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

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.