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 *

155 related articles for article (PubMed ID: 35378524)

  • 21. [Research on automatic removal of ocular artifacts from single channel electroencephalogram signals based on wavelet transform and ensemble empirical mode decomposition].
    Zhang R; Liu J; Chen M; Zhang L; Hu Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Jun; 38(3):473-482. PubMed ID: 34180192
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. Detection of artifacts from high energy bursts in neonatal EEG.
    Bhattacharyya S; Biswas A; Mukherjee J; Majumdar AK; Majumdar B; Mukherjee S; Singh AK
    Comput Biol Med; 2013 Nov; 43(11):1804-14. PubMed ID: 24209926
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings.
    Zou Y; Nathan V; Jafari R
    IEEE J Biomed Health Inform; 2016 Jan; 20(1):73-81. PubMed ID: 25415992
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Automatic removal of various artifacts from EEG signals using combined methods.
    Gao J; Yang Y; Sun J; Yu G
    J Clin Neurophysiol; 2010 Oct; 27(5):312-20. PubMed ID: 20844440
    [TBL] [Abstract][Full Text] [Related]  

  • 29. NEAR: An artifact removal pipeline for human newborn EEG data.
    Kumaravel VP; Farella E; Parise E; Buiatti M
    Dev Cogn Neurosci; 2022 Apr; 54():101068. PubMed ID: 35085870
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Surrogate-Based Artifact Removal From Single-Channel EEG.
    Chavez M; Grosselin F; Bussalb A; De Vico Fallani F; Navarro-Sune X
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):540-550. PubMed ID: 29522398
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Removal of Eye Blink Artifacts From EEG Signals Using Sparsity.
    Sreeja SR; Sahay RR; Samanta D; Mitra P
    IEEE J Biomed Health Inform; 2018 Sep; 22(5):1362-1372. PubMed ID: 29990133
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An automatic algorithm for blink-artifact suppression based on iterative template matching: application to single channel recording of cortical auditory evoked potentials.
    Valderrama JT; de la Torre A; Van Dun B
    J Neural Eng; 2018 Feb; 15(1):016008. PubMed ID: 28925372
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An outlier detection-based method for artifact removal of few-channel EEGs.
    Chen H; Zhang H; Liu C; Chai Y; Li X
    J Neural Eng; 2022 Oct; 19(5):. PubMed ID: 36167058
    [No Abstract]   [Full Text] [Related]  

  • 35. Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features.
    Radüntz T; Scouten J; Hochmuth O; Meffert B
    J Neural Eng; 2017 Aug; 14(4):046004. PubMed ID: 28497769
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Automatic removal of eye-movement and blink artifacts from EEG signals.
    Gao JF; Yang Y; Lin P; Wang P; Zheng CX
    Brain Topogr; 2010 Mar; 23(1):105-14. PubMed ID: 20039116
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis.
    Gao J; Zheng C; Wang P
    Clin EEG Neurosci; 2010 Jan; 41(1):53-9. PubMed ID: 20307017
    [TBL] [Abstract][Full Text] [Related]  

  • 38. EOG artifact minimization using oblique projection corrected eigenvector decomposition.
    Zhou Z; Puthusserypady S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4656-9. PubMed ID: 19163754
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Inherent physiological artifacts in EEG during tDCS.
    Gebodh N; Esmaeilpour Z; Adair D; Chelette K; Dmochowski J; Woods AJ; Kappenman ES; Parra LC; Bikson M
    Neuroimage; 2019 Jan; 185():408-424. PubMed ID: 30321643
    [TBL] [Abstract][Full Text] [Related]  

  • 40. EOG artifact correction from EEG recording using stationary subspace analysis and empirical mode decomposition.
    Zeng H; Song A; Yan R; Qin H
    Sensors (Basel); 2013 Nov; 13(11):14839-59. PubMed ID: 24189330
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.