• DocumentCode
    3504734
  • Title

    Preprocessing MAMD and RSEF for R-R interval detection of ECG

  • Author

    Kohama, Takashi ; Nakamura, Shogo ; Hoshino, Hiroshi

  • Author_Institution
    Dept. of Electron. Eng., Tokyo Denki Univ., Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    36495
  • Firstpage
    1162
  • Abstract
    Electrocardiogram (ECG) is used in order to discover heart disease early. Especially, the R-R interval gives useful information about the heart condition. The purpose of this study is the detection of an accurate R wave position in order to extract the R-R interval of the ECG. Recently, a method for detecting the position of an R wave was proposed using moving averaged magnitude difference (MAMD). Since there is an individual difference in the ECG waveform, however, improvement of the approach is necessary. The authors proposed the R/S wave enhancement filter (RSEF) for preprocessing and an R wave detection algorithm which adaptively decides the search region. The algorithm searches for only the short time duration estimated from the most recent R-wave position in order to detect the next R-wave efficiently. The authors call this duration a Window. In this paper, the comparison between the MAMD and the RSEF is also investigated
  • Keywords
    adaptive signal processing; diseases; electrocardiography; medical signal detection; medical signal processing; ECG R-R interval detection; ECG waveform; R/S wave enhancement filter; accurate R wave position; early heart disease discovery; electrodiagnostics; individual difference; moving averaged magnitude difference; signal preprocessing; Adaptive filters; Cardiac disease; Detection algorithms; Detectors; Educational institutions; Electrocardiography; Frequency; Heart; Monitoring; Noise figure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 99. Proceedings of the IEEE Region 10 Conference
  • Conference_Location
    Cheju Island
  • Print_ISBN
    0-7803-5739-6
  • Type

    conf

  • DOI
    10.1109/TENCON.1999.818632
  • Filename
    818632