Literature DB >> 17281607

Improved method for fetal heart rate monitoring.

Mihaela Ungureanu1, Johannes W Bergmans, Massimo Mischi, S Guid Oei, Rodica Strungaru.   

Abstract

The fetal ECG can be detected in the recorded abdominal signals. A new procedure to compute the fetal heart rate (FHR) is proposed. The abdominal signal is first preprocessed in order to remove the baseline and the uterine contractions. Then the ECG of the mother (MECG) is removed using coherent averaging and optimizing the averaged MECG template. The channels containing the clearest fetal ECG signal (FECG) are identified by the autocorrelation function. The FECG is enhanced by the cross correlation between the two channels that show the strongest FECG. This enhancement is possible since the residual noise in the abdominal signal after removal of baseline, uterine contractions and maternal ECG is not correlated among the channels. The fetal R-Peaks are then detected and the FHR is computed. The obtained FHR is further corrected, using the information about the MECG and about the FECG.

Entities:  

Year:  2005        PMID: 17281607     DOI: 10.1109/IEMBS.2005.1615837

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A study of a fetal heart rate calculation system based on R-R interval.

Authors:  Yisong Zhang; Song Zhang; Lin Yang; Yimin Yang; Xuwen Li; Dongmei Hao; Mingzhou Xu; Jing Shao
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

2.  A non-invasive multimodal foetal ECG-Doppler dataset for antenatal cardiology research.

Authors:  Eleonora Sulas; Monica Urru; Roberto Tumbarello; Luigi Raffo; Reza Sameni; Danilo Pani
Journal:  Sci Data       Date:  2021-01-26       Impact factor: 6.444

3.  Detection and Processing Techniques of FECG Signal for Fetal Monitoring.

Authors:  M A Hasan; M B I Reaz; M I Ibrahimy; M S Hussain; J Uddin
Journal:  Biol Proced Online       Date:  2009-03-27       Impact factor: 3.244

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.