Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals

Публікація:
Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals

dc.contributor.author	Єрохін, А. Л.
dc.contributor.author	Нечипоренко, А. С.
dc.contributor.author	Турута, О. П.
dc.contributor.author	Бабій, А. С.
dc.contributor.author	Магдаліна, І. В.
dc.date.accessioned	2017-12-13T08:54:16Z
dc.date.available	2017-12-13T08:54:16Z
dc.date.issued	2016
dc.description.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	uk_UA
dc.identifier.citation	Computer Science & Information Technologies (CSIT’2016), 14-17 September 2016, Lviv, Ukraine. – P.
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4143
dc.publisher	Lviv, Ukraine	uk_UA
dc.subject	Biomedical signals	uk_UA
dc.subject	Rhinomanometry	uk_UA
dc.subject	Feature extraction	uk_UA
dc.subject	Hurst parameter	uk_UA
dc.subject	Classification	uk_UA
dc.title	Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication