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Journal Abstract Search

283 related items for PubMed ID: 7927372

  • 41. Adaptive filtering for ECG rejection from surface EMG recordings.
    Marque C, Bisch C, Dantas R, Elayoubi S, Brosse V, Pérot C.
    J Electromyogr Kinesiol; 2005 Jun; 15(3):310-5. PubMed ID: 15763678
    [Abstract] [Full Text] [Related]

  • 42. [Electroencephalography inverse problem by subspace decomposition of the fourth-order cumulant matrix].
    Yao D.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2000 Jun; 17(2):174-8. PubMed ID: 12557774
    [Abstract] [Full Text] [Related]

  • 43. Active mechanical noise cancellation scanning tunneling microscope.
    Liu H, Meng Y, Zhao HW, Chen DM.
    Rev Sci Instrum; 2007 Jul; 78(7):073705. PubMed ID: 17672764
    [Abstract] [Full Text] [Related]

  • 44. Two new algorithms for tracking arterial parameters in nonstationary noise conditions.
    Avanzolini G, Barbini P, Cappello A, Cevenini G.
    IEEE Trans Biomed Eng; 1995 Mar; 42(3):313-7. PubMed ID: 7698787
    [Abstract] [Full Text] [Related]

  • 45. Digital filtering of EMG-signals.
    Zschorlich VR.
    Electromyogr Clin Neurophysiol; 1989 Mar; 29(2):81-6. PubMed ID: 2707144
    [Abstract] [Full Text] [Related]

  • 46. Adaptive bilateral filter for sharpness enhancement and noise removal.
    Zhang B, Allebach JP.
    IEEE Trans Image Process; 2008 May; 17(5):664-78. PubMed ID: 18390373
    [Abstract] [Full Text] [Related]

  • 47. Ideal filtering approach on DCT domain for biomedical signals: index blocked DCT filtering method (IB-DCTFM).
    Shin HS, Lee C, Lee M.
    J Med Syst; 2010 Aug; 34(4):741-53. PubMed ID: 20703930
    [Abstract] [Full Text] [Related]

  • 48. [Digital filter for circuit noise suppression in the electrocardiograph].
    Lebedeva SV, Lebedev VV.
    Med Tekh; 1995 Aug; (5):23-5. PubMed ID: 8618529
    [Abstract] [Full Text] [Related]

  • 49. An Adaptive Filter for the Removal of Drifting Sinusoidal Noise Without a Reference.
    Kelly JW, Siewiorek DP, Smailagic A, Wang W.
    IEEE J Biomed Health Inform; 2016 Jan; 20(1):213-21. PubMed ID: 25474814
    [Abstract] [Full Text] [Related]

  • 50. A comparison of adaptive and notch filtering for removing electromagnetic noise from monopolar surface electromyographic signals.
    Beck TW, DeFreitas JM, Cramer JT, Stout JR.
    Physiol Meas; 2009 Apr; 30(4):353-61. PubMed ID: 19242048
    [Abstract] [Full Text] [Related]

  • 51. The removal of EMG in EEG by neural networks.
    Chen Y, Akutagawa M, Emoto T, Kinouchi Y.
    Physiol Meas; 2010 Dec; 31(12):1567-84. PubMed ID: 20980716
    [Abstract] [Full Text] [Related]

  • 52. 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]

  • 53. Development of a non-linear smoothing filter for the processing of eye-movement signals.
    Engelken EJ, Stevens KW, Enderle JD.
    Biomed Sci Instrum; 1990 Jan; 26():5-10. PubMed ID: 2334779
    [Abstract] [Full Text] [Related]

  • 54. Real-time digital median frequency estimator for surface myoelectric signals.
    Pratt AJ, Gander RE, Brandell BR.
    IEEE Trans Biomed Eng; 1991 Mar; 38(3):306-9. PubMed ID: 2066147
    [Abstract] [Full Text] [Related]

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  • 56. Optimization of an adaptive nonlinear filter for the analysis of nystagmus.
    Engelken EJ, Stevens KW, Enderle JD.
    Biomed Sci Instrum; 1991 Mar; 27():163-70. PubMed ID: 2065151
    [Abstract] [Full Text] [Related]

  • 57. [Adaptive removal of motion artifact from ECG based on impedance detection].
    Lin S, Lai L, Wu X.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Jun; 27(3):529-32, 543. PubMed ID: 20649012
    [Abstract] [Full Text] [Related]

  • 58.
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  • 60. Characterization and elimination of AC noise in electrocardiograms: a comparison of digital filtering methods.
    McManus CD, Neubert KD, Cramer E.
    Comput Biomed Res; 1993 Feb; 26(1):48-67. PubMed ID: 8444027
    [Abstract] [Full Text] [Related]

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