BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

423 related articles for article (PubMed ID: 20410364)

  • 1. Removal of movement artifact from high-density EEG recorded during walking and running.
    Gwin JT; Gramann K; Makeig S; Ferris DP
    J Neurophysiol; 2010 Jun; 103(6):3526-34. PubMed ID: 20410364
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Weighted phase lag index stability as an artifact resistant measure to detect cognitive EEG activity during locomotion.
    Lau TM; Gwin JT; McDowell KG; Ferris DP
    J Neuroeng Rehabil; 2012 Jul; 9():47. PubMed ID: 22828128
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Independent Component Analysis of Gait-Related Movement Artifact Recorded using EEG Electrodes during Treadmill Walking.
    Snyder KL; Kline JE; Huang HJ; Ferris DP
    Front Hum Neurosci; 2015; 9():639. PubMed ID: 26648858
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance-based approach for movement artifact removal from electroencephalographic data recorded during locomotion.
    Arad E; Bartsch RP; Kantelhardt JW; Plotnik M
    PLoS One; 2018; 13(5):e0197153. PubMed ID: 29768471
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A walk in the park? Characterizing gait-related artifacts in mobile EEG recordings.
    Jacobsen NSJ; Blum S; Witt K; Debener S
    Eur J Neurosci; 2021 Dec; 54(12):8421-8440. PubMed ID: 32909315
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Electrocortical activity is coupled to gait cycle phase during treadmill walking.
    Gwin JT; Gramann K; Makeig S; Ferris DP
    Neuroimage; 2011 Jan; 54(2):1289-96. PubMed ID: 20832484
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking.
    Oliveira AS; Schlink BR; Hairston WD; König P; Ferris DP
    Front Neurosci; 2017; 11():225. PubMed ID: 28491016
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Long-term test-retest reliability of event-related potential (ERP) recordings during treadmill walking using the mobile brain/body imaging (MoBI) approach.
    Malcolm BR; Foxe JJ; Butler JS; Mowrey WB; Molholm S; De Sanctis P
    Brain Res; 2019 Aug; 1716():62-69. PubMed ID: 28532853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects.
    Wagner J; Solis-Escalante T; Grieshofer P; Neuper C; Müller-Putz G; Scherer R
    Neuroimage; 2012 Nov; 63(3):1203-11. PubMed ID: 22906791
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Faster Gait Speeds Reduce Alpha and Beta EEG Spectral Power From Human Sensorimotor Cortex.
    Nordin AD; Hairston WD; Ferris DP
    IEEE Trans Biomed Eng; 2020 Mar; 67(3):842-853. PubMed ID: 31199248
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Complete artifact removal for EEG recorded during continuous fMRI using independent component analysis.
    Mantini D; Perrucci MG; Cugini S; Ferretti A; Romani GL; Del Gratta C
    Neuroimage; 2007 Jan; 34(2):598-607. PubMed ID: 17112747
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Characterization and real-time removal of motion artifacts from EEG signals.
    Kilicarslan A; Contreras Vidal JL
    J Neural Eng; 2019 Sep; 16(5):056027. PubMed ID: 31220818
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Electrocortical activity distinguishes between uphill and level walking in humans.
    Bradford JC; Lukos JR; Ferris DP
    J Neurophysiol; 2016 Feb; 115(2):958-66. PubMed ID: 26683062
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP.
    Winkler I; Debener S; Müller KR; Tangermann M
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4101-5. PubMed ID: 26737196
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A unified canonical correlation analysis-based framework for removing gradient artifact in concurrent EEG/fMRI recording and motion artifact in walking recording from EEG signal.
    Li J; Chen Y; Taya F; Lim J; Wong K; Sun Y; Bezerianos A
    Med Biol Eng Comput; 2017 Sep; 55(9):1669-1681. PubMed ID: 28185050
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Induction and separation of motion artifacts in EEG data using a mobile phantom head device.
    Oliveira AS; Schlink BR; Hairston WD; König P; Ferris DP
    J Neural Eng; 2016 Jun; 13(3):036014. PubMed ID: 27137818
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ICA-based reduction of electromyogenic artifacts in EEG data: comparison with and without EMG data.
    Gabsteiger F; Leutheuser H; Reis P; Lochmann M; Eskofier BM
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3861-4. PubMed ID: 25570834
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Walking reduces sensorimotor network connectivity compared to standing.
    Lau TM; Gwin JT; Ferris DP
    J Neuroeng Rehabil; 2014 Feb; 11():14. PubMed ID: 24524394
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.