MEDiSN: Medical emergency detection in sensor networks

Jeong Gil Ko, Rǎzvan Musǎloiu-Elefteri, Jong Hyun Lim, Yin Chen, Andreas Terzis, Tia Gao, Walt Destler, Leo Selavo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Staff shortages and an increasingly aging population are straining the ability of emergency departments to provide high-quality care. Moreover, there is a growing concern about the ability of hospitals to provide effective care during disaster events. Tools that automate patient monitoring would greatly improve efficiency, quality of care, and the volume of patients treated. Towards this goal, we have developed MEDiSN, a wireless sensor network for monitoring patients' vital signs in hospitals and disaster events. MEDiSN consists of Patient Monitors which are custom-built, patient-worn motes that sample, compress and secure medical data, and Relay Points that form a static multi-hop wireless backbone for carrying patient data. Moreover, MEDiSN includes a back-end server that persistently stores medical data and presents them to multiple GUI clients. MEDiSN's heterogeneous architecture enables it to address the compound challenge of reliably delivering large volumes of data while meeting the application's QoS requirements.

Original languageEnglish
Title of host publicationSenSys'08 - Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems
Pages361-362
Number of pages2
DOIs
Publication statusPublished - 2008
Event6th ACM Conference on Embedded Networked Sensor Systems, SenSys 2008 - Raleigh, NC, United States
Duration: 2008 Nov 52008 Nov 7

Publication series

NameSenSys'08 - Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference6th ACM Conference on Embedded Networked Sensor Systems, SenSys 2008
Country/TerritoryUnited States
CityRaleigh, NC
Period08/11/508/11/7

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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