• DocumentCode
    2690897
  • Title

    A Lossless Characteristic Compression Method for Continuous Arterial Pulse Waveforms

  • Author

    Lin, Albert C -Y ; Huang, Huang-Nan ; Lin, Tzu-Min ; Hsu, Pin-Huang ; Yen, Ching-Chi

  • Author_Institution
    Dept. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    7-9 July 2012
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Arterial blood pressure is one of the important biomedical waveforms that possess lots of important clinical and pathological information. This paper aims in designing a technique, which is called characteristic compression method, to perform almost loss less data compression for the continuous arterial blood pressure waveforms. This method uses the spline function to interpolate the original waveform at preselected sample points first. A fourth order spline function is considered with associated formulas in describing the coefficients of the function. A second stage compression is accompanied by using 12-bit digital data representation to store sample points and coefficients for each interval. Numerical simulation confirms that the proposed technique is feasible and does provide a very high compression rate and almost loss less reconstruction for the continuous arterial pulse wave.
  • Keywords
    blood vessels; data compression; interpolation; medical signal processing; splines (mathematics); waveform analysis; 12-bit digital data representation; arterial blood pressure waveform; biomedical waveform; clinical information; compression rate; continuous arterial pulse waveform; lossless characteristic compression method; lossless data compression; lossless reconstruction; pathological information; spline function; Biomedical monitoring; Blood pressure; Data compression; Diseases; Electrocardiography; Monitoring; Splines (mathematics); blood pressure; jerk; pulse wave; sample point; spline interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4673-2033-7
  • Type

    conf

  • DOI
    10.1109/CMCSN.2012.3
  • Filename
    6245803