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MEDiSN: Medical Emergency Detection in Sensor JEONGGIL KO, JONG HYUN LIM, YIN CHEN, RAZVAN MUSALOIU-E., ANDREAS
 

Summary: MEDiSN: Medical Emergency Detection in Sensor
Networks
JEONGGIL KO, JONG HYUN LIM, YIN CHEN, RAZVAN MUSALOIU-E., ANDREAS
TERZIS and GERALD M. MASSON
Johns Hopkins University
TIA GAO and WALT DESTLER
Aid Networks
and
LEO SELAVO
University of Latvia
and
RICHARD P. DUTTON
University of Maryland Medical Center
Staff shortages and an increasingly aging population are straining the ability of emergency de-
partments to provide high quality care. At the same time, there is a growing concern about
the hospitals' ability to provide effective care during disaster events. For these reasons, tools
that automate patient monitoring have the potential to greatly improve efficiency and quality of
health care. Towards this goal, we have developed MEDiSN, a wireless sensor network for mon-
itoring patients' physiological data in hospitals and during disaster events. MEDiSN comprises
Physiological Monitors (PMs) which are custom-built, patient-worn motes that sample, encrypt,

  

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

 

Collections: Computer Technologies and Information Sciences