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 *

225 related articles for article (PubMed ID: 30877734)

  • 1. Removing muscle artifacts from EEG data of people with cognitive impairment using high order statistic methods.
    Kalogiannis G; Chassapis G; Tsolaki M
    Hell J Nucl Med; 2019; 22 Suppl():165-173. PubMed ID: 30877734
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics.
    Chen X; Liu A; Chen Q; Liu Y; Zou L; McKeown MJ
    Comput Biol Med; 2017 Sep; 88():1-10. PubMed ID: 28658649
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An adaptive joint CCA-ICA method for ocular artifact removal and its application to emotion classification.
    Gao X; Zhang S; Liu K; Tan Z; Zhao G; Han Y; Cheng Y; Li C; Li P; Tian Y; Li F
    J Neurosci Methods; 2023 Apr; 390():109841. PubMed ID: 36948359
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal.
    Vergult A; De Clercq W; Palmini A; Vanrumste B; Dupont P; Van Huffel S; Van Paesschen W
    Epilepsia; 2007 May; 48(5):950-8. PubMed ID: 17381439
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid method for muscle artifact removal from EEG signals.
    Chen Q; Li Y; Yuan X
    J Neurosci Methods; 2021 Apr; 353():109104. PubMed ID: 33617916
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging.
    Hallez H; De Vos M; Vanrumste B; Van Hese P; Assecondi S; Van Laere K; Dupont P; Van Paesschen W; Van Huffel S; Lemahieu I
    Clin Neurophysiol; 2009 Jul; 120(7):1262-72. PubMed ID: 19539525
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multiple time-lag canonical correlation analysis for removing muscular artifacts in EEG.
    Shen K; Yu K; Bandla A; Sun Y; Thakor N; Li X
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6792-5. PubMed ID: 24111303
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Removal of EEG noise and artifact using blind source separation.
    Fitzgibbon SP; Powers DM; Pope KJ; Clark CR
    J Clin Neurophysiol; 2007 Jun; 24(3):232-43. PubMed ID: 17545826
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reduction hybrid artifacts of EMG-EOG in electroencephalography evoked by prefrontal transcranial magnetic stimulation.
    Bai Y; Wan X; Zeng K; Ni Y; Qiu L; Li X
    J Neural Eng; 2016 Dec; 13(6):066016. PubMed ID: 27788128
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Removal of EMG Artifacts from Multichannel EEG Signals Using Combined Singular Spectrum Analysis and Canonical Correlation Analysis.
    Liu Q; Liu A; Zhang X; Chen X; Qian R; Chen X
    J Healthc Eng; 2019; 2019():4159676. PubMed ID: 31976053
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feasibility of blind source separation methods for the denoising of dense-array EEG.
    Taheri N; Kachenoura A; Ansari-Asl K; Karfoul A; Senhadji L; Albera L; Merlet I
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4773-6. PubMed ID: 26737361
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram.
    De Clercq W; Vergult A; Vanrumste B; Van Paesschen W; Van Huffel S
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2583-7. PubMed ID: 17153216
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved artefact removal from EEG using Canonical Correlation Analysis and spectral slope.
    Janani AS; Grummett TS; Lewis TW; Fitzgibbon SP; Whitham EM; DelosAngeles D; Bakhshayesh H; Willoughby JO; Pope KJ
    J Neurosci Methods; 2018 Mar; 298():1-15. PubMed ID: 29408174
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An improved artifacts removal method for high dimensional EEG.
    Hou J; Morgan K; Tucker DM; Konyn A; Poulsen C; Tanaka Y; Anderson EW; Luu P
    J Neurosci Methods; 2016 Aug; 268():31-42. PubMed ID: 27156989
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal.
    Roy V; Shukla S; Shukla PK; Rawat P
    J Healthc Eng; 2017; 2017():9674712. PubMed ID: 29118966
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition.
    Gu Y; Li X; Chen S; Li X
    J Neural Eng; 2021 Apr; 18(5):056012. PubMed ID: 33821810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA-WT during Working Memory Tasks.
    Al-Qazzaz NK; Hamid Bin Mohd Ali S; Ahmad SA; Islam MS; Escudero J
    Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28594352
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics.
    Congedo M; Gouy-Pailler C; Jutten C
    Clin Neurophysiol; 2008 Dec; 119(12):2677-86. PubMed ID: 18993114
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
    Wang G; Teng C; Li K; Zhang Z; Yan X
    IEEE J Biomed Health Inform; 2016 Sep; 20(5):1301-8. PubMed ID: 26126290
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Technique for Selecting EMG-Contaminated EEG Channels in Self-Paced Brain-Computer Interface Task Onset.
    Song Y; Sepulveda F
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jul; 26(7):1353-1362. PubMed ID: 29985144
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.