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 *

70 related articles for article (PubMed ID: 20667813)

  • 1. Time-frequency analysis of accelerometry data for detection of myoclonic seizures.
    Nijsen TM; Aarts RM; Cluitmans PJ; Griep PA
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1197-203. PubMed ID: 20667813
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting movement-related EEG change by wavelet decomposition-based neural networks trained with single thumb movement.
    Chen CW; Lin CC; Ju MS
    Clin Neurophysiol; 2007 Apr; 118(4):802-14. PubMed ID: 17317306
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated detection of videotaped neonatal seizures of epileptic origin.
    Karayiannis NB; Xiong Y; Tao G; Frost JD; Wise MS; Hrachovy RA; Mizrahi EM
    Epilepsia; 2006 Jun; 47(6):966-80. PubMed ID: 16822243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated detection of videotaped neonatal seizures based on motion segmentation methods.
    Karayiannis NB; Tao G; Frost JD; Wise MS; Hrachovy RA; Mizrahi EM
    Clin Neurophysiol; 2006 Jul; 117(7):1585-94. PubMed ID: 16684619
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
    Tito M; Cabrerizo M; Ayala M; Jayakar P; Adjouadi M
    J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A continuous wavelet transform and classification method for delirium motoric subtyping.
    Godfrey A; Conway R; Leonard M; Meagher D; Olaighin GM
    IEEE Trans Neural Syst Rehabil Eng; 2009 Jun; 17(3):298-307. PubMed ID: 19497833
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models.
    Allen FR; Ambikairajah E; Lovell NH; Celler BG
    Physiol Meas; 2006 Oct; 27(10):935-51. PubMed ID: 16951454
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using the discrete wavelet transform for time-frequency analysis of the surface EMG signal.
    Constable R; Thornhill RJ
    Biomed Sci Instrum; 1993; 29():121-7. PubMed ID: 8329582
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computerized motion analysis of videotaped neonatal seizures of epileptic origin.
    Karayiannis NB; Tao G; Xiong Y; Sami A; Varughese B; Frost JD; Wise MS; Mizrahi EM
    Epilepsia; 2005 Jun; 46(6):901-17. PubMed ID: 15946330
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Gaussian mixture models of ECoG signal features for improved detection of epileptic seizures.
    Meng L; Frei MG; Osorio I; Strang G; Nguyen TQ
    Med Eng Phys; 2004 Jun; 26(5):379-93. PubMed ID: 15147746
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application.
    Kiymik MK; Güler I; Dizibüyük A; Akin M
    Comput Biol Med; 2005 Oct; 35(7):603-16. PubMed ID: 15809098
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of EEG signals using neural network and logistic regression.
    Subasi A; Erçelebi E
    Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting time-dependent coherence between non-stationary electrophysiological signals--a combined statistical and time-frequency approach.
    Zhan Y; Halliday D; Jiang P; Liu X; Feng J
    J Neurosci Methods; 2006 Sep; 156(1-2):322-32. PubMed ID: 16563517
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computerized heart sounds analysis.
    Debbal SM; Bereksi-Reguig F
    Comput Biol Med; 2008 Feb; 38(2):263-80. PubMed ID: 18037395
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classifier models and architectures for EEG-based neonatal seizure detection.
    Greene BR; Marnane WP; Lightbody G; Reilly RB; Boylan GB
    Physiol Meas; 2008 Oct; 29(10):1157-78. PubMed ID: 18799836
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Wavelet-based fractal features with active segment selection: application to single-trial EEG data.
    Hsu WY; Lin CC; Ju MS; Sun YN
    J Neurosci Methods; 2007 Jun; 163(1):145-60. PubMed ID: 17379316
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG-based motor imagery analysis using weighted wavelet transform features.
    Hsu WY; Sun YN
    J Neurosci Methods; 2009 Jan; 176(2):310-8. PubMed ID: 18848844
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Model for arm movements during myoclonic seizures.
    Nijsen TM; Aarts RM; Arends JB; Cluitmans PJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1582-5. PubMed ID: 18002273
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The applications of time-frequency analyses to ictal magnetoencephalography in neocortical epilepsy.
    Yagyu K; Takeuchi F; Shiraishi H; Nakane S; Sueda K; Asahina N; Kohsaka S; Umeoka S; Usui N; Baba K; Saitoh S
    Epilepsy Res; 2010 Aug; 90(3):199-206. PubMed ID: 20605700
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The t-CWT: a new ERP detection and quantification method based on the continuous wavelet transform and Student's t-statistics.
    Bostanov V; Kotchoubey B
    Clin Neurophysiol; 2006 Dec; 117(12):2627-44. PubMed ID: 17030012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.