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Volumn 4, Issue 4, 2014, Pages 388-395

Heartbeat classification using decision level fusion

Author keywords

Decision fusion; Heartbeat classification; Multi lead; Support vector machine

Indexed keywords

ELECTROCARDIOGRAPHY; MORPHOLOGY; SUPPORT VECTOR MACHINES;

EID: 84921028186     PISSN: 20939868     EISSN: 2093985X     Source Type: Journal    
DOI: 10.1007/s13534-014-0158-7     Document Type: Article
Times cited : (36)

References (21)
  • 1
    • 67649619218 scopus 로고    scopus 로고
    • A two-stage mechanism for registration and classification of ECG using gaussian mixture model
    • Martis RJ, Chakraborty C, Ray AK. A two-stage mechanism for registration and classification of ECG using gaussian mixture model. Pattern Recogn. 2009; 42(11):2979–88.
    • (2009) Pattern Recogn. , vol.42 , Issue.11 , pp. 2979-2988
    • Martis, R.J.1    Chakraborty, C.2    Ray, A.K.3
  • 2
    • 45749119160 scopus 로고    scopus 로고
    • Robust electrocardiogram (ECG) beat classification using discrete wavelet transform
    • Minhas FU, Arif M. Robust electrocardiogram (ECG) beat classification using discrete wavelet transform. Physiol Meas. 2008; 29(5):555–70.
    • (2008) Physiol Meas. , vol.29 , Issue.5 , pp. 555-570
    • Minhas, F.U.1    Arif, M.2
  • 3
    • 79952156441 scopus 로고    scopus 로고
    • Heartbeat classification using feature selection driven by database generalization criteria
    • Llamedo M, Martínez JP. Heartbeat classification using feature selection driven by database generalization criteria. IEEE T Biomed Eng. 2011; 58(3):616–25.
    • (2011) IEEE T Biomed Eng. , vol.58 , Issue.3 , pp. 616-625
    • Llamedo, M.1    Martínez, J.P.2
  • 4
    • 84866562436 scopus 로고    scopus 로고
    • Heartbeat classification using morphological and dynamic features of ecg signals
    • Ye C, Kumar BV, Coimbra MT. Heartbeat classification using morphological and dynamic features of ecg signals. IEEE T Biomed Eng. 2012; 59(10):2930–41.
    • (2012) IEEE T Biomed Eng. , vol.59 , Issue.10 , pp. 2930-2941
    • Ye, C.1    Kumar, B.V.2    Coimbra, M.T.3
  • 5
    • 84555190723 scopus 로고    scopus 로고
    • Weighted conditional random fields for supervised interpatient heartbeat classification
    • de Lannoy G, Francois D, Delbeke J, Verleysen M. Weighted conditional random fields for supervised interpatient heartbeat classification. IEEE T Biomed Eng. 2012; 59(1):241–7.
    • (2012) IEEE T Biomed Eng. , vol.59 , Issue.1 , pp. 241-247
    • de Lannoy, G.1    Francois, D.2    Delbeke, J.3    Verleysen, M.4
  • 6
    • 2942709662 scopus 로고    scopus 로고
    • Automatic classification of heartbeats using ecg morphology and heartbeat interval features
    • de Chazal P, O’Dwyer M, Reilly RB. Automatic classification of heartbeats using ecg morphology and heartbeat interval features. IEEE T Biomed Eng. 2004; 51(7):1196–206.
    • (2004) IEEE T Biomed Eng. , vol.51 , Issue.7 , pp. 1196-1206
    • de Chazal, P.1    O’Dwyer, M.2    Reilly, R.B.3
  • 8
    • 84921058001 scopus 로고    scopus 로고
    • Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. 2013. Accessed 18 Nov 2014
    • Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. AAMI. 2013. https://standards.aami.org/kws/public/projects/project/details?project_id=30. Accessed 18 Nov 2014.
    • AAMI.
  • 9
    • 85161990649 scopus 로고    scopus 로고
    • Active learning applied to patient-adaptive heartbeat classification
    • Wiens J, Guttag JV. Active learning applied to patient-adaptive heartbeat classification. Conf Proc Neural Inf Process Syst. 2010; 1:2442–50.
    • (2010) Conf Proc Neural Inf Process Syst. , vol.1 , pp. 2442-2450
    • Wiens, J.1    Guttag, J.V.2
  • 11
    • 33747780517 scopus 로고    scopus 로고
    • Comparative study of morphological and timefrequency ECG descriptors for heartbeat classification
    • Christov I, Gómez-Herrero G, Krasteva V, Jekova I, Gotchev A, Egiazarian K. Comparative study of morphological and timefrequency ECG descriptors for heartbeat classification. Med Eng Phys. 2006; 28(9):876–87.
    • (2006) Med Eng Phys. , vol.28 , Issue.9 , pp. 876-887
    • Christov, I.1    Gómez-Herrero, G.2    Krasteva, V.3    Jekova, I.4    Gotchev, A.5    Egiazarian, K.6
  • 13
    • 81855205046 scopus 로고    scopus 로고
    • A unified framework for biometric expert fusion incorporating quality measures
    • Poh N, Kittler J. A unified framework for biometric expert fusion incorporating quality measures. IEEE T Pattern Anal Mach Intell. 2012; 34(1):3–18.
    • (2012) IEEE T Pattern Anal Mach Intell. , vol.34 , Issue.1 , pp. 3-18
    • Poh, N.1    Kittler, J.2
  • 14
    • 67650999671 scopus 로고    scopus 로고
    • Optimal classifier fusion in a non-bayesian probabilistic framework
    • Terrades OR, Valveny E, Tabbone S. Optimal classifier fusion in a non-bayesian probabilistic framework. IEEE T Pattern Anal Mach Intell. 2009; 31(9):1630–44.
    • (2009) IEEE T Pattern Anal Mach Intell. , vol.31 , Issue.9 , pp. 1630-1644
    • Terrades, O.R.1    Valveny, E.2    Tabbone, S.3
  • 15
    • 0034953193 scopus 로고    scopus 로고
    • The impact of the mit-bih arrhythmia database
    • Moody GB, Mark RG. The impact of the mit-bih arrhythmia database. IEEE Eng Med Biol Mag. 2001; 20(3):45–50.
    • (2001) IEEE Eng Med Biol Mag. , vol.20 , Issue.3 , pp. 45-50
    • Moody, G.B.1    Mark, R.G.2
  • 16
    • 33845864226 scopus 로고    scopus 로고
    • A patient-adapting heartbeat classifier using ecg morphology and heartbeat interval features
    • de Chazal P, Reilly RB. A patient-adapting heartbeat classifier using ecg morphology and heartbeat interval features. IEEE T Biomed Eng. 2006; 53(12):2535–43.
    • (2006) IEEE T Biomed Eng. , vol.53 , Issue.12 , pp. 2535-2543
    • de Chazal, P.1    Reilly, R.B.2
  • 18
    • 70349915779 scopus 로고    scopus 로고
    • A small sphere and large margin approach for novelty detection using training data with outliers
    • Wu M, Ye J. A small sphere and large margin approach for novelty detection using training data with outliers. IEEE T Pattern Anal Mach Intell. 2009; 31(11):2088–92.
    • (2009) IEEE T Pattern Anal Mach Intell. , vol.31 , Issue.11 , pp. 2088-2092
    • Wu, M.1    Ye, J.2
  • 19
    • 51349159085 scopus 로고    scopus 로고
    • Probability estimates for multi-class classification by pairwise coupling
    • Wu T-F, Lin C-J, Weng RC. Probability estimates for multi-class classification by pairwise coupling. J Mach Learn Res. 2004; 5:975–1005.
    • (2004) J Mach Learn Res. , vol.5 , pp. 975-1005
    • Wu, T.-F.1    Lin, C.-J.2    Weng, R.C.3
  • 20
    • 67649208265 scopus 로고    scopus 로고
    • Ageneric and robust system for automated patient-specific classification of ecg signals
    • Ince T, Kiranyaz S, Gabbouj M. Ageneric and robust system for automated patient-specific classification of ecg signals. IEEE T Biomed Eng. 2009; 56(5):1415–26.
    • (2009) IEEE T Biomed Eng. , vol.56 , Issue.5 , pp. 1415-1426
    • Ince, T.1    Kiranyaz, S.2    Gabbouj, M.3
  • 21
    • 84864238440 scopus 로고    scopus 로고
    • An automatic patient-adapted ecg heartbeat classifier allowing expert assistance
    • Llamedo M, Martínez JP. An automatic patient-adapted ecg heartbeat classifier allowing expert assistance. IEEE T Biomed Eng. 2012; 59(8):2312–20.
    • (2012) IEEE T Biomed Eng. , vol.59 , Issue.8 , pp. 2312-2320
    • Llamedo, M.1    Martínez, J.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.