Smart mobile system for body sensor network

Abstract

This paper presents a smart mobile system for a body sensor network (BSN) that collects, displays, analyzes and streams multiple sensor data to a centralized computing server. Multiple wireless protocols including the Bluetooth, cellular data network, Wi-Fi and Near Field Communication (NFC) are used to transmit sensor data. An Intelligent Personal Communication Node (iPCN) using an Android smartphone is introduced consisting of sensor data collection, processing, analysis and transmission by the smartphone. Various sensor data are tested including acceleration, temperature and electrocardiography (ECG) data to demonstrate system extensibility. Particularly for ECG sensor data, a QRS detection algorithm for heart beat rate (HBR) calculation is implemented to demonstrate Android system computation feasibility for real-time signal processing. A major advantage of the Android system is the ability to communicate with sensor nodes on-demand and to acquire realtime multiple sensor data simultaneously. The proposed smart sensing system is not restricted to BSN, but also can have applications for any critical environment that requires instantaneous and remotely accessible monitoring system.