Multi-Gaussian Fitting for Digital Volume Pulse Using Weighted Least Squares Method

摘要：

Analysis of Digital Volume Pulse (DVP)waveform is a low cost non-invasive method of obtaining vital information related to condition of cardiovascular system.In resent years , different Pulse Decomposition Analysis (PDA)methods have been applied to DVP waveform analysis and clinical meaningful parameters have been obtained.All these methods decomposed single-cycle DVP into a fixed number (such as 2,4 or 5)of individual pulses.In this paper,a Multi-Gaussian (MG)model is proposed to approximate DVP waveform using a variable number (4 or 5 in our study)of Gaussian pulses with normalized root MSE<2.0%.Unknown parameters in MG model are estimated by Weighted Least Squares (WLS)method. Performance of MG model and WLS are evaluated by fitting 80 DVP waveforms with four different types.High agreement between DVP waveform and MG model shows that the model can be used to analyse DVP waveforms.

作者: Lisheng Xu Shuting Feng Yue Zhong Cong Feng Max Q.-H.Meng Huaicheng Yan

作者单位: Sino-Dutch Biomedical and Information Engineering School,Northeastern University Shenyang City,Liaon Sino-Dutch Biomedical and Information Engineering School,Northeastern University Shenyang City,Liaon The Chinese University of Hong Kong,Shatin,Hong Kong School of Information Science and Engineering,East China University of Science and Technology,Shangh

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 544-549

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）