• DocumentCode
    3072034
  • Title

    Quality Controlled ECG Compression using Maxlift and Medlift Transforms

  • Author

    Aggarwal, Vibha ; Patterh, Manjeet Singh

  • Author_Institution
    ECE, COE, Punjabi Univ. Neighborhood Campus, Rampura
  • fYear
    2009
  • fDate
    6-7 March 2009
  • Firstpage
    40
  • Lastpage
    43
  • Abstract
    A new quality controlled Maxlift and Medlift transforms based compression methods for electrocardiogram (ECG) signal are presented. The ECG signal is transformed using Maxlift and Medlift. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within the tolerance. Then, the binary lookup table is made to store the position map for zero and non-zero coefficients (NZC). The NZC are quantized by Max-Lloyd quantizer followed by Arithmetic codng. Lookup table is encoded by Huffman coding. The results are presented on different ECG signals of varying characteristics. The results show that Medlift gives better performance as compared to the Maxlift.
  • Keywords
    Huffman codes; arithmetic codes; data compression; electrocardiography; medical signal processing; quality control; quantisation (signal); transforms; Huffman coding; Max-Lloyd quantizer; arithmetic coding; binary lookup table; bisection algorithm; electrocardiogram; encoding; maxlift transform; medlift transform; nonzero coefficient; percentage root mean square difference; quality controlled ECG compression; Chromium; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Heart; Karhunen-Loeve transforms; Pulse modulation; Root mean square; Signal processing; Signal processing algorithms; ECG compression; Maxlift; Medlift; PRD; quality controlled;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference, 2009. IACC 2009. IEEE International
  • Conference_Location
    Patiala
  • Print_ISBN
    978-1-4244-2927-1
  • Electronic_ISBN
    978-1-4244-2928-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2009.4808977
  • Filename
    4808977