ECG Signal De-noising and Baseline Wander Correction Based on CEEMDAN and Wavelet Threshold

@inproceedings{Xu2017ECGSD,
  title={ECG Signal De-noising and Baseline Wander Correction Based on CEEMDAN and Wavelet Threshold},
  author={Yang Xu and Mingzhang Luo and Tao Li and Gangbing Song},
  booktitle={Sensors},
  year={2017}
}
A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold is proposed. Although CEEMDAN is based on empirical mode decomposition (EMD), it represents a significant improvement of the original EMD by overcoming the mode-mixing problem. However, there has been no previous study on using CEEMDAN to de-noise ECG signals, to the authors' best knowledge. In the… CONTINUE READING