Hardware/software prototyping of dependable real-time system for elderly health monitoring

Recent technological advances in sensors, low-power microelectronics, and wireless networking enabled the proliferation of wireless sensor networks for wide applications. One of the promising applications of this domain is the distributed remote health monitoring of elderly people. An effective approach to speed up this and other bio-medical applications is to integrate a very high number of processing elements in a single chip so that the massive scale of fine-grain parallelism inherent in several bio-medical applications can be exploited efficiently. In this work, we present architecture and preliminary prototyping results of a novel dependable real-time system (BANSMOM¹) targeted for elderly health monitoring. The proposed system achieves its real-time performance via parallel processing technique and a so called period-peak detection algorithm (PPD) for processing multi-lead Electrocardiography records.