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Title: Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals
Authors: Єрохін, А. Л.
Нечипоренко, А. С.
Турута, О. П.
Бабій, А. С.
Магдаліна, І. В.
Keywords: Biomedical signals
Feature extraction
Hurst parameter
Issue Date: 2016
Publisher: Lviv, Ukraine
Citation: Computer Science & Information Technologies (CSIT’2016), 14-17 September 2016, Lviv, Ukraine. – P.
Abstract: Active anterior rhinomanometry is important method for diagnosis of rhinological disorders. This paper presents the new approach for feature extraction based on chaos theory for tasks of rhinology. It has been demonstrated that rhinomanometric signals have a fractal properties. The usage of phase space diagram for feature extraction for rhinomanometric data was proposed
Appears in Collections:Кафедра програмної інженерії (ПІ)

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