Єрохін, А. Л.Нечипоренко, А. С.Турута, О. П.Бабій, А. С.Магдаліна, І. В.2017-12-132017-12-132016Computer Science & Information Technologies (CSIT’2016), 14-17 September 2016, Lviv, Ukraine. – P.http://openarchive.nure.ua/handle/document/4143Active 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 proposedBiomedical signalsRhinomanometryFeature extractionHurst parameterClassificationConference proceedings