TY - GEN
T1 - Finding needles in a haystack
T2 - 2013 1st IEEE International Conference on Healthcare Informatics, ICHI 2013
AU - Gui, Qiong
AU - Wang, Xiaoliang
AU - Liu, Bingwei
AU - Jin, Zhanpeng
AU - Chen, Yu
PY - 2013
Y1 - 2013
N2 - 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 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.
AB - 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 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.
KW - E-Health Service
KW - False Positive Alarms
KW - Remote Patient Monitoring
KW - Telemedicine Mobile Cloud
UR - https://www.scopus.com/pages/publications/84893468885
U2 - 10.1109/ICHI.2013.84
DO - 10.1109/ICHI.2013.84
M3 - Conference contribution
AN - SCOPUS:84893468885
SN - 9780769550893
T3 - Proceedings - 2013 IEEE International Conference on Healthcare Informatics, ICHI 2013
SP - 541
EP - 544
BT - Proceedings - 2013 IEEE International Conference on Healthcare Informatics, ICHI 2013
Y2 - 9 September 2013 through 11 September 2013
ER -