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Sensors 2006, 6(9), 1102-1117; doi:10.3390/s6091102

Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals

Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, P.O. Box, Richardson, Texas, USA
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Received: 26 June 2006 / Accepted: 22 September 2006 / Published: 22 September 2006
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Abstract

Patient vital sign monitoring within hospitals requires the use of non-invasivesensors that are hardwired to bedside monitors. This set-up is cumbersome, forcing thepatient to be confined to his hospital bed thereby not allowing him to move around freelywithin the hospital premises. This paper addresses the use of wireless sensor networks formonitoring patient vital sign data in a hospital setting. Crossbow MICAz motes have beenused to design a robust mesh network that routes patient data to a remote base station withinthe hospital premises. A hospital care giver can have access to this data at any point in timeand doesn’t have to be physically present in the patient’s room to review the readings. Thenetwork infrastructure nodes are self-powered and draw energy from overhead 34Wfluorescent lights via solar panels. The sensor nodes can be interfaced to a variety of vitalsign sensors such as electrocardiograms (ECGs), pulse-oximeters and blood pressure (BP)sensors. In order to verify a completely functioning system, a commercial BP/heart-ratemonitor (BPM) was interfaced to a wireless sensor node. The sensor node controls the BPMto initiate a reading, then collects the data and forwards it to the base station. An attractivegraphical user interface (GUI) was designed to store and display patient data on the basestation PC. The set-up was found to be extremely robust with low power consumption. View Full-Text
Keywords: wireless sensor networks; blood pressure; heart-rate; healthcare; hospitals; vital sign monitoring; telemedicine. wireless sensor networks; blood pressure; heart-rate; healthcare; hospitals; vital sign monitoring; telemedicine.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Hande, A.; Polk, T.; Walker, W.; Bhatia, D. Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals. Sensors 2006, 6, 1102-1117.

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