untitled
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<identifier>oai:HAL:hal-00519589v1</identifier>
<datestamp>2017-12-21</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Distributed decision for medical alerts using wireless sensors.</title>
<creator>Dessart, Nathalie</creator>
<creator>Fouchal, Hacène</creator>
<creator>Hunel, Philippe</creator>
<creator>Gros-Désormeaux, Harry</creator>
<creator>Vidot, Nicolas</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2009.</source>
<source>10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2009.</source>
<coverage>KOS, Greece</coverage>
<identifier>hal-00519589</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00519589</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00519589</source>
<source>10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2009., Jun 2009, KOS, Greece. pp.1-6, 2009</source>
<language>en</language>
<subject lang=en>health care information systems</subject>
<subject lang=en>wireless sensor network</subject>
<subject lang=en>body sensor network</subject>
<subject lang=en>distributed decision</subject>
<subject lang=en>medical care</subject>
<subject lang=en>health care information systems.</subject>
<subject>IEEE</subject>
<subject>[INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]</subject>
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<type>Conference papers</type>
<description lang=en>In this paper we study how to detect anomalies in a distributed manner by using wireless sensor networks (WSN). We focus on a medical context, where existing works generally provide large environments to monitor patients using sensors as simple transducers. Those devices forward sensed health parameters to a main base station. This station collects received data and may perform some computations. In this paper, we perform some distributed tasks on the sensors. We propose a distributed algorithm which allows to raise alarms under some initial rules to alert efficiently medical staff in case of critical situations without needles warnings.</description>
<date>2009-06-15</date>
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