Abstract
The electrocardiogram (ECG) signal is an extensively used biomedical signal for diagnosis of heart diseases. However, the quality of ECG signal is deteriorated by several noises during its acquisition. The two dominant and recurring noises are power line interference and baseline wander noise and they have to be removed for better clinical evaluation. This paper proposes a new ECG denoising system using a combination of Empirical Mode Decomposition (EMD) algorithm and FFT-based frequency analysis. The proposed ECG denoising system is first simulated and validated using MATLAB. Then, it is implemented in TMS320C6713 DSP processor using Code Composer Studio (CCS). The proposed system is tested with the standard ECG signals obtained from Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrhythmia Database. The root mean square error (RMSE) and correlation coefficient are used as the evaluation measure to compare the performance of the proposed method with an existing denoising system. The experimental results with reduced RMSE value and the average correlation coefficient of 0.9889 between the original ECG and the denoised one indicate the successful removal of power line interference and baseline wander noise by the proposed ECG denoising system.
Published Version
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