• DocumentCode
    2520251
  • Title

    SoC Model Analysis for ECG Data Acquisition with Wireless Sensor Network

  • Author

    Li Zheying ; Liu Jia ; Wang Shuying ; Li Shuo

  • Author_Institution
    Inst. of Micro Electron. Applic. Tech, Beijing Union Univ. (BUU), Beijing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Mixed signal SoC for ECG waveform acquisition is designed and discussed in this paper. The SoC is a terminal of a special wireless sensor network (WSN) as a data source. Time parameters and communication band width are discussed. Especially, to satisfy the requirements of ECG waveform data acquisition and transmission the relation of sampling rate and communication band width is discussed. Based on the analysis of ECG frequency characteristics and the real time requirements of the WSN, synchronous data acquisition and transmission architecture of the SoC is designed. The DFG (Data flow graphic) model of the architecture is built for time parameters analysis and circuits design as well.
  • Keywords
    biomedical communication; data acquisition; data communication; electrocardiography; medical signal processing; system-on-chip; wireless sensor networks; DFG; ECG data acquisition; ECG data transmission; ECG frequency characteristics; ECG waveform acquisition; SoC mixed signals; SoC model analysis; SoC terminal; WSN data source; communication bandwidth; data flow graphic model; sampling rate; synchronous data acquisition; wireless sensor network; Circuit analysis; Data acquisition; Data analysis; Electrocardiography; Flow graphs; Frequency; Graphics; Sampling methods; Signal design; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163411
  • Filename
    5163411