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Demo Abstract: MEDiSN: Medical Emergency Detection in Sensor Networks

Summary: Demo Abstract: MEDiSN: Medical Emergency Detection in
Sensor Networks
JeongGil Ko, Razvan Musaloiu-E. Tia Gao Leo Selavo
Jong Hyun Lim, Yin Chen, Andreas Terzis Walt Destler
Johns Hopkins University AID-Networks University of Latvia
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 dur-
ing 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 de-
veloped MEDiSN, a wireless sensor network for monitor-
ing 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


Source: Amir, Yair - Department of Computer Science, Johns Hopkins University


Collections: Computer Technologies and Information Sciences