A fuzzy pattern recognition method to classify esophageal motility records.
Analysis and classification of esophageal motility records were investigated using signal processing and fuzzy-set pattern recognition techniques. A set of parameters has been extracted from the raw records and has previously been used as characterizing features. Improvements to these procedures were obtained by extracting these features from processed data, and some additional parameters were developed. The new set of features was used in the design of a fuzzy classifier, and classification accuracy was estimated using the leave-one-out technique. To our knowledge, this is the first report of the application of automatic classification to esophageal motility records.
Abou-Chadi
F E
FE
Department of Electrical Communications, Faculty of Engineering, Mansoura University, Egypt.
Ezzat
F A
FA
Sif el-Din
A A
AA
D003625:Data Collection / Q000379:methods; D003627:Data Interpretation, Statistical; D015154:Esophageal Motility Disorders / Q000145:classification* / Q000175:diagnosis / Q000503:physiopathology*; D005069:Evaluation Studies as Topic; D017143:Fuzzy Logic; D006801:Humans; D008365:Manometry / Q000379:methods; D008499:Medical Records; D010528:Peristalsis; D011312:Pressure; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted