Title
Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context.
Abstract
In the context of hospital management and operation, Intensive Care Units (ICU) are one of the most challenging in terms of time responsiveness and criticality, in which adequate resource management and signal processing play a key role in overall system performance. In this work, a context aware Intensive Care Unit is implemented and analyzed to provide scalable signal acquisition capabilities, as well as to provide tracking and access control. Wireless channel analysis is performed by means of hybrid optimized 3D Ray Launching deterministic simulation to assess potential interference impact as well as to provide required coverage/capacity thresholds for employed transceivers. Wireless system operation within the ICU scenario, considering conventional transceiver operation, is feasible in terms of quality of service for the complete scenario. Extensive measurements of overall interference levels have also been carried out, enabling subsequent adequate coverage/capacity estimations, for a set of Zigbee based nodes. Real system operation has been tested, with ad-hoc designed Zigbee wireless motes, employing lightweight communication protocols to minimize energy and bandwidth usage. An ICU information gathering application and software architecture for Visitor Access Control has been implemented, providing monitoring of the Boxes external doors and the identification of visitors via a RFID system. The results enable a solution to provide ICU access control and tracking capabilities previously not exploited, providing a step forward in the implementation of a Smart Health framework.
Year
DOI
Venue
2018
10.3390/s18020389
SENSORS
Keywords
Field
DocType
Intensive Care Unit,visitor control application,hospital,3D Ray Launching,Smart Health,radio planning
Resource management,Wireless,Quality of service,Real-time computing,Electronic engineering,Access control,Software architecture,Engineering,Intensive care,Communications protocol,Scalability
Journal
Volume
Issue
ISSN
18
2.0
1424-8220
Citations 
PageRank 
References 
3
0.43
13
Authors
8