Supporting Gastroesophageal Reflux Disease Diagnostics by Using Wavelet Analysis in Esophageal pH-Metry - Publikacja - MOST Wiedzy

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Supporting Gastroesophageal Reflux Disease Diagnostics by Using Wavelet Analysis in Esophageal pH-Metry

Abstrakt

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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Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Opublikowano w:
Annals of Computer Science and Information Systems nr 15, strony 287 - 294,
ISSN: 2300-5963
Tytuł wydania:
2018 Federated Conference on Computer Science and Information Systems (FedCSIS) strony 287 - 294
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
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:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.15439/2018f36
Weryfikacja:
Politechnika Gdańska

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