Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains

By Md. Ashfanoor Kabir, Celia Shahnaz. Biomedical Signal Processing and Control, 2012

448 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/348693155760d23ea278643c75220c0046671778

How researchers see this paper

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In Computer Vision and Pattern Recognition

1. Hsin-Tien Chiang
2. Yu Tsao
3. Shao-Yi Chien
4. Kuo-Hsuan Hung
5. Szu-Wei Fu
6. Yi-Yen Hsieh
7. Thierry Bouwmans

Citations in the corpus

• Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (2019, methodology): “In order to prevent noisy inference, several approaches have been reported to denoise ECG signals based on adaptive filtering [8]–[10], wavelet methods [11]–[13], and empirical mode decomposition (EMD) [14]–[16].”