Measurement of cardiovascular state using attractor reconstruction analysis

Peter Charlton; Luigi Camporota; John Smith; Manasi Nandi; Mark Ian Christie; Philip Aston; Richard Beale

Measurement of cardiovascular state using attractor reconstruction analysis

Peter Charlton, Luigi Camporota, John Smith, Manasi Nandi, Mark Ian Christie, Philip Aston, Richard Beale

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

16 Citations (Scopus)

274 Downloads (Pure)

Abstract

Attractor reconstruction (AR) analysis has been used previously
to quantify the variability in arterial blood pressure
(ABP) signals. Since ABP signals are only available in a minority
of clinical scenarios, we sought to determine whether
AR could also be performed on more widely available photoplethysmogram
(PPG) signals. AR analysis was performed
on simultaneous ABP and PPG signals before, during and after a change in cardiovascular state. A novel quality metric was used to eliminate windows of low quality AR. A high level of agreement was found between the detected periodicity of each signal. The remaining cardiovascular parameters derived using AR analysis exhibited similar trends between the two signals in response to the change in state, although there was poor agreement between their absolute values. This demonstrates the feasibility of applying AR to the PPG signal, increasing the range of patients in whom cardiovascular state can be measured using AR analysis.

Original language	English
Title of host publication	Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European
Publisher	IEEE
Number of pages	5
Publication status	Published - 2015

Keywords

attractor reconstruction
arterial blood pressure
photoplethysmogram
eHealth

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ArticleAccepted author manuscript, 503 KBLicence: Unspecified

http://www.eurasip.org/Proceedings/Eusipco/Eusipco2015/papers/1570103815.pdfLicence: Unspecified

16 Citations
1 Conference paper

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction
Lyle, J., Charlton, P. H., Bonet-Luz, E., Chaffey, G., Christie, M. I., Nandi, M. & Aston, P., 2018, 2017 Computing in Cardiology Conference (CinC).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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15 Citations (Scopus)

280 Downloads (Pure)

Cite this

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title = "Measurement of cardiovascular state using attractor reconstruction analysis",

abstract = "Attractor reconstruction (AR) analysis has been used previouslyto quantify the variability in arterial blood pressure(ABP) signals. Since ABP signals are only available in a minorityof clinical scenarios, we sought to determine whetherAR could also be performed on more widely available photoplethysmogram(PPG) signals. AR analysis was performedon simultaneous ABP and PPG signals before, during and after a change in cardiovascular state. A novel quality metric was used to eliminate windows of low quality AR. A high level of agreement was found between the detected periodicity of each signal. The remaining cardiovascular parameters derived using AR analysis exhibited similar trends between the two signals in response to the change in state, although there was poor agreement between their absolute values. This demonstrates the feasibility of applying AR to the PPG signal, increasing the range of patients in whom cardiovascular state can be measured using AR analysis.",

keywords = "attractor reconstruction, arterial blood pressure, photoplethysmogram, eHealth",

author = "Peter Charlton and Luigi Camporota and John Smith and Manasi Nandi and Christie, {Mark Ian} and Philip Aston and Richard Beale",

year = "2015",

language = "English",

booktitle = "Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European",

publisher = "IEEE",

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TY - CHAP

T1 - Measurement of cardiovascular state using attractor reconstruction analysis

AU - Charlton, Peter

AU - Camporota, Luigi

AU - Smith, John

AU - Nandi, Manasi

AU - Christie, Mark Ian

AU - Aston, Philip

AU - Beale, Richard

PY - 2015

Y1 - 2015

N2 - Attractor reconstruction (AR) analysis has been used previouslyto quantify the variability in arterial blood pressure(ABP) signals. Since ABP signals are only available in a minorityof clinical scenarios, we sought to determine whetherAR could also be performed on more widely available photoplethysmogram(PPG) signals. AR analysis was performedon simultaneous ABP and PPG signals before, during and after a change in cardiovascular state. A novel quality metric was used to eliminate windows of low quality AR. A high level of agreement was found between the detected periodicity of each signal. The remaining cardiovascular parameters derived using AR analysis exhibited similar trends between the two signals in response to the change in state, although there was poor agreement between their absolute values. This demonstrates the feasibility of applying AR to the PPG signal, increasing the range of patients in whom cardiovascular state can be measured using AR analysis.

AB - Attractor reconstruction (AR) analysis has been used previouslyto quantify the variability in arterial blood pressure(ABP) signals. Since ABP signals are only available in a minorityof clinical scenarios, we sought to determine whetherAR could also be performed on more widely available photoplethysmogram(PPG) signals. AR analysis was performedon simultaneous ABP and PPG signals before, during and after a change in cardiovascular state. A novel quality metric was used to eliminate windows of low quality AR. A high level of agreement was found between the detected periodicity of each signal. The remaining cardiovascular parameters derived using AR analysis exhibited similar trends between the two signals in response to the change in state, although there was poor agreement between their absolute values. This demonstrates the feasibility of applying AR to the PPG signal, increasing the range of patients in whom cardiovascular state can be measured using AR analysis.

KW - attractor reconstruction

KW - arterial blood pressure

KW - photoplethysmogram

KW - eHealth

M3 - Conference paper

BT - Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European

PB - IEEE

ER -

Measurement of cardiovascular state using attractor reconstruction analysis

Abstract

Keywords

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Research output

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction

Cite this