• DocumentCode
    1821416
  • Title

    An accurate heart beat detection method in the EKG recorded in fMRI system

  • Author

    Sung Suk Oh ; Jun-Young Chung ; Hyo Woon Yoon ; Hyun Wook Park

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    656
  • Lastpage
    658
  • Abstract
    The simultaneous recording of functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) provides an efficient signal for the high spatiotemporal brain mapping because each modality provides complementary information. The peak detection in the EEG signal measured in the MR scanner is necessary for removal of the ballistocardiac artifact. Especially, it would be affected by the quality of the EKG signal and the variation of the heart beat rate. Therefore, we propose the peak detection method using a K-teager energy operator (K-TEO) as well as further refinement processes in order to detect precise peaks. We applied this technique to the analysis of simulation waves with random noise and abrupt heat beat changes.
  • Keywords
    biology computing; biomedical MRI; cardiology; electroencephalography; medical signal processing; EEG signal; EKG recording; K-teager energy operator; MR scanner; ballistocardiac artifact; electroencephalogram; fMRI system; functional magnetic resonance imaging; heart beat detection; random noise; refinement processes; spatiotemporal brain mapping; Band pass filters; Brain modeling; Electrodes; Electroencephalography; Frequency; Heart beat; Magnetic field measurement; Pollution measurement; Sampling methods; Signal processing; Algorithms; Automatic Data Processing; Brain Mapping; Electrocardiography; Electroencephalography; Heart Rate; Humans; Magnetic Resonance Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352375
  • Filename
    4352375