About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

e-PWV: A Web Application for Assessing Online Carotid-Femoral Pulse Wave Velocity

Download(Requires a free EAI acccount)
242 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-319-76213-5_10,
        author={Mathieu Collette and Naoures Hassine and Carlo Palombo and Georges Leftheriotis},
        title={e-PWV: A Web Application for Assessing Online Carotid-Femoral Pulse Wave Velocity},
        proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings},
        proceedings_a={HEALTHYIOT},
        year={2018},
        month={2},
        keywords={Arterial stiffness Echo-tracking Ultrasound Web},
        doi={10.1007/978-3-319-76213-5_10}
    }
    
  • Mathieu Collette
    Naoures Hassine
    Carlo Palombo
    Georges Leftheriotis
    Year: 2018
    e-PWV: A Web Application for Assessing Online Carotid-Femoral Pulse Wave Velocity
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-319-76213-5_10
Mathieu Collette,*, Naoures Hassine1, Carlo Palombo2, Georges Leftheriotis
  • 1: Groupe ESAIP
  • 2: University of Pisa
*Contact email: collettemathieu@noolib.com

Abstract

This article presents e-PWV, a web application for the determination of Pulse Wave Velocity () running on a web platform called . e-PWV has been applied on signals recorded by an ultrasound system (, Aloka, Japan) and representing the arterial diameter changes in carotid and femoral sites. measurements were compared to recorded by a tonometric technique (, PulsePen, Italy). The study was conducted on 120 patients. We found an excellent correlation of r = 0.95 between et (; 95% confidence interval of 0.91–0.96; ). We observed a small offset of  ms on the Bland-Altman plot with a limit of agreement from to 1.54 ms. Our results suggest that e-PWV application can produce online a reliable marker of the regional aortic stiffness using an echotracking system.

Keywords
Arterial stiffness Echo-tracking Ultrasound Web
Published
2018-02-21
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-76213-5_10
Copyright © 2017–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL