Supporting gastroesophageal reflux disease diagnostics by using wavelet analysis in esophageal pH-metry.

Federated Conference on Computer Science and Information Systems(2018)

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摘要
This paper presents a new approach to computer supported esophageal pH-metry measurement analysis performed in order to diagnose gastroesophageal reflux disease. In this approach wavelet analysis was used to analyse the esophageal pH-metry course. The research was performed on three groups of pH-metry courses: whole 24-hour pH-metry course, sleep only pH-metry course and 20 minutes after the end of a meal pH-metry course. After performing a 128 level decomposition of the pH-metry course, the W-x was definer] as a parameter of extreme differential. This parameter was used to distinguish patients esophageal pH-metry results and on that basis classify patients as healthy or sick. Using this method the sensitivity of 77% was achieved.
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关键词
patient classification,meal pH-metry course,esophageal pH-metry course,esophageal pH-metry measurement analysis,wavelet analysis,gastroesophageal reflux disease diagnostics,time 20.0 min
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