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Volumn 112, Issue 3, 2013, Pages 720-730

Multistage approach for clustering and classification of ECG data

Author keywords

Classification; Clustering; Consensus function; Dimensionality reduction; ECG processing

Indexed keywords

CLASSIFICATION ALGORITHM; CLUSTERING; CONSENSUS FUNCTIONS; DIMENSIONALITY REDUCTION; MULTI-STAGE CLUSTERING; MULTISTAGE-ALGORITHMS; RANK CORRELATION COEFFICIENT; SUPERVISED CLASSIFICATION;

EID: 84885423330     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.08.002     Document Type: Article
Times cited : (75)

References (36)
  • 1
    • 84885423866 scopus 로고    scopus 로고
    • Physionet - the research resource for complex physiologic signals
    • Physionet - the research resource for complex physiologic signals, 2012. http://www.physionet.org/.
    • (2012)
  • 2
    • 56349095491 scopus 로고    scopus 로고
    • Aggregating inconsistent information: ranking and clustering
    • Ailon N., Charikar M., Newman A. Aggregating inconsistent information: ranking and clustering. J. ACM 2008, 55:1-27.
    • (2008) J. ACM , vol.55 , pp. 1-27
    • Ailon, N.1    Charikar, M.2    Newman, A.3
  • 3
    • 35148860108 scopus 로고    scopus 로고
    • Implementation of novel methods of global and non-smooth optimization: GANSO programming library
    • Beliakov G., Ugon J. Implementation of novel methods of global and non-smooth optimization: GANSO programming library. Optimization 2007, 56:543-546.
    • (2007) Optimization , vol.56 , pp. 543-546
    • Beliakov, G.1    Ugon, J.2
  • 6
    • 0034909765 scopus 로고    scopus 로고
    • ECG beat classification by a novel hybrid neural network
    • Dokur Z., lmez T. ECG beat classification by a novel hybrid neural network. Comput. Methods Programs Biomed. 2001, 66:167-181.
    • (2001) Comput. Methods Programs Biomed. , vol.66 , pp. 167-181
    • Dokur, Z.1    lmez, T.2
  • 7
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training support vector machines
    • Fan R.-E., Chen P.-H., Lin C.-J. Working set selection using second order information for training support vector machines. J. Mach. Learn. Res. 2005, 6:1889-1918.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1889-1918
    • Fan, R.-E.1    Chen, P.-H.2    Lin, C.-J.3
  • 13
    • 38749139222 scopus 로고    scopus 로고
    • Consensus unsupervised feature ranking from multiple views
    • Hong Y., Kwong S., Chang Y., Ren Q. Consensus unsupervised feature ranking from multiple views. Pattern Recogn. Lett. 2008, 29:595-602.
    • (2008) Pattern Recogn. Lett. , vol.29 , pp. 595-602
    • Hong, Y.1    Kwong, S.2    Chang, Y.3    Ren, Q.4
  • 15
    • 13644252170 scopus 로고    scopus 로고
    • Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics
    • Huang Y., Powers R., Montelione G. Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics. J. Amer. Chem. Soc. 2005, 127:1665-1674.
    • (2005) J. Amer. Chem. Soc. , vol.127 , pp. 1665-1674
    • Huang, Y.1    Powers, R.2    Montelione, G.3
  • 16
    • 79954595949 scopus 로고    scopus 로고
    • Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features
    • Jovic A., Bogunovic N. Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features. Artif. Intell. Med. 2011, 51:175-186.
    • (2011) Artif. Intell. Med. , vol.51 , pp. 175-186
    • Jovic, A.1    Bogunovic, N.2
  • 21
    • 52949116782 scopus 로고    scopus 로고
    • Robust projective filtering of time-warped ECG beats
    • Kotas M. Robust projective filtering of time-warped ECG beats. Comput. Methods Programs Biomed. 2008, 92:161-172.
    • (2008) Comput. Methods Programs Biomed. , vol.92 , pp. 161-172
    • Kotas, M.1
  • 22
    • 84856230584 scopus 로고    scopus 로고
    • Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients
    • Kutlu Y., Kuntalp D. Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients. Comput. Methods Programs Biomed. 2012, 105:257-267.
    • (2012) Comput. Methods Programs Biomed. , vol.105 , pp. 257-267
    • Kutlu, Y.1    Kuntalp, D.2
  • 23
    • 33646133912 scopus 로고    scopus 로고
    • Intelligent classification of electrocardiogram (ECG) signal using extended kalman filter (EKF) based neuro fuzzy system
    • Meau Y.P., Ibrahim F., Narainasamy S.A., Omar R. Intelligent classification of electrocardiogram (ECG) signal using extended kalman filter (EKF) based neuro fuzzy system. Comput. Methods Programs Biomed. 2006, 82:157-168.
    • (2006) Comput. Methods Programs Biomed. , vol.82 , pp. 157-168
    • Meau, Y.P.1    Ibrahim, F.2    Narainasamy, S.A.3    Omar, R.4
  • 24
    • 0036785065 scopus 로고    scopus 로고
    • The pNNx files: re-examining a widely used heart rate variability measure
    • Mietus J., Peng C.-K., Henry I., Goldsmith R., Goldberger A. The pNNx files: re-examining a widely used heart rate variability measure. Heart 2002, 88:378-380.
    • (2002) Heart , vol.88 , pp. 378-380
    • Mietus, J.1    Peng, C.-K.2    Henry, I.3    Goldsmith, R.4    Goldberger, A.5
  • 25
    • 67650868981 scopus 로고    scopus 로고
    • Multilead analysis of t-wave alternans in the ECG using principal component analysis
    • Monasterio V., Laguna P., Martnez J. Multilead analysis of t-wave alternans in the ECG using principal component analysis. IEEE Trans. Biomed. Eng. 2009, 6:1880-1890.
    • (2009) IEEE Trans. Biomed. Eng. , vol.6 , pp. 1880-1890
    • Monasterio, V.1    Laguna, P.2    Martnez, J.3
  • 28
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - a knowledge reuse framework for combining multiple partitions
    • Strehl A., Ghosh J. Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res. 2003, 3:583-617.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 30
    • 59149084224 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of ECG signals using lyapunov exponents
    • Ubeyli E.D. Adaptive neuro-fuzzy inference system for classification of ECG signals using lyapunov exponents. Comput. Methods Programs Biomed. 2009, 93:313-321.
    • (2009) Comput. Methods Programs Biomed. , vol.93 , pp. 313-321
    • Ubeyli, E.D.1
  • 31
    • 33644845063 scopus 로고    scopus 로고
    • Facilitating the application of support vector regression by using a universal pearson VII function based kernel
    • Uestuen B., Melssen W.J., Buydens L.M.C. Facilitating the application of support vector regression by using a universal pearson VII function based kernel. Chemometr. Intell. Lab. Syst. 2006, 81:29-40.
    • (2006) Chemometr. Intell. Lab. Syst. , vol.81 , pp. 29-40
    • Uestuen, B.1    Melssen, W.J.2    Buydens, L.M.C.3
  • 32
    • 84880602813 scopus 로고    scopus 로고
    • Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model
    • Wang J., Liu P., She M.F.H., Nahavandi S., Kouzani A. Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model. Comput. Methods Programs Biomed. 2013, 111:629-641.
    • (2013) Comput. Methods Programs Biomed. , vol.111 , pp. 629-641
    • Wang, J.1    Liu, P.2    She, M.F.H.3    Nahavandi, S.4    Kouzani, A.5
  • 34
    • 84877017333 scopus 로고    scopus 로고
    • Cloud-ECG for real time ECG monitoring and analysis
    • Xia H., Asif I., Zhao X. Cloud-ECG for real time ECG monitoring and analysis. Comput. Methods Programs Biomed. 2013, 110:253-259.
    • (2013) Comput. Methods Programs Biomed. , vol.110 , pp. 253-259
    • Xia, H.1    Asif, I.2    Zhao, X.3
  • 35
    • 77954309290 scopus 로고    scopus 로고
    • Classification of the electrocardiogram signals using supervised classifiers and efficient features
    • Zadeh A.E., Khazaee A., Ranaee V. Classification of the electrocardiogram signals using supervised classifiers and efficient features. Comput. Methods Programs Biomed. 2010, 99:179-194.
    • (2010) Comput. Methods Programs Biomed. , vol.99 , pp. 179-194
    • Zadeh, A.E.1    Khazaee, A.2    Ranaee, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.