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Volumn 36, Issue 3, 2006, Pages 276-290

Detection of gastric dysrhythmia using WT and ANN in diabetic gastroparesis patients

Author keywords

Artificial neural network; Electrogastrography; Gastric electrical dysrhythmia; Spectral analysis; Wavelet transform

Indexed keywords

COST EFFECTIVENESS; ELECTROCARDIOGRAPHY; NEURAL NETWORKS; PATIENT TREATMENT; PATTERN RECOGNITION; SPECTRUM ANALYSIS; WAVELET TRANSFORMS;

EID: 31544441361     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.01.002     Document Type: Article
Times cited : (23)

References (42)
  • 2
    • 0016699814 scopus 로고
    • Gastrointestinal electrical activity: Terminology
    • S.K. Sarna Gastrointestinal electrical activity terminology Gastroenterology 68 1975 1631 1635
    • (1975) Gastroenterology , vol.68 , pp. 1631-1635
    • Sarna, S.K.1
  • 3
    • 0032197082 scopus 로고    scopus 로고
    • Continuous wavelet analysis as an aid in the representation and interpretation of electrogastrographic signals
    • W. Qiao, H.H. Sun, W.Y. Chey, and K.Y. Lee Continuous wavelet analysis as an aid in the representation and interpretation of electrogastrographic signals Ann. Biomed. Eng. 26 1998 1072 1081
    • (1998) Ann. Biomed. Eng. , vol.26 , pp. 1072-1081
    • Qiao, W.1    Sun, H.H.2    Chey, W.Y.3    Lee, K.Y.4
  • 4
    • 84943987906 scopus 로고
    • The electrogastrogram and what it shows
    • W.C. Alvarez The electrogastrogram and what it shows J. Am. Med. Assoc. 1922 116 119
    • (1922) J. Am. Med. Assoc. , pp. 116-119
    • Alvarez, W.C.1
  • 6
    • 0025970910 scopus 로고
    • Can transcutaneous recordings detect gastric electrical abnormalities
    • B.O. Familoni, K.L. Bowes, Y. Kingma, and K.R. Cote Can transcutaneous recordings detect gastric electrical abnormalities Gut 32 1991 141 146
    • (1991) Gut , vol.32 , pp. 141-146
    • Familoni, B.O.1    Bowes, K.L.2    Kingma, Y.3    Cote, K.R.4
  • 7
    • 0029278158 scopus 로고
    • Non-invasive identification of gastric contractions from surface electrogastrogram using backpropagation neural networks
    • J.D. Chen, Z. Lin, Q. Wut, and R.W. McCallum Non-invasive identification of gastric contractions from surface electrogastrogram using backpropagation neural networks Med. Eng. Phys. 17 1995 219 225
    • (1995) Med. Eng. Phys. , vol.17 , pp. 219-225
    • Chen, J.D.1    Lin, Z.2    Wut, Q.3    McCallum, R.W.4
  • 8
    • 0023772461 scopus 로고
    • Electrogastrography: Current assessment and future perspectives
    • T.L. Abell, and J.R. Malagelada Electrogastrography current assessment and future perspectives Dig. Dis. Sci. 33 1988 982 992
    • (1988) Dig. Dis. Sci. , vol.33 , pp. 982-992
    • Abell, T.L.1    Malagelada, J.R.2
  • 10
    • 0027461988 scopus 로고
    • Frequency components of the electrogastrogram and their correlation with gastrointestinal contractions in humans
    • J.D.Z. Chen, R.W. McCallum, and R. Richards Frequency components of the electrogastrogram and their correlation with gastrointestinal contractions in humans Med. Biol. Eng. Comput. 31 1993 60 67
    • (1993) Med. Biol. Eng. Comput. , vol.31 , pp. 60-67
    • Chen, J.D.Z.1    McCallum, R.W.2    Richards, R.3
  • 11
    • 0024418135 scopus 로고
    • Gastric emptying and gastric myoelectrical activity in patients with diabetic gastroparesis; Effect of long term domperidone treatment
    • K.L. Koch, R.M. Sterm, W.R. Stewart, and M.W. Vasey Gastric emptying and gastric myoelectrical activity in patients with diabetic gastroparesis; effect of long term domperidone treatment Am. J. Gastroenterol. 84 1989 1069 1075
    • (1989) Am. J. Gastroenterol. , vol.84 , pp. 1069-1075
    • Koch, K.L.1    Sterm, R.M.2    Stewart, W.R.3    Vasey, M.W.4
  • 12
    • 0024116450 scopus 로고
    • Use of spectral analysis in the detection of frequency differences in the electrogastrograms of normal and diabetic Subjects
    • C.J. Pfister, J.W. Hamilton, N. Nagel, P. Bass, J.G. Webster, and W.J. Tompkins Use of spectral analysis in the detection of frequency differences in the electrogastrograms of normal and diabetic Subjects IEEE Trans. Bio. Med. Eng. 35 1988 935 941
    • (1988) IEEE Trans. Bio. Med. Eng. , vol.35 , pp. 935-941
    • Pfister, C.J.1    Hamilton, J.W.2    Nagel, N.3    Bass, P.4    Webster, J.G.5    Tompkins, W.J.6
  • 13
    • 0028236848 scopus 로고
    • Time-frequency representation of the electrogastrogram - Application of the exponential distribution
    • Z. Lin, and J.D. Chen Time-frequency representation of the electrogastrogram - application of the exponential distribution IEEE Trans. Bio. Med. Eng. 41 1994 267 275
    • (1994) IEEE Trans. Bio. Med. Eng. , vol.41 , pp. 267-275
    • Lin, Z.1    Chen, J.D.2
  • 15
    • 0027218240 scopus 로고
    • Accuracy of cutaneous recordings of gastric electrical activity
    • M.P. Mintchev, Y.J. Kingma, and K.L. Bowes Accuracy of cutaneous recordings of gastric electrical activity Gastroenterology 104 1993 1273 1280
    • (1993) Gastroenterology , vol.104 , pp. 1273-1280
    • Mintchev, M.P.1    Kingma, Y.J.2    Bowes, K.L.3
  • 16
    • 0024544155 scopus 로고
    • Effect of inhibition of prostaglandin synthesis on epinephrine-induced gastroduodenal electromechanical changes in humans
    • C.H. Kim, R.B. Hanson, T.L. Abell, and J.R. Malagelada Effect of inhibition of prostaglandin synthesis on epinephrine-induced gastroduodenal electromechanical changes in humans Mayo Clin. Proc. 64 1989 149 157
    • (1989) Mayo Clin. Proc. , vol.64 , pp. 149-157
    • Kim, C.H.1    Hanson, R.B.2    Abell, T.L.3    Malagelada, J.R.4
  • 17
    • 0021367666 scopus 로고
    • Study of electromechanical activity of the stomach in humans and in dogs with particular attention to tachygastria
    • C.H. You, and W.Y. Chey Study of electromechanical activity of the stomach in humans and in dogs with particular attention to tachygastria Gastroenterology 86 1984 1460 1468
    • (1984) Gastroenterology , vol.86 , pp. 1460-1468
    • You, C.H.1    Chey, W.Y.2
  • 18
    • 0038561223 scopus 로고    scopus 로고
    • Electrogastrography: A document prepared by the gastric section of the American Motility Society Clinical GI Motility Testing Task Force
    • H.P. Parkman, W.L. Hasler, J.L. Barnett, and E.Y. Eaker Electrogastrography a document prepared by the gastric section of the American Motility Society Clinical GI Motility Testing Task Force Neurogastroenterol. Motil. 15 2003 89 102
    • (2003) Neurogastroenterol. Motil. , vol.15 , pp. 89-102
    • Parkman, H.P.1    Hasler, W.L.2    Barnett, J.L.3    Eaker, E.Y.4
  • 19
    • 0001942222 scopus 로고
    • J.S. Limand, A.V. Oppenheim (Eds.), Prentice-Hall, Englewood Cliffs, NJ
    • S.H. Nawap, T.F. Quatieri (Eds.), Short Time Fourier Transform, in: J.S. Limand, A.V. Oppenheim (Eds.), Prentice-Hall, Englewood Cliffs, NJ, 1988, pp. 239-337.
    • (1988) Short Time Fourier Transform , pp. 239-337
    • Nawap, S.H.1    Quatieri, T.F.2
  • 20
    • 0027757122 scopus 로고
    • Spectral analysis of episodic rhythmic variations in the cutaneous electrogastrogram
    • J.D. Chen, W.R. Stewart, and R.W. McCallum Spectral analysis of episodic rhythmic variations in the cutaneous electrogastrogram IEEE Trans. Bio. Med. Eng. 40 1993 128 135
    • (1993) IEEE Trans. Bio. Med. Eng. , vol.40 , pp. 128-135
    • Chen, J.D.1    Stewart, W.R.2    McCallum, R.W.3
  • 21
    • 0032607852 scopus 로고    scopus 로고
    • Filter banks and neural network-based feature extraction and automatic classification of electrogastrogram
    • Z. Wang, Z. He, and J.D. Chen Filter banks and neural network-based feature extraction and automatic classification of electrogastrogram Ann. Biomed. Eng. 27 1999 88 95
    • (1999) Ann. Biomed. Eng. , vol.27 , pp. 88-95
    • Wang, Z.1    He, Z.2    Chen, J.D.3
  • 22
    • 0034297647 scopus 로고    scopus 로고
    • Analysis of Doppler ultrasound blood flow signal basing on wavelet transform
    • J.H. Li, H. Peng, Y.Y. Du, J.H. Li, and W.H. Wang Analysis of Doppler ultrasound blood flow signal basing on wavelet transform J. Northeastern Univ. (Nat. Sci.) 21 5 2000 487 489
    • (2000) J. Northeastern Univ. (Nat. Sci.) , vol.21 , Issue.5 , pp. 487-489
    • Li, J.H.1    Peng, H.2    Du, Y.Y.3    Li, J.H.4    Wang, W.H.5
  • 23
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • R.P. Lippmann An introduction to computing with neural nets IEEE ASSP Mag. 1987 4 22
    • (1987) IEEE ASSP Mag. , pp. 4-22
    • Lippmann, R.P.1
  • 25
    • 0347987244 scopus 로고
    • Real-time artificial neural network computing systems
    • D. Gluch Real-time artificial neural network computing systems Int. J. Mini-micro 11 1989 65
    • (1989) Int. J. Mini-micro , vol.11 , pp. 65
    • Gluch, D.1
  • 26
    • 5844221410 scopus 로고
    • Using a PC: Based neural network to estimate the ejection fraction of a human heart
    • P.A. Karkhanis, J.Y. Cheung, and S.M. Teague Using a PC based neural network to estimate the ejection fraction of a human heart Int. J. Microcomput. Appl. 9 1990 99
    • (1990) Int. J. Microcomput. Appl. , vol.9 , pp. 99
    • Karkhanis, P.A.1    Cheung, J.Y.2    Teague, S.M.3
  • 27
    • 0011797905 scopus 로고
    • Using a transition-invariant neural network to diagnose heart arrhythmia
    • S.C. Lee Using a transition-invariant neural network to diagnose heart arrhythmia Proc. IEEE Int. Conf. Eng. Med. Biol. Soc. 1989 2025 2026
    • (1989) Proc. IEEE Int. Conf. Eng. Med. Biol. Soc. , pp. 2025-2026
    • Lee, S.C.1
  • 28
    • 0026538784 scopus 로고
    • Automated recognition of corrupted arterial wave forms using neural network techniques
    • T. Pike, and R.A. Mustart Automated recognition of corrupted arterial wave forms using neural network techniques Comput. Biol. Med. 22 1992 173 179
    • (1992) Comput. Biol. Med. , vol.22 , pp. 173-179
    • Pike, T.1    Mustart, R.A.2
  • 29
    • 0025405461 scopus 로고
    • The application of neural network to myoelectric signal analysis: A preliminary study
    • M.F. Kelly The application of neural network to myoelectric signal analysis a preliminary study IEEE Trans. Biol. Med. Eng. 37 1990 221 230
    • (1990) IEEE Trans. Biol. Med. Eng. , vol.37 , pp. 221-230
    • Kelly, M.F.1
  • 30
    • 0026884839 scopus 로고
    • A movement pattern generator model using artificial neural network
    • S. Srinivasan, R.E. Gander, and H.C. Wood A movement pattern generator model using artificial neural network IEEE Trans. Biol. Med. Eng. 39 1992 716 722
    • (1992) IEEE Trans. Biol. Med. Eng. , vol.39 , pp. 716-722
    • Srinivasan, S.1    Gander, R.E.2    Wood, H.C.3
  • 31
    • 0026969987 scopus 로고
    • Feature-based detection of the K-complex wave in the human electroencephalogram using neural networks
    • I.N. Barkman, V.G. Sigillito, R.A. Wise, and P.L. Smith Feature-based detection of the K-complex wave in the human electroencephalogram using neural networks IEEE Trans. Biol. Med. Eng. 39 1992 1305 1309
    • (1992) IEEE Trans. Biol. Med. Eng. , vol.39 , pp. 1305-1309
    • Barkman, I.N.1    Sigillito, V.G.2    Wise, R.A.3    Smith, P.L.4
  • 33
    • 0034327929 scopus 로고    scopus 로고
    • Micro-emboli detection: An ultrasound Doppler signal processing viewpoint
    • J.M. Girault, D. Kouame, A. Ouahabi, and F. Patat Micro-emboli detection an ultrasound Doppler signal processing viewpoint IEEE Trans. Biomed. Eng. 47 2000 1431 1439
    • (2000) IEEE Trans. Biomed. Eng. , vol.47 , pp. 1431-1439
    • Girault, J.M.1    Kouame, D.2    Ouahabi, A.3    Patat, F.4
  • 37
    • 0037387588 scopus 로고    scopus 로고
    • A comparison of algorithms for detection of spikes in the electroencephalogram
    • C.C. Pang, A.R. Upton, G. Shine, and M.V. Kamath A comparison of algorithms for detection of spikes in the electroencephalogram IEEE Trans. Biomed. Eng. 50 2003 521 526
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , pp. 521-526
    • Pang, C.C.1    Upton, A.R.2    Shine, G.3    Kamath, M.V.4
  • 38
  • 39
    • 0023088668 scopus 로고
    • Running spectrum analysis as an aid in the representation and interpretation of electrogastrographic signals
    • E.T. van der Schee, and J.L. Grashius Running spectrum analysis as an aid in the representation and interpretation of electrogastrographic signals Med. Biol. Eng. Comput. 25 1987 57 62
    • (1987) Med. Biol. Eng. Comput. , vol.25 , pp. 57-62
    • Van Der Schee, E.T.1    Grashius, J.L.2
  • 41
    • 0029270805 scopus 로고
    • Artificial neural networks for feature extraction and multivariate data projection
    • J. Mao, and A.K. Jain Artificial neural networks for feature extraction and multivariate data projection IEEE Trans. Neural Networks 6 1995 296 317
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 296-317
    • Mao, J.1    Jain, A.K.2
  • 42
    • 0035034374 scopus 로고    scopus 로고
    • Detection of delayed gastric emptying from electrogastrograms with support vector machine
    • H. Liang, and Z. Lin Detection of delayed gastric emptying from electrogastrograms with support vector machine IEEE Trans. Biomed. Eng. 48 2001 601 604
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , pp. 601-604
    • Liang, H.1    Lin, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.