112 related articles for article (PubMed ID: 21574910)
1. Evolving neural networks using a genetic algorithm for heartbeat classification.
Sekkal M; Chikh MA; Settouti N
J Med Eng Technol; 2011 Jul; 35(5):215-23. PubMed ID: 21574910
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.
Liu X; Du H; Wang G; Zhou S; Zhang H
Comput Methods Programs Biomed; 2015 Oct; 122(1):47-55. PubMed ID: 26198132
[TBL] [Abstract][Full Text] [Related]
4. Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms.
Ferentinos KP
Neural Netw; 2005 Sep; 18(7):934-50. PubMed ID: 15963690
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Neural system for heartbeats recognition using genetically integrated ensemble of classifiers.
Osowski S; Siwek K; Siroic R
Comput Biol Med; 2011 Mar; 41(3):173-80. PubMed ID: 21315326
[TBL] [Abstract][Full Text] [Related]
8. Classification of cardiac arrhythmias using fuzzy ARTMAP.
Ham FM; Han S
IEEE Trans Biomed Eng; 1996 Apr; 43(4):425-30. PubMed ID: 8626192
[TBL] [Abstract][Full Text] [Related]
9. PVC discrimination using the QRS power spectrum and self-organizing maps.
Talbi ML; Charef A
Comput Methods Programs Biomed; 2009 Jun; 94(3):223-31. PubMed ID: 19215994
[TBL] [Abstract][Full Text] [Related]
10. A fuzzy clustering neural network architecture for classification of ECG arrhythmias.
Ozbay Y; Ceylan R; Karlik B
Comput Biol Med; 2006 Apr; 36(4):376-88. PubMed ID: 15878480
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Redefining performance evaluation tools for real-time QRS complex classification systems.
Ravier P; Leclerc F; Dumez-Viou C; Lamarque G
IEEE Trans Biomed Eng; 2007 Sep; 54(9):1706-10. PubMed ID: 17867364
[TBL] [Abstract][Full Text] [Related]
13. Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.
Christov I; Gómez-Herrero G; Krasteva V; Jekova I; Gotchev A; Egiazarian K
Med Eng Phys; 2006 Nov; 28(9):876-87. PubMed ID: 16476566
[TBL] [Abstract][Full Text] [Related]
14. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
Asl BM; Setarehdan SK; Mohebbi M
Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
[TBL] [Abstract][Full Text] [Related]
15. [Heartbeat-based end-to-end classification of arrhythmias].
Deng L; Fu R
Nan Fang Yi Ke Da Xue Xue Bao; 2019 Sep; 39(9):1071-1077. PubMed ID: 31640959
[TBL] [Abstract][Full Text] [Related]
16. Classification of the electrocardiogram signals using supervised classifiers and efficient features.
Zadeh AE; Khazaee A; Ranaee V
Comput Methods Programs Biomed; 2010 Aug; 99(2):179-94. PubMed ID: 20510478
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Premature Ventricular beat classification using a dynamic Bayesian Network.
de Oliveira LS; Andreão RV; Sarcinelli-Filho M
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():4984-7. PubMed ID: 22255457
[TBL] [Abstract][Full Text] [Related]
19. A high performance k-NN approach using binary neural networks.
Hodge VJ; Lees KJ; Austin JL
Neural Netw; 2004 Apr; 17(3):441-58. PubMed ID: 15037360
[TBL] [Abstract][Full Text] [Related]
20. Finding features for real-time premature ventricular contraction detection using a fuzzy neural network system.
Lim JS
IEEE Trans Neural Netw; 2009 Mar; 20(3):522-7. PubMed ID: 19179246
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]