Abstract
Hardware Architecture for Adaptive Dual Threshold Filter and Discrete Wavelet Transform based ECG Signal Denoising
Highlights
The ECG or electrocardiogram is an electrophysiological signal whose trace describes the heart’s electrical activity captured by electrodes puted on the surface of the body
The approach presented in this article is an original method of our research team published for the first time in [11], validated under Matlab in terms of filtering performance of ECG signals; the goal of this work is the on-board implementation of this method to put it into practice for the supervision of patient cardiac data
VHDL is a hardware description language used to describe the behavioral o the studied algorithm; the functional VHDL description can be converted into a logic gate schema that can be implemented in FPGA boards [18]
Summary
The ECG or electrocardiogram is an electrophysiological signal whose trace describes the heart’s electrical activity captured by electrodes puted on the surface of the body. Intelligent diagnostic systems have emerged to better use ECG data in large quantities whose analysis is difficult manually [3]. These systems make it possible to improve the quality of the signal (noise filtering), the enhancement of relevant information, the extraction of information that is not visible by direct visual analysis, as well as to propose a diagnosis that can provide sufficient help to doctors to make the right decisions [4].
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