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Supporting Gastroesophageal Reflux Disease Diagnostics by Using Wavelet Analysis in Esophageal pH-Metry
Abstract
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 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 sensitivity of 77 % was achieved.
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Authors (3)
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Maria Janiak dr
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/2018F36
- License
- Copyright (2018 IEEE)
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
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Annals of Computer Science and Information Systems
no. 15,
pages 287 - 294,
ISSN: 2300-5963 - Title of issue:
- 2018 Federated Conference on Computer Science and Information Systems (FedCSIS) strony 287 - 294
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Tojza P., Redlarski G., Janiak M..: Supporting Gastroesophageal Reflux Disease Diagnostics by Using Wavelet Analysis in Esophageal pH-Metry, W: 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), 2018, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/2018f36
- Verified by:
- Gdańsk University of Technology
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