Robust algorithm for the Augmentation Index estimation of the CAP using low order derivatives

Autor:	Andrei Krivoshei, Paul Annus, Mart Min, Jurgen Lamp
Jazyk:	angličtina
Předmět:	Robustness (computer science) Continuous monitoring Waveform Legendre polynomials Algorithm Mathematics
Zdroj:	2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA) MeMeA
DOI:	10.1109/memea.2014.6860072
Popis:	The paper presents a novel algorithm for the central Augmentation Index (AI) estimation and it is robust and suitable for long-term monitoring. To increase the robustness of the proposed method, only first and second order derivatives of the Central Aortic Pressure (CAP) pulse are used. Low-order Legendre polynomials approximation was applied for some intervals of the CAP waveform to find locations of special points on the CAP curve, which are participate in the AI evaluation. Continuous monitoring plots of the AI after administrating a tablet of 0.5 mg sublingual nitroglycerin are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9eca0d5f23fa8acb7b217737027cc56 Zobrazit plný text záznamu