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  • 标题:M-estimation Methods for Fetal Heart Rate Estimation in Impulse Noises
  • 本地全文:下载
  • 作者:Xiaoping Zeng ; Yu Zhou ; Jiao Tao
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:2
  • 页码:175-184
  • DOI:10.14257/ijsip.2015.8.2.18
  • 出版社:SERSC
  • 摘要:Maternal electrocardiogram (MECG) suppression is a critical procedure to estimate fetal heart rate (FHR). The impulse noises in maternal abdomen signals (ADS) include electromyographic interference (EMGI) and fetal R waves, which deteriorate FHR estimation in MECG suppression. In this paper, we introduce the M-estimation methods, a more robust methodology, to extract pure MECG in impulse noises. In order to evaluate the performance of M-estimation methods, two innovative quantitative performance metrics, namely loss degree of fetal R wave and sensitivity of initial value, are proposed. Numerical results show that: (1) FHR estimation using M-estimation methods is more accurate than least square method (LSM) in impulse noises; (2) the robust performance of Fair is better than that of Cauchy in low SNR; (3) the robust performance of Cauchy is superior to that of Fair in high SNR
  • 关键词:Maternal electrocardiogram (MECG) suppression; Fetal heart rate (FHR) ; estimation; M-estimation methods; Quantitative performance metrics
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