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A stochastic modelling framework for the reconstruction of cardiovascular signals

Martín-Martínez, Diego, Casaseca-de-la-Higuera, Pablo, Martín-Fernández, Marcos, Amira, Abbes, Luo, Chunbo, Grecos, Christos and Alberola-López, Carlos (2014) A stochastic modelling framework for the reconstruction of cardiovascular signals. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 676-679. ISBN 9781424479290

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This paper presents a common stochastic modelling framework for physiological signals which allows patient simulation following a synthesis-by-analysis approach. Within this framework, we propose a general model-based methodology able to reconstruct missing or artifacted signal intervals in cardiovascular monitoring applications. The proposed model consists of independent stages which provide high flexibility to incorporate signals of different nature in terms of shape, cross-correlation and variability. The reconstruction methodology is based on model sampling and selection based on a wide range of boundary conditions, which include prior information. Results on real data show how the proposed methodology fits the particular approaches presented so far for electrocardiogram (ECG) reconstruction and how a simple extension within the framework can significantly improve their performance.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
R Medicine > Healthcare Industry
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 05 Mar 2019 11:19
Last Modified: 05 Mar 2019 11:19

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