Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals
Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)
Переглянути архів ІнформаціяПоле | Співвідношення | |
Title |
Usage of Phase Space Diagram to Finding Significant Features of Rhinomanometric Signals
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Creator |
Єрохін, А. Л.
Нечипоренко, А. С. Турута, О. П. Бабій, А. С. Магдаліна, І. В. |
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Subject |
Biomedical signals
Rhinomanometry Feature extraction Hurst parameter Classification |
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Description |
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
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Date |
2017-12-13T08:54:16Z
2017-12-13T08:54:16Z 2016 |
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Type |
Conference proceedings
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Identifier |
Computer Science & Information Technologies (CSIT’2016), 14-17 September 2016, Lviv, Ukraine. – P.
http://openarchive.nure.ua/handle/document/4143 |
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Publisher |
Lviv, Ukraine
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