• DocumentCode
    1939289
  • Title

    Design of Pre-processing Circuit for Wireless ECG Monitoring System

  • Author

    Zhu, Jie ; Rao, Nini ; Liang, Dasong ; Chen, Wei

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    598
  • Lastpage
    602
  • Abstract
    Based on the analysis of electrocardiograph (ECG) signal´s characteristic, a pre-processing circuit contains amplifiers and de-noising filters for ECG monitoring system is designed. In the stage of low-pass filter, we improve the maximally flat (MF) filter and make simulation experiments. It can be proved that, by introducing a pair of ja. -axis zeros in the transfer function of MF filter, a good performance on both the smoothness in the pass-band and attenuation in the stop-band can be obtained, and the cutoff is much sharper than that of Butterworth filter for the same order. The circuit has been tested on ECG acquiring experiments on human. Both qualitative and quantitative results show that the proposed pre-processing circuit provides good results.
  • Keywords
    Butterworth filters; band-pass filters; band-stop filters; biomedical electronics; biomedical telemetry; electrocardiography; low-pass filters; signal denoising; Butterworth filter; amplifiers; de-noising filters; electrocardiograph signal; low-pass filter; maximally flat filter; pass-band filters; pre-processing circuit; stop-band filter; wireless ECG monitoring system; Attenuation; Circuit simulation; Circuit testing; Electrocardiography; Low pass filters; Monitoring; Noise reduction; Signal analysis; Signal design; Transfer functions; ECG monitoring; pre-processing circiut; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.60
  • Filename
    4549244