University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Beyond HRV: attractor reconstruction using the entire cardiovascular waveform data for novel feature extraction

Aston, Philip, Christie, Mark I, Huang, Ying and Nandi, Manasi (2018) Beyond HRV: attractor reconstruction using the entire cardiovascular waveform data for novel feature extraction Physiological Measurement, 39 (2), 024001.

[img]
Preview
Text
Beyond HRV.pdf - Accepted version Manuscript
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

Advances in monitoring technology allow blood pressure waveforms to be collected at sampling frequencies of 250-1000Hz for long time periods. However, much of the raw data are under analysed. Heart rate variability (HRV) methods, in which beat-to-beat interval lengths are extracted and analysed, have been extensively studied, However, this approach discards the majority of the raw data. Objective: Our aim is to detect changes in the shape of the waveform in long streams of blood pressure data. Approach: Our approach involves extracting key features from large complex datasets by generating a reconstructed attractor in a three-dimensional phase space using delay coordinates from a window of the entire raw waveform data. The naturally occurring baseline variation is removed by projecting the attractor onto a plane from which new quantitative measures are obtained. The time window is moved through the data to give a collection of signals which relate to various aspects of the waveform shape. Main results: This approach enables visualisation and quantification of changes in the waveform shape and has been applied to blood pressure data collected from conscious unrestrained mice and to human blood pressure data. The interpretation of the attractor measures is aided by the analysis of simple artificial waveforms. Significance: We have developed and analysed a new method for analysing blood pressure data that uses all of the waveform data and hence can detect changes in the waveform shape that HRV methods cannot, which is confirmed with an example, and hence our method goes "beyond HRV".

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
NameEmailORCID
Aston, PhilipP.Aston@surrey.ac.uk
Christie, Mark I
Huang, Yingy.h.huang@surrey.ac.uk
Nandi, Manasi
Date : 1 March 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC), Biotechnology and Biological Sciences Research Council (BBSRC)
Identification Number : 10.1088/1361-6579/aaa93d
Copyright Disclaimer : © 2018 Institute of Physics and Engineering in Medicine. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Depositing User : Clive Harris
Date Deposited : 23 Jan 2018 14:01
Last Modified : 15 Mar 2018 14:34
URI: http://epubs.surrey.ac.uk/id/eprint/845670

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800