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Short-range wireless sensor network for critical care monitoring

Short-range wireless sensor network for critical care monitoring A Scandinavian research consortium collaborated to develop a wireless clinical monitoring platform. A collection of experimental wireless sensor prototypes were implemented in complex, process-control software modified for the project. The objective was to facilitate real-time and historical point-of-care sensor data for clinical decision support in critical care. The shortrange wireless radio frequency platform used in the project was the IEEE 802.15.4 wireless personal area network standard. Invasive sensors included an arterial blood pressure sensor, an epicardial three-axis accelerometer and a digital pulmonary air leakage system. Non-invasive sensor signals came from an electrocardiogram sensor, a pulse oximeter, a medical radar prototype and a temperature sensor. Radio frequency signals from sensors to base stations and onwards in the wireless sensor network architecture were scrutinised during experimental surgery. Qualitative assessment of the sensor data presentation was made. Shadowing effects influencing the radio frequency channel performance was quantified. The shadowing effects were caused by the dynamic work pattern of the clinical team in combination with stationary equipment in the operating room during surgery. Shadowing effects did not compromise the quality of wireless sensor data severely. An evaluation of the communication links between individual sensors and two separate base stations are provided in this paper. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Autonomous and Adaptive Communications Systems Inderscience Publishers

Short-range wireless sensor network for critical care monitoring

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1754-8632
eISSN
1754-8640
DOI
10.1504/IJAACS.2013.054826
Publisher site
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Abstract

A Scandinavian research consortium collaborated to develop a wireless clinical monitoring platform. A collection of experimental wireless sensor prototypes were implemented in complex, process-control software modified for the project. The objective was to facilitate real-time and historical point-of-care sensor data for clinical decision support in critical care. The shortrange wireless radio frequency platform used in the project was the IEEE 802.15.4 wireless personal area network standard. Invasive sensors included an arterial blood pressure sensor, an epicardial three-axis accelerometer and a digital pulmonary air leakage system. Non-invasive sensor signals came from an electrocardiogram sensor, a pulse oximeter, a medical radar prototype and a temperature sensor. Radio frequency signals from sensors to base stations and onwards in the wireless sensor network architecture were scrutinised during experimental surgery. Qualitative assessment of the sensor data presentation was made. Shadowing effects influencing the radio frequency channel performance was quantified. The shadowing effects were caused by the dynamic work pattern of the clinical team in combination with stationary equipment in the operating room during surgery. Shadowing effects did not compromise the quality of wireless sensor data severely. An evaluation of the communication links between individual sensors and two separate base stations are provided in this paper.

Journal

International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers

Published: Jan 1, 2013

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