Abstract
During multiple fetus pregnancy, degree of risk for distinguishing the information of mother and fetus health condition is high. A proper distinguishable ECG of each fetus and mother gives information about the health conditions of individuals. In case of multiple fetal conditions, the heartbeat of the fetuses will be almost at the same rate. This algorithm has been aimed to separate mECG and the fECGs of the individual fetus. First, the signal for different medical conditions like Fibrillation, Apnea, Ventricular Ectopy, Singleton and Normal has been considered. The synthetic abdECG signal for the above mentioned cases has been formulated by preprocessing and considered as the input signal. R-Peak of mECG in the abdECG signal has been located using First Order Gaussian Differentiator and Zero Crossing Detector. QRS complex has been considered around the identified R-Peak of abdECG. Identified QRS has been removed from the abdECG signal to obtain fECG with residual noise.
The QRS complexes of fECG are detected the same way as mECG QRS were detected, and is represented as binary signals. The separation of the fetal ECG is done based on the individual presence of the fetus in the signals using Inter-beat averaging and Inter-beat standard deviation of the binary signal. The algorithm has been tested for above mentioned cardiac conditions during prenatal. The algorithm has been able to achieve 99% accuracy for particular cardiac condition with overall system accuracy of 80.4%. The standard cardiac signals of different cases have been sourced from Physionet database to construct the abdECG.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ruben Martin-Clemente, Jose Luis camargo-Olivares, Susana HornilloMellado, Mar Elena, Isabel Roman,”Fast Technique for Non-Invasive Fetal ECG Extraction”, IEEE Transaction paper on Biomedical Engineering, Vol.No.58, pp227-230, July 2010.
A.Fanelli, M.G.Signorini, T.Heldt, “Extraction of fetal heart rate from maternal surface ECG with provision for multiple pregnancies”, IEEE Conference on Engineering in Medicine and Biology, pp-6165-6168,August 2012.
A. Fanelli, M.G. Signorini, M.Ferrario, P. Perego, L. Piccini, G. Andreoni, G. Magenes, “Telefetalcare: a first prototype of a wearable fetal electrocardiograph”, EMBC 2011, pp. 6899 - 6902, 2011.
P. Kathirvel, M.SabarimalaiManikandan, S. R. M Prassana, K.P Soman, “An Efficient R-peak Detection Based on New Nonlinear Transformation and First-Order Gaussian Differentiator”, Cardiovascular Engineering and Technology, Vol. 2, no. 4, pp. 408–425, December 2011.
S. Comani, D. Mantini, G. Alleva, E. Gabriele, M. Liberati and G.L.Romani, “Simultaneous monitoring of separate fetal magnetocardiographic signals in twin pregnancy”, Physiological Measurement, Vol. 26, pp. 193-201, 2006.
M. Sridhar-Keralapura, M. Pourfathi and B. Sirkeci-Mergen, “Independent Component Analysis With Data-centric Contrast Functions For Separating Maternal And Twin Fetal ECG”, Proceedings of the World Congress on Engineering and Computer Science 2010, pp. 0958-0966, 2010
M. A. Hasan et aI., “Detection and Processing Techniques of fECG Signal for Fetal Monitoring”, Biological Procedures Online, vol. 11, no. 1, pp. 263-295, 2009.
American Congress of Obstetricians and Gynecologists. Practice, Bulletin, “Intrapartum fetal heart rate monitoring: Nomenclature, interpretation, and general management principles”, Tech. Rep. 109, 192 - 202, 2009.
R. Sameni and GD. Clifford, “A review of Fetal ECG Signal Processing: Issues and Promising Directions”, The Open Pacing, Electrophysiology & Therapy Journal, vol. 3, pp. 4-20, 2010.
S. M. M. Martens, C. Rabotti, M. Mischi and R. J. Sluijter, “A robust fetal ECG detection method for abdominal recordings”, Physiological Measurements, vol. 28, pp. 373-388, 2007.
C. Peters, R. Vullings, J. Bergmans, G. Oei, P. Wijn, “Heart Rate Detection in Low Amplitude Non-Invasive Fetal ECG Recordings”,EMBS 2006, pp. 60926094, 2006.
V. Zarzoso, A. K. Nandi, E. Bacharakis, “Maternal and foetal ECG separation using blind source separation methods.” IMA J Math ApplMedBiol vol. 14, pp. 207–225, 1997.
Available online at :http://www.physionet.org
Ridhu H Nair, RolantGini J, and K I Ramachandran, “A Simplified Approach to Identify the Fetal ECG from abdECG and to Measure the fHR”, IFMBE proceedings, Vol.52, July 2015, pp 23-26.
Reza Sameni et al., ‘Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis’, IEEE transactions on biomedical engineering, vol. 55, no. 8, 2008.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
J., R.G., K.I., R., U.K., C. (2017). Approach To Extract Twin fECG For Different Cardiac Conditions During Prenatal. In: Goh, J., Lim, C., Leo, H. (eds) The 16th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-10-4220-1_20
Download citation
DOI: https://doi.org/10.1007/978-981-10-4220-1_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4219-5
Online ISBN: 978-981-10-4220-1
eBook Packages: EngineeringEngineering (R0)