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Journal of Medical Systems

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01.10.2015 | Mobile Systems

Cloud-Based Smart Health Monitoring System for Automatic Cardiovascular and Fall Risk Assessment in Hypertensive Patients

verfasst von: P. Melillo, A. Orrico, P. Scala, F. Crispino, L. Pecchia

Erschienen in: Journal of Medical Systems | Ausgabe 10/2015

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Abstract

The aim of this paper is to describe the design and the preliminary validation of a platform developed to collect and automatically analyze biomedical signals for risk assessment of vascular events and falls in hypertensive patients. This m-health platform, based on cloud computing, was designed to be flexible, extensible, and transparent, and to provide proactive remote monitoring via data-mining functionalities. A retrospective study was conducted to train and test the platform. The developed system was able to predict a future vascular event within the next 12 months with an accuracy rate of 84 % and to identify fallers with an accuracy rate of 72 %. In an ongoing prospective trial, almost all the recruited patients accepted favorably the system with a limited rate of inadherences causing data losses (<20 %). The developed platform supported clinical decision by processing tele-monitored data and providing quick and accurate risk assessment of vascular events and falls.

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Titel: Cloud-Based Smart Health Monitoring System for Automatic Cardiovascular and Fall Risk Assessment in Hypertensive Patients
verfasst von: P. Melillo
A. Orrico
P. Scala
F. Crispino
L. Pecchia
Publikationsdatum: 01.10.2015
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 10/2015
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-015-0294-3

Springer Medizin

Abstract

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