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 *

180 related articles for article (PubMed ID: 28241963)

  • 1. Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning.
    Mjahad A; Rosado-Muñoz A; Bataller-Mompeán M; Francés-Víllora JV; Guerrero-Martínez JF
    Comput Methods Programs Biomed; 2017 Apr; 141():119-127. PubMed ID: 28241963
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ventricular fibrillation and tachycardia classification using a machine learning approach.
    Li Q; Rajagopalan C; Clifford GD
    IEEE Trans Biomed Eng; 2014 Jun; 61(6):1607-13. PubMed ID: 23899591
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals.
    Hajeb-Mohammadalipour S; Ahmadi M; Shahghadami R; Chon KH
    Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29966276
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Methods for Improved Discrimination Between Ventricular Fibrillation and Tachycardia.
    Alwan Y; Cvetkovic Z; Curtis MJ
    IEEE Trans Biomed Eng; 2018 Oct; 65(10):2143-2151. PubMed ID: 29989947
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition.
    Tripathy RK; Sharma LN; Dandapat S
    J Med Syst; 2016 Apr; 40(4):79. PubMed ID: 26798076
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of life-threatening arrhythmias using feature selection and support vector machines.
    Alonso-Atienza F; Morgado E; Fernández-Martínez L; García-Alberola A; Rojo-Álvarez JL
    IEEE Trans Biomed Eng; 2014 Mar; 61(3):832-40. PubMed ID: 24239968
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of ventricular fibrillation and tachycardia from the surface ECG by a set of parameters acquired from four methods.
    Jekova I; Mitev P
    Physiol Meas; 2002 Nov; 23(4):629-34. PubMed ID: 12450264
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Visual data mining with self-organising maps for ventricular fibrillation analysis.
    Rosado-Muñoz A; Martínez-Martínez JM; Escandell-Montero P; Soria-Olivas E
    Comput Methods Programs Biomed; 2013 Aug; 111(2):269-79. PubMed ID: 23773559
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Feature Learning for Sudden Cardiac Arrest Detection in Automated External Defibrillators.
    Nguyen MT; Nguyen BV; Kim K
    Sci Rep; 2018 Nov; 8(1):17196. PubMed ID: 30464177
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tachycardia detection performance of implantable loop recorders: results from a large 'real-life' patient cohort and patients with induced ventricular arrhythmias.
    Volosin K; Stadler RW; Wyszynski R; Kirchhof P
    Europace; 2013 Aug; 15(8):1215-22. PubMed ID: 23439867
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Real time detection of ventricular fibrillation and tachycardia.
    Jekova I; Krasteva V
    Physiol Meas; 2004 Oct; 25(5):1167-78. PubMed ID: 15535182
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm.
    Thakor NV; Zhu YS; Pan KY
    IEEE Trans Biomed Eng; 1990 Sep; 37(9):837-43. PubMed ID: 2227970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Life-threatening ventricular arrhythmia recognition by nonlinear descriptor.
    Sun Y; Chan KL; Krishnan SM
    Biomed Eng Online; 2005 Jan; 4():6. PubMed ID: 15667654
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.
    Picon A; Irusta U; Álvarez-Gila A; Aramendi E; Alonso-Atienza F; Figuera C; Ayala U; Garrote E; Wik L; Kramer-Johansen J; Eftestøl T
    PLoS One; 2019; 14(5):e0216756. PubMed ID: 31107876
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High amplitude T-wave alternans precedes spontaneous ventricular tachycardia or fibrillation in ICD electrograms.
    Swerdlow CD; Zhou X; Voroshilovsky O; Abeyratne A; Gillberg J
    Heart Rhythm; 2008 May; 5(5):670-6. PubMed ID: 18452868
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ventricular fibrillation detection by autocorrelation function peak analysis.
    Guillén SG; Arredondo MT; Martin G; Ferrero Corral JM
    J Electrocardiol; 1989; 22 Suppl():253-62. PubMed ID: 2614311
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sequential algorithm for the detection of the shockable rhythms in electrocardiogram.
    Jeong JW; Lee IB; Song Y; Jang Y; Noh HW; Lee S
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5082-5. PubMed ID: 23367071
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of ventricular tachycardia and fibrillation using ECG processing and intramyocardial pressure gradients.
    Aubert AE; Denys BG; Ector H; De Geest H
    Pacing Clin Electrophysiol; 1986 Nov; 9(6):1084-8. PubMed ID: 2432513
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An arrhythmia classification system based on the RR-interval signal.
    Tsipouras MG; Fotiadis DI; Sideris D
    Artif Intell Med; 2005 Mar; 33(3):237-50. PubMed ID: 15811788
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.