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Journal Abstract Search

181 related items for PubMed ID: 36942628

  • 1. Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator.
    Shen CP, Freed BC, Walter DP, Perry JC, Barakat AF, Elashery ARA, Shah KS, Kutty S, McGillion M, Ng FS, Khedraki R, Nayak KR, Rogers JD, Bhavnani SP.
    J Am Heart Assoc; 2023 Apr 18; 12(8):e026974. PubMed ID: 36942628
    [Abstract] [Full Text] [Related]

  • 2. Deep Neural Network Approach for Continuous ECG-Based Automated External Defibrillator Shock Advisory System During Cardiopulmonary Resuscitation.
    Hajeb-M S, Cascella A, Valentine M, Chon KH.
    J Am Heart Assoc; 2021 Mar 16; 10(6):e019065. PubMed ID: 33663222
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  • 3. Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast Reconfirmation technology.
    Fumagalli F, Silver AE, Tan Q, Zaidi N, Ristagno G.
    Heart Rhythm; 2018 Feb 16; 15(2):248-255. PubMed ID: 28917561
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  • 4. Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms.
    Krasteva V, Ménétré S, Didon JP, Jekova I.
    Sensors (Basel); 2020 May 19; 20(10):. PubMed ID: 32438582
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  • 5. Assessment of emergency physicians' performance in identifying shockable rhythm in out-of-hospital cardiac arrest: an observational simulation study.
    Derkenne C, Jost D, Roquet F, Corpet P, Frattini B, Kedzierewicz R, Bellec G, Rajon B, Fernandez M, Loeb T, Pierantoni E, Lamblin A, Prunet B, Paris Fire Brigade Cardiac Arrest Task Force.
    Emerg Med J; 2022 May 19; 39(5):347-352. PubMed ID: 35172979
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  • 6. Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs.
    Nejad MPS, Kargin V, Hajeb-M S, Hicks D, Valentine M, Chon KH.
    Comput Biol Med; 2024 Apr 19; 172():108180. PubMed ID: 38452474
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  • 8. Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy.
    Krasteva V, Didon JP, Ménétré S, Jekova I.
    Sensors (Basel); 2023 May 05; 23(9):. PubMed ID: 37177703
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  • 10. Specificity and sensitivity of automated external defibrillator rhythm analysis in infants and children.
    Atkinson E, Mikysa B, Conway JA, Parker M, Christian K, Deshpande J, Knilans TK, Smith J, Walker C, Stickney RE, Hampton DR, Hazinski MF.
    Ann Emerg Med; 2003 Aug 05; 42(2):185-96. PubMed ID: 12883506
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  • 11. Antiarrhythmic Drugs for Nonshockable-Turned-Shockable Out-of-Hospital Cardiac Arrest: The ALPS Study (Amiodarone, Lidocaine, or Placebo).
    Kudenchuk PJ, Leroux BG, Daya M, Rea T, Vaillancourt C, Morrison LJ, Callaway CW, Christenson J, Ornato JP, Dunford JV, Wittwer L, Weisfeldt ML, Aufderheide TP, Vilke GM, Idris AH, Stiell IG, Colella MR, Kayea T, Egan D, Desvigne-Nickens P, Gray P, Gray R, Straight R, Dorian P, Resuscitation Outcomes Consortium Investigators.
    Circulation; 2017 Nov 28; 136(22):2119-2131. PubMed ID: 28904070
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  • 13. Optimization of End-to-End Convolutional Neural Networks for Analysis of Out-of-Hospital Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation.
    Jekova I, Krasteva V.
    Sensors (Basel); 2021 Jun 15; 21(12):. PubMed ID: 34203701
    [Abstract] [Full Text] [Related]

  • 14. Shock advisory system for heart rhythm analysis during cardiopulmonary resuscitation using a single ECG input of automated external defibrillators.
    Krasteva V, Jekova I, Dotsinsky I, Didon JP.
    Ann Biomed Eng; 2010 Apr 15; 38(4):1326-36. PubMed ID: 20069371
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  • 15. A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children.
    Irusta U, Ruiz J, Aramendi E, Ruiz de Gauna S, Ayala U, Alonso E.
    Resuscitation; 2012 Sep 15; 83(9):1090-7. PubMed ID: 22322285
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  • 17. Circulation assessment by automated external defibrillators during cardiopulmonary resuscitation.
    Ruiz JM, Ruiz de Gauna S, González-Otero DM, Saiz P, Gutiérrez JJ, Veintemillas JF, Bastida JM, Alonso D.
    Resuscitation; 2018 Jul 15; 128():158-163. PubMed ID: 29733921
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  • 18. A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions.
    Isasi I, Irusta U, Aramendi E, Ayala U, Alonso E, Kramer-Johansen J, Eftestol T.
    IEEE Trans Biomed Eng; 2019 Jan 15; 66(1):263-272. PubMed ID: 29993407
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  • 19. The performance of a new shock advisory algorithm to reduce interruptions during CPR.
    Hu Y, Tang H, Liu C, Jing D, Zhu H, Zhang Y, Yu X, Zhang G, Xu J.
    Resuscitation; 2019 Oct 15; 143():1-9. PubMed ID: 31377393
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  • 20. New Termination-of-Resuscitation Models and Prognostication in Out-of-Hospital Cardiac Arrest Using Electrocardiogram Rhythms Documented in the Field and the Emergency Department.
    Lee DE, Lee MJ, Ahn JY, Ryoo HW, Park J, Kim WY, Shin SD, Hwang SO, Korean Cardiac Arrest Research Consortium (KoCARC).
    J Korean Med Sci; 2019 May 06; 34(17):e134. PubMed ID: 31050224
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