A remote monitoring system with early diagnosis of hypertension and Hypotension

Intelligent systems deliver meaningful information of patient's physiological data and provide essential decision support, on patient's status, to medical professionals. This study focuses on two important areas of healthcare; real-time remote patient monitoring and decision support systems for diagnosing of Hypertension and Hypotension. The proposed real-time, wireless vital sign monitoring system with two-way audio/video conferencing enables medical professionals to provide much enhanced healthcare when compared to the traditional methods. Moreover, the development of a universal diagnostic module for early warning/alert of two physiological disorders (events) including Hypertension and Hypotension will be presented. The proposed system will be tested in real-time hospital environment while the simulation/offline result shows the system has achieved acceptable accuracy, sensitivity, specificity and predictability.