Finding Needles in a Haystack: Reducing False Alarm Rate Using Telemedicine Mobile Cloud

Qiong Gui, Xiaoliang Wang, Bingwei Liu, Zhanpeng Jin, Yu Chen
2013 2013 IEEE International Conference on Healthcare Informatics  
Wearable body sensors have been widely used to monitor the health status of seniors or patients who live alone. Alarms are sent to e-Health providers when dangerous symptoms are detected. However, high false alarm rate significantly limits the effectiveness of medical monitoring. Telemedicine Mobile Cloud (TMC), leveraging recent advances in sensing, networking, and computing technologies, is an effective and promising solution. In this paper, a TMC based strategy has been proposed, which
more » ... oposed, which identifies needles (real dangers) among the haystacks (alarms) by taking advantage of the real-time, on-site monitoring capability of Android mobile device and the abundant computing power of the cloud. Extensive experimental study has verified that the TMC-enhanced strategy has effectively reduced the false alarm rate.
doi:10.1109/ichi.2013.84 dblp:conf/ichi/GuiWLJC13 fatcat:gyuypasygjgulpshck2u7vmlvu