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Volumn 16, Issue 4, 2012, Pages 561-571

Trigger learning and ecg parameter customization for remote cardiac clinical care information system

Author keywords

Arrhythmia; electrocardiogram (ECG); healthcare information system; remote cardiac clinical care information system

Indexed keywords

ADAPTIVE FEATURE SELECTION; ADAPTIVE LEARNING; ARRHYTHMIA; CARDIAC ARRHYTHMIA; CLASSIFICATION MODELS; CLINICAL CARE; CLINICAL INFORMATION SYSTEM; COMPUTATIONAL BURDEN; CONVENTIONAL APPROACH; CORONARY HEART DISEASE; DIAGNOSTIC TOOLS; ECG DATA; ECG PARAMETERS; ELECTRONIC DATA PROCESSING; FOLLOW UP; HEALTH CARE INFORMATION SYSTEM; HYBRID TECHNIQUES; MORPHOLOGICAL DESCRIPTORS; PRACTICAL IMPLEMENTATION; REMOTE MONITORING; UNIQUE FEATURES;

EID: 84863516510     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2188812     Document Type: Article
Times cited : (11)

References (66)
  • 1
    • 67649837037 scopus 로고    scopus 로고
    • Knowledge portal construction and resources integration for a large scale hydropower dam
    • L. Wang, L. Xu, X. Wang, W. J. You, and W. Tan, "Knowledge portal construction and resources integration for a large scale hydropower dam," Syst. Res. Behav. Sci., vol. 26, no. 3, pp. 357-366, 2009.
    • (2009) Syst. Res. Behav. Sci. , vol.26 , Issue.3 , pp. 357-366
    • Wang, L.1    Xu, L.2    Wang, X.3    You, W.J.4    Tan, W.5
  • 2
    • 79960055957 scopus 로고    scopus 로고
    • Editorial: Inaugural issue
    • L. Xu, "Editorial: Inaugural Issue," Enterprise Inf. Syst., vol. 1, no. 1, pp. 1-2, 2007.
    • (2007) Enterprise Inf. Syst. , vol.1 , Issue.1 , pp. 1-2
    • Xu, L.1
  • 3
    • 81255151151 scopus 로고    scopus 로고
    • Enterprise systems: State-of-The-Art and future trends
    • Nov
    • L. Xu, "Enterprise systems: State-of-The-Art and future trends," IEEE Trans. Ind. Inf., vol. 7, no. 4, pp. 630-640, Nov. 2011.
    • (2011) IEEE Trans. Ind. Inf. , vol.7 , Issue.4 , pp. 630-640
    • Xu, L.1
  • 4
    • 79960313923 scopus 로고    scopus 로고
    • Generating event logs from non-process-Aware systems enabling business process mining
    • R. Perez-Castillo, B. Weber, J. Pinggera, S. Zugal, I. Guzman, and M. Piattini, "Generating event logs from non-process-Aware systems enabling business process mining," Enterprise Inf. Syst., vol. 5, no. 3, pp. 301-335, 2011.
    • (2011) Enterprise Inf. Syst. , vol.5 , Issue.3 , pp. 301-335
    • Perez-Castillo, R.1    Weber, B.2    Pinggera, J.3    Zugal, S.4    Guzman, I.5    Piattini, M.6
  • 5
    • 79952445361 scopus 로고    scopus 로고
    • Healthcare information systems: Data mining methods in the creation of a clinical recommender system
    • L. Duan, W. N. Street, and E. Xu, "Healthcare information systems: Data mining methods in the creation of a clinical recommender system," Enterprise Inf. Syst., vol. 5, no. 2, pp. 169-181, 2011.
    • (2011) Enterprise Inf. Syst. , vol.5 , Issue.2 , pp. 169-181
    • Duan, L.1    Street, W.N.2    Xu, E.3
  • 6
    • 79960304814 scopus 로고    scopus 로고
    • Development of an integrated medical supply information system
    • E. Xu, M.Wermus, and B. Bauman, "Development of an integrated medical supply information system," Enterprise Inf. Syst., vol. 5, no. 3, pp. 385-399, 2011.
    • (2011) Enterprise Inf. Syst. , vol.5 , Issue.3 , pp. 385-399
    • Xu, E.1    Wermus, M.2    Bauman, B.3
  • 8
    • 78049467474 scopus 로고    scopus 로고
    • Highlighting the current issues with pride suggestions for improving the performance of real time cardiac health monitoring
    • Bilbao, Spain
    • M. EzzeldinA. Bashir, M. Akasha, D. G. Lee, G. M. Yi, K. H. Ryu, J.-W. Bae, M. C. Cho, and E. J. Cha, "Highlighting the current issues with pride suggestions for improving the performance of real time cardiac health monitoring," in Proc.1st Inf. Technol. Bio Med. Inf. Conf., Bilbao, Spain, 2010, pp. 226-233.
    • (2010) Proc.1st Inf. Technol. Bio Med. Inf. Conf. , pp. 226-233
    • Ezzeldin, M.1    Akasha, M.2    Lee, D.G.3    Yi, G.M.4    Ryu, K.H.5    Bae, J.-W.6    Cho, M.C.7    Cha, E.J.8
  • 11
    • 33847109827 scopus 로고    scopus 로고
    • Comparison of four methods for premature ventricular contraction and normal beat clustering
    • DOI 10.1109/CIC.2005.1588258, 1588258, Computers in Cardiology, 2005
    • G. Bortolan, I. Jekova, and I. Christov, "Comparison of four methods for premature ventricular contractions and normal beats clustering," Comp. Card., vol. 30, pp. 921-924, 2005. (Pubitemid 46276814)
    • (2005) Computers in Cardiology , vol.32 , pp. 921-924
    • Bortolan, G.1    Jekova, I.2    Christov, I.3
  • 12
    • 0037209480 scopus 로고    scopus 로고
    • Classification of heart rate data using artificial neural network and fuzzy equivalence relation
    • U. Rajendra, P. Subbann, S. Iyengar, A. Raod, and S. Dua, "Classification of heart rate data using artificial neural network and fuzzy equivalence relation," Pattern Recog., vol. 36, pp. 61-68, 2003.
    • (2003) Pattern Recog. , vol.36 , pp. 61-68
    • Rajendra, U.1    Subbann, P.2    Iyengar, S.3    Raod, A.4    Dua, S.5
  • 13
    • 33845864226 scopus 로고    scopus 로고
    • A patient-adapting heartbeat classifier using ECG morphology and heartbeat interval features
    • DOI 10.1109/TBME.2006.883802, 17
    • F. de Chazal and R. B. Reilly, "A patient adapting heart beat classifier using ECG morphology and heartbeat interval features," IEEE Trans. Biomed. Eng., vol. 53, no. 12, pp. 2535-2543, Dec. 2006. (Pubitemid 46019541)
    • (2006) IEEE Transactions on Biomedical Engineering , vol.53 , Issue.12 , pp. 2535-2543
    • De Chazal, P.1    Reilly, R.B.2
  • 14
    • 0031238509 scopus 로고    scopus 로고
    • A patient-adaptable ECG beat classifier using a mixture of experts approach
    • DOI 10.1109/10.623058, PII S0018929497061168
    • Y. H. Hu, S. Palreddy, and W. J. Tompkins, "Patient adaptable ECG beat classification using mixture of experts," in IEEE Trans. Biomed. Eng., vol. 44, no. 9, pp. 891-900, Sep. 1997. (Pubitemid 27357683)
    • (1997) IEEE Transactions on Biomedical Engineering , vol.44 , Issue.9 , pp. 891-900
    • Hu, Y.H.1    Palreddy, S.2    Tompkins, W.J.3
  • 16
    • 42549129569 scopus 로고    scopus 로고
    • Real coded genetic algorithm for optimal parameters selection in circular Mellin feature extractors
    • V. S. Vyas and P. P. Rege, "Real coded genetic algorithm for optimal parameters selection in circular Mellin feature extractors," Int. J. Comput. Appl., vol. 30, no. 2, pp. 65-72, 2008.
    • (2008) Int. J. Comput. Appl. , vol.30 , Issue.2 , pp. 65-72
    • Vyas, V.S.1    Rege, P.P.2
  • 17
    • 0032957206 scopus 로고    scopus 로고
    • Real-time discrimination of ventricular tachyarrhythmia with Fourier- transform neural network
    • DOI 10.1109/10.740880
    • K. Minami, H. Nakajima, and T. Toyoshima, "Real-Time discrimination of ventricular tachyarrhythmia with Fourier-Transform neural network," IEEE Trans. Biomed. Eng., vol. 46, no. 2, pp. 179-185, Feb. 1999. (Pubitemid 29058923)
    • (1999) IEEE Transactions on Biomedical Engineering , vol.46 , Issue.2 , pp. 179-185
    • Minami, K.-I.1    Nakajima, H.2    Toyoshima, T.3
  • 18
    • 79957975941 scopus 로고    scopus 로고
    • An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings
    • A. Yildiz, M. Akin, and M. Poyraz, "An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings," Expert Syst. Appl., vol. 38, no. 10, pp. 12880-12890, 2011.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.10 , pp. 12880-12890
    • Yildiz, A.1    Akin, M.2    Poyraz, M.3
  • 19
    • 2342495326 scopus 로고    scopus 로고
    • Classification of ECG arrhythmias using multi-resolution analysis and neural networks
    • Bangalore, India
    • G. K. Prasad and J. S Sahambi, "Classification of ECG arrhythmias using multi-resolution analysis and neural networks," in Proc. IEEE Conf. Convergent Technol., Bangalore, India, 2003, pp. 227-231.
    • (2003) Proc. IEEE Conf. Convergent Technol. , pp. 227-231
    • Prasad, G.K.1    Sahambi, J.S.2
  • 20
    • 0036207031 scopus 로고    scopus 로고
    • Automatic pattern recognition in ECG time series
    • DOI 10.1016/S0169-2607(01)00168-7, PII S0169260701001687
    • K. Sternickel, "Automatic pattern recognition in ECG timeseries," Comput. Meth. Prog. Biomed., vol. 68, pp. 109-115, 2002. (Pubitemid 34257972)
    • (2002) Computer Methods and Programs in Biomedicine , vol.68 , Issue.2 , pp. 109-115
    • Sternickel, K.1
  • 21
    • 0034909765 scopus 로고    scopus 로고
    • ECG beat classification by a novel hybrid neural network
    • DOI 10.1016/S0169-2607(00)00133-4, PII S0169260700001334
    • Z. Dokur and T. Olmez, "ECG beat classification by a novel hybrid neural network," Comput. Meth. Prog. Biomed., vol. 66, pp. 167-181, 2001. (Pubitemid 32707888)
    • (2001) Computer Methods and Programs in Biomedicine , vol.66 , Issue.2-3 , pp. 167-181
    • Dokur, Z.1    Olmez, T.2
  • 22
    • 0042198967 scopus 로고    scopus 로고
    • Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition
    • DOI 10.1016/S0031-3203(03)00044-X
    • X.Wang and K. Paliwal, "Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition," Pattern Recog., vol. 36, pp. 2429-2439, 2003. (Pubitemid 36947223)
    • (2003) Pattern Recognition , vol.36 , Issue.10 , pp. 2429-2439
    • Wang, X.1    Paliwal, K.K.2
  • 23
    • 0037929392 scopus 로고    scopus 로고
    • Feature space theory in data mining: Transformations between extensions and intensions in knowledge representation
    • H. X. Li, L. D.Xu, J. Y.Wang, and Z.W.Mo, "Feature space theory in data mining: Transformations between extensions and intensions in knowledge representation," Exp. Syst., vol. 20, no. 2, pp. 60-71, 2003.
    • (2003) Exp. Syst. , vol.20 , Issue.2 , pp. 60-71
    • Li, H.X.1    Xu, L.D.2    Wang, J.Y.3    Mo, Z.W.4
  • 24
    • 0035422286 scopus 로고    scopus 로고
    • Feature space theory - A mathematical foundation for data mining
    • DOI 10.1016/S0950-7051(01)00103-4, PII S0950705101001034
    • H. X. Li and L. D. Xu, "Feature space theory-A mathematical foundation for data mining," Kno.-Bas. Syst., vol. 14, pp. 253-257, 2001. (Pubitemid 32707389)
    • (2001) Knowledge-Based Systems , vol.14 , Issue.5-6 , pp. 253-257
    • Li, H.X.1    Xu, L.D.2
  • 25
    • 32644482767 scopus 로고    scopus 로고
    • A fuzzy clustering neural network architecture for classification of ECG arrhythmias
    • DOI 10.1016/j.compbiomed.2005.01.006, PII S0010482505000417
    • Y. Ozbay, R. Ceylan, and B. Karlik, "A fuzzy clustering neural network architecture for classification of ECG arrhythmias," Comput. Biol. Med., vol. 36, pp. 376-388, 2006. (Pubitemid 43247768)
    • (2006) Computers in Biology and Medicine , vol.36 , Issue.4 , pp. 376-388
    • Ozbay, Y.1    Ceylan, R.2    Karlik, B.3
  • 26
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • May
    • A. Hyvarinen, "Fast and robust fixed-point algorithms for independent component analysis," IEEE Trans. Neural Netw., vol. 10, no. 3, pp. 626-634, May 1999.
    • (1999) IEEE Trans. Neural Netw. , vol.10 , Issue.3 , pp. 626-634
    • Hyvarinen, A.1
  • 28
    • 38649095183 scopus 로고    scopus 로고
    • Integration of independent component analysis and neural networks for ECG beat classification
    • Y. Sung-Nien and C. Kuan-To, "Integration of independent component analysis and neural networks for ECG beat classification," Expert Syst. Appl., vol. 34, pp. 2841-2846, 2008.
    • (2008) Expert Syst. Appl. , vol.34 , pp. 2841-2846
    • Sung-Nien, Y.1    Kuan-To, C.2
  • 30
    • 80054958869 scopus 로고    scopus 로고
    • ECG arrhythmia recognition via a neuro-SVMKNN hybrid classifier with virtual QRS image-based geometrical features
    • M. R. Homaeinezhad, S.A.Atyabi, E. Tavakkoli, H. N. Toosi, A. Ghaffari, and R. Ebrahimpour, "ECG arrhythmia recognition via a neuro-SVMKNN hybrid classifier with virtual QRS image-based geometrical features," Expert Syst. Appl., vol. 39, no. 2, pp. 2047-2058, 2012.
    • (2012) Expert Syst. Appl. , vol.39 , Issue.2 , pp. 2047-2058
    • Homaeinezhad, M.R.1    Atyabi, S.A.2    Tavakkoli, E.3    Toosi, H.N.4    Ghaffari, A.5    Ebrahimpour, R.6
  • 31
    • 0034774017 scopus 로고    scopus 로고
    • ECG beat recognition using fuzzy hybrid neural network
    • DOI 10.1109/10.959322, PII S0018929401091406
    • S. Osowski and T. Linh, "ECG beat recognition using fuzzy hybrid neural network," IEEE Trans. Biomed. Eng., vol. 48, no. 11, pp. 1265-1271, Nov. 2001. (Pubitemid 32988567)
    • (2001) IEEE Transactions on Biomedical Engineering , vol.48 , Issue.11 , pp. 1265-1271
    • Osowski, S.1    Linh, T.H.2
  • 32
    • 34447285485 scopus 로고    scopus 로고
    • A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree
    • DOI 10.1016/j.artmed.2007.04.001, PII S0933365707000504
    • T. P. Exarchosa, M. G. Tsipourasa, C. P. Exarchosa, C. Papaloukasa, D. I. Fotiadis, and L. K. Michalis, "Amethodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree," Arificial Intell. Med., vol. 40, no. 3, pp. 187-200, 2007. (Pubitemid 47048715)
    • (2007) Artificial Intelligence in Medicine , vol.40 , Issue.3 , pp. 187-200
    • Exarchos, T.P.1    Tsipouras, M.G.2    Exarchos, C.P.3    Papaloukas, C.4    Fotiadis, D.I.5    Michalis, L.K.6
  • 33
    • 0033313319 scopus 로고    scopus 로고
    • Representing diverse mathematical problems using neural networks in hybrid intelligent systems
    • H. Li and L. Li, "Representing diverse mathematical problems using neural networks in hybrid intelligent systems," Expert Syst., vol. 16, no. 4, pp. 262-272, 1999. (Pubitemid 30524946)
    • (1999) Expert Systems , vol.16 , Issue.4 , pp. 262-272
    • Li, H.X.1    Li, L.X.2
  • 34
    • 79956107466 scopus 로고    scopus 로고
    • Diagnostic study on arrhythmia cordis based on particle swarm optimization-based support vector machine
    • F. Sheng-wei, "Diagnostic study on arrhythmia cordis based on particle swarm optimization-based support vector machine," Expert Syst. Appl., vol. 37, no. 10, pp. 6748-6752, 2010.
    • (2010) Expert Syst. Appl. , vol.37 , Issue.10 , pp. 6748-6752
    • Sheng-Wei, F.1
  • 35
    • 77954758321 scopus 로고    scopus 로고
    • An SVM-based machine learning method for accurate internet traffic classification
    • R. Yuan, Z. li, X. Guan, and L. Xu, "An SVM-based machine learning method for accurate internet traffic classification," Inf. Syst. Frontiers, vol. 12, no. 2, pp. 149-156, 2010.
    • (2010) Inf. Syst. Frontiers , vol.12 , Issue.2 , pp. 149-156
    • Yuan, R.1    Li, Z.2    Xu, L.3
  • 36
    • 67749108627 scopus 로고    scopus 로고
    • Heartbeat time series classification with support vector machines
    • Jul
    • A. Kampouraki, G. Manis, and C. Nikou, "Heartbeat time series classification with support vector machines," IEEE Trans. Informat. Technol. Biomed., vol. 13, no. 4, pp. 512-518, Jul. 2009.
    • (2009) IEEE Trans. Informat. Technol. Biomed. , vol.13 , Issue.4 , pp. 512-518
    • Kampouraki, A.1    Manis, G.2    Nikou, C.3
  • 37
    • 34347333289 scopus 로고    scopus 로고
    • A local-density based spatial clustering algorithm with noise
    • DOI 10.1016/j.is.2006.10.006, PII S0306437906000871
    • L. Duan, L. Xu, F. Guo, J. Lee, and B. Yan, "A local-density based spatial clustering algorithm with noise," Inf. Syst., vol. 32, pp. 978-986, 2007. (Pubitemid 47017576)
    • (2007) Information Systems , vol.32 , Issue.7 , pp. 978-986
    • Duan, L.1    Xu, L.2    Guo, F.3    Lee, J.4    Yan, B.5
  • 38
    • 62949154974 scopus 로고    scopus 로고
    • Cluster-based outlier detection
    • L. Duan, L. Xu, Y. Liu, and J. Lee, "Cluster-based outlier detection," Ann. Oper. Res., vol. 168, pp. 151-168, 2009.
    • (2009) Ann. Oper. Res. , vol.168 , pp. 151-168
    • Duan, L.1    Xu, L.2    Liu, Y.3    Lee, J.4
  • 39
    • 2942709662 scopus 로고    scopus 로고
    • Automatic classification of heartbeats using ECG morphology and heartbeat interval features
    • DOI 10.1109/TBME.2004.827359
    • P. Chazal, M. Dwyer, and R. Reilly, "Automatic classification of heartbeats using ECG morphology and heartbeat interval features," IEEE Trans. Biomed. Eng, vol. 51, no. 7, pp. 1196-1206, Jul. 2004. (Pubitemid 38787925)
    • (2004) IEEE Transactions on Biomedical Engineering , vol.51 , Issue.7 , pp. 1196-1206
    • De Chazal, P.1    O'Dwyer, M.2    Reilly, R.B.3
  • 40
    • 80255137493 scopus 로고    scopus 로고
    • Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system
    • O. Castillo, P. Melin, E. Ramirez, and J. Soria, "Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system," Expert Syst. Appl., vol. 39, pp. 2947-2955, 2012.
    • Expert Syst. Appl. , vol.39 , Issue.2012 , pp. 2947-2955
    • Castillo, O.1    Melin, P.2    Ramirez, E.3    Soria, J.4
  • 42
    • 2942746358 scopus 로고    scopus 로고
    • Using wavelet transform and fuzzy neural network for VPC detection from the Holter ECG
    • Jul
    • L. Y. Shyu, Y. H. Wu, and W. C. Hu, "Using wavelet transform and fuzzy neural network for VPC detection from the Holter ECG," IEEE Trans. Biomed. Eng.,, vol. 51, no. 7, pp. 1269-1273, Jul. 2004.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , Issue.7 , pp. 1269-1273
    • Shyu, L.Y.1    Wu, Y.H.2    Hu, W.C.3
  • 44
    • 77954309290 scopus 로고    scopus 로고
    • Classification of the electrocardiogram signals using supervised classifiers and efficient features
    • A. E. Zadeh, A. Khazaee, and V. Ranaee, "Classification of the electrocardiogram signals using supervised classifiers and efficient features," Comput. Methods Programs Biomed., vol. 99, pp. 179-194, 2010.
    • (2010) Comput. Methods Programs Biomed. , vol.99 , pp. 179-194
    • Zadeh, A.E.1    Khazaee, A.2    Ranaee, V.3
  • 45
    • 56349170342 scopus 로고    scopus 로고
    • Selection of significant for ECG beat classification
    • S. N. Yu and K. T. Chou, "Selection of significant for ECG beat classification," Expert Syst. Appl., vol. 36, pp. 2088-2096, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2088-2096
    • Yu, S.N.1    Chou, K.T.2
  • 46
    • 54849380800 scopus 로고    scopus 로고
    • Automatic identification of cardiac health using modeling techniques: A comparative study
    • U. R. Acharya, M. Sankaranarayanan, J. Nayak, C. Xiang, and T. Tamura, "Automatic identification of cardiac health using modeling techniques: A comparative study," Inform. Sci., vol. 178, pp. 4571-4582, 2008.
    • (2008) Inform. Sci. , vol.178 , pp. 4571-4582
    • Acharya, U.R.1    Sankaranarayanan, M.2    Nayak, J.3    Xiang, C.4    Tamura, T.5
  • 47
    • 37649021468 scopus 로고    scopus 로고
    • Frequency-domain features for ECG beat discrimination using grey relational analysis based classifier
    • C. H. Lin, "Frequency-domain features for ECG beat discrimination using grey relational analysis based classifier," Comput. Math. Appl., vol. 55, pp. 680-690, 2008.
    • (2008) Comput. Math. Appl. , vol.55 , pp. 680-690
    • Lin, C.H.1
  • 48
    • 58349087622 scopus 로고    scopus 로고
    • Features for analysis of electrocardiographic changes in partial epileptic patients
    • E. D. Ubeyli, "Features for analysis of electrocardiographic changes in partial epileptic patients," Exp. Syst. Appl., vol. 36, pp. 6780-6789, 2009.
    • (2009) Exp. Syst. Appl. , vol.36 , pp. 6780-6789
    • Ubeyli, E.D.1
  • 50
    • 2942709662 scopus 로고    scopus 로고
    • Automatic classification of heartbeats using ECG morphology and heartbeat interval features
    • DOI 10.1109/TBME.2004.827359
    • P. Chazal, M. O'Dwyer, and R. B. Reilly, "Automatic classification of heartbeats using ECG morphology and heartbeat interval features," IEEE Trans. Biomed. Eng., vol. 51, no. 7, pp. 1196-1206, Jul. 2004. (Pubitemid 38787925)
    • (2004) IEEE Transactions on Biomedical Engineering , vol.51 , Issue.7 , pp. 1196-1206
    • De Chazal, P.1    O'Dwyer, M.2    Reilly, R.B.3
  • 51
    • 0033918208 scopus 로고    scopus 로고
    • Clustering ECG complexes using hermite functions and self-organizing maps
    • DOI 10.1109/10.846677, PII S0018929400051223
    • M. Lagerholm, C. Peterson, G. Braccini, L. Edenbrandt, and L. Sörnmo, "Clustering ECG complexes using Hermite functions and self-organizing maps," IEEE Trans. Biomed. Eng., vol. 47, no. 7, pp. 838-848, Jul. 2000. (Pubitemid 30421818)
    • (2000) IEEE Transactions on Biomedical Engineering , vol.47 , Issue.7 , pp. 838-848
    • Lagerholm, M.1    Peterson, G.2
  • 52
    • 27644465212 scopus 로고    scopus 로고
    • A quantitative analysis approach for cardiac arrhythmia classification using higher order spectral techniques
    • DOI 10.1109/TBME.2005.856281
    • L. Khadra, A. S. Al-Fahoum, and S. Binajjaj, "A quantitative analysis approach for cardiac arrhythmia classification using higher order spectral techniques," IEEE Trans. Bio. Eng., vol. 52, no. 11, pp. 1840-1845, Nov. 2005. (Pubitemid 41578804)
    • (2005) IEEE Transactions on Biomedical Engineering , vol.52 , Issue.11 , pp. 1840-1845
    • Khadra, L.1    Al-Fahoum, A.S.2    Binajjaj, S.3
  • 53
    • 33746630271 scopus 로고    scopus 로고
    • ECG signal analysis through hidden Markov models
    • DOI 10.1109/TBME.2006.877103, 1658148
    • R. V. Andreao, B. Dorizzi, and J. Boudy, "ECG signal analysis through hidden Markov models," IEEE Trans. Biomed. Eng., vol. 53, no. 8, pp. 1541-1549, Aug. 2006. (Pubitemid 44150265)
    • (2006) IEEE Transactions on Biomedical Engineering , vol.53 , Issue.8 , pp. 1541-1549
    • Andreao, R.V.1    Dorizzi, B.2    Boudy, J.3
  • 54
    • 35748959377 scopus 로고    scopus 로고
    • Time series clustering and classification by the autoregressive metric
    • DOI 10.1016/j.csda.2007.06.001, PII S0167947307002368
    • M. Corduas and D. Piccolo, "Time series clustering and classification by the autoregressive metric," Comput. Statist. Data Anal., vol. 52, no. 4, pp. 1860-1872, 2008. (Pubitemid 350051433)
    • (2008) Computational Statistics and Data Analysis , vol.52 , Issue.4 , pp. 1860-1872
    • Corduas, M.1    Piccolo, D.2
  • 55
    • 44949179538 scopus 로고    scopus 로고
    • An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases
    • A. Sengur, "An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases," Expert Syst. Appl., vol. 35, no. 1-2, pp. 214-222, 2008.
    • (2008) Expert Syst. Appl. , vol.35 , Issue.1-2 , pp. 214-222
    • Sengur, A.1
  • 56
    • 79951772030 scopus 로고    scopus 로고
    • Neural system for heartbeats recognition using genetically integrated ensemble of classifiers
    • S. Osowski, K. Siwek, and R. Siroic, "Neural system for heartbeats recognition using genetically integrated ensemble of classifiers," Comput. Biol. Med., vol. 41, pp. 173-180, 2011.
    • (2011) Comput. Biol. Med. , vol.41 , pp. 173-180
    • Osowski, S.1    Siwek, K.2    Siroic, R.3
  • 59
    • 84863515202 scopus 로고    scopus 로고
    • UCI Machine Learning Repository, (Online]. Available:
    • UCI Machine Learning Repository, (2010). [Online]. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
    • (2010)
  • 60
    • 84863506347 scopus 로고    scopus 로고
    • WEKA web site, ([Online]. Available:
    • WEKA web site, (2010). [Online]. Available: http://www.cs.waikato.ac.nz/ ~ml/weka/index.html
    • (2010)
  • 61
    • 5644259871 scopus 로고    scopus 로고
    • ECG beat classification using neuro-fuzzy network
    • M. Engin, "ECG beat classification using neuro-fuzzy network," Pattern Recog. Lett., vol. 25, pp. 1715-1722, 2004.
    • (2004) Pattern Recog. Lett. , vol.25 , pp. 1715-1722
    • Engin, M.1
  • 62
    • 0028940273 scopus 로고
    • Atrial fibrillation and anticoagulant therapy
    • N. M. Wheeldon, "Atrial fibrillation and anticoagulant therapy," Euro. Heart J., vol. 16, pp. 302-312, 1995.
    • (1995) Euro. Heart J. , vol.16 , pp. 302-312
    • Wheeldon, N.M.1
  • 63
    • 0035718270 scopus 로고    scopus 로고
    • Sequential analysis for automatic detection of atrial fibrillation and flutter
    • I. Christov, G. Bortolan, and I. Daskalov, "Sequential analysis for automatic detection of atrial fibrillation and flutter," in Proc. Comput. Cardiol., 2001, pp. 293-296. (Pubitemid 34167126)
    • (2001) Computers in Cardiology , pp. 293-296
    • Christov, I.1    Bortolan, G.2    Daskalov, I.3
  • 64
    • 33847170597 scopus 로고    scopus 로고
    • Robust detection of atrial fibrillation for a long term telemonitoring system
    • DOI 10.1109/CIC.2005.1588177, 1588177, Computers in Cardiology, 2005
    • B. Logan and J. Healey, "Robust detection of atrial fibrillation for a long term telemonitoring system," in Proc. Comput. Cardiol., 2005, pp. 619-622. (Pubitemid 46276738)
    • (2005) Computers in Cardiology , vol.32 , pp. 619-622
    • Logan, B.1    Healey, J.2
  • 65
    • 0035716756 scopus 로고    scopus 로고
    • Multi-Thread implementation of a fuzzy neural network for automatic ECG arrhythmia detection
    • C. A. R. Rodriguez and M. A. H. Silveira, "Multi-Thread implementation of a fuzzy neural network for automatic ECG arrhythmia detection," in Proc. Comput. Cardiol., 2001, pp. 297-300.
    • (2001) Proc. Comput. Cardiol. , pp. 297-300
    • Rodriguez, C.A.R.1    Silveira, M.A.H.2
  • 66
    • 0026098633 scopus 로고
    • Detection of patients at risk for paroxysmal atrial fibrillation during sinus rhythm by P wave-Triggered signal-Averaged electrocardiogram
    • M. Fukunami, T. Yamada, M. Ohmori, K. Kumagai, K. Umemoto, A. Sakai, N. Kondoh, T. Minamino, and N. Hoki, "Detection of patients at risk for paroxysmal atrial fibrillation during sinus rhythm by P wave-Triggered signal-Averaged electrocardiogram," Circulation, vol. 83, pp. 162-169, 1991.
    • (1991) Circulation , vol.83 , pp. 162-169
    • Fukunami, M.1    Yamada, T.2    Ohmori, M.3    Kumagai, K.4    Umemoto, K.5    Sakai, A.6    Kondoh, N.7    Minamino, T.8    Hoki, N.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.