Cloud Assisted Recovery Scheme for Compressively Sensed Medical Sensor Data

In recent times health problems like cardiac failure and respiratory issues are on the rise. With the explosion of Internet of Things and development of variety of low cost sensors, monitoring of health parameters remotely has been become a viable alternative to regular hospital visits. This paper proposes a novel remote health parameter monitoring system with compressed sensing mechanism to monitor patients remotely while simultaneously minimizing the amount of information sent over the network. In addition to remote monitoring this system also enables storage of the data on a remote server/cloud solution which can be used for future processing to study health conditions in a retrospective manner.