Wavelet optimization for applying continuous wavelet transform to maternal electrocardiogram component enhancing*Project supported by the National Natural Science Foundation of China (Grant No. 61271079). (October 2017)
- Record Type:
- Journal Article
- Title:
- Wavelet optimization for applying continuous wavelet transform to maternal electrocardiogram component enhancing*Project supported by the National Natural Science Foundation of China (Grant No. 61271079). (October 2017)
- Main Title:
- Wavelet optimization for applying continuous wavelet transform to maternal electrocardiogram component enhancing*Project supported by the National Natural Science Foundation of China (Grant No. 61271079)
- Authors:
- Yu 于, Qiong 琼
Guan 管, Qun 群
Li 李, Ping 萍
Liu 刘, Tie-Bing 铁兵
Si 司, Jun-Feng 峻峰
Zhao 肇, Ying 莹
Liu 刘, Hong-Xing 红星
Wang 王, Yuan-Qing 元庆 - Abstract:
- Abstract : In the procedure of non-invasive fetal electrocardiogram (ECG) extraction, high-quality maternal R wave peak detection demands enhancing the maternal ECG component firstly. Among all the enhancing algorithms, the one based on the continuous wavelet transform (CWT) is very important and its effectiveness depends on the optimization of the used wavelet. However, up to now, there is still no clear conclusion on the optimal wavelet (including type and scale) for CWT to enhance the maternal ECG component of an abdominal ECG signal. To solve this problem, in this paper, we select several common used types of wavelets to carry out our research on what the optimal wavelets are. We first establish big-enough training datasets with different sampling rates and make a maternal QRS template for each signal in the training datasets. Second, for each type of selected wavelets, we find its optimal scale corresponding to each QRS template in a training dataset based on the principle of maximal correlation. Then calculating the average of all optimized wavelet scales results in the mean optimal wavelet of this type for the dataset. We use two original abdominal ECG databases to train and test the optimized mean optimal wavelets. The test results show that, as a whole, the mean optimal wavelets obtained are superior to the wavelets used in other publications for applying CWT to maternal ECG component enhancing.
- Is Part Of:
- Chinese physics B. Volume 26:Number 11(2017)
- Journal:
- Chinese physics B
- Issue:
- Volume 26:Number 11(2017)
- Issue Display:
- Volume 26, Issue 11 (2017)
- Year:
- 2017
- Volume:
- 26
- Issue:
- 11
- Issue Sort Value:
- 2017-0026-0011-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-10
- Subjects:
- maternal ECG component enhancing -- continuous wavelet transform(CWT) -- wavelet optimization -- correlation
87.85.Ng
Physics -- Periodicals
Physics
Periodicals
530.05 - Journal URLs:
- http://www.iop.org/EJ/journal/CPB ↗
http://www.iop.org/ ↗
http://iopscience.iop.org/1674-1056 ↗ - DOI:
- 10.1088/1674-1056/26/11/118702 ↗
- Languages:
- English
- ISSNs:
- 1674-1056
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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