@inproceedings{82018745cf3d476bb7282787a1c71fc2,
title = "ECG Signal Denoising based on 2D-LMS Filter in Fractional Fourier Domain",
abstract = "ECG is a non-stationary electrical signal, and the process of collecting ECG signal inevitably contains various noises. This paper proposed a new method for ECG signal denoising in fractional Fourier domain. Firstly transform the signal into fractional Fourier domain, and then use 2D-LMS filter to process the characteristics of signal, finally get the denoised signal in time domain by inverse transformation. Simulation experiments are carried out with the data of MIT-BIH database. The results show that this method can restore the waveform characteristics of ECG signal, effectively improve the SNR of noisy ECG signal and reduce its MSE.",
keywords = "ECG denoising, ECG signal, LMS filter, SNR, fractional Fourier domain",
author = "Zhang, {Wen Yi} and Li, {Bing Zhao}",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 4th International Conference on Image, Video and Signal Processing, IVSP 2022 ; Conference date: 18-03-2022 Through 20-03-2022",
year = "2022",
month = mar,
day = "18",
doi = "10.1145/3531232.3531253",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "143--148",
booktitle = "IVSP 2022 - 2022 4th International Conference on Image, Video and Signal Processing",
}