A New QRS Detection Algorithm Based on Empirical Mode Decomposition
A new QRS complex detection algorithm based on the empirical mode decomposition (EMD) is proposed in this paper. The EMD can first decompose the ECG signal into a series of oscillatory components called intrinsic mode functions (IMFs). Then with the softthreshold denoising method on the first three IMFs, we construct the detection layer that is suitable for QRS detection. Using the corresponding relationship between the feature points of QRS complex and the modulus maxima of the detection layer, the QRS complex detection is realized. The proposed EMD-based method was validated through experiments on the MIT-BIH arrhythmia database and a QRS detection rate of 99.34％ was achieved.
empirical mode decomposition (EMD) QRS complez detection intrinsic mode function (IMF)
Xing Hongyan Huang Minsong
School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing, China
国际会议
上海
英文
693-696
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）