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

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DOI

  • Radovan Stojanovic
  • Sasa Knezevic
  • Dejan Karadaglic
  • Goran Devedzic

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Original languageEnglish
Pages (from-to)502-523
Number of pages22
JournalComputer Science and Information Systems
Volume10
Issue number1
DOIs
StatePublished - Jan 2013

Abstract

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.

Keywords

  • wavelet transform, microcontroller, QRS, denoising

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