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 *

110 related articles for article (PubMed ID: 30441708)

  • 1. Cochlear implant artifact reduction on one channel Mismatch Negativity recordings based on Ensemble Empirical Mode Decomposition and Independent Component Analysis.
    Martinez-Camacho MA; Castaneda-Villa N
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():6018-6021. PubMed ID: 30441708
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cochlear implant artifact attenuation in late auditory evoked potentials: a single channel approach.
    Mc Laughlin M; Lopez Valdes A; Reilly RB; Zeng FG
    Hear Res; 2013 Aug; 302():84-95. PubMed ID: 23727626
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Eye blink artifact rejection in single-channel electroencephalographic signals by complete ensemble empirical mode decomposition and independent component analysis.
    Kanoga S; Mitsukura Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():121-4. PubMed ID: 26736215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel method for device-related electroencephalography artifact suppression to explore cochlear implant-related cortical changes in single-sided deafness.
    Kim K; Punte AK; Mertens G; Van de Heyning P; Park KJ; Choi H; Choi JW; Song JJ
    J Neurosci Methods; 2015 Nov; 255():22-8. PubMed ID: 26231621
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation.
    CastaƱeda-Villa N; James CJ
    IEEE Trans Biomed Eng; 2011 Feb; 58(2):348-54. PubMed ID: 20813628
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An improved method for measuring mismatch negativity using ensemble empirical mode decomposition.
    Hsu CH; Lee CY; Liang WK
    J Neurosci Methods; 2016 May; 264():78-85. PubMed ID: 26920929
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Auditory steady state responses and cochlear implants: Modeling the artifact-response mixture in the perspective of denoising.
    Mina F; Attina V; Duroc Y; Veuillet E; Truy E; Thai-Van H
    PLoS One; 2017; 12(3):e0174462. PubMed ID: 28350887
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique.
    Sweeney KT; McLoone SF; Ward TE
    IEEE Trans Biomed Eng; 2013 Jan; 60(1):97-105. PubMed ID: 23086501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichannel Electroencephalogram Signals.
    Teng CL; Zhang YY; Wang W; Luo YY; Wang G; Xu J
    Front Neurosci; 2021; 15():729403. PubMed ID: 34707475
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A preliminary study of muscular artifact cancellation in single-channel EEG.
    Chen X; Liu A; Peng H; Ward RK
    Sensors (Basel); 2014 Oct; 14(10):18370-89. PubMed ID: 25275348
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Independent component analysis for cochlear implant artifacts attenuation from electrically evoked auditory steady-state response measurements.
    Deprez H; Gransier R; Hofmann M; van Wieringen A; Wouters J; Moonen M
    J Neural Eng; 2018 Feb; 15(1):016006. PubMed ID: 29211684
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An EEMD-ICA Approach to Enhancing Artifact Rejection for Noisy Multivariate Neural Data.
    Zeng K; Chen D; Ouyang G; Wang L; Liu X; Li X
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jun; 24(6):630-8. PubMed ID: 26552089
    [TBL] [Abstract][Full Text] [Related]  

  • 14. EEG artifact correction strategies for online trial-by-trial analysis.
    de Freitas AM; Sanchez G; Lecaignard F; Maby E; Soares AB; Mattout J
    J Neural Eng; 2020 Jan; 17(1):016035. PubMed ID: 31731283
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Correlation-based ECG Artifact Correction from Single Channel EEG using Modified Variational Mode Decomposition.
    Dora C; Biswal PK
    Comput Methods Programs Biomed; 2020 Jan; 183():105092. PubMed ID: 31600608
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validation of the cochlear implant artifact correction tool for auditory electrophysiology.
    Miller S; Zhang Y
    Neurosci Lett; 2014 Aug; 577():51-5. PubMed ID: 24946164
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Recording EEG in cochlear implant users: Guidelines for experimental design and data analysis for optimizing signal quality and minimizing artifacts.
    Intartaglia B; Zeitnouni AG; Lehmann A
    J Neurosci Methods; 2022 Jun; 375():109592. PubMed ID: 35367234
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Auditory steady-state responses in cochlear implant users: Effect of modulation frequency and stimulation artifacts.
    Gransier R; Deprez H; Hofmann M; Moonen M; van Wieringen A; Wouters J
    Hear Res; 2016 May; 335():149-160. PubMed ID: 26994660
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study.
    Haumann NT; Parkkonen L; Kliuchko M; Vuust P; Brattico E
    Comput Intell Neurosci; 2016; 2016():7489108. PubMed ID: 27524998
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.