Literature DB >> 15605869

A novel algorithm to estimate the pulse pressure variation index deltaPP.

Mateo Aboy1, James McNames, Tran Thong, Charles R Phillips, Miles S Ellenby, Brahm Goldstein.   

Abstract

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

Mesh：

Year:  2004        PMID： 15605869     DOI： 10.1109/TBME.2004.834295

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


  15 in total

1.  Relations between respiratory changes in R-wave amplitude and arterial pulse pressure in mechanically ventilated patients.

Authors:  Maxime Cannesson; Geoffray Keller; Olivier Desebbe; Jean-Jacques Lehot
Journal:  J Clin Monit Comput       Date:  2010-05-11       Impact factor: 2.502

2.  Visual estimation of pulse pressure variation is not reliable: a randomized simulation study.

Authors:  Joseph Rinehart; Tanzeem Islam; Rob Boud; Allison Nguyen; Brenton Alexander; Cecilia Canales; Maxime Cannesson
Journal:  J Clin Monit Comput       Date:  2012-04-11       Impact factor: 2.502

Review 3.  Pulse pressure variation: where are we today?

Authors:  Maxime Cannesson; Mateo Aboy; Christoph K Hofer; Mohamed Rehman
Journal:  J Clin Monit Comput       Date:  2011-02       Impact factor: 2.502

4.  Accuracy of automated continuous calculation of pulse pressure variation in critically ill patients.

Authors:  Yazine Mahjoub; Emmanuel Lorne; Yannick Micaux; Mélanie Levrard; Norair Airapetian; Mustapha Hijazi; Nassim Ammenouche; François Tinturier; Hervé Dupont
Journal:  Intensive Care Med       Date:  2010-10-20       Impact factor: 17.440

5.  Utility of stroke volume variation measured using non-invasive bioreactance as a predictor of fluid responsiveness in the prone position.

Authors:  Jeong Jin Min; Jong-Hwan Lee; Kwan Young Hong; Soo Joo Choi
Journal:  J Clin Monit Comput       Date:  2016-03-10       Impact factor: 2.502

6.  Respiratory variation in peak aortic velocity accurately predicts fluid responsiveness in children undergoing neurosurgery under general anesthesia.

Authors:  Kavita G Morparia; Srijaya K Reddy; Laura J Olivieri; Michael C Spaeder; Jennifer J Schuette
Journal:  J Clin Monit Comput       Date:  2017-03-16       Impact factor: 2.502

7.  Combination of continuous pulse pressure variation monitoring and cardiac filling pressure to predict fluid responsiveness.

Authors:  Geoffray Keller; Karin Sinavsky; Olivier Desebbe; Jean-Jacques Lehot
Journal:  J Clin Monit Comput       Date:  2012-05-03       Impact factor: 2.502

8.  Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiology.

Authors:  Johannes Enevoldsen; Gavin L Simpson; Simon T Vistisen
Journal:  J Clin Monit Comput       Date:  2022-06-13       Impact factor: 2.502

9.  Automated stroke volume and pulse pressure variations predict fluid responsiveness in mechanically ventilated patients with obstructive jaundice.

Authors:  Feng Zhao; Peng Wang; Shujun Pei; Weidong Mi; Qiang Fu
Journal:  Int J Clin Exp Med       Date:  2015-11-15

10.  A robust Fourier-based method to measure pulse pressure variability.

Authors:  Sebastian Acosta; Mubbasheer Ahmed; Suellen M Yin; Ken M Brady; Daniel J Penny; Craig G Rusin
Journal:  Biomed Signal Process Control       Date:  2020-04-17       Impact factor: 3.880
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.