Noninvasive cuffless blood pressure estimation using pulse transit time and Hilbert-Huang transform

被引：94

作者：

Choi, Younhee ^{[1
]}

Zhang, Qiao ^{[1
]}

Ko, Seokbum ^{[1
]}

机构：

[1] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK, Canada

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2013年 / 39卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1016/j.compeleceng.2012.09.005

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is widely accepted that pulse transit time (PTT), from the R wave peak of electrocardiogram (ECG) to a characteristic point of photoplethysmogram (PPG), is related to arterial stiffness, and can be used to estimate blood pressure. A promising signal processing technology, Hilbert Huang transform (HHT), is introduced to analyze both ECG and PPG data, which are inherently nonlinear and non-stationary. The relationship between blood pressure and PTT is illustrated, and the problems of calibration and re-calibration are also discussed in this paper. Moreover, multi-innovation recursive least square algorithm is employed to update the unknown parameter vector for the model and improve the results. Our algorithm is tested based on the continuous data from MIMIC database, and the accuracy is calculated to validate the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：103 / 111

页数：9

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