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Estimation of blood pressure parameters using ex-Gaussian model

Abstrakt

The paper presents an example of model-based estimation of blood pressure parameters (onset, systolic and diastolic pressure) from continuous measurements. First, the signal was low pass filtered and its quality was estimated. Good quality periods were divided into beats using an electrocardiogram. Next, the beginning of each beat of the blood pressure signal was approximated basing on the function created from the sum of two independent distributions: Gaussian and exponential. The nonlinear least square method was used to fit measurement data to the model. The initial conditions for the fitting procedure were selected for each beat on the basis of its parameters. Finally, the diastolic and systolic values of blood pressure and onset were determined.

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Informacje szczegółowe

Kategoria:
Inne
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems strony 1427 - 1430
ISSN:
2300-5963
Język:
angielski
Rok wydania:
2016
Opis bibliograficzny:
Poliński A., Kocejko T..: Estimation of blood pressure parameters using ex-Gaussian model, W: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016, ,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.15439/2016f525
Weryfikacja:
Politechnika Gdańska

wyświetlono 16 razy

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