Literature DB >> 8484560

Tauberian-prony feature extraction technique for esophageal motility patterns.

F E Abou-Chadi1, F A Ezzat, N Gad-Elhak, A A Sif el-Din.   

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.

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Year:  1993        PMID: 8484560     DOI: 10.1007/bf02367607

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

1.  Temporal feature extraction and clustering analysis of electromyographic linear envelopes in gait studies.

Authors:  J J Chen; R Shiavi
Journal:  IEEE Trans Biomed Eng       Date:  1990-03       Impact factor: 4.538

2.  Waveform feature extraction based on tauberian approximation.

Authors:  R J De Figueiredo; C L Hu
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1982-02       Impact factor: 6.226

3.  Development of a three-channel, 24-h ambulatory esophageal pressure monitor.

Authors:  C J Pfister; M A Harrison; J W Hamilton; W J Tompkins; J G Webster
Journal:  IEEE Trans Biomed Eng       Date:  1989-04       Impact factor: 4.538

4.  The Prony spectral line estimation (PSLE) method for the analysis of vascular oscillations.

Authors:  J U Meyer; P M Burkhard; T W Secomb; M Intaglietta
Journal:  IEEE Trans Biomed Eng       Date:  1989-09       Impact factor: 4.538

5.  Computer-aided oesophageal manometry: prospects and problems.

Authors:  H Feussner; C T Bombeck; N Hampl; H F Weiser
Journal:  J Biomed Eng       Date:  1987-07

6.  Automated extraction of activity features in linear envelopes of locomotor electromyographic patterns.

Authors:  R Shiavi; J Bourne; A Holland
Journal:  IEEE Trans Biomed Eng       Date:  1986-06       Impact factor: 4.538

  6 in total
  1 in total

1.  A fuzzy pattern recognition method to classify esophageal motility records.

Authors:  F E Abou-Chadi; F A Ezzat; A A Sif el-Din
Journal:  Ann Biomed Eng       Date:  1994 Jan-Feb       Impact factor: 3.934

  1 in total

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