메뉴 건너뛰기




Volumn 16, Issue 1, 2016, Pages

An improved online paradigm for screening of diabetic patients using RR-interval signals

Author keywords

Diabetes; Empirical mode decomposition; Features; LS SVM classifier; RR interval signals

Indexed keywords

AMPLITUDE MODULATION; BANDWIDTH; DIAGNOSIS; DISEASES; ELECTROCARDIOGRAPHY; FOURIER SERIES; FREQUENCY MODULATION; FUNCTIONS; MEDICAL PROBLEMS; MODULATION; RADIAL BASIS FUNCTION NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

EID: 84960474907     PISSN: 02195194     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219519416400030     Document Type: Article
Times cited : (31)

References (73)
  • 1
    • 84960516692 scopus 로고    scopus 로고
    • World Health Organization: Diabetes accessed on 3 February 2015
    • World Health Organization: Diabetes, Available at: http://www.who.int/mediacentre/ factsheets/fs312/en/ (accessed on 3 February 2015).
  • 2
    • 57649195613 scopus 로고    scopus 로고
    • Dietary fats and prevention of type 2 diabetes
    • Risérus U, Willett WC, Hu FB, Dietary fats and prevention of type 2 diabetes, Prog Lipid Res 48(1):44-51, 2009.
    • (2009) Prog Lipid Res , vol.48 , Issue.1 , pp. 44-51
    • Risérus, U.1    Willett, W.C.2    Hu, F.B.3
  • 3
    • 84908283781 scopus 로고    scopus 로고
    • Improving tuberculosis prevention and care through addressing the global diabetes epidemic: From evidence to policy and practice
    • Lõnnroth K, Roglic G, Harries AD, Improving tuberculosis prevention and care through addressing the global diabetes epidemic: From evidence to policy and practice, Lancet Diab Endocrinol 2(9):730-739, 2014.
    • (2014) Lancet Diab Endocrinol , vol.2 , Issue.9 , pp. 730-739
    • Lõnnroth, K.1    Roglic, G.2    Harries, A.D.3
  • 5
    • 70350150796 scopus 로고    scopus 로고
    • Tests for screening and diagnosis of type 2 diabetes
    • Cox ME, Edelman D, Tests for screening and diagnosis of type 2 diabetes, Am. Diab. Associ Clin Diabetes 27(4):132-138, 2009.
    • (2009) Am. Diab. Associ Clin Diabetes , vol.27 , Issue.4 , pp. 132-138
    • Cox, M.E.1    Edelman, D.2
  • 7
    • 84878917377 scopus 로고    scopus 로고
    • Automated detection of diabetes using higher order spectral features extracted from heart rate signals
    • Swapna G, Acharya UR, Sree SV, Suri JS, Automated detection of diabetes using higher order spectral features extracted from heart rate signals, Intell Data Anal 17(2):309-326, 2013.
    • (2013) Intell Data Anal , vol.17 , Issue.2 , pp. 309-326
    • Swapna, G.1    Acharya, U.R.2    Sree, S.V.3    Suri, J.S.4
  • 8
    • 0036765379 scopus 로고    scopus 로고
    • Time domain analysis of heart rate variability in diabetic patients with and without autonomic neuropathy
    • Al-Hazimi A, Al-Ama N, Syiamic A, Qosti R, Abdel-Galil K, Time domain analysis of heart rate variability in diabetic patients with and without autonomic neuropathy, Ann Saudi Med 22(5-6):400-403, 2002.
    • (2002) Ann Saudi Med , vol.22 , Issue.5-6 , pp. 400-403
    • Al-Hazimi, A.1    Al-Ama, N.2    Syiamic, A.3    Qosti, R.4    Abdel-Galil, K.5
  • 9
    • 14644392838 scopus 로고    scopus 로고
    • Diabetes glucose insulin and heart rate variability: The atherosclerosis risk in communities (ARIC) study
    • Schroeder EB, Chambless LE, Liao D, Prineas RJ, Evans GW, Rosamond WD, Heiss G, Diabetes, glucose, insulin, and heart rate variability: The atherosclerosis risk in communities (ARIC) study, Diab Care 28(3):668-674, 2005.
    • (2005) Diab Care , vol.28 , Issue.3 , pp. 668-674
    • Schroeder, E.B.1    Chambless, L.E.2    Liao, D.3    Prineas, R.J.4    Evans, G.W.5    Rosamond, W.D.6    Heiss, G.7
  • 10
    • 84908023718 scopus 로고    scopus 로고
    • Relationships between reduced heart rate variability and pre-clinical cardiovascular disease in patients with type 2 diabetes
    • Cardoso CR, Moraes RA, Leite NC, Salles GF, Relationships between reduced heart rate variability and pre-clinical cardiovascular disease in patients with type 2 diabetes, Diab Res Clin Pract 106(1):110-117, 2014.
    • (2014) Diab Res Clin Pract , vol.106 , Issue.1 , pp. 110-117
    • Cardoso, C.R.1    Moraes, R.A.2    Leite, N.C.3    Salles, G.F.4
  • 11
    • 25444500962 scopus 로고    scopus 로고
    • Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients
    • Chemla D, Young J, Badilini F, Maison-Blanche P, Affres H, Lecarpentier Y, Chanson P, Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients, Int J Cardiol 104(3):307-313, 2005.
    • (2005) Int J Cardiol , vol.104 , Issue.3 , pp. 307-313
    • Chemla, D.1    Young, J.2    Badilini, F.3    Maison-Blanche, P.4    Affres, H.5    Lecarpentier, Y.6    Chanson, P.7
  • 12
    • 84923334416 scopus 로고    scopus 로고
    • Time and frequency domain analysis of heart rate variability and their correlations in diabetes mellitus
    • Seyd PTA, Ahamed VIT, Jacob J, Joseph K, Time and frequency domain analysis of heart rate variability and their correlations in diabetes mellitus, Int J Med Health Biomed Bioeng Pharm Eng 2(3):85-88, 2008.
    • (2008) Int J Med Health Biomed Bioeng Pharm Eng , vol.2 , Issue.3 , pp. 85-88
    • Pta, S.1    Vit, A.2    Jacob, J.3    Joseph, K.4
  • 13
    • 70350156801 scopus 로고    scopus 로고
    • Sex-based differences in the association between duration of type 2 diabetes and heart rate variability
    • Nolan RP, Barry-Bianchi SM, Mechetiuc AE, Chen MH, Sex-based differences in the association between duration of type 2 diabetes and heart rate variability, Diab Vasc Dis Res 6(4):276-282, 2009.
    • (2009) Diab Vasc Dis Res , vol.6 , Issue.4 , pp. 276-282
    • Nolan, R.P.1    Barry-Bianchi, S.M.2    Mechetiuc, A.E.3    Chen, M.H.4
  • 16
    • 80052376878 scopus 로고    scopus 로고
    • Heart rate variability and diastolic dysfunction in patients with type 2 diabetes mellitus
    • Poanta L, Porojan M, Dumitrascu DL, Heart rate variability and diastolic dysfunction in patients with type 2 diabetes mellitus, Acta Diabetolo 48(3):191-196, 2011.
    • (2011) Acta Diabetolo , vol.48 , Issue.3 , pp. 191-196
    • Poanta, L.1    Porojan, M.2    Dumitrascu, D.L.3
  • 18
    • 84887551702 scopus 로고    scopus 로고
    • Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients
    • Roy B, Ghatak S, Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients, Arquivos Brasileiros de Cardio 101(4):317-327, 2013.
    • (2013) Arquivos Brasileiros de Cardio , vol.101 , Issue.4 , pp. 317-327
    • Roy, B.1    Ghatak, S.2
  • 20
    • 84875668444 scopus 로고    scopus 로고
    • Renyi entropy in identification of cardiac autonomic neuropathy in diabetes
    • IEEE, Krakow
    • Jelinek HF, Tarvainen MP, Cornforth DJ, Renyi entropy in identification of cardiac autonomic neuropathy in diabetes, Computing in Cardiology, IEEE, Krakow, pp. 909-912, 2012.
    • (2012) Computing in Cardiology , pp. 909-912
    • Jelinek, H.F.1    Tarvainen, M.P.2    Cornforth, D.J.3
  • 22
    • 84886456772 scopus 로고    scopus 로고
    • Heart rate complexity and cardiac sympathetic dysinnervation in patients with type 2 diabetes mellitus
    • Baumert M, Sacre JW, Heart rate complexity and cardiac sympathetic dysinnervation in patients with type 2 diabetes mellitus, IEEE Int Conf Engineering in Medicine and Biology Society, Osaka, pp. 5570-5573, 2013.
    • (2013) IEEE Int Conf Engineering in Medicine and Biology Society, Osaka , pp. 5570-5573
    • Baumert, M.1    Sacre, J.W.2
  • 24
    • 84923337303 scopus 로고    scopus 로고
    • Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
    • Pachori RB, Avinash P, Shashank K, Sharma R, Acharya UR, Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals, Expert Syst Appli 42(9):4567-4581, 2015.
    • (2015) Expert Syst Appli , vol.42 , Issue.9 , pp. 4567-4581
    • Pachori, R.B.1    Avinash, P.2    Shashank, K.3    Sharma, R.4    Acharya, U.R.5
  • 25
    • 0026154666 scopus 로고
    • Integer coefficient bandpass filter for the simultaneous removal of baseline wander 50 and 100 Hz interference from the ECG
    • Warlar R, Eswaran C, Integer coefficient bandpass filter 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
    • Warlar, R.1    Eswaran, C.2
  • 26
    • 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
  • 27
    • 84882932054 scopus 로고    scopus 로고
    • Automated identification of normal and diabetes heart rate signals using nonlinear measures
    • Acharya UR, Faust O, Kadri NA, Suri JS, Yu W, Automated identification of normal and diabetes heart rate signals using nonlinear measures, Comput Biol Med 43(10):1523- 1529, 2013.
    • (2013) Comput Biol Med , vol.43 , Issue.10 , pp. 1523-1529
    • Acharya, U.R.1    Faust, O.2    Kadri, N.A.3    Suri, J.S.4    Yu, W.5
  • 29
    • 79957891877 scopus 로고    scopus 로고
    • Application of the empirical mode decomposition to ECG and HRV signals for congestive heart failure classification
    • Sharjah
    • Omar MOA, Mohamed ASA, Application of the empirical mode decomposition to ECG and HRV signals for congestive heart failure classification, 1st Middle East Conf Biomedical Engineering, Sharjah, pp. 392-395, 2011.
    • (2011) 1st Middle East Conf Biomedical Engineering , pp. 392-395
    • Moa, O.1    Asa, M.2
  • 30
    • 83855163461 scopus 로고    scopus 로고
    • Empirical mode decomposition based ECG enhancement and QRS detection
    • Pal S, Mitra M, Empirical mode decomposition based ECG enhancement and QRS detection, Comput Biol Med 42(1):83-92, 2012.
    • (2012) Comput Biol Med , vol.42 , Issue.1 , pp. 83-92
    • Pal, S.1    Mitra, M.2
  • 31
    • 84870547200 scopus 로고    scopus 로고
    • Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals
    • 1250027
    • Martis RJ, Acharya UR, Tan JH, Petznick A, Yanti R, Chua CK, Ng EYK, Tong L, Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals, Int J Neural Syst 22(6):1250027, 1-16, 2012.
    • (2012) Int J Neural Syst , vol.22 , Issue.6 , pp. 1-16
    • Martis, R.J.1    Acharya, U.R.2    Tan, J.H.3    Petznick, A.4    Yanti, R.5    Chua, C.K.6    Eyk, N.7    Tong, L.8
  • 32
    • 84904640580 scopus 로고    scopus 로고
    • Empirical mode decomposition based classification of focal and non-focal EEG signals
    • Shenzhen
    • Sharma R, Pachori RB, Gautam S, Empirical mode decomposition based classification of focal and non-focal EEG signals, Int Conf Medical Biometrics, Shenzhen, pp. 135-140, 2014.
    • (2014) Int Conf Medical Biometrics , pp. 135-140
    • Sharma, R.1    Pachori, R.B.2    Gautam, S.3
  • 33
  • 34
    • 45749152174 scopus 로고    scopus 로고
    • Univariate and bivariate empirical mode decomposition for postural stability analysis
    • Amoud H, Snoussi H, Hewson DJ, Duchêne J, Univariate and bivariate empirical mode decomposition for postural stability analysis, EURASIP J Adv Signal Process 2008:657391, 1-11, 2008.
    • (2008) EURASIP J Adv Signal Process , vol.2008 , pp. 1-11
    • Amoud, H.1    Snoussi, H.2    Hewson, D.J.3    Duchêne, J.4
  • 35
    • 0042379778 scopus 로고    scopus 로고
    • Recent developments in chaotic time series analysis
    • Lai Y-C, Ye N, Recent developments in chaotic time series analysis, Int J Bifurcation Chaos 13(6):1383-1422, 2003.
    • (2003) Int J Bifurcation Chaos , vol.13 , Issue.6 , pp. 1383-1422
    • Lai, Y.-C.1    Ye, N.2
  • 36
    • 80655124711 scopus 로고    scopus 로고
    • Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition
    • Pachori RB, Bajaj V, Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition, Computer Methods Prog Biomed 104(3):373-381, 2011.
    • (2011) Computer Methods Prog Biomed , vol.104 , Issue.3 , pp. 373-381
    • Pachori, R.B.1    Bajaj, V.2
  • 37
    • 84880995411 scopus 로고    scopus 로고
    • Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals
    • Bajaj V, Pachori RB, Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals, Biomed Eng Lett 3(1):17-21, 2013.
    • (2013) Biomed Eng Lett , vol.3 , Issue.1 , pp. 17-21
    • Bajaj, V.1    Pachori, R.B.2
  • 38
    • 84905719340 scopus 로고    scopus 로고
    • Gear fault diagnosis based on central tendency measure of intrinsic mode functions
    • Parey A, Pachori RB, Gear fault diagnosis based on central tendency measure of intrinsic mode functions, Int J COMADEM 17(3):15-22, 2014.
    • (2014) Int J COMADEM , vol.17 , Issue.3 , pp. 15-22
    • Parey, A.1    Pachori, R.B.2
  • 40
    • 78549254986 scopus 로고    scopus 로고
    • Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition
    • Pachori RB, Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition, Res Lett Signal Process 2008:1-5, 2008.
    • (2008) Res Lett Signal Process , vol.2008 , pp. 1-5
    • Pachori, R.B.1
  • 41
    • 38249004577 scopus 로고
    • Signal processing via Fourier-Bessel series expansion
    • Schroeder J, Signal processing via Fourier-Bessel series expansion, Digital Signal Process 3(2):112-124, 1993.
    • (1993) Digital Signal Process , vol.3 , Issue.2 , pp. 112-124
    • Schroeder, J.1
  • 43
    • 33846577297 scopus 로고    scopus 로고
    • A new technique to reduce cross terms in the Wigner distribution
    • Pachori RB, Sircar P, A new technique to reduce cross terms in the Wigner distribution, Digital Signal Process 17(2):466-474, 2007.
    • (2007) Digital Signal Process , vol.17 , Issue.2 , pp. 466-474
    • Pachori, R.B.1    Sircar, P.2
  • 44
    • 84911369306 scopus 로고    scopus 로고
    • Event-based method for instantaneous fundamental frequency estimation from voiced speech based on eigenvalue decomposition of the Hankel matrix
    • Jain P, Pachori RB, Event-based method for instantaneous fundamental frequency estimation from voiced speech based on eigenvalue decomposition of the Hankel matrix, IEEE/ACM Trans Audio Speech Lang Process 22(10):1467-1482, 2014.
    • (2014) IEEE/ACM Trans Audio Speech Lang Process , vol.22 , Issue.10 , pp. 1467-1482
    • Jain, P.1    Pachori, R.B.2
  • 46
    • 84860119809 scopus 로고    scopus 로고
    • Time-order representation based method for epoch detection from speech signals
    • Jain P, Pachori RB, Time-order representation based method for epoch detection from speech signals, J Intell Syst 21(1):79-95, 2012.
    • (2012) J Intell Syst , vol.21 , Issue.1 , pp. 79-95
    • Jain, P.1    Pachori, R.B.2
  • 47
    • 84938290154 scopus 로고    scopus 로고
    • Parametric representation of speech employing multi-component AFM signal model
    • Hood AS, Pachori RB, Reddy VK, Sircar P, Parametric representation of speech employing multi-component AFM signal model, Int J Speech Technol 18(3):287-303, 2015.
    • (2015) Int J Speech Technol , vol.18 , Issue.3 , pp. 287-303
    • Hood, A.S.1    Pachori, R.B.2    Reddy, V.K.3    Sircar, P.4
  • 48
    • 71649095504 scopus 로고    scopus 로고
    • Analysis of multicomponent AM-FM signals using FB-DESA method
    • Pachori RB, Sircar P, Analysis of multicomponent AM-FM signals using FB-DESA method, Digital Signal Process 20(1):42-62, 2010.
    • (2010) Digital Signal Process , vol.20 , Issue.1 , pp. 42-62
    • Pachori, R.B.1    Sircar, P.2
  • 49
    • 35248825924 scopus 로고    scopus 로고
    • EEG signal analysis using FB expansion and second-order linear TVAR process
    • Pachori RB, Sircar P, EEG signal analysis using FB expansion and second-order linear TVAR process, Signal Process 88(2):415-420, 2008.
    • (2008) Signal Process , vol.88 , Issue.2 , pp. 415-420
    • Pachori, R.B.1    Sircar, P.2
  • 50
    • 74049101116 scopus 로고    scopus 로고
    • Study of age-related changes in postural control during quiet standing through linear discriminant analysis
    • Cavalheiro GL, Almeida MFS, Pereira AA, Andrade AO, Study of age-related changes in postural control during quiet standing through linear discriminant analysis, BioMed Eng OnLine 8(35):1-13, 2009.
    • (2009) BioMed Eng OnLine , vol.8 , Issue.35 , pp. 1-13
    • Cavalheiro, G.L.1    Mfs, A.2    Pereira, A.A.3    Andrade, A.O.4
  • 52
    • 84892783589 scopus 로고    scopus 로고
    • Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions
    • Pachori RB, Patidar S, Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions, Computer Methods Prog Biomed 113(2):494-502, 2014.
    • (2014) Computer Methods Prog Biomed , vol.113 , Issue.2 , pp. 494-502
    • Pachori, R.B.1    Patidar, S.2
  • 53
    • 0029744119 scopus 로고    scopus 로고
    • Applying continuous chaotic modeling to cardiac signal analysis
    • Cohen ME, Hudson DL, Deedwania PC, Applying continuous chaotic modeling to cardiac signal analysis, Eng Med Biol Mag 15(5):97-102, 1996.
    • (1996) Eng Med Biol Mag , vol.15 , Issue.5 , pp. 97-102
    • Cohen, M.E.1    Hudson, D.L.2    Deedwania, P.C.3
  • 55
    • 84865980798 scopus 로고    scopus 로고
    • Classification of seizure and nonseizure EEG signals using empirical mode decomposition
    • Bajaj V, Pachori RB, Classification of seizure and nonseizure EEG signals using empirical mode decomposition, IEEE Trans Inform Technol Biomed 16(6):1135-1142, 2012.
    • (2012) IEEE Trans Inform Technol Biomed , vol.16 , Issue.6 , pp. 1135-1142
    • Bajaj, V.1    Pachori, R.B.2
  • 57
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens JAK, Vandewalle J, Least squares support vector machine classifiers, Neural Process Lett 9(3):293-300, 1999.
    • (1999) Neural Process Lett , vol.9 , Issue.3 , pp. 293-300
    • Jak, S.1    Vandewalle, J.2
  • 58
    • 37249031426 scopus 로고    scopus 로고
    • Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly
    • Khandoker AH, Lai DTH, Begg RK, Palaniswami M, Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly, IEEE Trans Neural Syst Rehabil Eng 15(4):587-597, 2007.
    • (2007) IEEE Trans Neural Syst Rehabil Eng , vol.15 , Issue.4 , pp. 587-597
    • Khandoker, A.H.1    Dth, L.2    Begg, R.K.3    Palaniswami, M.4
  • 59
    • 79955594660 scopus 로고    scopus 로고
    • Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection
    • Zavar M, Rahati S, Akbarzadeh-T M-R, Ghasemifard H, Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection, Expert Syst Appl 38(9):10751-10758, 2011.
    • (2011) Expert Syst Appl , vol.38 , Issue.9 , pp. 10751-10758
    • Zavar, M.1    Rahati, S.2    Akbarzadeh-T, M.-R.3    Ghasemifard, H.4
  • 60
    • 84908042448 scopus 로고    scopus 로고
    • Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
    • Sharma R, Pachori RB, Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions, Expert Syst Appl 42(3):1106-1117, 2015.
    • (2015) Expert Syst Appl , vol.42 , Issue.3 , pp. 1106-1117
    • Sharma, R.1    Pachori, R.B.2
  • 61
    • 84923365662 scopus 로고    scopus 로고
    • Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals
    • Sharma R, Pachori RB, Acharya UR, Application of entropy measures on intrinsic mode functions for the automated identification of focal electroencephalogram signals, Entropy 17(2):669-691, 2015.
    • (2015) Entropy , vol.17 , Issue.2 , pp. 669-691
    • Sharma, R.1    Pachori, R.B.2    Acharya, U.R.3
  • 63
    • 84904367466 scopus 로고    scopus 로고
    • Classification of cardiac sound signals using constrained tunable-Q wavelet transform
    • Patidar S, Pachori RB, Classification of cardiac sound signals using constrained tunable-Q wavelet transform, Expert Syst Appl 41(16):7161-7170, 2014.
    • (2014) Expert Syst Appl , vol.41 , Issue.16 , pp. 7161-7170
    • Patidar, S.1    Pachori, R.B.2
  • 64
    • 84920982950 scopus 로고    scopus 로고
    • Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals
    • Patidar S, Pachori RB, Garg N, Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals, Expert Syst Appl 42(7):3315-3326, 2015.
    • (2015) Expert Syst Appl , vol.42 , Issue.7 , pp. 3315-3326
    • Patidar, S.1    Pachori, R.B.2    Garg, N.3
  • 65
    • 84900583659 scopus 로고    scopus 로고
    • Performance analysis of support vector machines classifiers in breast cancer mammography recognition
    • Azar AT, El-Said SA, Performance analysis of support vector machines classifiers in breast cancer mammography recognition, Neural Comput Appl 24(5):1163-1177, 2014.
    • (2014) Neural Comput Appl , vol.24 , Issue.5 , pp. 1163-1177
    • Azar, A.T.1    El-Said, S.A.2
  • 67
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • San Francisco, CA, USA
    • Kohavi R, A study of cross-validation and bootstrap for accuracy estimation and model selection, Proc 14th Int Joint Conf Artificial Intelligence, San Francisco, CA, USA, pp. 1137-1143, 1995.
    • (1995) Proc 14th Int Joint Conf Artificial Intelligence , pp. 1137-1143
    • Kohavi, R.1
  • 69
    • 47649117704 scopus 로고    scopus 로고
    • Reduced short-term complexity of heart rate and blood pressure dynamics in patients with diabetes mellitus type 1: Multiscale entropy analysis
    • Trunkvalterova Z, Javorka M, Tonhajzerova I, Javorkova J, Lazarova Z, Javorka K, Baumert M, Reduced short-term complexity of heart rate and blood pressure dynamics in patients with diabetes mellitus type 1: Multiscale entropy analysis, Physiol Meas 29(7):817-828, 2008.
    • (2008) Physiol Meas , vol.29 , Issue.7 , pp. 817-828
    • Trunkvalterova, Z.1    Javorka, M.2    Tonhajzerova, I.3    Javorkova, J.4    Lazarova, Z.5    Javorka, K.6    Baumert, M.7
  • 70
    • 84864066504 scopus 로고    scopus 로고
    • Automated diagnosis of diabetes using heart rate variability signals
    • Seyd PTA, Joseph PK, Jacob J, Automated diagnosis of diabetes using heart rate variability signals, J Med Syst 36(3):1935-1941, 2012.
    • (2012) J Med Syst , vol.36 , Issue.3 , pp. 1935-1941
    • Pta, S.1    Joseph, P.K.2    Jacob, J.3
  • 71
    • 84881236483 scopus 로고    scopus 로고
    • Automated detection of diabetes by means of higher order spectral features obtained from heart rate signals
    • Jian LW, Lim T-C, Automated detection of diabetes by means of higher order spectral features obtained from heart rate signals, J Med Imaging Health Inform 3(3):440-447, 2013.
    • (2013) J Med Imaging Health Inform , vol.3 , Issue.3 , pp. 440-447
    • Jian, L.W.1    Lim, T.-C.2
  • 73
    • 84926250211 scopus 로고    scopus 로고
    • Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method
    • Acharya UR, Vidya KS, Ghista DN, Lim WJE, Molinari F, Sankaranarayanan M, Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method, Knowledge-Based Syst 81:56-64, 2015.
    • (2015) Knowledge-Based Syst , vol.81 , pp. 56-64
    • Acharya, U.R.1    Vidya, K.S.2    Ghista, D.N.3    Wje, L.4    Molinari, F.5    Sankaranarayanan, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.