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 *

198 related articles for article (PubMed ID: 30441706)

  • 21. A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.
    Romero S; Mañanas MA; Barbanoj MJ
    Comput Biol Med; 2008 Mar; 38(3):348-60. PubMed ID: 18222418
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Removal of ECG artifacts from EEG using a modified independent component analysis approach.
    Devuyst S; Dutoit T; Stenuit P; Kerkhofs M; Stanus E
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5204-7. PubMed ID: 19163890
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection.
    Nolan H; Whelan R; Reilly RB
    J Neurosci Methods; 2010 Sep; 192(1):152-62. PubMed ID: 20654646
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 'High-Density-SleepCleaner': An open-source, semi-automatic artifact removal routine tailored to high-density sleep EEG.
    Leach S; Sousouri G; Huber R
    J Neurosci Methods; 2023 May; 391():109849. PubMed ID: 37075912
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A multi-step blind source separation approach for the attenuation of artifacts in mobile high-density electroencephalography data.
    Zhao M; Bonassi G; Guarnieri R; Pelosin E; Nieuwboer A; Avanzino L; Mantini D
    J Neural Eng; 2021 Dec; 18(6):. PubMed ID: 34874319
    [No Abstract]   [Full Text] [Related]  

  • 27. Semi-automatic identification of independent components representing EEG artifact.
    Viola FC; Thorne J; Edmonds B; Schneider T; Eichele T; Debener S
    Clin Neurophysiol; 2009 May; 120(5):868-77. PubMed ID: 19345611
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Kmeans-ICA based automatic method for ocular artifacts removal in a motorimagery classification.
    Bou Assi E; Rihana S; Sawan M
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6655-8. PubMed ID: 25571522
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI.
    Steyrl D; Krausz G; Koschutnig K; Edlinger G; Müller-Putz GR
    J Neural Eng; 2017 Apr; 14(2):026003. PubMed ID: 28155841
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. 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]  

  • 33. Tracking gaze position from EEG: Exploring the possibility of an EEG-based virtual eye-tracker.
    Sun R; Cheng ASK; Chan C; Hsiao J; Privitera AJ; Gao J; Fong CH; Ding R; Tang AC
    Brain Behav; 2023 Oct; 13(10):e3205. PubMed ID: 37721530
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data.
    Plöchl M; Ossandón JP; König P
    Front Hum Neurosci; 2012; 6():278. PubMed ID: 23087632
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Automatic detection of periods of slow wave sleep based on intracranial depth electrode recordings.
    Reed CM; Birch KG; Kamiński J; Sullivan S; Chung JM; Mamelak AN; Rutishauser U
    J Neurosci Methods; 2017 Apr; 282():1-8. PubMed ID: 28238858
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Localized component filtering for electroencephalogram artifact rejection.
    DelPozo-Baños M; Weidemann CT
    Psychophysiology; 2017 Apr; 54(4):608-619. PubMed ID: 28112387
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Online EEG artifact removal for BCI applications by adaptive spatial filtering.
    Guarnieri R; Marino M; Barban F; Ganzetti M; Mantini D
    J Neural Eng; 2018 Oct; 15(5):056009. PubMed ID: 29952752
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automated protocol for evaluation of electromagnetic component separation (APECS): Application of a framework for evaluating statistical methods of blink extraction from multichannel EEG.
    Frank RM; Frishkoff GA
    Clin Neurophysiol; 2007 Jan; 118(1):80-97. PubMed ID: 17064960
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Validation of SOBI-DANS method for automatic identification of horizontal and vertical eye movement components from EEG.
    Sun R; Chan C; H Hsiao J; Tang AC
    Psychophysiology; 2021 Feb; 58(2):e13731. PubMed ID: 33283897
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.