메뉴 건너뛰기




Volumn 40, Issue 11, 2013, Pages 4490-4495

Adaptive neuro fuzzy selection of heart rate variability parameters affected by autonomic nervous system

Author keywords

Adaptive neuro fuzzy inference system; Autonomic nervous system; Heart rate variability; Variable selection

Indexed keywords

ADAPTIVE NEURO-FUZZY; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AUTONOMIC NERVOUS SYSTEM; DIFFERENT DOMAINS; FUNCTION APPROXIMATION; HEART RATE VARIABILITY; PREDICTIVE ABILITIES; VARIABLE SELECTION;

EID: 84876015569     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.01.055     Document Type: Article
Times cited : (51)

References (41)
  • 1
    • 84867738691 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy estimation of automatic nervous system parameters effect on heart rate variability
    • 10.1007/s00521-011-0629-z
    • D. Petković, and Ž. Ćojbašić Adaptive neuro-fuzzy estimation of automatic nervous system parameters effect on heart rate variability Neural Computing & Application 2011 10.1007/s00521-011- 0629-z
    • (2011) Neural Computing & Application
    • Petković, D.1    Ćojbašić, Z.2
  • 2
    • 0031035731 scopus 로고    scopus 로고
    • A new method of assessing cardiac autonomic function and its comparison with spectral analysis and coefficient of variation of R-R interval
    • M. Toichi, T. Sugiura, T. Murai, and A. Sengoku A new method of assessing cardiac autonomic function and its comparison with spectral analysis and coefficient of variation of R-R interval Journal of Autonomic Nervous System 62 1997 79 84
    • (1997) Journal of Autonomic Nervous System , vol.62 , pp. 79-84
    • Toichi, M.1    Sugiura, T.2    Murai, T.3    Sengoku, A.4
  • 4
    • 0343416365 scopus 로고    scopus 로고
    • Heart rate variability: Origins, methods, and interpretative caveats
    • G.G. Berntson, and J.T. Bigger Heart rate variability: Origins, methods, and interpretative caveats Psychophysiology 34 1997 623 648
    • (1997) Psychophysiology , vol.34 , pp. 623-648
    • Berntson, G.G.1    Bigger, J.T.2
  • 5
    • 0344286634 scopus 로고    scopus 로고
    • Assessment of autonomic nervous system function in patients with Behcet'e disease by spectral analysis of heart rate variability
    • S. Aksoyek, and K. Aytmir Assessment of autonomic nervous system function in patients with Behcet'e disease by spectral analysis of heart rate variability Journal of the Autonomic Nervous System 77 1999 190 194
    • (1999) Journal of the Autonomic Nervous System , vol.77 , pp. 190-194
    • Aksoyek, S.1    Aytmir, K.2
  • 6
    • 0035201118 scopus 로고    scopus 로고
    • Evaluation of autonomic nervous system function with spectral analysis of heart rate variability in a case of tetanus
    • T. Goto, and H. Fukushima Evaluation of autonomic nervous system function with spectral analysis of heart rate variability in a case of tetanus Brain & Development 23 2001 791 795
    • (2001) Brain & Development , vol.23 , pp. 791-795
    • Goto, T.1    Fukushima, H.2
  • 7
    • 33748680970 scopus 로고    scopus 로고
    • Heart rate variability monitoring in the detection of central nervous system complications in children with enterovirus infection
    • M.T. Lin, and J.K. Wang Heart rate variability monitoring in the detection of central nervous system complications in children with enterovirus infection Journal of Critical Care 21 2006 280 289
    • (2006) Journal of Critical Care , vol.21 , pp. 280-289
    • Lin, M.T.1    Wang, J.K.2
  • 8
    • 0032960328 scopus 로고    scopus 로고
    • Autonomic nervous system dysfunction in sclerodermic and primary Raynaud's phenomenon
    • P. Pancera, and S. Sansone Autonomic nervous system dysfunction in sclerodermic and primary Raynaud's phenomenon Clinical Science 96 1999 49 57
    • (1999) Clinical Science , vol.96 , pp. 49-57
    • Pancera, P.1    Sansone, S.2
  • 9
    • 33748865516 scopus 로고    scopus 로고
    • Research progress in nonlinear analysis of heart electric activities
    • N. Xinbao, B. Chunhua, W. Jun, and C. Ying Research progress in nonlinear analysis of heart electric activities Chinese Science Bulletin 51 2006 385 393
    • (2006) Chinese Science Bulletin , vol.51 , pp. 385-393
    • Xinbao, N.1    Chunhua, B.2    Jun, W.3    Ying, C.4
  • 10
    • 33748869539 scopus 로고    scopus 로고
    • Nonlinearity degree of short-term heart rate variability signal
    • B. Chunhua, and N. Xinbao Nonlinearity degree of short-term heart rate variability signal Chinese Science Bulletin 49 2004 530 534
    • (2004) Chinese Science Bulletin , vol.49 , pp. 530-534
    • Chunhua, B.1    Xinbao, N.2
  • 11
    • 0037799755 scopus 로고    scopus 로고
    • The influence of mean heart rate on measures of heart rate variability as markers of autonomic function: A model study
    • H.W. Chiu, and T.I. Wang The influence of mean heart rate on measures of heart rate variability as markers of autonomic function: A model study Medical Engineering & Physics 25 2003 475 481
    • (2003) Medical Engineering & Physics , vol.25 , pp. 475-481
    • Chiu, H.W.1    Wang, T.I.2
  • 12
    • 18044374970 scopus 로고    scopus 로고
    • Scale-specific and scale-independent measures of heart rate variability as risk indicators
    • Y. Ashkenazy, and M. Lewkowicz Scale-specific and scale-independent measures of heart rate variability as risk indicators Europhysics Letters 53 2001 709 715
    • (2001) Europhysics Letters , vol.53 , pp. 709-715
    • Ashkenazy, Y.1    Lewkowicz, M.2
  • 13
    • 76349119887 scopus 로고    scopus 로고
    • Concurrent sympathetic activation and vagal withdrawal in hyperthyroidism: Evidence from detrended fluctuation analysis of heart rate variability
    • J.L. Chen, and Y.H. Shiau Concurrent sympathetic activation and vagal withdrawal in hyperthyroidism: Evidence from detrended fluctuation analysis of heart rate variability Physica A 389 2010 1861 1968
    • (2010) Physica A , vol.389 , pp. 1861-1968
    • Chen, J.L.1    Shiau, Y.H.2
  • 14
    • 19044367693 scopus 로고    scopus 로고
    • Heart rate variability analysis: A useful assessment tool for diabetes associated cardiac dysfunction in rural and remote areas
    • A.C. Flynn, and H.F. Jelinek Heart rate variability analysis: A useful assessment tool for diabetes associated cardiac dysfunction in rural and remote areas Australian Journal of Rural Health 13 2005 77 82
    • (2005) Australian Journal of Rural Health , vol.13 , pp. 77-82
    • Flynn, A.C.1    Jelinek, H.F.2
  • 15
    • 0034061686 scopus 로고    scopus 로고
    • Variable selection using neural-network models
    • G. Castellano, and A.M. Fanelli Variable selection using neural-network models Neurocomputing 31 2000 1 13
    • (2000) Neurocomputing , vol.31 , pp. 1-13
    • Castellano, G.1    Fanelli, A.M.2
  • 16
    • 0142071011 scopus 로고    scopus 로고
    • Growing neural networks for a multivariate calibration and variable selection of time-resolved measurements
    • F. Dieterle, and S. Busche Growing neural networks for a multivariate calibration and variable selection of time-resolved measurements Analytica Chimica Acta 490 2003 71 83
    • (2003) Analytica Chimica Acta , vol.490 , pp. 71-83
    • Dieterle, F.1    Busche, S.2
  • 17
    • 0030608136 scopus 로고    scopus 로고
    • Variable selection with neural networks
    • T. Cibas, and F.F. Soulie Variable selection with neural networks Neurocomputing 12 1996 223 248
    • (1996) Neurocomputing , vol.12 , pp. 223-248
    • Cibas, T.1    Soulie, F.F.2
  • 18
    • 0034621370 scopus 로고    scopus 로고
    • Algorithmic approaches for studies of variable influence, contribution and selection in neural networks
    • F.O. Anderson, and M. Aberg Algorithmic approaches for studies of variable influence, contribution and selection in neural networks Chemometrics and Intelligent Laboratory Systems 51 2000 61 72
    • (2000) Chemometrics and Intelligent Laboratory Systems , vol.51 , pp. 61-72
    • Anderson, F.O.1    Aberg, M.2
  • 20
    • 79953680723 scopus 로고    scopus 로고
    • Diagnosis of hypoglycemic episodes using a neural network based rule discovery system
    • K.Y. Chan, S.H. Ling, T.S. Dillon, and H.T. Nguyen Diagnosis of hypoglycemic episodes using a neural network based rule discovery system Expert Systems with Applications 38 8 2011 9799 9808
    • (2011) Expert Systems with Applications , vol.38 , Issue.8 , pp. 9799-9808
    • Chan, K.Y.1    Ling, S.H.2    Dillon, T.S.3    Nguyen, H.T.4
  • 21
    • 67349157676 scopus 로고    scopus 로고
    • A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
    • C.K. Kwong, T.C. Wong, and K.Y. Chan A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach Expert Systems with Applications 36 8 2009 11262 11270
    • (2009) Expert Systems with Applications , vol.36 , Issue.8 , pp. 11262-11270
    • Kwong, C.K.1    Wong, T.C.2    Chan, K.Y.3
  • 24
    • 18844367171 scopus 로고    scopus 로고
    • Variable selection and data pre-processing in NN modelling of complex chemical processes
    • S. Papadokonstantakis, and S. Machefer Variable selection and data pre-processing in NN modelling of complex chemical processes Computers and Chemical Engineering 29 2005 1647 1659
    • (2005) Computers and Chemical Engineering , vol.29 , pp. 1647-1659
    • Papadokonstantakis, S.1    Machefer, S.2
  • 25
    • 0029988782 scopus 로고    scopus 로고
    • Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
    • M. Malik Heart rate variability: Standards of measurement, physiological interpretation, and clinical use European Heart Journal 17 354 1996 381
    • (1996) European Heart Journal , vol.17 , Issue.354 , pp. 381
    • Malik, M.1
  • 26
    • 67349092198 scopus 로고    scopus 로고
    • Soft computing in medicine
    • A. Yardimci Soft computing in medicine Applied Soft Computing 9 2009 1029 1043
    • (2009) Applied Soft Computing , vol.9 , pp. 1029-1043
    • Yardimci, A.1
  • 27
    • 0037209480 scopus 로고    scopus 로고
    • Classification of heart rate data using artificial neural network and fuzzy equivalence relation
    • U.A. Rajendra, P.B. Subbanna, S.S. Iyengar, A. Rao, and S. Dua Classification of heart rate data using artificial neural network and fuzzy equivalence relation Pattern Recognition 36 2003 61 68
    • (2003) Pattern Recognition , vol.36 , pp. 61-68
    • Rajendra, U.A.1    Subbanna, P.B.2    Iyengar, S.S.3    Rao, A.4    Dua, S.5
  • 28
    • 77955313314 scopus 로고    scopus 로고
    • A new method for classification of ECG arrhythmias using neural network with adaptive activation function
    • Y. Ozbay, and G. Tezel A new method for classification of ECG arrhythmias using neural network with adaptive activation function Digital Signal Processing 20 2009 1040 1049
    • (2009) Digital Signal Processing , vol.20 , pp. 1040-1049
    • Ozbay, Y.1    Tezel, G.2
  • 29
    • 58349091028 scopus 로고    scopus 로고
    • A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network
    • R. Ceylan, Y. Ozbay, and B. Karlik A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network Expert Systems and Applications 36 2009 6721 6726
    • (2009) Expert Systems and Applications , vol.36 , pp. 6721-6726
    • Ceylan, R.1    Ozbay, Y.2    Karlik, B.3
  • 30
    • 43749102493 scopus 로고    scopus 로고
    • Recognition and classification system of arrhythmia using ensemble of neural networks
    • S. Osowski, T. Markiewicz, and L.T. Hoai Recognition and classification system of arrhythmia using ensemble of neural networks Measurement 41 2009 610 617
    • (2009) Measurement , vol.41 , pp. 610-617
    • Osowski, S.1    Markiewicz, T.2    Hoai, L.T.3
  • 34
    • 71749119944 scopus 로고    scopus 로고
    • Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals
    • E.D. Ubeyli Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals Expert Systems and Applications 37 2010 1192 1199
    • (2010) Expert Systems and Applications , vol.37 , pp. 1192-1199
    • Ubeyli, E.D.1
  • 36
    • 33644995117 scopus 로고    scopus 로고
    • The comparison of different feed forward neural network architectures for ECG signal diagnosis
    • H.G. Hosseini, D. Luo, and K.J. Reynolds The comparison of different feed forward neural network architectures for ECG signal diagnosis Medical Engineering and Physics 28 2006 372 378
    • (2006) Medical Engineering and Physics , vol.28 , pp. 372-378
    • Hosseini, H.G.1    Luo, D.2    Reynolds, K.J.3
  • 37
    • 67649109094 scopus 로고    scopus 로고
    • Intelligent and effective heart attack prediction system using data mining and artificial neural network
    • S.B. Patil, and Y.S. Kumaraswamy Intelligent and effective heart attack prediction system using data mining and artificial neural network European Journal of Scientific Research 31 2009 642 656
    • (2009) European Journal of Scientific Research , vol.31 , pp. 642-656
    • Patil, S.B.1    Kumaraswamy, Y.S.2
  • 38
    • 59149084224 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents
    • E.D. Ubeyli Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents Computer Methods and Programs in Biomedicine 93 2009 313 321
    • (2009) Computer Methods and Programs in Biomedicine , vol.93 , pp. 313-321
    • Ubeyli, E.D.1
  • 40
    • 84876041369 scopus 로고    scopus 로고
    • Effects of lamotrigine on selected time domain parameters of heart rate variability in patients with newly diagnosed localization related epilepsy
    • (abstract)
    • SR. Lukic, M. Spasic, and S. Ljubisavljevic. Effects of lamotrigine on selected time domain parameters of heart rate variability in patients with newly diagnosed localization related epilepsy Epilepsia 51 Suppl. 4 2010 151 152 (abstract)
    • (2010) Epilepsia , vol.51 , Issue.SUPPL. 4 , pp. 151-152
    • Lukic, S.R.1    Spasic, M.2    Ljubisavljevic, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.