title: Tauberian-prony feature extraction technique for esophageal motility patterns.
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.
authors: Department of Communications, Faculty of Engineering, Mansoura University, Egypt.
authors: F E
authors: FE
authors: Abou-Chadi
authors: F A
authors: FA
authors: Ezzat
authors: N
authors: N
authors: Gad-Elhak
authors: A A
authors: AA
authors: Sif el-Din
mesh_terms: D000465:Algorithms; D003679:Deglutition / Q000502:physiology*; D004576:Electromyography; D004947:Esophagus / Q000502:physiology*; D006801:Humans; D008365:Manometry; D008954:Models, Biological; D008991:Monitoring, Physiologic; D009862:Online Systems; D010363:Pattern Recognition, Automated; D010528:Peristalsis / Q000502:physiology; D012016:Reference Values