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 *

164 related articles for article (PubMed ID: 23956786)

  • 1. Wavelet-based artifact identification and separation technique for EEG signals during galvanic vestibular stimulation.
    Adib M; Cretu E
    Comput Math Methods Med; 2013; 2013():167069. PubMed ID: 23956786
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG.
    Bono V; Das S; Jamal W; Maharatna K
    J Neurosci Methods; 2016 Jul; 267():89-107. PubMed ID: 27102040
    [TBL] [Abstract][Full Text] [Related]  

  • 3. EEG artifact rejection by extracting spatial and spatio-spectral common components.
    Abdi-Sargezeh B; Foodeh R; Shalchyan V; Daliri MR
    J Neurosci Methods; 2021 Jul; 358():109182. PubMed ID: 33836173
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.
    Hossain MS; Chowdhury MEH; Reaz MBI; Ali SHM; Bakar AAA; Kiranyaz S; Khandakar A; Alhatou M; Habib R; Hossain MM
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590859
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extraction of the GVS electrical artifact from EEG recordings of the motor related cortical potential.
    Duncan SJ; Kamyla M; Ferguson HJ; Wilkinson DT
    J Neurosci Methods; 2022 Feb; 368():109459. PubMed ID: 34954254
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic identification and removal of ocular artifacts in EEG--improved adaptive predictor filtering for portable applications.
    Zhao Q; Hu B; Shi Y; Li Y; Moore P; Sun M; Peng H
    IEEE Trans Nanobioscience; 2014 Jun; 13(2):109-17. PubMed ID: 24802943
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Isolating gait-related movement artifacts in electroencephalography during human walking.
    Kline JE; Huang HJ; Snyder KL; Ferris DP
    J Neural Eng; 2015 Aug; 12(4):046022. PubMed ID: 26083595
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Methods for artifact detection and removal from scalp EEG: A review.
    Islam MK; Rastegarnia A; Yang Z
    Neurophysiol Clin; 2016 Nov; 46(4-5):287-305. PubMed ID: 27751622
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings.
    Ryali S; Glover GH; Chang C; Menon V
    Neuroimage; 2009 Nov; 48(2):348-61. PubMed ID: 19580873
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Artifact reduction for simultaneous EEG/fMRI recording: adaptive FIR reduction of imaging artifacts.
    Wan X; Iwata K; Riera J; Kitamura M; Kawashima R
    Clin Neurophysiol; 2006 Mar; 117(3):681-92. PubMed ID: 16458593
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information.
    Zhang C; Tong L; Zeng Y; Jiang J; Bu H; Yan B; Li J
    Biomed Res Int; 2015; 2015():720450. PubMed ID: 26380294
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Probability mapping based artifact detection and removal from single-channel EEG signals for brain-computer interface applications.
    Islam MK; Ghorbanzadeh P; Rastegarnia A
    J Neurosci Methods; 2021 Aug; 360():109249. PubMed ID: 34139268
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SSA with CWT and
    Maddirala AK; Veluvolu KC
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A Wavelet-Based Artifact Reduction From Scalp EEG for Epileptic Seizure Detection.
    Islam MK; Rastegarnia A; Yang Z
    IEEE J Biomed Health Inform; 2016 Sep; 20(5):1321-32. PubMed ID: 26186797
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artifact Removal in tACS-EEG Recordings: A Combined Methodology Based on the Empirical Wavelet Transform.
    Yan X; Boudrias MH; Mitsis GD
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():944-947. PubMed ID: 33018140
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter.
    Phadikar S; Sinha N; Ghosh R; Ghaderpour E
    Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458940
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.