University of Oulu

Blood pressure estimation using pulse transit time models

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Author: Zienkiewicz, Aleksandra1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Computer Science and Engineering, Computer Science
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/URN:NBN:fi:oulu-201712063289
Language: English
Published: Oulu : A. Zienkiewicz, 2017
Publish Date: 2017-12-11
Physical Description: 41 p.
Thesis type: Master's thesis
Tutor: Seppänen, Tapio
Reviewer: Seppänen, Tapio
Myllylä, Teemu
Description:

Abstract

Blood pressure (BP) is an important indicator of human health. Common methods for measuring BP continuously are either invasive, intermittent or they require using a cumbersome cuff. Pulse Transmit Time (PTT) -based measurement can be an alternative for such methods, as it ensures continue and non-invasive monitoring. However, since the method is indirect, it requires careful modelling of PTT-BP relation. In this thesis, three approaches of BP estimation from PTT are tested: linear regression, nonlinear Moens and Korteweg model and nonlinear model developed by Gesche. In the experiments, cardiovascular pulses for PTT were sensed using two fiber optics based accelerometers developed at the University of Oulu.

To evaluate feasibility of presented models, the results were compared with reference BP values, measured using methods accepted for the commercial use. There were two groups of data. One was compared with BP measured using invasive catheter. Second group was compared with BP measured using volume clamp method. Obtained results suggest, that the presented calculation methods in present state still require further development in order to provide accurate BP values, however, they can be potentially used for observation of BP changes.

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Copyright information: © Aleksandra Zienkiewicz, 2017. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.