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 *

205 related articles for article (PubMed ID: 16686410)

  • 1. Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines.
    Georgoulas G; Stylios CD; Groumpos PP
    IEEE Trans Biomed Eng; 2006 May; 53(5):875-84. PubMed ID: 16686410
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Entropy-based automated classification of independent components separated from fMCG.
    Comani S; Srinivasan V; Alleva G; Romani GL
    Phys Med Biol; 2007 Mar; 52(5):N87-97. PubMed ID: 17301449
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings.
    Signorini MG; Magenes G; Cerutti S; Arduini D
    IEEE Trans Biomed Eng; 2003 Mar; 50(3):365-74. PubMed ID: 12669993
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A method for the automatic reconstruction of fetal cardiac signals from magnetocardiographic recordings.
    Mantini D; Alleva G; Comani S
    Phys Med Biol; 2005 Oct; 50(20):4763-81. PubMed ID: 16204871
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A robust fetal ECG detection method for abdominal recordings.
    Martens SM; Rabotti C; Mischi M; Sluijter RJ
    Physiol Meas; 2007 Apr; 28(4):373-88. PubMed ID: 17395993
    [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. An application of symbolic dynamics for FHRV assessment.
    Cesarelli M; Romano M; Bifulco P; Improta G; D'Addio G
    Stud Health Technol Inform; 2012; 180():123-7. PubMed ID: 22874165
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel technique for the extraction of fetal ECG using polynomial networks.
    Assaleh K; Al-Nashash H
    IEEE Trans Biomed Eng; 2005 Jun; 52(6):1148-52. PubMed ID: 15977746
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison and evaluation of existing methods for the extraction of low amplitude electrocardiographic signals: a possible approach to transabdominal fetal ECG.
    Ungureanu GM; Bergmans JW; Oei SG; Ungureanu A; Wolf W
    Biomed Tech (Berl); 2009 Apr; 54(2):66-75. PubMed ID: 19290851
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fetal ECG extraction during labor using an adaptive maternal beat subtraction technique.
    Ungureanu M; Bergmans JW; Oei SG; Strungaru R
    Biomed Tech (Berl); 2007 Feb; 52(1):56-60. PubMed ID: 17313335
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fetal magnetocardiographic signals extracted by 'signal subspace' blind source separation.
    Salustri C; Barbati G; Porcaro C
    IEEE Trans Biomed Eng; 2005 Jun; 52(6):1140-2. PubMed ID: 15977744
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distress.
    Ferrario M; Signorini MG; Magenes G; Cerutti S
    IEEE Trans Biomed Eng; 2006 Jan; 53(1):119-25. PubMed ID: 16402611
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Extraction of fetal heart-rate signal as the time event series from evenly sampled data acquired using Doppler ultrasound technique.
    Jezewski J; Kupka T; Horoba K
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):805-10. PubMed ID: 18270022
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [A new monitoring method for safer child delivery. Lower number of metabolic acidosis cases with fetal ECG and cardiotocography].
    Hagberg H; Amer-Wåhlin I; Herbst A; Lilja H; Norén H; Olofsson P; Marsál K
    Lakartidningen; 2004 Nov; 101(48):3875-6, 3878, 3880-1. PubMed ID: 15631221
    [No Abstract]   [Full Text] [Related]  

  • 15. New approach to quantitative description of deceleration of fetal heart rate for the patterns classification.
    Labaj P; Jezewski M; Matonia A; Kupka T; Jezewski J; Gacek A
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3156-9. PubMed ID: 18002665
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Support vector machine-based expert system for reliable heartbeat recognition.
    Osowski S; Hoai LT; Markiewicz T
    IEEE Trans Biomed Eng; 2004 Apr; 51(4):582-9. PubMed ID: 15072212
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Heart rate variability in the fetus: a comparison of measures.
    Van Leeuwen P; Lange S; Geue D; Grönemeyer D
    Biomed Tech (Berl); 2007 Feb; 52(1):61-5. PubMed ID: 17313336
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic detection of cardiac waves on fetal magnetocardiographic signals.
    Comani S; Mantini D; Alleva G; Di Luzio S; Romani GL
    Physiol Meas; 2005 Aug; 26(4):459-75. PubMed ID: 15886441
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings.
    Khandoker AH; Palaniswami M; Karmakar CK
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):37-48. PubMed ID: 19129022
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines.
    Derya Ubeyli E
    Comput Biol Med; 2008 Jan; 38(1):14-22. PubMed ID: 17651716
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.