A novel algorithm to estimate the pulse pressure variation index ΔPP

Author

Aboy, Mateo ; McNames, James ; Thong, Tran ; Phillips, Charles R. ; Ellenby, Miles S. ; Goldstein, Brahm

Author_Institution

Dept. of Electr. & Comput. Eng., Portland State Univ., OR, USA

Volume

51

Issue

12

fYear

2004

Firstpage

2198

Lastpage

2203

Abstract

We designed a new methodology to estimate the pulse pressure variation index (ΔPP) in arterial blood pressure (ABP). The method uses automatic detection algorithms, kernel smoothing, and rank-order filters to continuously estimate ΔPP. The technique can be used to estimate ΔPP from ABP alone, eliminating the need for simultaneously acquiring airway pressure.

Keywords

blood pressure measurement; blood vessels; medical signal detection; medical signal processing; nonlinear filters; smoothing methods; arterial blood pressure; automatic detection algorithms; kernel smoothing; pulse pressure variation index estimation; rank-order filters; Arterial blood pressure; Band pass filters; Biomedical engineering; Biomedical signal processing; Delay; Detection algorithms; Frequency estimation; Heart rate detection; Hemodynamics; Signal processing algorithms; Cardiac index (CI); fluid responsiveness; pulse pressure variation; respiratory changes in systolic pressure; volume expansion (VE); Algorithms; Blood Pressure; Diagnosis, Computer-Assisted; Humans; Pattern Recognition, Automated; Pulsatile Flow;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2004.834295

Filename

1360041