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Wavelet transform based ECG signal filtering implemented on FPGA

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Author(s): Germán-Salló Zoltán | Mózes Ferenc-Emil

Journal: Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
ISSN 1841-9267

Volume: 8 (XXV);
Issue: 2;
Start page: 90;
Date: 2011;
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Keywords: Discrete Wavelet Transform | Nonlinear filtering | FPGA

ABSTRACT
Filtering electrocardiographic (ECG) signals is always a challenge because the accuracy of their interpretation depends strongly on filtering results. The Discrete Wavelet Transform (DWT) is an efficient, new and useful tool for signal processing applications and it’s adopted in many domains as biomedical signal filtering. This transform came about from different fields, including mathematics, physics and signal processing, it has a growing applicability due to its so-called multiresolution analyzing capabilities. FPGAs are reconfigurable logic devices made up of arrays of logic cells and routing channels having some specific characteristics which allow to use them in signal processing applications. This paper presents a DWT based ECG signal denoising method implemented on FPGA, using Matlab specific Xilinx tool, as System Generator, the procedure is simulated and evaluated through filtering specific parameters.
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