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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Wu, Shuicai Shen, Yanni Zhou, Zhuhuang Lin, Lan Zeng, Yanjun Gao, Xiaofeng |
| Description | Author Affiliation: Wu S ( Biomedical Engineering Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. Electronic address: wushuicai@bjut.edu.cn.) |
| Abstract | Extracting clean fetal electrocardiogram (ECG) signals is very important in fetal monitoring. In this paper, we proposed a new method for fetal ECG extraction based on wavelet analysis, the least mean square (LMS) adaptive filtering algorithm, and the spatially selective noise filtration (SSNF) algorithm. First, abdominal signals and thoracic signals were processed by stationary wavelet transform (SWT), and the wavelet coefficients at each scale were obtained. For each scale, the detail coefficients were processed by the LMS algorithm. The coefficient of the abdominal signal was taken as the original input of the LMS adaptive filtering system, and the coefficient of the thoracic signal as the reference input. Then, correlations of the processed wavelet coefficients were computed. The threshold was set and noise components were removed with the SSNF algorithm. Finally, the processed wavelet coefficients were reconstructed by inverse SWT to obtain fetal ECG. Twenty cases of simulated data and 12 cases of clinical data were used. Experimental results showed that the proposed method outperforms the LMS algorithm: (1) it shows improvement in case of superposition R-peaks of fetal ECG and maternal ECG; (2) noise disturbance is eliminated by incorporating the SSNF algorithm and the extracted waveform is more stable; and (3) the performance is proven quantitatively by SNR calculation. The results indicated that the proposed algorithm can be used for extracting fetal ECG from abdominal signals. |
| File Format | HTM / HTML |
| ISSN | 00104825 |
| Issue Number | 10 |
| Volume Number | 43 |
| e-ISSN | 18790534 |
| Journal | Computers in Biology and Medicine |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2013-10-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Biology Discipline Biomedical Informatics Algorithms Electrocardiography Methods Fetal Monitoring Models, Cardiovascular Wavelet Analysis Computer Simulation Female Fetus Physiology Humans Pregnancy Journal Article |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Informatics Computer Science Applications |
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