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 *

107 related articles for article (PubMed ID: 22254602)

  • 1. Automatic detection of CAP on central and fronto-central EEG leads via Support Vector Machines.
    Mariani S; Grassi A; Mendez MO; Parrino L; Terzano MG; Bianchi AM
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1491-4. PubMed ID: 22254602
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiclass support vector machines for EEG-signals classification.
    Güler I; Ubeyli ED
    IEEE Trans Inf Technol Biomed; 2007 Mar; 11(2):117-26. PubMed ID: 17390982
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.
    Lachner-Piza D; Epitashvili N; Schulze-Bonhage A; Stieglitz T; Jacobs J; Dümpelmann M
    J Neurosci Methods; 2018 Mar; 297():31-43. PubMed ID: 29291925
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects.
    Wendt SL; Christensen JA; Kempfner J; Leonthin HL; Jennum P; Sorensen HB
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4250-3. PubMed ID: 23366866
    [TBL] [Abstract][Full Text] [Related]  

  • 5. LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM.
    Zhang T; Chen W
    IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1100-1108. PubMed ID: 27662677
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine.
    Cao C; Tutwiler RL; Slobounov S
    IEEE Trans Neural Syst Rehabil Eng; 2008 Aug; 16(4):327-35. PubMed ID: 18701381
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimized feature subsets for epileptic seizure prediction studies.
    Direito B; Ventura F; Teixeira C; Dourado A
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1636-9. PubMed ID: 22254637
    [TBL] [Abstract][Full Text] [Related]  

  • 8. EEG segmentation for improving automatic CAP detection.
    Mariani S; Grassi A; Mendez MO; Milioli G; Parrino L; Terzano MG; Bianchi AM
    Clin Neurophysiol; 2013 Sep; 124(9):1815-23. PubMed ID: 23643311
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-Performance Seizure Detection System Using a Wavelet-Approximate Entropy-fSVM Cascade With Clinical Validation.
    Shen CP; Chen CC; Hsieh SL; Chen WH; Chen JM; Chen CM; Lai F; Chiu MJ
    Clin EEG Neurosci; 2013 Oct; 44(4):247-56. PubMed ID: 23610456
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An efficient automatic arousals detection algorithm in single channel EEG.
    Ugur TK; Erdamar A
    Comput Methods Programs Biomed; 2019 May; 173():131-138. PubMed ID: 31046987
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Patient prognosis based on feature extraction, selection and classification of EEG periodic activity.
    Sánchez-González A; García-Zapirain B; Maestro Saiz I; Yurrebaso Santamaría I
    Biomed Mater Eng; 2015; 26 Suppl 1():S1569-78. PubMed ID: 26405922
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.
    Lin LC; Chen SC; Chiang CT; Wu HC; Yang RC; Ouyang CS
    Clin EEG Neurosci; 2017 Mar; 48(2):139-145. PubMed ID: 27177554
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic identification of epileptic electroencephalography signals using higher-order spectra.
    Chua KC; Chandran V; Acharya UR; Lim CM
    Proc Inst Mech Eng H; 2009 May; 223(4):485-95. PubMed ID: 19499838
    [TBL] [Abstract][Full Text] [Related]  

  • 14. EEG feature selection using mutual information and support vector machine: A comparative analysis.
    Guerrero-Mosquera C; Verleysen M; Vazquez AN
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4946-9. PubMed ID: 21096669
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.
    Mariani S; Manfredini E; Rosso V; Grassi A; Mendez MO; Alba A; Matteucci M; Parrino L; Terzano MG; Cerutti S; Bianchi AM
    Med Biol Eng Comput; 2012 Apr; 50(4):359-72. PubMed ID: 22430617
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.
    Mumtaz W; Saad MNBM; Kamel N; Ali SSA; Malik AS
    Artif Intell Med; 2018 Jan; 84():79-89. PubMed ID: 29169647
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic K-complexes detection in sleep EEG recordings using likelihood thresholds.
    Devuyst S; Dutoit T; Stenuit P; Kerkhofs M
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4658-61. PubMed ID: 21096240
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
    Acir N; Oztura I; Kuntalp M; Baklan B; Güzeliş C
    IEEE Trans Biomed Eng; 2005 Jan; 52(1):30-40. PubMed ID: 15651562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dynamic time warping based neonatal seizure detection system.
    Ahmed R; Temko A; Marnane W; Boylan G; Lighbody G
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4919-22. PubMed ID: 23367031
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-time epileptic seizure prediction using AR models and support vector machines.
    Chisci L; Mavino A; Perferi G; Sciandrone M; Anile C; Colicchio G; Fuggetta F
    IEEE Trans Biomed Eng; 2010 May; 57(5):1124-32. PubMed ID: 20172805
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.