,Wavelet optimization for applying continuous wavelet transform to maternal electrocardiogram compon

• 作 者: Qiong Yu Qun Guan Ping Li Tie-Bing Liu Jun-Feng Si Ying Zhao Hong-Xing Liu Yuan-Qing Wang
• 机 构: School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China“,”Nanjing Ge
• 出 处: 中国物理B（英文版）
• 发表日期: 2017年11期
• 关键词: maternal ECG component enhancing continuous wavelet transform (CWT) wavelet opti

In the procedure of non-invasive fetal electrocardiogram (ECG) extraction,high-quality mateal R wave peak detection demands enhancing the mateal 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 matemal 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 mateal 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 mateal ECG component enhancing.