BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 19758851)

  • 1. Robust detection of premature ventricular contractions using a wave-based Bayesian framework.
    Sayadi O; Shamsollahi MB; Clifford GD
    IEEE Trans Biomed Eng; 2010 Feb; 57(2):353-62. PubMed ID: 19758851
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian Classification Models for Premature Ventricular Contraction Detection on ECG Traces.
    Casas MM; Avitia RL; Gonzalez-Navarro FF; Cardenas-Haro JA; Reyna MA
    J Healthc Eng; 2018; 2018():2694768. PubMed ID: 29861881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PVC arrhythmia classification based on fractional order system modeling.
    Assadi I; Charef A; Bensouici T
    Biomed Tech (Berl); 2021 Aug; 66(4):363-373. PubMed ID: 33606930
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust neural-network-based classification of premature ventricular contractions using wavelet transform and timing interval features.
    Inan OT; Giovangrandi L; Kovacs GT
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2507-15. PubMed ID: 17153208
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Life-threatening arrhythmia verification in ICU patients using the joint cardiovascular dynamical model and a Bayesian filter.
    Sayadi O; Shamsollahi MB
    IEEE Trans Biomed Eng; 2011 Oct; 58(10):2748-57. PubMed ID: 21324772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Premature Ventricular beat classification using a dynamic Bayesian Network.
    de Oliveira LS; AndreĆ£o RV; Sarcinelli-Filho M
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():4984-7. PubMed ID: 22255457
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the detection of Premature Ventricular Contractions.
    Couceiro R; Carvalho P; Henriques J; Antunes M
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1087-91. PubMed ID: 19162852
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dictionary-based monitoring of premature ventricular contractions: An ultra-low-cost point-of-care service.
    Bollepalli SC; Challa SS; Anumandla L; Jana S
    Artif Intell Med; 2018 May; 87():91-104. PubMed ID: 29705553
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks.
    Christov I; Bortolan G
    Physiol Meas; 2004 Oct; 25(5):1281-90. PubMed ID: 15535192
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of premature ventricular contractions using the RR-interval signal: a simple algorithm for mobile devices.
    Cuesta P; Lado MJ; Vila XA; Alonso R
    Technol Health Care; 2014; 22(4):651-6. PubMed ID: 24898863
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Premature beats detection based on a novel convolutional neural network.
    Yang J; Cai W; Wang M
    Physiol Meas; 2021 Jul; 42(7):. PubMed ID: 34167103
    [No Abstract]   [Full Text] [Related]  

  • 12. An efficient method for ectopic beats cancellation based on radial basis function.
    Mateo J; Torres A; Rieta JJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6947-50. PubMed ID: 22255936
    [TBL] [Abstract][Full Text] [Related]  

  • 13. P wave detection in ECG signals using an extended Kalman filter: an evaluation in different arrhythmia contexts.
    Rahimpour M; Mohammadzadeh Asl B
    Physiol Meas; 2016 Jul; 37(7):1089-104. PubMed ID: 27321699
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated patient-specific classification of premature ventricular contractions.
    Ince T; Kiranyaz S; Gabbouj M
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5474-7. PubMed ID: 19163956
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Premature ventricular contraction detection combining deep neural networks and rules inference.
    Zhou FY; Jin LP; Dong J
    Artif Intell Med; 2017 Jun; 79():42-51. PubMed ID: 28662816
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm.
    Malek AS; Elnahrawy A; Anwar H; Naeem M
    Biomed Phys Eng Express; 2020 Jan; 6(1):015024. PubMed ID: 33438612
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of premature ventricular complexes using filter bank features, induction of decision trees and a fuzzy rule-based system.
    Wieben O; Afonso VX; Tompkins WJ
    Med Biol Eng Comput; 1999 Sep; 37(5):560-5. PubMed ID: 10723892
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of premature ventricular beats in ECG records using bayesian networks involving the P-Wave and fusion of results.
    de Oliveira LS; Andreao RV; Sarcinelli-Filho M
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1131-4. PubMed ID: 21096323
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approach.
    Wiens J; Guttag JV
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5876-9. PubMed ID: 22255676
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.
    Yang J; Bai Y; Li G; Liu M; Liu X
    Biomed Mater Eng; 2015; 26 Suppl 1():S1549-58. PubMed ID: 26405919
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.