Abstract
This article presents e-PWV, a web application for the determination of Pulse Wave Velocity (PWV) running on a web platform called NooLib. e-PWV has been applied on signals recorded by an ultrasound system (\(PWV_{et}\), Aloka, Japan) and representing the arterial diameter changes in carotid and femoral sites. \(PWV_{et}\) measurements were compared to PWV recorded by a tonometric technique (\(PWV_{pp}\), PulsePen, Italy). The study was conducted on 120 patients. We found an excellent correlation of r = 0.95 between \(PWV_{et}\) et \(PWV_{pp}\) (\(P<0.0001\); 95% confidence interval of 0.91–0.96; \(PWV_{et}=0.88\times PWV_{pp} + 0.57\)). We observed a small offset of \(-0.33\) ms\(^{-1}\) on the Bland-Altman plot with a limit of agreement from \(-2.21\) to 1.54 ms\(^{-1}\). Our results suggest that e-PWV application can produce online a reliable marker of the regional aortic stiffness using an echotracking system.
The authors would like to thank all ESAIP students who have contributed to the development of the NooLib platform, the Clinical Pathophysiology Laboratory of the University of Pisa and the Clinical Research Center of Angers (France).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Collette, M., Hassine, N., Palombo, C., Leftheriotis, G. (2018). e-PWV: A Web Application for Assessing Online Carotid-Femoral Pulse Wave Velocity. In: Ahmed, M., Begum, S., Fasquel, JB. (eds) Internet of Things (IoT) Technologies for HealthCare. HealthyIoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-76213-5_10
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DOI: https://doi.org/10.1007/978-3-319-76213-5_10
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