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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

250 related items for PubMed ID: 19039164

  • 1. A novel application of the S-transform in removing powerline interference from biomedical signals.
    Huang CC, Liang SF, Young MS, Shaw FZ.
    Physiol Meas; 2009 Jan; 30(1):13-27. PubMed ID: 19039164
    [Abstract] [Full Text] [Related]

  • 2. Real time implementation of genetic algorithm cancellation of sinusoidal noise in ECG using TMS320C50 DSP processor.
    Kumaravel N, Viswanathan SM.
    Biomed Sci Instrum; 1999 Jan; 35():169-74. PubMed ID: 11143342
    [Abstract] [Full Text] [Related]

  • 3. Subtraction procedure for powerline interference removing from ECG: improvement for non-multiple sampling.
    Mihov G, Dotsinsky IV, Georgieva TS.
    J Med Eng Technol; 2005 Jan; 29(5):238-43. PubMed ID: 16126585
    [Abstract] [Full Text] [Related]

  • 4. Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals.
    Ferdjallah M, Barr RE.
    IEEE Trans Biomed Eng; 1994 Jun; 41(6):529-36. PubMed ID: 7927372
    [Abstract] [Full Text] [Related]

  • 5. An improved adaptive power line interference canceller for electrocardiography.
    Martens SM, Mischi M, Oei SG, Bergmans JW.
    IEEE Trans Biomed Eng; 2006 Nov; 53(11):2220-31. PubMed ID: 17073327
    [Abstract] [Full Text] [Related]

  • 6. A method for reduction of power line interference in the ECG.
    Mitov IP.
    Med Eng Phys; 2004 Dec; 26(10):879-87. PubMed ID: 15567704
    [Abstract] [Full Text] [Related]

  • 7. The effect of 50/60 Hz notch filter application on human and rat ECG recordings.
    Vale-Cardoso AS, Guimarães HN.
    Physiol Meas; 2010 Jan; 31(1):45-58. PubMed ID: 19940344
    [Abstract] [Full Text] [Related]

  • 8. [The algorithm based on wavelet for canceling muscle electricity and wide range frequency of power line hum in ECG].
    Zhao J, Hua M.
    Space Med Med Eng (Beijing); 2004 Jun; 17(3):224-8. PubMed ID: 15920849
    [Abstract] [Full Text] [Related]

  • 9. A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG.
    Hamilton PS.
    IEEE Trans Biomed Eng; 1996 Jan; 43(1):105-9. PubMed ID: 8567001
    [Abstract] [Full Text] [Related]

  • 10. Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering.
    Singh O, Sunkaria RK.
    J Med Eng Technol; 2015 Jan; 39(1):60-8. PubMed ID: 25412942
    [Abstract] [Full Text] [Related]

  • 11. Integrating the ECG power-line interference removal methods with rule-based system.
    Kumaravel N, Senthil A, Sridhar KS, Nithiyanandam N.
    Biomed Sci Instrum; 1995 Jan; 31():115-20. PubMed ID: 7654947
    [Abstract] [Full Text] [Related]

  • 12. Power-line interference detection and suppression in ECG signal processing.
    Lin YD, Hu YH.
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):354-7. PubMed ID: 18232382
    [Abstract] [Full Text] [Related]

  • 13. Subtraction of 16.67 Hz railroad net interference from the electrocardiogram: application for automatic external defibrillators.
    Jekova I, Krasteva V.
    Physiol Meas; 2005 Dec; 26(6):987-1003. PubMed ID: 16311447
    [Abstract] [Full Text] [Related]

  • 14. Digital Butterworth filter for subtracting noise from low magnitude surface electromyogram.
    Mello RG, Oliveira LF, Nadal J.
    Comput Methods Programs Biomed; 2007 Jul; 87(1):28-35. PubMed ID: 17548125
    [Abstract] [Full Text] [Related]

  • 15. A comparison of the noise sensitivity of nine QRS detection algorithms.
    Friesen GM, Jannett TC, Jadallah MA, Yates SL, Quint SR, Nagle HT.
    IEEE Trans Biomed Eng; 1990 Jan; 37(1):85-98. PubMed ID: 2303275
    [Abstract] [Full Text] [Related]

  • 16. A nonlinear adaptive method of elimination of power line interference in ECG signals.
    Ziarani AK, Konrad A.
    IEEE Trans Biomed Eng; 2002 Jun; 49(6):540-7. PubMed ID: 12046699
    [Abstract] [Full Text] [Related]

  • 17. [Research on electrocardiogram de-noising algorithm based on wavelet neural networks].
    Wan X, Zhang J.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1197-201. PubMed ID: 21374962
    [Abstract] [Full Text] [Related]

  • 18. Alignment methods for averaging of high-resolution cardiac signals: a comparative study of performance.
    Jané R, Rix H, Caminal P, Laguna P.
    IEEE Trans Biomed Eng; 1991 Jun; 38(6):571-9. PubMed ID: 1879846
    [Abstract] [Full Text] [Related]

  • 19. Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings.
    Mateo J, Rieta JJ.
    J Med Eng Technol; 2012 Feb; 36(2):90-101. PubMed ID: 22268996
    [Abstract] [Full Text] [Related]

  • 20. [Fast elimination of 50-Hz noise in PC-based application system].
    Li BF, Yin BS, Yu DK.
    Di Yi Jun Yi Da Xue Xue Bao; 2002 Dec; 22(12):1131-2. PubMed ID: 12480596
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 13.