Optimization and implementation of the wavelet based algorithms for embedded biomedical signal processing

Radovan Stojanovic, Sasa Knezevic, Dejan Karadaglic, Goran Devedzic

    Research output: Contribution to journalArticle

    608 Downloads (Pure)


    Existing biomedical wavelet based applications exceed the computational, memory and consumption resources of low-complexity embedded systems. In order to make such systems capable to use wavelet transforms, optimization and implementation techniques are proposed. The Real Time QRS Detector and “De-noising” Filter are developed and implemented in 16-bit fixed point microcontroller achieving 800 Hz sampling rate, occupation of less than 500 bytes of data memory, 99.06% detection accuracy, and 1 mW power consumption.
    Original languageEnglish
    Pages (from-to)502-523
    Number of pages22
    JournalComputer Science and Information Systems
    Issue number1
    Publication statusPublished - Jan 2013



    • wavelet transform
    • microcontroller
    • QRS
    • denoising

    Cite this