xu M; Ming D
    J Neuroeng Rehabil; 2017 Sep; 14(1):93. PubMed ID: 28893295
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [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]  

  • 14. An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis.
    Dodia S; Edla DR; Bablani A; Ramesh D; Kuppili V
    J Neurosci Methods; 2019 Feb; 314():31-40. PubMed ID: 30660481
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [ECoG classification based on wavelet variance].
    Yan S; Liu C; Wang H; Zhao H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Jun; 30(3):460-3. PubMed ID: 23865300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine.
    Dai Y; Zhang X; Chen Z; Xu X
    Rev Sci Instrum; 2018 Jul; 89(7):074302. PubMed ID: 30068128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface.
    Subasi A; Mian Qaisar S
    J Healthc Eng; 2021; 2021():1970769. PubMed ID: 34795879
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.
    Guan S; Cong L; Wang F; Dong T
    J Neurosci Methods; 2024 Jul; 407():110136. PubMed ID: 38642806
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. EEG feature comparison and classification of simple and compound limb motor imagery.
    Yi W; Qiu S; Qi H; Zhang L; Wan B; Ming D
    J Neuroeng Rehabil; 2013 Oct; 10():106. PubMed ID: 24119261
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.