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Volumn 36, Issue 4, 2006, Pages 376-388

A fuzzy clustering neural network architecture for classification of ECG arrhythmias

Author keywords

Arrhythmia; ECG; Fuzzy c means; Fuzzy clustering; Multilayer perceptron; Neural network; Pattern recognition

Indexed keywords

ALGORITHMS; BACKPROPAGATION; DATABASE SYSTEMS; ELECTROCARDIOGRAPHY; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 32644482767     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.01.006     Document Type: Article
Times cited : (223)

References (31)
  • 1
    • 70350216939 scopus 로고    scopus 로고
    • Classification of heart rate data using artificial neural network and fuzzy equivalence relation
    • R. Acharya, P.S. Bhat, S.S. Iyengar, A. Roo, S. Dua, Classification of heart rate data using artificial neural network and fuzzy equivalence relation, J. Pattern Recognition Soc. (2002).
    • (2002) J. Pattern Recognition Soc.
    • Acharya, R.1    Bhat, P.S.2    Iyengar, S.S.3    Roo, A.4    Dua, S.5
  • 2
    • 0034774017 scopus 로고    scopus 로고
    • ECG beat recognition using fuzzy hybrid neural network
    • S. Osowski, and T.H. Linh ECG beat recognition using fuzzy hybrid neural network IEEE Trans. Biomed. Eng. 48 11 2001 1265 1271
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , Issue.11 , pp. 1265-1271
    • Osowski, S.1    Linh, T.H.2
  • 3
    • 61549131742 scopus 로고    scopus 로고
    • A recognition of ECG arrhythmias using artificial neural network
    • IEEE/EMBS, Istanbul, Turkey
    • Y. Ozbay, B. Karlik, A recognition of ECG arrhythmias using artificial neural network, Proceedings of the 23rd Annual Conference, IEEE/EMBS, Istanbul, Turkey, 2001.
    • (2001) Proceedings of the 23rd Annual Conference
    • Ozbay, Y.1    Karlik, B.2
  • 4
    • 32644472176 scopus 로고    scopus 로고
    • Ph.D. Thesis, Institute of Natural and Applied Science, Selcuk University
    • Y. Ozbay, Fast recognition of ECG arrhythmias, Ph.D. Thesis, Institute of Natural and Applied Science, Selcuk University, 1999.
    • (1999) Fast Recognition of ECG Arrhythmias
    • Ozbay, Y.1
  • 7
    • 4344669532 scopus 로고    scopus 로고
    • Fuzzy-hybrid neural network based ECG beat recognition using three different types of feature set
    • M. Engin, and S. Demiraǧ Fuzzy-hybrid neural network based ECG beat recognition using three different types of feature set Cardiovasc. Eng. Int. J. 3 2 2003 71 80
    • (2003) Cardiovasc. Eng. Int. J. , vol.3 , Issue.2 , pp. 71-80
    • Engin, M.1    Demiraǧ, S.2
  • 9
    • 0242363805 scopus 로고    scopus 로고
    • A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis
    • B. Karlik, M.O. Tokhi, and M. Alci A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis IEEE Trans. Biomed. Eng. 50 11 2003 1255 1261
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , Issue.11 , pp. 1255-1261
    • Karlik, B.1    Tokhi, M.O.2    Alci, M.3
  • 11
    • 0037448870 scopus 로고    scopus 로고
    • A fuzzy c-means variant for the generation of fuzzy term sets
    • T.W. Liao, A.K. Celmins, and R.J. Hammell II A fuzzy c-means variant for the generation of fuzzy term sets Fuzzy Sets Syst. 135 2003 241 257
    • (2003) Fuzzy Sets Syst. , vol.135 , pp. 241-257
    • Liao, T.W.1    Celmins, A.K.2    Hammell II, R.J.3
  • 12
    • 0035437751 scopus 로고    scopus 로고
    • Compensatory fuzzy neural network-based intelligent detection of abnormal neonatal cerebral doppler ultrasound waveforms
    • H. Seker, D.H. Evans, N. Aydin, and E. Yazgan Compensatory fuzzy neural network-based intelligent detection of abnormal neonatal cerebral doppler ultrasound waveforms IEEE Trans. Inform. Technol. Biomed. 5 3 2001 187 194
    • (2001) IEEE Trans. Inform. Technol. Biomed. , vol.5 , Issue.3 , pp. 187-194
    • Seker, H.1    Evans, D.H.2    Aydin, N.3    Yazgan, E.4
  • 13
    • 0031699499 scopus 로고    scopus 로고
    • Compensatory neuro-fuzzy systems with fast learning algorithms
    • Y. Zhang, and A. Kandel Compensatory neuro-fuzzy systems with fast learning algorithms IEEE Trans. Neural Networks 9 1 1998 83 105
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.1 , pp. 83-105
    • Zhang, Y.1    Kandel, A.2
  • 14
    • 0037410688 scopus 로고    scopus 로고
    • Supervised fuzzy c-means clustering algorithm
    • J. Fan, W. Zhen, and W. Xie Supervised fuzzy c-means clustering algorithm Pattern Recognition Lett. 24 2003 1607 1612
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 1607-1612
    • Fan, J.1    Zhen, W.2    Xie, W.3
  • 15
    • 0037119179 scopus 로고    scopus 로고
    • A fuzzy neural network for pattern classification and feature selection
    • R. Li, M. Mukaidono, and I.B. Turksen A fuzzy neural network for pattern classification and feature selection Fuzzy Sets Syst. 130 2002 101 108
    • (2002) Fuzzy Sets Syst. , vol.130 , pp. 101-108
    • Li, R.1    Mukaidono, M.2    Turksen, I.B.3
  • 16
    • 32644457364 scopus 로고    scopus 로고
    • Classification of ECG signals using fuzzy clustering neural networks (FCNN)
    • TAINN'03 Çanakkale, Turkey
    • R. Pektatli, Y. Ozbay, M. Ceylan, B. Karlik, Classification of ECG signals using fuzzy clustering neural networks (FCNN), Proceedings of the International XII, TAINN'03, vol. 1(1), Çanakkale, Turkey, 2003, pp. 105-108.
    • (2003) Proceedings of the International XII , vol.1 , Issue.1 , pp. 105-108
    • Pektatli, R.1    Ozbay, Y.2    Ceylan, M.3    Karlik, B.4
  • 18
    • 9644305409 scopus 로고    scopus 로고
    • Fuzzy inference and rule extraction using a neural network
    • G. Castellano, and A.M. Fanelli Fuzzy inference and rule extraction using a neural network Neural Network World J. 3 2000 361 371
    • (2000) Neural Network World J. , vol.3 , pp. 361-371
    • Castellano, G.1    Fanelli, A.M.2
  • 20
    • 0037117194 scopus 로고    scopus 로고
    • Unsupervised feature extraction using neuro-fuzzy approach
    • R.K. De, J. Basak, and S.K. Pal Unsupervised feature extraction using neuro-fuzzy approach Fuzzy Sets Syst. 126 2002 277 291
    • (2002) Fuzzy Sets Syst. , vol.126 , pp. 277-291
    • De, R.K.1    Basak, J.2    Pal, S.K.3
  • 21
    • 0033718427 scopus 로고    scopus 로고
    • Pattern classification by a neuro fuzzy network application to vibration monitoring
    • P. Meesad, and G.G. Yen Pattern classification by a neuro fuzzy network application to vibration monitoring ISA Trans. 39 2000 293 308
    • (2000) ISA Trans. , vol.39 , pp. 293-308
    • Meesad, P.1    Yen, G.G.2
  • 22
    • 0027634778 scopus 로고
    • Generalized clustering networks and Kohonen's self-organizing scheme
    • N.R. Pal, J.C. Bezdek, and E.C. Tsao Generalized clustering networks and Kohonen's self-organizing scheme IEEE Trans. Neural Networks 4 4 1993 549 557
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.4 , pp. 549-557
    • Pal, N.R.1    Bezdek, J.C.2    Tsao, E.C.3
  • 23
    • 0032122726 scopus 로고    scopus 로고
    • Conditional fuzzy clustering in the design of radial basis function neural networks
    • W. Pedrycz Conditional fuzzy clustering in the design of radial basis function neural networks IEEE Trans. Neural Networks 9 4 1998 601 612
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.4 , pp. 601-612
    • Pedrycz, W.1
  • 24
    • 0035369151 scopus 로고    scopus 로고
    • An ARMA order selection method with fuzzy reasoning
    • M. Haseyama, and H. Kitajima An ARMA order selection method with fuzzy reasoning Signal Process. 81 2001 1331 1335
    • (2001) Signal Process. , vol.81 , pp. 1331-1335
    • Haseyama, M.1    Kitajima, H.2
  • 25
    • 4243710639 scopus 로고    scopus 로고
    • Rapid process modelling-model building methodology combining unsupervised fuzzy clustering and supervised neural networks
    • M. Ronen, Y. Shabtai, and H. Guterman Rapid process modelling-model building methodology combining unsupervised fuzzy clustering and supervised neural networks Comput. Eng. 22 1998 1005 1008
    • (1998) Comput. Eng. , vol.22 , pp. 1005-1008
    • Ronen, M.1    Shabtai, Y.2    Guterman, H.3
  • 26
    • 0035493957 scopus 로고    scopus 로고
    • Knowledge discovery from process operational data using PCA and fuzzy clustering
    • Y.M. Sebzalli, and X.Z. Wang Knowledge discovery from process operational data using PCA and fuzzy clustering Eng. Appl. Artif. Intell. 14 2001 607 616
    • (2001) Eng. Appl. Artif. Intell. , vol.14 , pp. 607-616
    • Sebzalli, Y.M.1    Wang, X.Z.2
  • 27
    • 0034159726 scopus 로고    scopus 로고
    • Fuzzy logic based modification system for the learning rate in back-propagation
    • A. Shaout, and J. Scharbonea Fuzzy logic based modification system for the learning rate in back-propagation Comput. Electr. Eng. 26 2000 125 139
    • (2000) Comput. Electr. Eng. , vol.26 , pp. 125-139
    • Shaout, A.1    Scharbonea, J.2
  • 28
    • 0001830491 scopus 로고    scopus 로고
    • A fuzzy back-propagation algorithm
    • S. Stoeva, and A. Nikov A fuzzy back-propagation algorithm Fuzzy Sets Syst. 112 2000 27 39
    • (2000) Fuzzy Sets Syst. , vol.112 , pp. 27-39
    • Stoeva, S.1    Nikov, A.2
  • 29
    • 0037448874 scopus 로고    scopus 로고
    • Fuzzy least-squares algorithms for interactive fuzzy linear regression models
    • M. Yang, and H. Liu Fuzzy least-squares algorithms for interactive fuzzy linear regression models Fuzzy Sets Syst. 135 2003 305 316
    • (2003) Fuzzy Sets Syst. , vol.135 , pp. 305-316
    • Yang, M.1    Liu, H.2
  • 30
    • 0026925678 scopus 로고
    • A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images on the brain
    • L.O. Hall, A.M. Bensaid, L.P. Clarke, R.P. Velthuizen, M.S. Silbiger, and J.C. Bezdek A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images on the brain IEEE Trans. Neural Networks 3 5 1992 672 682
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 672-682
    • Hall, L.O.1    Bensaid, A.M.2    Clarke, L.P.3    Velthuizen, R.P.4    Silbiger, M.S.5    Bezdek, J.C.6
  • 31
    • 0001034441 scopus 로고    scopus 로고
    • A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications
    • J. Leski, and E. Czogala A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications Fuzzy Sets Syst. 108 1999 289 297
    • (1999) Fuzzy Sets Syst. , vol.108 , pp. 289-297
    • Leski, J.1    Czogala, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.