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Journal Abstract Search

263 related items for PubMed ID: 17320800

  • 1. Irregularity test for very short electrocardiogram (ECG) signals as a method for predicting a successful defibrillation in patients with ventricular fibrillation.
    Jagric T, Marhl M, Stajer D, Kocjancic ST, Jagric T, Podbregar M, Perc M.
    Transl Res; 2007 Mar; 149(3):145-51. PubMed ID: 17320800
    [Abstract] [Full Text] [Related]

  • 2. [Analysis of ventricular fibrillation signals for the evaluation of defibrillation success in the treatment of ventricular fibrillation].
    Lederer W, Rheinberger K, Lischke V, Amann A.
    Anasthesiol Intensivmed Notfallmed Schmerzther; 2003 Dec; 38(12):787-94. PubMed ID: 14666442
    [Abstract] [Full Text] [Related]

  • 3. Detrended fluctuation analysis predicts successful defibrillation for out-of-hospital ventricular fibrillation cardiac arrest.
    Lin LY, Lo MT, Ko PC, Lin C, Chiang WC, Liu YB, Hu K, Lin JL, Chen WJ, Ma MH.
    Resuscitation; 2010 Mar; 81(3):297-301. PubMed ID: 20071067
    [Abstract] [Full Text] [Related]

  • 4. Shock outcome prediction before and after CPR: a comparative study of manual and automated active compression-decompression CPR.
    Box MS, Watson JN, Addison PS, Clegg GR, Robertson CE.
    Resuscitation; 2008 Sep; 78(3):265-74. PubMed ID: 18556109
    [Abstract] [Full Text] [Related]

  • 5. Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks.
    Neurauter A, Eftestøl T, Kramer-Johansen J, Abella BS, Sunde K, Wenzel V, Lindner KH, Eilevstjønn J, Myklebust H, Steen PA, Strohmenger HU.
    Resuscitation; 2007 May; 73(2):253-63. PubMed ID: 17287063
    [Abstract] [Full Text] [Related]

  • 6. [Hilbert transform analysis of the relation between ventricular fibrillation voltage and the outcome of defibrillation shocks].
    Wang K, Deng X, Guo R, Patwardhan A, Leonelli F.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Jun; 23(3):512-6. PubMed ID: 16856380
    [Abstract] [Full Text] [Related]

  • 7. Initial defibrillation versus initial chest compression in a 4-minute ventricular fibrillation canine model of cardiac arrest.
    Wang YL, Zhong JQ, Tao W, Hou XM, Meng XL, Zhang Y.
    Crit Care Med; 2009 Jul; 37(7):2250-2. PubMed ID: 19455026
    [Abstract] [Full Text] [Related]

  • 8. Removal of CPR artifacts from the ventricular fibrillation ECG by adaptive regression on lagged reference signals.
    Rheinberger K, Steinberger T, Unterkofler K, Baubin M, Klotz A, Amann A.
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):130-7. PubMed ID: 18232354
    [Abstract] [Full Text] [Related]

  • 9. CPR artifact removal from human ECG using optimal multichannel filtering.
    Aase SO, Eftestøl T, Husøy JH, Sunde K, Steen PA.
    IEEE Trans Biomed Eng; 2000 Nov; 47(11):1440-9. PubMed ID: 11077737
    [Abstract] [Full Text] [Related]

  • 10. Signal integral for optimizing the timing of defibrillation.
    Wu X, Bisera J, Tang W.
    Resuscitation; 2013 Dec; 84(12):1704-7. PubMed ID: 23969193
    [Abstract] [Full Text] [Related]

  • 11. A critical period of ventricular fibrillation more susceptible to defibrillation: real-time waveform analysis using a single ECG lead.
    Hsia PW, Frerk S, Allen CA, Wise RM, Cohen NM, Damiano RJ.
    Pacing Clin Electrophysiol; 1996 Apr; 19(4 Pt 1):418-30. PubMed ID: 8848389
    [Abstract] [Full Text] [Related]

  • 12. Improving countershock success prediction during cardiopulmonary resuscitation using ventricular fibrillation features from higher ECG frequency bands.
    Neurauter A, Eftestøl T, Kramer-Johansen J, Abella BS, Wenzel V, Lindner KH, Eilevstjønn J, Myklebust H, Steen PA, Sterz F, Jahn B, Strohmenger HU.
    Resuscitation; 2008 Dec; 79(3):453-9. PubMed ID: 18954929
    [Abstract] [Full Text] [Related]

  • 13. Minimal interruption of cardiopulmonary resuscitation for a single shock as mandated by automated external defibrillations does not compromise outcomes in a porcine model of cardiac arrest and resuscitation.
    Ristagno G, Tang W, Russell JK, Jorgenson D, Wang H, Sun S, Weil MH.
    Crit Care Med; 2008 Nov; 36(11):3048-53. PubMed ID: 18824916
    [Abstract] [Full Text] [Related]

  • 14. An algorithm used for ventricular fibrillation detection without interrupting chest compression.
    Li Y, Bisera J, Weil MH, Tang W.
    IEEE Trans Biomed Eng; 2012 Jan; 59(1):78-86. PubMed ID: 21342836
    [Abstract] [Full Text] [Related]

  • 15. Predicting defibrillation success by 'genetic' programming in patients with out-of-hospital cardiac arrest.
    Podbregar M, Kovacic M, Podbregar-Mars A, Brezocnik M.
    Resuscitation; 2003 May; 57(2):153-9. PubMed ID: 12745183
    [Abstract] [Full Text] [Related]

  • 16. [Hurst index based analysis of ventricular tachycardia and ventricular fibrillation].
    Zhu L, Wang J.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1229-32. PubMed ID: 21374969
    [Abstract] [Full Text] [Related]

  • 17. Predicting defibrillation success.
    Strohmenger HU.
    Curr Opin Crit Care; 2008 Jun; 14(3):311-6. PubMed ID: 18467892
    [Abstract] [Full Text] [Related]

  • 18. Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods.
    Watson JN, Uchaipichat N, Addison PS, Clegg GR, Robertson CE, Eftestol T, Steen PA.
    Resuscitation; 2004 Dec; 63(3):269-75. PubMed ID: 15582761
    [Abstract] [Full Text] [Related]

  • 19. Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes.
    Shandilya S, Kurz MC, Ward KR, Najarian K.
    PLoS One; 2016 Dec; 11(1):e0141313. PubMed ID: 26741805
    [Abstract] [Full Text] [Related]

  • 20. Shock outcome is related to prior rhythm and duration of ventricular fibrillation.
    Eilevstjønn J, Kramer-Johansen J, Sunde K.
    Resuscitation; 2007 Oct; 75(1):60-7. PubMed ID: 17467139
    [Abstract] [Full Text] [Related]

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