DocumentCode :
3439466
Title :
Wavelet analysis method for processing and recognition of abdominal fetal ECG waveform
Author :
Datian, Ye ; Yu, Cao ; Qin, Gong
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
3
fYear :
1998
fDate :
1998
Firstpage :
121
Abstract :
In the paper a method is presented for eliminating the maternal electrocardiogram (MECG) from the abdominal signal to enhance the fetal electrocardiogram (FECG). In the method, the FECG signal can be amplified till saturated distortion, even saturation of MECG has happened. The result is derived from utilization of wavelet analysis. At first, the wavelet analysis approach is used to detect the position of the MECG in saturated distortion. Then the MECG is eliminated from the abdominal signal. Next it is used to enhance the FECG so that FECG can be extracted from the high noise. The advantage of the proposed method is that it is not limited by the distorted MECG. Tests on clinical data have shown that this method can be more effective in detecting the FECG signal in many cases when compared with other methods in practice
Keywords :
electrocardiography; medical signal detection; medical signal processing; obstetrics; pattern recognition; wavelet transforms; abdominal fetal ECG waveform; abdominal signal; maternal electrocardiogram elimination; noise; saturated distortion; wavelet analysis method; Abdomen; Electrocardiography; Matched filters; Signal analysis; Signal detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
Type :
conf
DOI :
10.1109/ICECS.1998.813949
Filename :
813949
Link To Document :
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