Application of Hilbert-Huang transform to heart rate variability analysis

摘要：

The paper introduces a new methodology of heart rate variability(HRV) in time-frequency analysis, which is based on Hilbert-Huang transform. We adopt the empirical mode decompostition(EMD) technique to decompose the R-R interval series into several mono-component signals which become analytic signal by means of Hilbert transform. So a novel algorithm based on Hilbert-Huang transform is proposed to extract the features of HRV signals. The numerical simulation results presented herein show the method can be used to identify the low-frequency and high-frequency bands of HRV more sharply and effectively through Hilbert spectrum than using the Fourier spectrum.

关键词： Heart rate variability (HRV) Time-frequency analysis Hilbert-Huang transform

作者: Li Helong Yang Lihua Huang Daren

作者单位: School of E-Commerce, South China University of Technology, Guangzhou 510006, China School of Mathematics and Computing Science, Sun Yat-Sen University, Guangzhou, 510275, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 648-651

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）