Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/10425
Title: Optimization and implementation of the wavelet based algorithms for embedded biomedical signal processing
Authors: Stojanović R.
Kneževič J.
Karadaglic D.
Devedzic, Goran
Issue Date: 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. By evaluation of the obtained results it is found that the proposed techniques render negligible degradation in detection accuracy of -0.41% and SNR of -2.8%, behind 2-4 times faster calculation, 2 times less memory usage and 5% energy saving. The same approach can be applied with other signals where the embedded implementation of wavelets can be beneficial.
URI: https://scidar.kg.ac.rs/handle/123456789/10425
Type: article
DOI: 10.2298/CSIS120517013S
ISSN: 1820-0214
SCOPUS: 2-s2.0-84874611524
Appears in Collections:Faculty of Engineering, Kragujevac

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