TY - GEN
T1 - A Recurrence Plot Based Method for the Detection of End of T-Wave in Abnormal Non-Invasive Fetal Electrocardiogram Signals
AU - Widatalla, Namareq
AU - Khandoker, Ahsan
AU - Kasahara, Yoshiyuki
AU - Kimura, Yoshitaka
N1 - Funding Information:
The work in this paper has been supported by RIKEN Health-care and Medical Data Platform Project.
Publisher Copyright:
© 2019 Creative Commons.
PY - 2019/9
Y1 - 2019/9
N2 - 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).
AB - 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).
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U2 - 10.23919/CinC49843.2019.9005572
DO - 10.23919/CinC49843.2019.9005572
M3 - Conference contribution
AN - SCOPUS:85081136522
T3 - Computing in Cardiology
BT - 2019 Computing in Cardiology, CinC 2019
PB - IEEE Computer Society
T2 - 2019 Computing in Cardiology, CinC 2019
Y2 - 8 September 2019 through 11 September 2019
ER -
