University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Extracting new information from old waveforms: Symmetric projection attractor reconstruction: Where maths meets medicine

Nandi, Manasi and Aston, Philip J. (2020) Extracting new information from old waveforms: Symmetric projection attractor reconstruction: Where maths meets medicine EXPERIMENTAL PHYSIOLOGY, 105 (9). pp. 1444-1451.

[img] Text
Quantifying complex behaviours within the cardiovascular system.docx - Accepted version Manuscript
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (828kB)

Abstract

Periodic physiological waveform data, such as blood pressure, pulse oximetry and ECG, are routinely sampled between 100 and 1000 Hz in preclinical research and in the clinical setting from a wide variety of implantable, bedside and wearable monitoring devices. Despite the under-lying numerical waveform data being captured at such high fidelity, conventional analysis tends to reside in reporting only averages of minimum, maximum, amplitude and rate, as single point averages. Although these averages are undoubtedly of value, simplification of the data in this way means that most of the available numerical data are discarded. In turn, this may lead to subtle physiological changes being missed when investigating the cardiovascular system over time. We have developed a mathematical method (symmetric projection attractor reconstruction) that uses all the numerical data, replotting and revisualizing them in a manner that allows unique quantification of multiple changes in waveform morphology and variability. We propose that the additional quantification of these features will allow the complex behaviour of the cardiovascular system to be mapped more sensitively in different physiological and pathophysiological settings.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
NameEmailORCID
Nandi, Manasi
Aston, Philip J.P.Aston@surrey.ac.uk
Date : 1 September 2020
Funders : Medical Research Council (MRC)
DOI : 10.1113/EP087873
Copyright Disclaimer : © 2020 The Authors. Experimental Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Uncontrolled Keywords : Sarterial pulse; Attractor reconstruction; Automated feature detection; Data sciences; Heart ratevariability; Waveform morphology; Waveform variability
Depositing User : Diane Maxfield
Date Deposited : 01 Oct 2020 11:59
Last Modified : 01 Oct 2020 11:59
URI: http://epubs.surrey.ac.uk/id/eprint/858607

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