Chourasia Vijay S, Tiwari Anil Kumar
Manoharbhai Patel Institute of Engineering & Technology, Kudwa, Gondia, Maharashtra, India.
ScientificWorldJournal. 2013 May 23;2013:505840. doi: 10.1155/2013/505840. Print 2013.
Fetal phonocardiography (fPCG) based antenatal care system is economical and has a potential to use for long-term monitoring due to noninvasive nature of the system. The main limitation of this technique is that noise gets superimposed on the useful signal during its acquisition and transmission. Conventional filtering may result into loss of valuable diagnostic information from these signals. This calls for a robust, versatile, and adaptable denoising method applicable in different operative circumstances. In this work, a novel algorithm based on wavelet transform has been developed for denoising of fPCG signals. Successful implementation of wavelet theory in denoising is heavily dependent on selection of suitable wavelet basis function. This work introduces a new mother wavelet basis function for denoising of fPCG signals. The performance of newly developed wavelet is found to be better when compared with the existing wavelets. For this purpose, a two-channel filter bank, based on characteristics of fPCG signal, is designed. The resultant denoised fPCG signals retain the important diagnostic information contained in the original fPCG signal.
基于胎儿心音描记术（fPCG）的产前护理系统经济实惠，且由于该系统的非侵入性，具有用于长期监测的潜力。这项技术的主要局限性在于，在信号采集和传输过程中，噪声会叠加在有用信号上。传统滤波可能会导致这些信号中宝贵的诊断信息丢失。这就需要一种适用于不同操作环境的强大、通用且适应性强的去噪方法。在这项工作中，开发了一种基于小波变换的新颖算法，用于fPCG信号的去噪。小波理论在去噪中的成功应用很大程度上依赖于合适小波基函数的选择。这项工作引入了一种用于fPCG信号去噪的新母小波基函数。与现有小波相比，新开发的小波性能更佳。为此，基于fPCG信号的特征设计了一个双通道滤波器组。所得的去噪fPCG信号保留了原始fPCG信号中包含的重要诊断信息
