+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Maternal and fetal heart rate extraction from abdominal recordings using multi-scale principal components analysis



Maternal and fetal heart rate extraction from abdominal recordings using multi-scale principal components analysis



Conference Proceedings 2007: 6508-6511



A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are detected, using multiscale principal components analysis (MSPCA) and the Smoothed Nonlinear Energy Operator (SNEO). Maternal fiducial points are used to eliminate the maternal QRS complexes from the abdominal ECG recordings. In the second stage, again MSPCA and SNEO are employed in order to detect the fetal heart beats that do not overlap with the maternal QRSs (eliminated from the first stage). The extraction of the fetal heart rate is accomplished in the last stage, using a histogram based technique in order to identify the positions of the fetal heart beats that overlap with the maternal QRSs. Real signals, recorded from different pregnant women and different weeks of gestation, are used for the evaluation of the proposed methodology and the obtained results indicate high performance (accuracy 95%).

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 054268865

Download citation: RISBibTeXText

PMID: 18003516

DOI: 10.1109/iembs.2007.4353850


Related references

Extracting fetal heart beats from maternal abdominal recordings: selection of the optimal principal components. Physiological Measurement 35(8): 1649-1664, 2014

Computer analysis of maternal-fetal heart rate recordings during labor in relation with maternal-fetal attachment and prediction of newborn acidemia. Journal of Maternal-Fetal and Neonatal Medicine 29(9): 1440-1444, 2016

Fetal heart rate detection in multivariate abdominal ECG recordings using non-linear analysis. Conference Proceedings 2008: 2141-2144, 2008

Fetal and maternal diurnal rhythms during the third trimester of normal pregnancy: Outcomes of computerized analysis of continuous twenty-four-hour fetal heart rate recordings. American Journal of Obstetrics and Gynecology 178(2): 247-254, 1998

Beat-to-beat heart rate detection in multi-lead abdominal fetal ECG recordings. Medical Engineering and Physics 34(3): 333-338, 2012

Detection of fetal heart rate through 3-D phase space analysis from multivariate abdominal recordings. IEEE Transactions on Bio-Medical Engineering 56(5): 1394-1406, 2009

Variability analysis of fetal heart rate signals as obtained from abdominal electrocardiographic recordings. Journal of Perinatal Medicine 14(6): 445-452, 1986

Computerised analysis of fetal heart rate recordings in maternal type I diabetes mellitus. Bjog 108(8): 853-857, 2001

Fetal ECG extraction from time-varying and low-rank noninvasive maternal abdominal recordings. Physiological Measurement 39(12): 125008, 2018

Fetal heart rate feature extraction from cardiotocographic recordings through autoregressive model's power spectral- and pole-based analysis. Conference Proceedings 2015: 5842-5845, 2015

A new method to derive fetal heart rate from maternal abdominal electrocardiogram: monitoring fetal heart rate during cesarean section. Plos one 10(2): E0117509, 2015

Power spectrum analysis of fetal heart rate variability using the abdominal maternal electrocardiogram. Journal of Biomedical Engineering 12(2): 161-164, 1990

A multi-step method with signal quality assessment and fine-tuning procedure to locate maternal and fetal QRS complexes from abdominal ECG recordings. Physiological Measurement 35(8): 1665-1683, 2014

Computerised intrapartum diagnosis of fetal hypoxia based on fetal heart rate monitoring and fetal pulse oximetry recordings utilising wavelet analysis and neural networks. Bjog 109(10): 1137-1142, 2002

Spectral analysis of antepartum fetal heart rate variability from fetal magnetocardiogram recordings. Early Human Development 35(1): 15-24, 1993