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A robust fetal ECG detection method for abdominal recordings

2007

Article

ei


In this paper, we propose a new method for FECG detection in abdominal recordings. The method consists of a sequential analysis approach, in which the a priori information about the interference signals is used for the detection of the FECG. Our method is evaluated on a set of 20 abdominal recordings from pregnant women with different gestational ages. Its performance in terms of fetal heart rate (FHR) detection success is compared with that of independent component analysis (ICA). The results show that our sequential estimation method outperforms ICA with a FHR detection rate of 85% versus 60% of ICA. The superior performance of our method is especially evident in recordings with a low signal-to-noise ratio (SNR). This indicates that our method is more robust than ICA for FECG detection.

Author(s): Martens, SMM. and Rabotti, C. and Mischi, M. and Sluijter, RJ.
Journal: Physiological Measurement
Volume: 28
Number (issue): 4
Pages: 373-388
Year: 2007
Month: April
Day: 0

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1088/0967-3334/28/4/004
Language: en
Note: Martin Black Prize for best paper Physiological Measurement 2007
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

BibTex

@article{4377,
  title = {A robust fetal ECG detection method for abdominal recordings},
  author = {Martens, SMM. and Rabotti, C. and Mischi, M. and Sluijter, RJ.},
  journal = {Physiological Measurement},
  volume = {28},
  number = {4},
  pages = {373-388},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2007},
  note = {Martin Black Prize for best paper Physiological Measurement 2007},
  month_numeric = {4}
}