Abstract
Denoising is a primordial stage in ECG signal analysis. The hybrid denoising method based on the DWT and the ADTF methods is one of the efficient algorithms developed for ECG signal denoising. The FPGAs integrated circuits have been successfully used in many applications making them unavoidable. However, FPGAs run with HDLs that describe systems as functional circuits at low-level abstraction. Thus, the integration of the system has become more difficult and time-consuming as the system’s complexity increases. Therefore, numerous High-Level synthesis (HLS) tools have been built to address this problem. These tools allow system description at a higher level of abstraction and generate corresponding synthesizable HDL for FPGAs or ASICs. This work presents an HLS description for the DWT-ADTF filter using the Matlab HDL Coder HLS tool. The algorithm is described inside a Matlab user-defined function and a VHDL architecture is generated. The simulation of the obtained VHDL architecture has been carried out using the Modelsim tool. The ECG signal n°103 from the MIT-BIH Arrhythmia database was used for verification where it was corrupted with an input additive white Gaussian noise (AWGN) of 10 dB. Simulation results show that the signal is well denoising.
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Bendahane, B., Jenkal, W., Laaboubi, M., Latif, R. (2023). HDL Coder Tool for ECG Signal Denoising. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_75
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