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

Authors

Fatma El-Zahraa Abou-Chadi, Department of Communications, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
F. Ezzat, Department of Gastroentrology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
N. Gad-Elhak, Department of Gastroentrology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
A. Sif El-Din, Department of Communications, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
M. Ismail, Research Centre of the Atomic Energy Authority, Cairo, Egypt.

Corresponding Author

Abou-Chadi, Fatma El-Zahraa

Subject Area

Electronics and Communication Engineering

Article Type

Original Study

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.

Recommended Citation

Abou-Chadi, Fatma El-Zahraa; Ezzat, F.; Gad-Elhak, N.; Sif El-Din, A.; and Ismail, M. (2021) "A Tauberian-Prony Feature Extraction Technique for Esophageal Motility Patterns.," Mansoura Engineering Journal: Vol. 16 : Iss. 1 , Article 1.
Available at: https://doi.org/10.21608/bfemu.2021.169207