메뉴 건너뛰기




Volumn 21, Issue 7, 2012, Pages 1617-1628

Adaptive neuro-fuzzy inference system for diagnosis of the heart valve diseases using wavelet transform with entropy

Author keywords

Adaptive neuro fuzzy inference system; Discrete wavelet transform; Entropy; Heart sound

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CLASSIFICATION ACCURACY; CLASSIFICATION OF HEART SOUNDS; FEATURE VECTORS; HEART SOUND SIGNAL; HEART SOUNDS; HEART VALVE DISEASE; INPUT PATTERNS; MITRAL STENOSIS; SHANNON ENTROPY; SUBBANDS;

EID: 84866441990     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0610-x     Document Type: Article
Times cited : (61)

References (69)
  • 1
    • 33646158448 scopus 로고    scopus 로고
    • A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope
    • Jiang Z, Choi S (2006) A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope. Exp Syst Appl 31(2): 286-298.
    • (2006) Exp Syst Appl , vol.31 , Issue.2 , pp. 286-298
    • Jiang, Z.1    Choi, S.2
  • 3
    • 33846419483 scopus 로고    scopus 로고
    • Classification of mitral stenosis from Doppler signals using short time Fourier transform and artificial neural Networks
    • Kara S (2007) Classification of mitral stenosis from Doppler signals using short time Fourier transform and artificial neural Networks. Exp Syst Appl 33: 468-475.
    • (2007) Exp Syst Appl , vol.33 , pp. 468-475
    • Kara, S.1
  • 7
    • 0141926712 scopus 로고    scopus 로고
    • Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress
    • Sinha RK (2003) Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress. Med Biol Eng Comput 41: 595-600.
    • (2003) Med Biol Eng Comput , vol.41 , pp. 595-600
    • Sinha, R.K.1
  • 9
    • 0033768206 scopus 로고    scopus 로고
    • Cardiovascular disease: foreword
    • O'Rourke RA (2000) Cardiovascular disease: foreword. Curr Probl Cardiol 25(11): 786-825.
    • (2000) Curr Probl Cardiol , vol.25 , Issue.11 , pp. 786-825
    • O'Rourke, R.A.1
  • 12
    • 24144435990 scopus 로고    scopus 로고
    • Diagnosing aortic valve stenosis by parameter extraction of heart sound signals
    • Voss A, Mix A, Huebner T (2005) Diagnosing aortic valve stenosis by parameter extraction of heart sound signals. Ann Biomed Eng 33: 1167-1174.
    • (2005) Ann Biomed Eng , vol.33 , pp. 1167-1174
    • Voss, A.1    Mix, A.2    Huebner, T.3
  • 13
    • 0036053481 scopus 로고    scopus 로고
    • Classifying coronary dysfunction using neural networks through cardiovascular auscultation
    • Folland R, Hines EL, Boilot P, Morgan D (2002) Classifying coronary dysfunction using neural networks through cardiovascular auscultation. Med Biol Eng Comput 40: 339-343.
    • (2002) Med Biol Eng Comput , vol.40 , pp. 339-343
    • Folland, R.1    Hines, E.L.2    Boilot, P.3    Morgan, D.4
  • 14
    • 37549047571 scopus 로고    scopus 로고
    • A Computer Aided MFCC based HMM system for automatic auscultation
    • Chauhan S, Wang P, Lim CS, Anantharaman V (2008) A Computer Aided MFCC based HMM system for automatic auscultation. Comput Biol Med 38(2): 221-233.
    • (2008) Comput Biol Med , vol.38 , Issue.2 , pp. 221-233
    • Chauhan, S.1    Wang, P.2    Lim, C.S.3    Anantharaman, V.4
  • 15
    • 34250850214 scopus 로고    scopus 로고
    • Backpropagation artificial neural network classifier to detect changes in heart sound due to mitral valve regurgitation
    • Sinha RK, Aggarwal Y, Das BN (2007) Backpropagation artificial neural network classifier to detect changes in heart sound due to mitral valve regurgitation. J Med Syst 31: 205-209.
    • (2007) J Med Syst , vol.31 , pp. 205-209
    • Sinha, R.K.1    Aggarwal, Y.2    Das, B.N.3
  • 16
    • 0031333339 scopus 로고    scopus 로고
    • Identification of aortic stenosis and mitral regurgitation by heart sound analysis
    • Hebden JE, Torry JN (1997) Identification of aortic stenosis and mitral regurgitation by heart sound analysis. Comput Cardiol 24: 109-112.
    • (1997) Comput Cardiol , vol.24 , pp. 109-112
    • Hebden, J.E.1    Torry, J.N.2
  • 18
    • 13144296645 scopus 로고    scopus 로고
    • A decision tree-based method for the differential diagnosis of aortic stenosis from mitral regurgitation using heart sounds
    • Pavlopoulos S, Stasis A, Loukis E (2004) A decision tree-based method for the differential diagnosis of aortic stenosis from mitral regurgitation using heart sounds. Biomed Eng OnLine (June 3): 1-5.
    • (2004) Biomed Eng OnLine , Issue.June 3 , pp. 1-5
    • Pavlopoulos, S.1    Stasis, A.2    Loukis, E.3
  • 19
    • 0036776528 scopus 로고    scopus 로고
    • An expert system for diagnosis of the heart valve diseases
    • Turkoglu I, Arslan A, Ilkay E (2002) An expert system for diagnosis of the heart valve diseases. Exp Syst Appl 23: 229-236.
    • (2002) Exp Syst Appl , vol.23 , pp. 229-236
    • Turkoglu, I.1    Arslan, A.2    Ilkay, E.3
  • 20
    • 16244367427 scopus 로고    scopus 로고
    • Classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics
    • Bhatikar SR, DeGroff C, Mahajan RL (2005) Classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics. Artif Intell Med 33: 251-260.
    • (2005) Artif Intell Med , vol.33 , pp. 251-260
    • Bhatikar, S.R.1    DeGroff, C.2    Mahajan, R.L.3
  • 22
    • 0029322622 scopus 로고
    • An introduction to wavelets
    • Graps A (1995) An introduction to wavelets. IEEE Comput Sci Eng 2(2): 50-61.
    • (1995) IEEE Comput Sci Eng , vol.2 , Issue.2 , pp. 50-61
    • Graps, A.1
  • 23
    • 64049084270 scopus 로고    scopus 로고
    • An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network
    • Wu J-D, Kuo J-M (2009) An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network. Exp Syst Appl 36(6): 9776-9783.
    • (2009) Exp Syst Appl , vol.36 , Issue.6 , pp. 9776-9783
    • Wu, J.-D.1    Kuo, J.-M.2
  • 24
    • 6444240833 scopus 로고    scopus 로고
    • ECG beat classifier designed by combined neural network model
    • Güler İ, Übeyli ED (2005) ECG beat classifier designed by combined neural network model. Pattern Recognit 38: 199-208.
    • (2005) Pattern Recognit , vol.38 , pp. 199-208
    • Güler, I.1    Übeyli, E.D.2
  • 25
    • 33846417971 scopus 로고    scopus 로고
    • Combined image compression and denoising using wavelets
    • Bruni V, Vitulano D (2007) Combined image compression and denoising using wavelets. Signal Process Image Commun 22(1): 86-101.
    • (2007) Signal Process Image Commun , vol.22 , Issue.1 , pp. 86-101
    • Bruni, V.1    Vitulano, D.2
  • 26
    • 33746872244 scopus 로고    scopus 로고
    • Image coding based on wavelet transform and uniform scalar dead zone quantizer
    • Chen J, Zhang Y, Shi X (2006) Image coding based on wavelet transform and uniform scalar dead zone quantizer. Signal Process Image Commun 21(7): 562-572.
    • (2006) Signal Process Image Commun , vol.21 , Issue.7 , pp. 562-572
    • Chen, J.1    Zhang, Y.2    Shi, X.3
  • 27
    • 56349099610 scopus 로고    scopus 로고
    • Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference
    • Wu J-D, Hsu C-C (2009) Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference. Exp Syst Appl 36(2): 3785-3794.
    • (2009) Exp Syst Appl , vol.36 , Issue.2 , pp. 3785-3794
    • Wu, J.-D.1    Hsu, C.-C.2
  • 28
    • 38649101533 scopus 로고    scopus 로고
    • Energy and entropy-based feature extraction for location fault on transmission lines by using neural network and wavelet packet decomposition
    • Ekici S, Yildirim S, Poyraz M (2008) Energy and entropy-based feature extraction for location fault on transmission lines by using neural network and wavelet packet decomposition. Exp Syst Appl 34: 2937-2944.
    • (2008) Exp Syst Appl , vol.34 , pp. 2937-2944
    • Ekici, S.1    Yildirim, S.2    Poyraz, M.3
  • 29
    • 7244258874 scopus 로고    scopus 로고
    • Wavelet-based neural network for power disturbance recognition and classification
    • Gaing XL (2004) Wavelet-based neural network for power disturbance recognition and classification. IEEE Trans Power Deliv 19: 1560-1568.
    • (2004) IEEE Trans Power Deliv , vol.19 , pp. 1560-1568
    • Gaing, X.L.1
  • 30
    • 0037683438 scopus 로고    scopus 로고
    • An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks
    • Turkoglu I, Arslan A, Ilkay E (2003) An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks. Comput Biol Med 33: 319-331.
    • (2003) Comput Biol Med , vol.33 , pp. 319-331
    • Turkoglu, I.1    Arslan, A.2    Ilkay, E.3
  • 31
    • 58549111381 scopus 로고    scopus 로고
    • Combined neural network model employing wavelet coefficients for EEG signals classification
    • Übeyli ED (2009) Combined neural network model employing wavelet coefficients for EEG signals classification. Digital Signal Process 19(2): 297-308.
    • (2009) Digital Signal Process , vol.19 , Issue.2 , pp. 297-308
    • Übeyli, E.D.1
  • 32
    • 58249098813 scopus 로고    scopus 로고
    • Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCGs signal
    • Babaei S, Geranmayeh A (2009) Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCGs signal. Comput Biol Med 39(1): 8-15.
    • (2009) Comput Biol Med , vol.39 , Issue.1 , pp. 8-15
    • Babaei, S.1    Geranmayeh, A.2
  • 33
    • 33751396389 scopus 로고    scopus 로고
    • EEG signal classification using wavelet feature extraction and a mixture of expert model
    • Subasi A (2007) EEG signal classification using wavelet feature extraction and a mixture of expert model. Exp Syst Appl 32(4): 1084-1093.
    • (2007) Exp Syst Appl , vol.32 , Issue.4 , pp. 1084-1093
    • Subasi, A.1
  • 35
    • 38649103202 scopus 로고    scopus 로고
    • A combined adaptive network and fuzzy inference system (ANFIS) approach for overcurrent relay system
    • Geethanjali M, Mary S, Slochanal R (2008) A combined adaptive network and fuzzy inference system (ANFIS) approach for overcurrent relay system. Neurocomputing 71: 895-903.
    • (2008) Neurocomputing , vol.71 , pp. 895-903
    • Geethanjali, M.1    Mary, S.2    Slochanal, R.3
  • 36
    • 58349095159 scopus 로고    scopus 로고
    • Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques
    • Subasi A, Yilmaz AS, Binici H (2009) Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques. Exp Syst Appl 36: 4940-4950.
    • (2009) Exp Syst Appl , vol.36 , pp. 4940-4950
    • Subasi, A.1    Yilmaz, A.S.2    Binici, H.3
  • 37
    • 0027601884 scopus 로고
    • ANFIS: Adaptive network based fuzzy inference system, IEEE transactions on systems
    • Jang JSR (1993) ANFIS: Adaptive network based fuzzy inference system, IEEE transactions on systems. Man Cybern 23(3): 665-683.
    • (1993) Man Cybern , vol.23 , Issue.3 , pp. 665-683
    • Jang, J.S.R.1
  • 38
    • 3242764614 scopus 로고    scopus 로고
    • Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction
    • Güler I, Übeyli ED (2004) Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction. Exp Syst Appl 27: 323-330.
    • (2004) Exp Syst Appl , vol.27 , pp. 323-330
    • Güler, I.1    Übeyli, E.D.2
  • 39
    • 23944506015 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signals
    • Übeyli ED, Güler I (2005) Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signals. Comput Biol Med 35: 687-702.
    • (2005) Comput Biol Med , vol.35 , pp. 687-702
    • Übeyli, E.D.1    Güler, I.2
  • 41
    • 67349239812 scopus 로고    scopus 로고
    • Forecasting stock market short-term trends using a neuro-fuzzy based methodology
    • Atsalakis GS, Valavanis KP (2009) Forecasting stock market short-term trends using a neuro-fuzzy based methodology. Exp Syst Appl 36: 10696-10707.
    • (2009) Exp Syst Appl , vol.36 , pp. 10696-10707
    • Atsalakis, G.S.1    Valavanis, K.P.2
  • 42
    • 36148937929 scopus 로고    scopus 로고
    • Comparison of neuro-fuzzy systems for classification of transcranial doppler signals with their chaotic invariant measures
    • Ozturk A, Arslan A, Hardalac F (2008) Comparison of neuro-fuzzy systems for classification of transcranial doppler signals with their chaotic invariant measures. Exp Syst Appl 34(2): 1044-1055.
    • (2008) Exp Syst Appl , vol.34 , Issue.2 , pp. 1044-1055
    • Ozturk, A.1    Arslan, A.2    Hardalac, F.3
  • 43
    • 37349082291 scopus 로고    scopus 로고
    • Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification
    • Sengur A (2008) Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification. Exp Syst Appl 34(3): 2120-2128.
    • (2008) Exp Syst Appl , vol.34 , Issue.3 , pp. 2120-2128
    • Sengur, A.1
  • 44
    • 34248587899 scopus 로고    scopus 로고
    • A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive
    • Elmas C, Ustun O, Sayan HH (2008) A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive. Exp Syst Appl 34(1): 657-664.
    • (2008) Exp Syst Appl , vol.34 , Issue.1 , pp. 657-664
    • Elmas, C.1    Ustun, O.2    Sayan, H.H.3
  • 45
    • 2942564462 scopus 로고    scopus 로고
    • Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study
    • Vieira J, Dias FM, Mota A (2004) Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. Eng Appl Artif Intell 17: 265-273.
    • (2004) Eng Appl Artif Intell , vol.17 , pp. 265-273
    • Vieira, J.1    Dias, F.M.2    Mota, A.3
  • 46
    • 4544367996 scopus 로고    scopus 로고
    • Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach
    • Aguilar L, Melin P, Castillo O (2003) Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach. Appl Soft Comput 3: 209-219.
    • (2003) Appl Soft Comput , vol.3 , pp. 209-219
    • Aguilar, L.1    Melin, P.2    Castillo, O.3
  • 47
    • 33847612852 scopus 로고    scopus 로고
    • An expert discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition
    • Avci E, Hanbay D, Varol A (2007) An expert discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition. Exp Syst Appl 33(3): 582-589.
    • (2007) Exp Syst Appl , vol.33 , Issue.3 , pp. 582-589
    • Avci, E.1    Hanbay, D.2    Varol, A.3
  • 48
    • 34047251505 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on multiple ANFIS combination with gas
    • Lei Y, He Z, Zi Y, Hu Q (2007) Fault diagnosis of rotating machinery based on multiple ANFIS combination with gas. Mech Syst Signal Process 21: 2280-2294.
    • (2007) Mech Syst Signal Process , vol.21 , pp. 2280-2294
    • Lei, Y.1    He, Z.2    Zi, Y.3    Hu, Q.4
  • 49
    • 33847623249 scopus 로고    scopus 로고
    • Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFIS
    • Polat K, Gunes S (2007) Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFIS. Exp Syst Appl 33(3): 1636-1664.
    • (2007) Exp Syst Appl , vol.33 , Issue.3 , pp. 1636-1664
    • Polat, K.1    Gunes, S.2
  • 50
    • 37349095760 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders
    • Übeyli ED (2008) Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders. Exp Syst Appl 34: 2201-2209.
    • (2008) Exp Syst Appl , vol.34 , pp. 2201-2209
    • Übeyli, E.D.1
  • 51
    • 59149084224 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents
    • Übeyli ED (2009) Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents. Comput Methods Progr Biomed 9(3): 313-321.
    • (2009) Comput Methods Progr Biomed , vol.9 , Issue.3 , pp. 313-321
    • Übeyli, E.D.1
  • 52
    • 0036161338 scopus 로고    scopus 로고
    • Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network based fuzzy inference system
    • Belal SY, Taktak AFG, Nevill AJ, Spencer SA, Roden D, Bevan S (2002) Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network based fuzzy inference system. Artif Intell Med 24: 149-165.
    • (2002) Artif Intell Med , vol.24 , pp. 149-165
    • Belal, S.Y.1    Taktak, A.F.G.2    Nevill, A.J.3    Spencer, S.A.4    Roden, D.5    Bevan, S.6
  • 53
    • 84860250399 scopus 로고    scopus 로고
    • A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases
    • doi: 10. 1007/s10916-010-9446-7 (in press)
    • Uǧuz H (2010) A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases. J Med Syst. doi: 10. 1007/s10916-010-9446-7 (in press).
    • (2010) J Med Syst
    • Uǧuz, H.1
  • 54
    • 84863319669 scopus 로고    scopus 로고
    • Ms thesis, Institute of Natural and Applied Science, Afyon Kocatepe University, Afyonkarahisar, Turkey
    • Güraksi{dotless}n GE (2009) Classification of the heart sounds via artificial neural network. Ms thesis, Institute of Natural and Applied Science, Afyon Kocatepe University, Afyonkarahisar, Turkey.
    • (2009) Classification of the heart sounds via artificial neural network
    • Güraksin, G.E.1
  • 55
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • Ocak H (2009) Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Exp Syst Appl 36: 2027-2036.
    • (2009) Exp Syst Appl , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 56
    • 24344500897 scopus 로고    scopus 로고
    • Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition
    • Purushotham V, Narayanan S, Parasad SAN (2005) Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition. NDT& E International 38: 654-666.
    • (2005) NDT& E International , vol.38 , pp. 654-666
    • Purushotham, V.1    Narayanan, S.2    Parasad, S.A.N.3
  • 58
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat SG (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7): 674-693.
    • (1989) IEEE Trans Pattern Anal Mach Intell , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 60
    • 0037086241 scopus 로고    scopus 로고
    • Nonextensive entropy measure of EEG following brain injury from cardiac arrest
    • Tong S, Bezerianos A, Paul J, Zhu Y, Thakor N (2002) Nonextensive entropy measure of EEG following brain injury from cardiac arrest. Phys A Stat Mech Appl 305(3-4): 619-628.
    • (2002) Phys A Stat Mech Appl , vol.305 , Issue.3-4 , pp. 619-628
    • Tong, S.1    Bezerianos, A.2    Paul, J.3    Zhu, Y.4    Thakor, N.5
  • 62
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27: 623-656.
    • (1948) Bell Syst Tech J , vol.27 , pp. 623-656
    • Shannon, C.E.1
  • 63
    • 0035090998 scopus 로고    scopus 로고
    • Derived fuzzy knowledge model for estimating the depth of anesthesia
    • Zhang XS, Roy RJ (2001) Derived fuzzy knowledge model for estimating the depth of anesthesia. IEEE Trans Biomed Eng 48(3): 312-323.
    • (2001) IEEE Trans Biomed Eng , vol.48 , Issue.3 , pp. 312-323
    • Zhang, X.S.1    Roy, R.J.2
  • 65
    • 60249085301 scopus 로고    scopus 로고
    • Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction
    • Yildiz A, Akin M, Poyraz M, Kirbas G (2009) Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction. Exp Syst Appl 36: 7390-7399.
    • (2009) Exp Syst Appl , vol.36 , pp. 7390-7399
    • Yildiz, A.1    Akin, M.2    Poyraz, M.3    Kirbas, G.4
  • 67
    • 44949255368 scopus 로고    scopus 로고
    • An expert system for predicting aeration performance of weirs by using ANFIS
    • Baylar A, Hanbay D, Ozpolat E (2008) An expert system for predicting aeration performance of weirs by using ANFIS. Exp Syst Appl 35: 1214-1222.
    • (2008) Exp Syst Appl , vol.35 , pp. 1214-1222
    • Baylar, A.1    Hanbay, D.2    Ozpolat, E.3
  • 68
    • 5644255894 scopus 로고    scopus 로고
    • Automatic recognition of alertness level by using wavelet transform and artificial neural network
    • Kiymik MK, Akin M, Subasi A (2004) Automatic recognition of alertness level by using wavelet transform and artificial neural network. J Neurosci Methods 139: 231-240.
    • (2004) J Neurosci Methods , vol.139 , pp. 231-240
    • Kiymik, M.K.1    Akin, M.2    Subasi, A.3
  • 69
    • 71749098694 scopus 로고    scopus 로고
    • Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform
    • Cherif LH, Debbal SM, Bereksi-Reguig F (2010) Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform. Exp Syst Appl 37: 913-918.
    • (2010) Exp Syst Appl , vol.37 , pp. 913-918
    • Cherif, L.H.1    Debbal, S.M.2    Bereksi-Reguig, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.