Skip to main content
Log in

Tauberian-Prony feature extraction technique for esophageal motility patterns

  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

For the esophageal contractile activity recorded during swallowing, a feature extraction scheme has been developed. It recognizes the time, duration, and amplitudes of local peaks for each peristaltic wave. The method is based on the Tauberian approximation for modeling waveforms as a sum of identically shaped pulses with different time delays and amplitudes. Initial conditions on the pulse properties are set and an optimal solution is sought. The method is completely automated and can be utilized for characterization and classification purposes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Castell, J.A.; Castell, D.O. Computer analysis of esophageal manometric recordings. Automedica 7:215–220; 1987.

    Google Scholar 

  2. Chen, J-J.J.; Shiavi, R. Temporal feature extraction and clustering analysis of electromyographic linear envelopes in gait studies. IEEE Trans. Biomed. Eng. BME-37:295–302; 1990.

    CAS  Google Scholar 

  3. Defigueiredo, R.; Hu, C. Waveform feature extraction based on Tauberian approximation. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4:105–116; 1982.

    Google Scholar 

  4. Feussner, H.; Bombeck, C.T.; Hampl, N.; Weiser, H.F. Computer-aided oesophageal manometry: Prospects and problems. J. Biomed. Eng. 9:257–260; 1987.

    CAS  PubMed  Google Scholar 

  5. Hilderbrand, F.B. Introduction to numerical analysis. New York; McGraw-Hill; 1956.

    Google Scholar 

  6. Horowitz, L.L. The effects of spline interpolation on power spectral density. IEEE Trans. Acoust., speech, signal processing. ASSP-22:22–27; 1974.

    Google Scholar 

  7. Meyer, J.U.; Bukhard, P.M.; Secomb, T.W.; Intaglietta, M. The Prony spectral line estimation (PSLE) method for the analysis of vascular oscillations. IEEE Trans. Biomed. Eng. BME-36:968–970; 1989.

    CAS  Google Scholar 

  8. Pfister, C.J.; Harrison, M.A.; Hamilton, J.W.; Tompkins, W.J.; Webster, J.G. Development of a three-channel, 24-h ambulatory esophageal pressure monitor. IEEE Trans. Biomed. Eng. BME-36:487–489; 1989.

    CAS  Google Scholar 

  9. Shiavi, R.; Chen, J-J.J. Automated extraction of activity features in linear envelopes of locomotor electromyographic patterns. IEEE Trans. Biomed. Eng. BME-33:594–600; 1986.

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abou-Chadi, F.E.Z., Ezzat, F.A., Gad-Elhak, N. et al. Tauberian-Prony feature extraction technique for esophageal motility patterns. Ann Biomed Eng 21, 117–124 (1993). https://doi.org/10.1007/BF02367607

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02367607

Keywords

Navigation