TY - GEN
T1 - MEDiSN
T2 - 6th ACM Conference on Embedded Networked Sensor Systems, SenSys 2008
AU - Ko, Jeong Gil
AU - Musǎloiu-Elefteri, Rǎzvan
AU - Lim, Jong Hyun
AU - Chen, Yin
AU - Terzis, Andreas
AU - Gao, Tia
AU - Destler, Walt
AU - Selavo, Leo
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78650868044&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650868044&partnerID=8YFLogxK
U2 - 10.1145/1460412.1460452
DO - 10.1145/1460412.1460452
M3 - Conference contribution
AN - SCOPUS:78650868044
SN - 9781595939906
T3 - SenSys'08 - Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems
SP - 361
EP - 362
BT - SenSys'08 - Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems
Y2 - 5 November 2008 through 7 November 2008
ER -