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Annals of Computer Science and Information Systems, Volume 15

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems

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

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DOI: http://dx.doi.org/10.15439/2018F36

Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 287–294 ()

Full text

Abstract. This paper presents a new approach to computer supported esophageal pH-metry measurement analysis per- formed 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 Wx was defined 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 a sensitivity of 77\% was achieved.

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