What is it about?
This method consists in identifying the ECG and noise frequency range for further zeroing wavelet detail coefficients in the subbands with no ECG coefficients in the frequency content. Afterward, the enhanced ECG signal is obtained by the inverse discrete wavelet transform (IDWT). In order to choose the wavelet function, several experiments were performed with synthetic signals with worse Signal-to-Noise Ratio (SNR).
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Why is it important?
The analysis of electrocardiogram (ECG) signals allows the experts to diagnosis several cardiac disorders. However, the accuracy of such diagnostic depends on the signals quality. In this paper it is proposed a simple method for power-line interference (PLI) removal based on the wavelet decomposition, without the use of thresholding techniques.
Perspectives
The proposed method can be used for PLI removal in ECG signals with superior performance than thresholding and notch filter techniques.
Bruno Rodrigues de Oliveira
Pantanal Editora
Read the Original
This page is a summary of: A wavelet-based method for power-line interference removal in ECG signals, Research on Biomedical Engineering, January 2018, FapUNIFESP (SciELO),
DOI: 10.1590/2446-4740.01817.
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