Comparison between different wavelet transforms and thresholding techniques for ECG denoising

机译：ECG去噪的不同小波变换和阈值技术的比较

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ECG Signal holds critical information regarding the physiology and pathological functions of heart. Quite often, they get corrupted by different type of noises, so to get proper information, it is essential to perform the denoising. This paper discusses the denoising of three different type of noises which generally corrupts the ECG signal viz. power line interference, baseline drift noise and EMG (wideband stochastic) noise. The denoising is performed over these noisy signals using five different thresholding techniques clubbed with ten different wavelet transform functions from the wavelet family. Finally, for each type of noise the optimized combination of thresholding technique and wavelet function is suggested.

机译：心电图信号保存有关心脏的生理和病理功能的重要信息。通常，它们会因不同类型的噪声而损坏，因此要获得正确的信息，执行降噪至关重要。本文讨论了通常会损坏ECG信号的三种不同类型噪声的降噪。电力线干扰，基线漂移噪声和EMG（宽带随机）噪声。使用五种不同的阈值技术对这些噪声信号进行去噪，这些阈值技术结合了来自小波家族的十种不同的小波变换函数。最后，针对每种类型的噪声，提出了阈值技术和小波函数的优化组合。

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来源
《2014 International Conference on Advances in Engineering and Technology Research》|2014年|1-6|共6页
会议地点 Unnao (IN)
作者
Chaudhary Mahipal Singh; Kapoor Rajiv Kumar; Sharma Arvind Kumar;
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作者单位

Dept. of ECE, Delhi Technol. Univ., New Delhi, India;

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原文格式 PDF
正文语种 eng
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关键词
electrocardiography; medical signal processing; signal denoising; wavelet transforms; ECG denoising; ECG signal; EMG noise; power line interference; thresholding techniques; wavelet transforms; wideband stochastic noise; Electrocardiography; Electromyography; Noise reduction; Signal to noise ratio; Wavelet transforms; Baseline Wander noise; Discrete Wavelet Transform (DWT); Electrocardiography (ECG); Electromyography (EMG) noise; Inverse Discrete Wavelet Transform (IDWT); Mean Square Error (MSE); Power-line interfere;

机译：心电图;医学信号处理;信号降噪;小波变换; ECG去噪; ECG信号; EMG噪声;电力线干扰;阈值技术;小波变换;宽带随机噪声;心电图;心电图学;降噪;信噪比;小波变换;基线漂移噪声；离散小波变换（DWT）；心电图（ECG）；心电图（EMG）噪声；离散小波逆变换（IDWT）；均方误差（MSE）；电力线干扰;

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1. Performance comparison of wavelet thresholding techniques on weak ECG signal denoising [J] . Mehmet UESTUENDAG, Abdulkadir SENGUER, Muammer GOEKBULUT, Przeglad Elektrotechniczny . 2013,第5期

机译：小波阈值技术在弱心电信号降噪中的性能比较
2. Dual-tree complex wavelet transform technique-based optimal threshold tuning system to deliver denoised ECG signal [J] . Transactions of the Institute of Measurement and Control . 2020,第4期

机译：双树复杂小波变换技术的最优阈值调谐系统，以提供去噪的心电图信号
3. ECG Signal Denoising Using Wavelet Thresholding Techniques in Human Stress Assessment [J] . M. Murugappan, P. Karthikeyan, S.Yaacob International Journal on Electrical Engineering and Informatics . 2012,第2期

机译：在人体压力评估中使用小波阈值技术进行ECG信号降噪
4. Comparison between different wavelet transforms and thresholding techniques for ECG denoising [C] . Chaudhary Mahipal Singh, Kapoor Rajiv Kumar, Sharma Arvind Kumar International Conference on Advances in Engineering and Technology Research . 2014

机译：ECG去噪的不同小波变换与阈值技术的比较
5. Enhancement in Low-Dose Computed Tomography Through Image Denoising Techniques: Wavelets and Deep Learning [D] . Mohammadi Khoroushadi, Mohammad Sadegh. 2018

机译：通过图像去噪技术的低剂量计算断层扫描的增强：小波和深度学习
6. A New Underwater Acoustic Signal Denoising Technique Based on CEEMDAN Mutual Information Permutation Entropy and Wavelet Threshold Denoising [O] . Yuxing Li, Yaan Li, Xiao Chen, 2018

机译：一种基于CeeMDAN互信息置换熵和小波阈值去噪的新的水下声学信号去噪技术
7. Denoising of ECG signal using thresholding techniques with comparison of different types of wavelet [O] . Upasana Mishra, Mr.Love Verma 2013

机译：使用阈值技术对ECG信号进行去噪，并对不同类型的小波进行比较

Comparison between different wavelet transforms and thresholding techniques for ECG denoising

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