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Title: RM-IoT: An IoT Based Rapid Medical Response Plan for Smart Cities
Most of the health monitoring applications for response plans are used to alert or notify the users in case of emergency situations. Response plans help in overcoming an emergency scenario in case of a disaster. On several occasions, the person of interest receives medical attention, once there is an on-set of the medical condition. With current smart healthcare facilities, where there are advantages of monitoring one's health on a daily basis, a person does not need to wait to be critically ill or meet with a disaster in order to receive necessary medical services. Leveraging the advantages of smart healthcare architectures in this research, we propose a smart rapid medical response plan, which monitors the physiological signs of people in a community and gives regular feedback or alerts the hospitals accordingly. The proposed framework provides feedback on different scales by ensuring the well-being of the individuals and alerting them to be cautious towards potential health issues. The routing of these sensor networks based on the emergency level is demonstrated using an open-source tool, CupCarbon. The proposed framework was simulated using the ZigBee radio standard and the overall simulation time for 40 nodes was 95 seconds.
Authors:
; ; ; ;
Award ID(s):
1924117 1924112
Publication Date:
NSF-PAR ID:
10157983
Journal Name:
2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)
Page Range or eLocation-ID:
241 to 246
Sponsoring Org:
National Science Foundation
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