A Mixed Approach for Fetal QRS Complex Detection

  • Lijuan Liao
  • Wei Zhong
  • Xuemei Guo
  • Guoli WangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)


Non-invasive fetal electrocardiogram (NI-FECG) plays an important role in detecting and diagnosing fetal diseases. Fetal electrocardiogram (FECG) is used to know the information of the fetal health. In this paper, we propose a mixed approach for extracting FECG from maternal abdominal ECG (AECG) recording. The proposed method is based on a combination of the wavelet transform and Support Vector Machines (SVM). As a first tier, the wavelet transform is used to detect maternal QRS complex from abdominal ECG recording. Then, a coherent averaging method was using to construct MECG and remove MECG from AECG recording. After removing MECG, SVM is used to locate fetal QRA complex from residual signal. The accuracy (84.53%) and Positive predictive value (PPV) (89.6%) in this study are much higher than other method.


NI-FECG Wavelet transform SVM Signal quality assessment PPV 



This work was supported by the National Natural Science Foundation of P. R. China under Grant No. 61375080, and the Key Program of Natural Science Foundation of Guangdong, China under Grant No. 2015A030311049. The Guangzhou science and technology project under Grant Nos. 201510010017, 201604010101.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Lijuan Liao
    • 1
  • Wei Zhong
    • 2
  • Xuemei Guo
    • 2
    • 3
  • Guoli Wang
    • 2
    • 3
    Email author
  1. 1.School of Electronics and Information TechnologySun Yat-Sen UniversityGuangzhouChina
  2. 2.School of Data and Computer ScienceSun Yat-Sen UniversityGuangzhouPeople’s Republic of China
  3. 3.Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of EducationBeijingPeople’s Republic of China

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