Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction

Jane Lyle; Peter Harcourt Charlton; Esther Bonet-Luz; Gary Chaffey; Mark Ian Christie; Manasi Nandi; Philip Aston

doi:10.22489/CinC.2017.091-096

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction

Jane Lyle
, Peter Harcourt Charlton
, Esther Bonet-Luz
, Gary Chaffey
, Mark Ian Christie
, Manasi Nandi
, Philip Aston

University of Surrey

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

19 Citations (Scopus)

277 Downloads (Pure)

Abstract

Attractor reconstruction analysis has previously been
applied to analyse arterial blood pressure and photoplethysmogram
signals. This study extends this novel technique
to ECG signals. We show that the method gives high
accuracy in identifying gender from ECG signals, performing
significantly better than the same classification by
interval measures.

Original language	English
Title of host publication	2017 Computing in Cardiology Conference (CinC)
DOIs	https://doi.org/10.22489/CinC.2017.091-096
Publication status	Published - 2018

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10.22489/CinC.2017.091-096

Beyond HRV - Analysis of ECG Signals using Attractor ReconstructionFinal published version, 196 KB

http://ehealth.kcl.ac.uk/cardiomorph/downloads/2017-10/papers/AR-analysis-of-ECG-signals.pdf

19 Citations
1 Conference paper

Measurement of cardiovascular state using attractor reconstruction analysis
Charlton, P., Camporota, L., Smith, J., Nandi, M., Christie, M. I., Aston, P. & Beale, R., 2015, Signal Processing Conference (EUSIPCO), 2015 Proceedings of the 23rd European. IEEE, 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Cite this

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title = "Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction",

abstract = "Attractor reconstruction analysis has previously been applied to analyse arterial blood pressure and photoplethysmogram signals. This study extends this novel technique to ECG signals. We show that the method gives high accuracy in identifying gender from ECG signals, performing significantly better than the same classification by interval measures.",

author = "Jane Lyle and Charlton, \{Peter Harcourt\} and Esther Bonet-Luz and Gary Chaffey and Christie, \{Mark Ian\} and Manasi Nandi and Philip Aston",

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AU - Lyle, Jane

AU - Charlton, Peter Harcourt

AU - Bonet-Luz, Esther

AU - Chaffey, Gary

AU - Christie, Mark Ian

AU - Nandi, Manasi

AU - Aston, Philip

PY - 2018

Y1 - 2018

N2 - Attractor reconstruction analysis has previously been applied to analyse arterial blood pressure and photoplethysmogram signals. This study extends this novel technique to ECG signals. We show that the method gives high accuracy in identifying gender from ECG signals, performing significantly better than the same classification by interval measures.

AB - Attractor reconstruction analysis has previously been applied to analyse arterial blood pressure and photoplethysmogram signals. This study extends this novel technique to ECG signals. We show that the method gives high accuracy in identifying gender from ECG signals, performing significantly better than the same classification by interval measures.

U2 - 10.22489/CinC.2017.091-096

DO - 10.22489/CinC.2017.091-096

M3 - Conference paper

BT - 2017 Computing in Cardiology Conference (CinC)

ER -

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction

Abstract

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Research output

Measurement of cardiovascular state using attractor reconstruction analysis

Cite this