TY - GEN
T1 - Apply data mining on location-based healthcare system
AU - Cheng, Chen Yang
AU - Chen, Ja Hao
AU - Lan, Tsuo Hung
AU - Chan, Chin Hong
AU - Huang, Yu Hsun
PY - 2013
Y1 - 2013
N2 - In recent years, mostly hospital substantially applied Zigbee to establish wireless sensor networks for avoiding human errors and decreasing potential healthcare safety problems. Current researches mostly focused on patients' physiological signals like their heart beats and body temperatures monitoring. However, the patient localization was seldom mentioned, which made the healthcare personnel fail to notice that patients might step into potential dangerous areas and be in danger. For that reason, the main idea of this research is to propose a two-step clustering localization algorithm combining the ZigBee Wireless Sensor Network. With this technology, a real-time monitoring healthcare system could be constructed to enhance the accuracy of tracking patients' location.
AB - In recent years, mostly hospital substantially applied Zigbee to establish wireless sensor networks for avoiding human errors and decreasing potential healthcare safety problems. Current researches mostly focused on patients' physiological signals like their heart beats and body temperatures monitoring. However, the patient localization was seldom mentioned, which made the healthcare personnel fail to notice that patients might step into potential dangerous areas and be in danger. For that reason, the main idea of this research is to propose a two-step clustering localization algorithm combining the ZigBee Wireless Sensor Network. With this technology, a real-time monitoring healthcare system could be constructed to enhance the accuracy of tracking patients' location.
UR - http://www.scopus.com/inward/record.url?scp=84865652010&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28807-4_47
DO - 10.1007/978-3-642-28807-4_47
M3 - Conference contribution
AN - SCOPUS:84865652010
SN - 9783642288067
T3 - Lecture Notes in Electrical Engineering
SP - 337
EP - 342
BT - Recent Progress in Data Engineering and Internet Technology
T2 - International Conference on Data Engineering and Internet Technology, DEIT 2011
Y2 - 15 March 2012 through 17 March 2012
ER -
