Conference Proceedings

Identifying Fetal Heart Anomalies using Fetal ECG and Doppler Cardiogram Signals

Ahsan H Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Slaven Marusic, A Murray (ed.)

COMPUTING IN CARDIOLOGY 2010, VOL 37 | IEEE | Published : 2010

Abstract

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, f..

View full abstract

Grants

Funding Acknowledgements

This study was supported by an Australian Research Council (ARC) research network on Intelligent sensing, sensor networks and information processing (ISSNIP) at the University of Melbourne