Gupta Praveen, Sharma Kamalesh Kumar, Joshi Shiv Dutt
Department of Electronics and Communication Engineering , Malviya National Institute of Technology , 26, Gayatri Nagar-B, Durgapura, Jaipur, Rajasthan 302018 , India.
Department of Electrical Engineering , Indian Institute of Technology , New Delhi 110016 , India.
Healthc Technol Lett. 2015 Nov 26;2(6):164-6. doi: 10.1049/htl.2015.0029. eCollection 2015 Dec.
A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal-to-noise ratio. To evaluate the performance of the proposed method, real BW signals are added to synthetic and clinical electrocardiogram (ECG) signals. It is shown that presented methodology has significant scope of removing BW noise in real world ECG signals.
提出了一种基于多变量经验模态分解去除基线漂移（BW）噪声的新方法。将该方法与最近引入的使用希尔伯特振动分解去除BW的技术在相关系数准则和信噪比方面进行了比较。为了评估该方法的性能，将实际的BW信号添加到合成和临床心电图（ECG）信号中。结果表明，所提出的方法在去除实际心电图信号中的BW噪声方面具有显著的应用范围。
