Extraction of gastric slow waves from electrogastrograms: Combining independent component analysis and adaptive signal enhancement

Medical and Biological Engineering and Computing

Volumn 43, Issue 2, 2005, Pages 245-251

  Liang, Hualou ^a  

^a UNIVERSITY OF TEXAS   (United States)

Author keywords

Adaptive filter; Blind source separation; Electrogastrogram; Hilbert transform; Independent component analysis

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; ESTIMATION; GASTROENTEROLOGY; INDEPENDENT COMPONENT ANALYSIS; SIGNAL PROCESSING; WAVE PROPAGATION;

CUTANEOUS MEASUREMENT; ELECTROGASTROGRAM (ECG); GASTRIC ELECTRICAL ACTIVITY; GASTRIC SLOW WAVES;

BIOMEDICAL ENGINEERING;

ALGORITHM; ARTICLE; ELECTROGASTROGRAPHY; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL COMPUTING; MYOELECTRICITY; NORMAL HUMAN; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; SIMULATION; STOMACH MUSCLE;

BIOLOGICAL CLOCKS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; GASTRIC EMPTYING; HUMANS; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOMACH;

EID: 18144378847     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02345962     Document Type: Article

References (42)

1. Alvarez, W. C. (1922): 'The electrogastrogram, and what it shows', J. Am. Med. Assoc., 78, pp. 1116-1118
2. Amari, S., Cichocki, A., and Yang, H. H. (1996): 'A new learning algorithm for blind signal separation', in 'Advances in neural information processing systems 8' (MIT Press, 1996)
3. Bell, T. J., and Sejnowski, T. J. (1995): 'An information-maximization approach to blind separation, and blind deconvolution', Neural Comput., 7, pp. 1129-1159
4. Cardoso, J.-F.: 'Jade for real-valued data', http://sig.enst.fr/Cardoso/guidesepsou.html.
5. Cardoso, J.-F. (1998): 'Blind signal separation: statistical principles', Proc. IEEE, 90, pp. 2009-2026
6. Cardoso, J. -F. (1999): 'High-order contrasts for independent component analysis', Neural Comput., 11, pp. 157-192
7. Chen, J. D. Z., Vandewalle, J., and Sansen, W. (1989): 'Adaptive method for cancellation of respiration artifact in electrogastric measurements', Med. Biol. Eng. Comput., 27, pp. 57-63
8. Chen, J. D. Z., and McCallum, R. W. (1991): 'Electrogastrography: measurement, analysis and prospective application', Med. Biol. Eng. Comput., 29, pp. 339-350
9. Chen, J. D. Z., and McCallum, R. W. (1993): 'Clinical application of electrogastrogram', Am. J. Gastroenterol., 88, pp. 1324-1336
10. Chen, J. D. Z., and Lin, Z. (1994): 'Comparison of adaptive filtering in time-, transform-, and frequency-domain: An electrogastrographic study', Ann. Biomed. Eng., 22, pp. 423-431
11. Chen, J. D. Z., Zou, X., Lin, X., Ouyang, S., and Liang, J. (1999): 'Detection of gastric slow wave propagation from the cutaneous electrogastrogram', Gastrointest. Liver Physiol., 40, pp. G424-G430
12. Ferrara, E. R., and Widrow, B. (1981): 'Multichannel adaptive filtering for signal enhancement', IEEE Acoust. Speech Signal Process, 29, pp. 53-62
13. Haykin, S. (2002): 'Adaptive filter theory, 4th edn' (Prentice-Hall, Inc., Upper Saddle River, NJ, 2002)
14. Hyvärinen, A. (1999): 'Fast, and robust fixed-point algorithms for independent component analysis', IEEE Trans. Neural Netw., 10, pp. 626-634
15. Hyvärinen, A. 'The fast ica matlab package', http://www.cis.hut.fi/aapo.
16. Hyvärinen, A. (1999): 'Survey on independent component analysis', Neural Comput. Surv., 2, pp. 94-128
17. Hyvärinen, A., Karhunen, J., and Oja, E. (2001): ' Independent component analysis' (John Wiley & Sons, 2001)
18. Jung, T. -P., Makeig, S., McKeown, M. J., Bell, A. J., Lee, T. W., and Sejknowski, T. J. (2001): 'Imaging brain dynamics using independent component analysis', Proc. IEEE, 89, pp. 1101-1122
19. Koch, K. L., Stewart, W. R., Stern, R. M., and Vasey, M. W. (1987): 'Electrogastrography: current issues in validation and methodology', Psychophysiology, 24, pp. 55-64
20. Kothapalli, B. (1993): 'Electrogastrogram simulation using a three-dimensional model', Med. Biol. Eng. Comput., 31, pp. 482-486
21. Lee, T. -W. (1998): 'Independent component analysis: theory and applications' (Kluwer Academic Publishers, Boston, MA, 1998)
22. Lee, T.-W., Girolami, M., and Sejnowski, T. J. (1999): 'Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources', Neural Comput., 11, pp. 417-441
23. Lee, T.-W., Bell, A. J., Girolami, M., and Sejnowski, T. J. (2000): 'A unifying information-theoretic framework for independent component analysis', Comput. Math. Appl., 31, pp. 1-21
24. Liang, H. (2001): 'Adaptive independent component analysis of multichannel electrogastrograms', Med. Eng. Phys., 23, pp. 91-97
25. Liang, H., Yin, F., Lin, Z., and McCallum, R.W. (2004): 'A combined method for extraction of gastric slow waves from multichannel electrogastrograms', Neurogastroenterol. Motil., 16, p. 9.
26. Liang, J., and Chen, J. D. Z. (1997): 'What can be measured from surface electrogastrography', Dig. Dis. Sci., 42, pp. 1331-1343
27. Lin, Z., and Chen, J. D. Z. (1994): 'Recursive running dct algorithm and its application in adaptive filtering of surface electrical recording of small intestine', Med. Biol. Eng. Comput., 32, pp. 317-322
28. Lin, Z., Liang, H., and McCallum, R. W. (2000): 'Combined methods for recovery of gastric slow waves from multichannel electrogastriograms', Proc. 22nd Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., pp. 1345-1348
29. Lu, W., and Rajapakse, J. C. (2001): 'ICA with reference', Proc. Third Int. Conf. on ICA and Blind Source Separation, pp. 120-125
30. Makeig, S.: Ica/eeg toolbox. computational neurobiology laboratory, the salk institute, http://www.cnl.salk.edu/tewon/ica_cnl.html.
31. Mintchev, M. P., Kingma, Y. J., and Bowes, K. L. (1993): 'Accuracy of cutaneous recordings of gastric electrical activity', Gastroenterology, 104, pp. 1273-1280
32. Narayan, S. S., Peterson, A. M., and Narasimha, M. J. (1983): 'Transform domain lms algorithm', IEEE Trans Acoust. Speech Signal Process, 31, pp. 609-614
33. Ohata, M., Matsuomoto, T., Shigematsu, A., and Matsuoka, K. (2003): 'Independent component analysis of electrogastrogram data', Proc. 4th Int. Symposium on ICA and Blind Signal Separation, Nara, Japan, pp. 53-58
34. Oppenheim, A., and Schaffer, R. (1975): 'Digital signal processing' (Prentice-Hall, New Jersey, 1975)
35. Pearlmutter, B. A., and Parra L. C. (1996): 'A context-sensitive generalization of ica', Proc. ICONIP, pp. 151-157
36. Sarna, S. K. (1975): 'Gastrointestinal electrical activity: Terminology', Gastroenterology, 68, pp. 1631-1635
37. Treichler, J. R. (1979): 'Transient and convergent behavior of the adaptive line enhancer', IEEE Trans. Acoust. Speech Signal Process., 27, pp. 53-62
38. Verhagen, M. A. M. T., Samson, M., Schelven, L. J. V., and Smout, A. J. P. M. (1999): 'Pitfalls in the analysis of electrogastrographic recordings', Gastroenterology, 117, pp. 453-460
39. Wang, Z. S., Cheung, J. Y., and Chen, J. D. Z. (1999): 'Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network', Med. Biol. Eng. Comput., 37, pp. 80-86
40. Wang, Z. S., and Chen, J. D. Z. (2001): 'Blind separation of slow waves and spikes from gastrointestinal myo-electrical recordings', IEEE Trans. Inform. Technol. Biomed., 5, pp. 133-137
41. Widrow, B., Glover, J. R., Mccool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Dong, E., and Goodlin, R. C. (1975): 'Adaptive noise canceling: principles and applications', Proc. IEEE, 63, pp. 1692-1716
42. Zeidler, J. R. (1990): 'Performance analysis of lms adaptive prediction filters', Proc. IEEE, 78, pp. 1781-1806