DocumentCode :
1021443
Title :
The Advanced Health and Disaster Aid Network: A Light-Weight Wireless Medical System for Triage
Author :
Tia Gao ; Massey, T. ; Selavo, L. ; Crawford, D. ; Bor-rong Chen ; Lorincz, K. ; Shnayder, V. ; Hauenstein, L. ; Dabiri, F. ; Jeng, J. ; Chanmugam, A. ; White, D. ; Sarrafzadeh, M. ; Welsh, M.
Author_Institution :
Johns Hopkins Univ., Laurel
Volume :
1
Issue :
3
fYear :
2007
Firstpage :
203
Lastpage :
216
Abstract :
Advances in semiconductor technology have resulted in the creation of miniature medical embedded systems that can wirelessly monitor the vital signs of patients. These lightweight medical systems can aid providers in large disasters who become overwhelmed with the large number of patients, limited resources, and insufficient information. In a mass casualty incident, small embedded medical systems facilitate patient care, resource allocation, and real-time communication in the advanced health and disaster aid network (AID-N). We present the design of electronic triage tags on lightweight, embedded systems with limited memory and computational power. These electronic triage tags use noninvasive, biomedical sensors (pulse oximeter, electrocardiogram, and blood pressure cuff) to continuously monitor the vital signs of a patient and deliver pertinent information to first responders. This electronic triage system facilitates the seamless collection and dissemination of data from the incident site to key members of the distributed emergency response community. The real-time collection of data through a mesh network in a mass casualty drill was shown to approximately triple the number of times patients that were triaged compared with the traditional paper triage system.
Keywords :
biomedical electronics; biomedical telemetry; blood pressure measurement; electrocardiography; mesh generation; oximetry; patient monitoring; real-time systems; biomedical monitoring; biomedical sensors; blood pressure cuff; electrocardiogram; electronic triage tags; light-weight wireless medical system; mesh network; multisensor systems; pulse oximeter; real-time data collection; semiconductor technology; Biomedical computing; Biomedical monitoring; Biosensors; Blood pressure; Embedded computing; Embedded system; Mesh networks; Patient monitoring; Real time systems; Resource management; Biomedical monitoring; emergency services; human factors; multisensor systems;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2007.910901
Filename :
4410457
Link To Document :
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