메뉴 건너뛰기




Volumn 12, Issue 4, 2012, Pages

Novel classification of coronary artery disease using heart rate variability analysis

Author keywords

Coronary artery disease; feature extraction; feature significance; heart rate variability; principal component analysis; supervised classification

Indexed keywords

AUTONOMIC MODULATION; CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; CORONARY ARTERY DISEASE; DETRENDED FLUCTUATION ANALYSIS; FEATURE SIGNIFICANCE; HEART RATE VARIABILITY; MULTI LAYER PERCEPTRON; NONLINEAR FEATURES; POINCARE PLOTS; PRINCIPAL COMPONENTS; RECURRENCE PLOT; SAMPLE ENTROPY; SHANNON ENTROPY; SUPERVISED CLASSIFICATION; HEART RATE VARIABILITY ANALYSIS;

EID: 84867967063     PISSN: 02195194     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219519412400179     Document Type: Article
Times cited : (53)

References (55)
  • 1
    • 77955571556 scopus 로고    scopus 로고
    • Retrieved February 20 2012
    • Heart Disease Facts, Retrieved February 20, 2012, from http://www.cdc.gov/heartdisease/facts.htm.
    • Heart Disease Facts
  • 4
    • 34547595913 scopus 로고    scopus 로고
    • Combining classical HRV indices with wavelet entropy measures improves to performance in diagnosing congestive heart failure
    • Isler Y, Kuntalp M, Combining classical HRV indices with wavelet entropy measures improves to performance in diagnosing congestive heart failure, Comput Biol Med 37:1502-1510, 2007.
    • (2007) Comput Biol Med , vol.37 , pp. 1502-1510
    • Isler, Y.1    Kuntalp, M.2
  • 5
    • 0037102915 scopus 로고    scopus 로고
    • Potential of feature selection methods in heart rate variability analysis for the classi cation of different cardiovascular diseases
    • Schumann A, Wessel N, Schirdewan A, Osterziel KJ, Voss A, Potential of feature selection methods in heart rate variability analysis for the classi cation of different cardiovascular diseases, Stat Med 21(15):2225-2242, 2002.
    • (2002) Stat Med , vol.21 , Issue.15 , pp. 2225-2242
    • Schumann, A.1    Wessel, N.2    Schirdewan, A.3    Osterziel, K.J.4    Voss, A.5
  • 6
    • 7044253486 scopus 로고    scopus 로고
    • Comprehensive analysis of cardiac health using heart rate signals
    • Acharya UR, Kannathal N, Krishnan SM, Comprehensive analysis of cardiac health using heart rate signals, Physiol Meas 25:1139-1151, 2004.
    • (2004) Physiol Meas , vol.25 , pp. 1139-1151
    • Acharya, U.R.1    Kannathal, N.2    Krishnan, S.M.3
  • 7
    • 24644437805 scopus 로고    scopus 로고
    • Heart rate variability and outcome in acute severe stroke: Role of power spectral analysis
    • Gujjar AR, Sathyaprabha TN, Nagaraja D, Thennarasu K, Pradhan N, Heart rate variability and outcome in acute severe stroke: Role of power spectral analysis, Neurocrit Care 1(3):347-354, 2004.
    • (2004) Neurocrit Care , vol.1 , Issue.3 , pp. 347-354
    • Gujjar, A.R.1    Sathyaprabha, T.N.2    Nagaraja, D.3    Thennarasu, K.4    Pradhan, N.5
  • 8
    • 0033803107 scopus 로고    scopus 로고
    • Change in heart rate and heart rate variability during treatment of depression in patients with coronary artery disease
    • Carney RM, Freedland KE, Stein PK, Skala JA, Hoffman P, Jaffe AS, Change in heart rate and heart rate variability during treatment of depression in patients with coronary artery disease, Psychosom Med 62:639-647, 2000.
    • (2000) Psychosom Med , vol.62 , pp. 639-647
    • Carney, R.M.1    Freedland, K.E.2    Stein, P.K.3    Skala, J.A.4    Hoffman, P.5    Jaffe, A.S.6
  • 10
    • 84855644402 scopus 로고    scopus 로고
    • Fetal heart rate variability analysis from phonocardiographic recordings
    • Chourasia V, Tiwari A, Fetal heart rate variability analysis from phonocardiographic recordings, J Mech Med Biol 11(5):1315-1331, 2011.
    • (2011) J Mech Med Biol , vol.11 , Issue.5 , pp. 1315-1331
    • Chourasia, V.1    Tiwari, A.2
  • 11
    • 0015223503 scopus 로고
    • Defective cardiac parasympathetic control in patients with heart disease
    • Eckberg DL, Drabinsky M, Braunwald E, Defective cardiac parasympathetic control in patients with heart disease, N Engl J Med 283:877-883, 1971.
    • (1971) N Engl J Med , vol.283 , pp. 877-883
    • Eckberg, D.L.1    Drabinsky, M.2    Braunwald, E.3
  • 13
    • 0028238242 scopus 로고
    • Circadian rhythms of frequency domain measures of heart rate variability in healthy subjects and patients with coronary artery disease: Effects of arousal and upright posture
    • Huikuri HV, Niemelä MJ, Ojala S, Rantala A, Ikäheimo A, Airaksinen KEJ, Circadian rhythms of frequency domain measures of heart rate variability in healthy subjects and patients with coronary artery disease: Effects of arousal and upright posture, Circulation 90:121-126, 1994.
    • (1994) Circulation , vol.90 , pp. 121-126
    • Huikuri, H.V.1    Niemelä, M.J.2    Ojala, S.3    Rantala, A.4    Ikäheimo, A.5    Kej, A.6
  • 14
    • 0025350923 scopus 로고
    • Decreased magnitude of heart rate spectral components in coronary artery disease: Its relation to angiographic severity
    • Hayano J, Sakakibara Y, Yamada A, Ohte N, Fujinami T, Yokoyama K, Watanabe Y, Takata K, Decreased magnitude of heart rate spectral components in coronary artery disease: Its relation to angiographic severity, Circulation 81:1217-1224, 1990.
    • (1990) Circulation , vol.81 , pp. 1217-1224
    • Hayano, J.1    Sakakibara, Y.2    Yamada, A.3    Ohte, N.4    Fujinami, T.5    Yokoyama, K.6    Watanabe, Y.7    Takata, K.8
  • 15
    • 8544229907 scopus 로고    scopus 로고
    • Heart rate variability in coronary artery disease patients with and without panic disorder
    • Lavoie KM, Fleet RP, Laurin C, Arsenault A, Miller SB, Bacon SL, Heart rate variability in coronary artery disease patients with and without panic disorder, Psychiatry Res 128(3):289-299, 2004.
    • (2004) Psychiatry Res , vol.128 , Issue.3 , pp. 289-299
    • Lavoie, K.M.1    Fleet, R.P.2    Laurin, C.3    Arsenault, A.4    Miller, S.B.5    Bacon, S.L.6
  • 16
    • 0242606433 scopus 로고    scopus 로고
    • Experimental analysis of heart rate variability of long-recording electrocardiograms in normal subjects and patients with coronary artery disease and normal left ventricular function
    • Nikolopoulos S, Alexandridi A, Nikolakeas S, Manis G, Experimental analysis of heart rate variability of long-recording electrocardiograms in normal subjects and patients with coronary artery disease and normal left ventricular function, J Biomed Inf 36:202-217, 2003.
    • (2003) J Biomed Inf , vol.36 , pp. 202-217
    • Nikolopoulos, S.1    Alexandridi, A.2    Nikolakeas, S.3    Manis, G.4
  • 17
    • 0028951502 scopus 로고
    • RR variability in healthy middle-aged persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction
    • Bigger JT Jr., Fleiss JL, Steinman RC, Rolnitzky LM, Schneider WJ, Stein PK, RR variability in healthy, middle-aged persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction, Circulation 91:1936-1943, 1995.
    • (1995) Circulation , vol.91 , pp. 1936-1943
    • Bigger Jr., J.T.1    Fleiss, J.L.2    Steinman, R.C.3    Rolnitzky, L.M.4    Schneider, W.J.5    Stein, P.K.6
  • 18
    • 84859712234 scopus 로고    scopus 로고
    • Noise detection and elimination for improved acoustic detection of coronary artery disease
    • 17 pp
    • Zia MK, Griffel B, Semmlow J, Fridman V, Saponieri C, Noise detection and elimination for improved acoustic detection of coronary artery disease, J Mech Med Biol 12(2):1240007 (17 pp), 2012.
    • (2012) J Mech Med Biol , vol.12 , Issue.2 , pp. 1240007
    • Zia, M.K.1    Griffel, B.2    Semmlow, J.3    Fridman, V.4    Saponieri, C.5
  • 19
    • 0021892137 scopus 로고
    • A real-time QRS detection algorithm
    • Pan J, Tompkins WJ, A real-time QRS detection algorithm, IEEE Trans Biomed Eng 32(3):230-236, 1985.
    • (1985) IEEE Trans Biomed Eng , vol.32 , Issue.3 , pp. 230-236
    • Pan, J.1    Tompkins, W.J.2
  • 20
    • 0026154666 scopus 로고
    • Integer coe±cient bandpass lter for the simultaneous removal of baseline wander 50 and 100 Hz interference from the ECG
    • Wariar R, Eswaran C, Integer coe±cient bandpass lter for the simultaneous removal of baseline wander, 50 and 100 Hz interference from the ECG, Med Biol Eng Comput 29(3):333-336, 1991.
    • (1991) Med Biol Eng Comput , vol.29 , Issue.3 , pp. 333-336
    • Wariar, R.1    Eswaran, C.2
  • 21
    • 0028354598 scopus 로고
    • Dynamical assessment of physiological systems and states using recurrence plot strategies
    • Webber Jr. CL, Zbilut JP, Dynamical assessment of physiological systems and states using recurrence plot strategies, J Appl Physiol 76:965-973, 1994.
    • (1994) J Appl Physiol , vol.76 , pp. 965-973
    • Webber Jr., C.L.1    Zbilut, J.P.2
  • 22
    • 0000688735 scopus 로고
    • Embeddings and delays as derived from quanti cation of recurrence plots
    • Zbilut JP, Webber Jr. CL, Embeddings and delays as derived from quanti cation of recurrence plots, Phys Lett A 171:199-203, 1992.
    • (1992) Phys Lett A , vol.171 , pp. 199-203
    • Zbilut, J.P.1    Webber Jr., C.L.2
  • 23
    • 33646980132 scopus 로고    scopus 로고
    • Recurrence plot based measures of complexity and its application to heart rate variability data
    • Marwan N, Wessel N, Meyerfeldt U, Schirdewan A, Kurths J, Recurrence plot based measures of complexity and its application to heart rate variability data, Phys Rev E 66(2):026702, 2002.
    • (2002) Phys Rev e , vol.66 , Issue.2 , pp. 026702
    • Marwan, N.1    Wessel, N.2    Meyerfeldt, U.3    Schirdewan, A.4    Kurths, J.5
  • 25
    • 0342445412 scopus 로고    scopus 로고
    • Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction
    • Huikuri HV, Makikallio TH, Peng CK, Goldberger AL, Hintze U, Moller M, Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction, Circulation 101:47-53, 2000.
    • (2000) Circulation , vol.101 , pp. 47-53
    • Huikuri, H.V.1    Makikallio, T.H.2    Peng, C.K.3    Goldberger, A.L.4    Hintze, U.5    Moller, M.6
  • 27
    • 0026015905 scopus 로고
    • Approximate entropy as a measure of system complexity
    • Pincus SM, Approximate entropy as a measure of system complexity, Proc Nat Acad Sci 88:2297-2301, 1991.
    • (1991) Proc Nat Acad Sci , vol.88 , pp. 2297-2301
    • Pincus, S.M.1
  • 28
    • 0033949457 scopus 로고    scopus 로고
    • Physiological time-series analysis using approximate entropy and sample entropy
    • Richman JS, Moorman JR, Physiological time-series analysis using approximate entropy and sample entropy, Am J Physiol 278(6):H2039-H2049, 2000.
    • (2000) Am J Physiol , vol.278 , Issue.6
    • Richman, J.S.1    Moorman, J.R.2
  • 29
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • Shannon CE, A mathematical theory of communication, Bell Syst Tech J 27:379-423, 1948.
    • (1948) Bell Syst Tech J , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 30
    • 0342398227 scopus 로고
    • Discrimination of sleep stages: A comparison between spectral and nonlinear EEG measures
    • Fell J, Roschke J, Discrimination of sleep stages: A comparison between spectral and nonlinear EEG measures, Electroencephalogr Clin Neurophysiol 98(5):401-410, 1966.
    • (1966) Electroencephalogr Clin Neurophysiol , vol.98 , Issue.5 , pp. 401-410
    • Fell, J.1    Roschke, J.2
  • 33
    • 38449103224 scopus 로고    scopus 로고
    • Different Bayesian network models in the classi cation of remote sensing images
    • Intelligent Data Engineering and Automated Learning-IDEAL
    • Solares C, Sanz AM, Different Bayesian network models in the classi cation of remote sensing images, Intelligent Data Engineering and Automated Learning-IDEAL, Lect Notes Comput Sci 4881:10-16, 2007.
    • (2007) Lect Notes Comput Sci , vol.4881 , pp. 10-16
    • Solares, C.1    Sanz, A.M.2
  • 36
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schoelkopf B, Burges C, Smola A (eds.) MIT Press, Cambridge, MA
    • Platt J, Fast Training of Support Vector Machines using Sequential Minimal Optimization, in Schoelkopf B, Burges C, Smola A (eds.), Adv Kernel Methods-Support Vector Learning, MIT Press, Cambridge, MA, 1999.
    • (1999) Adv Kernel Methods-Support Vector Learning
    • Platt, J.1
  • 37
    • 0003120218 scopus 로고    scopus 로고
    • Machines using sequential minimal optimization
    • Schoelkopf B, Burges C, Smola A (eds.) MIT Press, Cambridge, MA
    • Platt J, Machines using sequential minimal optimization, in Schoelkopf B, Burges C, Smola A (eds.), Adv Kernel Methods-Support Vector Learning, MIT Press, Cambridge, MA, 1999.
    • (1999) Adv Kernel Methods-Support Vector Learning
    • Platt, J.1
  • 39
    • 15944418607 scopus 로고    scopus 로고
    • Random forest similarity for protein-protein interaction prediction for multiple sources
    • Qi Y, Seetharaman JK, Joseph ZB, Random forest similarity for protein-protein interaction prediction for multiple sources, Pac Symp Biocomput 10:531-542, 2005.
    • (2005) Pac Symp Biocomput , vol.10 , pp. 531-542
    • Qi, Y.1    Seetharaman, J.K.2    Joseph, Z.B.3
  • 40
    • 70449527551 scopus 로고    scopus 로고
    • Effects of principle component analysis on assessment of coronary artery diseases using support vector machine
    • Babaoglu I, Findik O, Bayrak M, Effects of principle component analysis on assessment of coronary artery diseases using support vector machine, Expert Syst Appl 37:2182-2185, 2010.
    • (2010) Expert Syst Appl , vol.37 , pp. 2182-2185
    • Babaoglu, I.1    Findik, O.2    Bayrak, M.3
  • 41
    • 71349083973 scopus 로고    scopus 로고
    • A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine
    • Babaoglu I, Findik O, Ulker E, A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine, Expert Syst Appl 37:3177-3183, 2010.
    • (2010) Expert Syst Appl , vol.37 , pp. 3177-3183
    • Babaoglu, I.1    Findik, O.2    Ulker, E.3
  • 42
    • 45449086181 scopus 로고    scopus 로고
    • Noninvasive detection and classi cation of coronary artery occlusions using wavelet analysis of heart sounds with neural networks
    • Karimi M, Amirfattahi R, Sadri S, Marvasti SA, Noninvasive detection and classi cation of coronary artery occlusions using wavelet analysis of heart sounds with neural networks, Med Appl Signal Proc 3rd IEE International Seminar, pp. 117-120, 2005.
    • (2005) Med Appl Signal Proc 3rd IEE International Seminar , pp. 117-120
    • Karimi, M.1    Amirfattahi, R.2    Sadri, S.3    Marvasti, S.A.4
  • 43
    • 33947612494 scopus 로고    scopus 로고
    • Classi cation of coronary artery disease stress ECGs using uncertainty modeling
    • Arafat S, Dohrmann M, Skubic M, Classi cation of coronary artery disease stress ECGs using uncertainty modeling, Comput Int Methods Appl, 2005.
    • (2005) Comput Int Methods Appl
    • Arafat, S.1    Dohrmann, M.2    Skubic, M.3
  • 47
    • 33947125598 scopus 로고    scopus 로고
    • Assessment of the classi cation capability of prediction and approximation methods for HRV analysis
    • Manis G, Nikolopoulos S, Alexandridi A, Davos C, Assessment of the classi cation capability of prediction and approximation methods for HRV analysis, Comput Biol Med 37:642-654, 2007.
    • (2007) Comput Biol Med , vol.37 , pp. 642-654
    • Manis, G.1    Nikolopoulos, S.2    Alexandridi, A.3    Davos, C.4
  • 49
    • 1842378596 scopus 로고    scopus 로고
    • Circadian rhythmic fractal scaling of heart rate variability in health and coronary artery disease
    • Qtsuka K, Corn-elissen G, Halberg F, Circadian rhythmic fractal scaling of heart rate variability in health and coronary artery disease, Clin Cardiol 20(7):631-638, 2009.
    • (2009) Clin Cardiol , vol.20 , Issue.7 , pp. 631-638
    • Qtsuka, K.1    Corn-Elissen, G.2    Halberg, F.3
  • 50
    • 84928055798 scopus 로고    scopus 로고
    • A study on development of multi-parametric measure of heart rate variability diagnosing cardiovascular disease
    • Kim W, Jin S, Park Y, Choi H, A study on development of multi-parametric measure of heart rate variability diagnosing cardiovascular disease, IFMBE Proc 14(22):3480-3483, 2007.
    • (2007) IFMBE Proc , vol.14 , Issue.22 , pp. 3480-3483
    • Kim, W.1    Jin, S.2    Park, Y.3    Choi, H.4
  • 51
    • 38749094159 scopus 로고    scopus 로고
    • Mining biosignal data: Coronary artery disease diagnosis using linear and nonlinear features of HRV emerging technologies in knowledge discovery and data mining
    • Lee HG, Noh KY, Ho K, Mining biosignal data: Coronary artery disease diagnosis using linear and nonlinear features of HRV, emerging technologies in knowledge discovery and data mining, Lect Notes Comput Sci 4819:218-228, 2009.
    • (2009) Lect Notes Comput Sci , vol.4819 , pp. 218-228
    • Lee, H.G.1    Noh, K.Y.2    Ho, K.3
  • 52
    • 68749120727 scopus 로고    scopus 로고
    • Coronary artery disease prediction method using linear and nonlinear feature of heart rate variability in three recumbent postures
    • Lee HG, Kim WS, Noh KY, Shin JH, Yun U, Ryu KH, Coronary artery disease prediction method using linear and nonlinear feature of heart rate variability in three recumbent postures, Inf Syst Front 11:419-431, 2009.
    • (2009) Inf Syst Front , vol.11 , pp. 419-431
    • Lee, H.G.1    Kim, W.S.2    Noh, K.Y.3    Shin, J.H.4    Yun, U.5    Ryu, K.H.6
  • 53
    • 51549100211 scopus 로고    scopus 로고
    • A data mining approach for coronary heart diseaseprediction using HRV features and carotid arterial wall thickness
    • Lee HG, Noh KY, Ryu KH, A data mining approach for coronary heart diseaseprediction using HRV features and carotid arterial wall thickness, Int Conf Biomed Eng Inf 1:200-206, 2008.
    • (2008) Int Conf Biomed Eng Inf , vol.1 , pp. 200-206
    • Lee, H.G.1    Noh, K.Y.2    Ryu, K.H.3
  • 55
    • 34248647301 scopus 로고    scopus 로고
    • Comparing performances of logistic regression, classi cation and regression tree, and neural networks for predicting coronary artery disease
    • Kurt I, Ture M, Kurum T, Comparing performances of logistic regression, classi cation and regression tree, and neural networks for predicting coronary artery disease, Expert Syst Appl 34:366-374, 2008.
    • (2008) Expert Syst Appl , vol.34 , pp. 366-374
    • Kurt, I.1    Ture, M.2    Kurum, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.