TY - GEN
T1 - A multifunctional wireless body area sensors network with real time embedded data analysis
AU - Wang, Yuan
AU - Zheng, Yiping
AU - Bai, Ou
AU - Wang, Qisong
AU - Liu, Dan
AU - Liu, Xin
AU - Sun, Jinwei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - WBAN
KW - embedded data analysis
KW - multiple physiological parameters
KW - real-time
UR - https://www.scopus.com/pages/publications/85014160676
U2 - 10.1109/BioCAS.2016.7833843
DO - 10.1109/BioCAS.2016.7833843
M3 - 会议稿件
AN - SCOPUS:85014160676
T3 - Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
SP - 508
EP - 511
BT - Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
Y2 - 17 October 2016 through 19 October 2016
ER -