A novel technique for extraction of FECG using multi stage adaptive filtering

被引：23
作者：
Swarnalatha R. [1 ]
Prasad D.V. [1 ]
机构：
[1] Department of EIE, BITS PILANI-Dubai
来源：
Journal of Applied Sciences | 2010年 / 10卷 / 04期
关键词：
Adaptive filtering; AECG; FECG; MECG; TECG;
D O I：
10.3923/jas.2010.319.324
中图分类号：
学科分类号：
摘要：
In this study, a two stage adaptive filtering along with the denosing technique to extract the FECG from the maternal abdominal signal is proposed. This method leads to enhancement of fetal ECG by canceling maternal ECG. The FECG extraction is from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG (TECG) is assumed to be almost completely maternal while the abdominal ECG (AECG) is considered to be composite as it contains both the mother's and fetus ECG signals. The proposed method is applied to real ECG signals to demonstrate its superior effectiveness and it is found to meet or exceed that of the published results using other techniques. The algorithm performance with sensitivity, positive predictivity and accuracy were calculated and the obtained results indicate high detection ability. © 2010 Asian Network for Scientific Information.
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页码：319 / 324
页数：5
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  • [1] Abboud S., Alaluf A., Einav S., Sadeh D., Real time abdominal fetal ECG recording using hardware correlator, Comput. Biol. Med, 22, pp. 325-335, (1992)
  • [2] Azad K.A.K., Fetal QRS complex detection from abdominal ECG: A fuzzy approach, Proceedings of Ieee Nordic Signal Processing Symposium, (nsps'00), Kolmarden, Sweden, pp. 275-278, (2000)
  • [3] Azevedo S., Longini R.L., Abdominal lead fetal electro-cardiographic R-wave enhancement for heart rate determination, Ieee Trans. Biomed. Eng, 27, pp. 255-260, (1980)
  • [4] Barros A.K., Extracting the fetal heart rate variability using a frequency tracking algorithm, Neurocomputing, 49, pp. 279-288, (2002)
  • [5] Callaerts D., Moor B.D., Vandewalle J., Sansen W., Comparison of SVD methods to extract the fetal electrocardiogram from coetaneous electrode signals, Med. Biol. Eng. Comput, 28, pp. 217-224, (1990)
  • [6] Camps G., Martinez M., Sofia E., Fetal ECG extraction using an FIR neural network, Proceedings of Computers In Cardiology, Sept. 23-26, Rotterdam, pp. 249-25, (2001)
  • [7] Deam A., The use of foetal electrocardiogram, Am. J. Obstetrics Gynecol, 101, pp. 9-17, (1994)
  • [8] Ibahimy M.I., Ahmed F., Mohd Ali M.A., Zahedi E., Real time signal processing for fetal heart rate monitoring, Ieee Med. Biol. Eng. Comput, 50, pp. 258-261, (2003)
  • [9] Kam A., Cohen A., Detection of fetal ECG with IIR adaptive filtering and genetic algorithms, Proceedings of Ieee International Conference On Acoustics, Speech and Signal Processing, March 15-19, Arizona, pp. 2335-233, (1999)
  • [10] Khamene A., Negahdaripour S., A new method for the extraction of fetal ECG from the composite abdominal signal, Ieee Trans. Biomed. Eng, 47, pp. 507-516, (2000)
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