A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.
Abou-Chadi, F., Ezzat, F., Gad-Elhak, N., Sif El-Din, A., Ismail, M. (2021). A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.. EKB Journal Management System, 16(1), 1-12. doi: 10.21608/bfemu.2021.169207
Fatma El-Zahraa Abou-Chadi; F. Ezzat; N. Gad-Elhak; A. A. Sif El-Din; M. S. Ismail. "A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.". EKB Journal Management System, 16, 1, 2021, 1-12. doi: 10.21608/bfemu.2021.169207
Abou-Chadi, F., Ezzat, F., Gad-Elhak, N., Sif El-Din, A., Ismail, M. (2021). 'A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.', EKB Journal Management System, 16(1), pp. 1-12. doi: 10.21608/bfemu.2021.169207
Abou-Chadi, F., Ezzat, F., Gad-Elhak, N., Sif El-Din, A., Ismail, M. A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.. EKB Journal Management System, 2021; 16(1): 1-12. doi: 10.21608/bfemu.2021.169207

A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.

MEJ- Mansoura Engineering Journal
Article 1, Volume 16, Issue 1, May 1991, Page 1-12  XML PDF (105.27 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2021.169207
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Authors
Fatma El-Zahraa Abou-Chadi* 1; F. Ezzat2; N. Gad-Elhak2; A. A. Sif El-Din1; M. S. Ismail3
1Department of Communications, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
2Department of Gastroentrology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
3Research Centre of the Atomic Energy Authority, Cairo, Egypt.
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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