Identifying fetal heart anomalies using fetal ECG and Doppler cardiogram signals

Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Slaven Marusic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


This study presents an automated and non-invasive technology using an integrated fetal transabdominal electrocardiogram system and Doppler cardiogram (DCG) to identify fetal heart anomalies. Multire solution wavelet analysis and Jensen-Shannon divergence (JSD) methods were used to identify the frequency contents of the Doppler signals to be linked to the opening and closing of the heart's valves (Aortic and mitral). For the normal fetuses, PEP (Pre-ejection period), VET (Ventricular ejection time), ICT(Isovolumic contraction time) and IVRT (Isovolumic relaxation time) were found to be 75.0±11.9 (msec), 153.2±18.9 (msec), 50.0±15.9 (msec) and 69.6±9.7 (msec) respectively. On the other hand, for fetuses with heart anomalies, these timing intervals were found to be 89.0±10.3 (msec), 168.6±25.0 (msec), 52.2±17.2 (msec) and 51.6±13.7 (msec) respectively. PEP, VET and IVRT values are significantly (p<0.01) different between the two groups.

Original languageEnglish
Title of host publicationComputing in Cardiology 2010, CinC 2010
Number of pages4
Publication statusPublished - 2010 Dec 1
EventComputing in Cardiology 2010, CinC 2010 - Belfast, United Kingdom
Duration: 2010 Sep 262010 Sep 29

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


OtherComputing in Cardiology 2010, CinC 2010
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine


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