BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

269 related articles for article (PubMed ID: 26736665)

  • 1. Automatic detection and removal of muscle artifacts from scalp EEG recordings in patients with epilepsy.
    Anastasiadou M; Christodoulakis M; Papathanasiou ES; Papacostas SS; Mitsis GD
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():1946-50. PubMed ID: 26736665
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests.
    Anastasiadou MN; Christodoulakis M; Papathanasiou ES; Papacostas SS; Mitsis GD
    Clin Neurophysiol; 2017 Sep; 128(9):1755-1769. PubMed ID: 28778057
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 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. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification.
    LeVan P; Urrestarazu E; Gotman J
    Clin Neurophysiol; 2006 Apr; 117(4):912-27. PubMed ID: 16458594
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram.
    De Clercq W; Vergult A; Vanrumste B; Van Paesschen W; Van Huffel S
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2583-7. PubMed ID: 17153216
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 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. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal.
    Roy V; Shukla S; Shukla PK; Rawat P
    J Healthc Eng; 2017; 2017():9674712. PubMed ID: 29118966
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal.
    Vergult A; De Clercq W; Palmini A; Vanrumste B; Dupont P; Van Huffel S; Van Paesschen W
    Epilepsia; 2007 May; 48(5):950-8. PubMed ID: 17381439
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Muscle and eye movement artifact removal prior to EEG source localization.
    Hallez H; Vergult A; Phlypo R; Van Hese P; De Clercq W; D'Asseler Y; Van de Walle R; Vanrumste B; Van Paesschen W; Van Huffel S; Lemahieu I
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1002-5. PubMed ID: 17945615
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. SADE3: an effective system for automated detection of epileptiform events in long-term EEG based on context information.
    Argoud FI; De Azevedo FM; Neto JM; Grillo E
    Med Biol Eng Comput; 2006 Jun; 44(6):459-70. PubMed ID: 16937197
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PureEEG: automatic EEG artifact removal for epilepsy monitoring.
    Hartmann MM; Schindler K; Gebbink TA; Gritsch G; Kluge T
    Neurophysiol Clin; 2014 Nov; 44(5):479-90. PubMed ID: 25438980
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold.
    Phadikar S; Sinha N; Ghosh R
    IEEE J Biomed Health Inform; 2021 Feb; 25(2):475-484. PubMed ID: 32750902
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved artefact removal from EEG using Canonical Correlation Analysis and spectral slope.
    Janani AS; Grummett TS; Lewis TW; Fitzgibbon SP; Whitham EM; DelosAngeles D; Bakhshayesh H; Willoughby JO; Pope KJ
    J Neurosci Methods; 2018 Mar; 298():1-15. PubMed ID: 29408174
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic detection and classification of artifacts in single-channel EEG.
    Olund T; Duun-Henriksen J; Kjaer TW; Sorensen HB
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():922-5. PubMed ID: 25570110
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.