Публікація: Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals
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Дата
2016
Назва журналу
ISSN журналу
Назва тома
Видавництво
Lviv, Ukraine
Анотація
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
Опис
Ключові слова
Biomedical signals, Rhinomanometry, Feature extraction, Hurst parameter, Classification
Бібліографічний опис
Computer Science & Information Technologies (CSIT’2016), 14-17 September 2016, Lviv, Ukraine. – P.