A multifunctional wireless body area sensors network with real time embedded data analysis

摘要

Quantitative limitation of sensor nodes, single function and limited data processing capability, are the major problems of traditional Wireless Body Area Network (WBAN). In many applications, numbers of sensor nodes used for multi-parameter synchronous measurements are necessary, which usually require real-time analysis and high portability. This paper presents a multifunctional WBAN with real time embedded data analysis ability. Each sensor node in the WBAN is capable of EEG/ECG/EOG, respiration impedance and body posture measurement. The DSP-embedded node, namely the main node, is solely responsible for the on-line data processing. The experiments demonstrated that this platform is able to afford more than 16 nodes simultaneously, which maintains a low data loss rate and high signal quality even for high sampling rate applications. With the advantage of DSP core, this platform performs perfectly in processing complex data acquired by multiple sensor nodes in real time.