A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals

Namareq Widatalla; Ahsan Khandoker; Yoshiyuki Kasahara; Yoshitaka Kimura

doi:10.23919/CinC49843.2019.9005572

A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals

Namareq Widatalla
, Ahsan Khandoker
, Yoshiyuki Kasahara
, Yoshitaka Kimura

Biomedical Engineering & Biotechnology

Tohoku University School of Medicine

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

Abstract

Features of fetal electrocardiogram (fECG) can convey a lot of information about the function of the heart of the fetus. Up until now, there is little to no research that ad-dresses automatic detection techniques for non-invasive fECG (nfECG). This study discusses a detection technique based on recurrence plots to locate end of T-waves. Identification of the ending timings of T-waves is important to estimate ST and QT intervals. ST and QT intervals are good biomarkers for several cardiovascular diseases that include hypoxia and ischemia. The proposed technique was applied on nfECG records that included normal and abnormal cases. The proposed method could detect end of T-waves in most of the analyzed beats. Bland Altman plots of QT and QTc intervals show that at least 95% of the analyzed beats fall within the limits of agreement (LoA).

Original language	British English
Title of host publication	2019 Computing in Cardiology, CinC 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728169361
DOIs	https://doi.org/10.23919/CinC49843.2019.9005572
State	Published - Sep 2019
Event	2019 Computing in Cardiology, CinC 2019 - Singapore, Singapore Duration: 8 Sep 2019 → 11 Sep 2019

Publication series

Name	Computing in Cardiology
Volume	2019-September
ISSN (Print)	2325-8861
ISSN (Electronic)	2325-887X

Conference

Conference	2019 Computing in Cardiology, CinC 2019
Country/Territory	Singapore
City	Singapore
Period	8/09/19 → 11/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.23919/CinC49843.2019.9005572

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title = "A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals",

abstract = "Features of fetal electrocardiogram (fECG) can convey a lot of information about the function of the heart of the fetus. Up until now, there is little to no research that ad-dresses automatic detection techniques for non-invasive fECG (nfECG). This study discusses a detection technique based on recurrence plots to locate end of T-waves. Identification of the ending timings of T-waves is important to estimate ST and QT intervals. ST and QT intervals are good biomarkers for several cardiovascular diseases that include hypoxia and ischemia. The proposed technique was applied on nfECG records that included normal and abnormal cases. The proposed method could detect end of T-waves in most of the analyzed beats. Bland Altman plots of QT and QTc intervals show that at least 95\% of the analyzed beats fall within the limits of agreement (LoA).",

author = "Namareq Widatalla and Ahsan Khandoker and Yoshiyuki Kasahara and Yoshitaka Kimura",

note = "Funding Information: The work in this paper has been supported by RIKEN Health-care and Medical Data Platform Project. Publisher Copyright: {\textcopyright} 2019 Creative Commons.; 2019 Computing in Cardiology, CinC 2019 ; Conference date: 08-09-2019 Through 11-09-2019",

year = "2019",

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Widatalla, N, Khandoker, A, Kasahara, Y & Kimura, Y 2019, A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals. in 2019 Computing in Cardiology, CinC 2019., 9005572, Computing in Cardiology, vol. 2019-September, IEEE Computer Society, 2019 Computing in Cardiology, CinC 2019, Singapore, Singapore, 8/09/19. https://doi.org/10.23919/CinC49843.2019.9005572

A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals. / Widatalla, Namareq; Khandoker, Ahsan; Kasahara, Yoshiyuki et al.
2019 Computing in Cardiology, CinC 2019. IEEE Computer Society, 2019. 9005572 (Computing in Cardiology; Vol. 2019-September).

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

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A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals

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