基于小波改进阈值的肌电干扰降噪研究与效果评估
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长春大学电子信息工程学院,长春 130022

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TP391.9

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长春大学秋实基金项目(No.ZKQ201902、No.ZKQ202007)资助


Research of noise reduction algorithm and effect Evaluation about EMG interference based on improved wavelet threshold
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College of Electronics and Information Engineering, Changchun University,Changchun,130022, China

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    摘要:

    肌电干扰是心电信号采集过程由于肌肉的轻微颤动引起的噪声干扰,因此需要对采集到的心电信号进一步的去噪。针对传统小波阈值去噪算法对心电信号去噪后存在信号震荡与失真问题,文中提出一种含有两个动态参数的改进小波阈值函数,通过动态参数可以对改进阈值函数进行整体和局部的调节,从而达到可以对不同程度的噪声进行去噪的目的。为了验证新阈值函数的去噪效果,采用信噪比、均方差和心电信号的时频域特征3种评估指标,对本文改进的阈值函数和传统的肌电干扰去噪算法进行去噪效果的比较。研究结果表明:本文改进的阈值函数对心电信号去噪后的特征波形保存较好,克服了软、硬阈值函数的缺点,去噪后在平滑性和保真性方面表现良好。与传统肌电干扰去噪算法相比,对轻微噪声和严重噪声去噪后信噪比分别为38.7948和36.7212,均方差分别为0.0013和0.0018,去噪评估结果最好。

    Abstract:

    EMG interference is the noise interference caused by slight muscle vibration in the process of ECG acquisition,so it is necessary to de-noise the acquired ECG signal further.Aiming at the problem of Oscillation and distortion of ECG signal after de-noising by traditional wavelet threshold, an improved wavelet threshold function with two dynamic parameters is proposed,the improved threshold function can be adjusted in whole and in part by the dynamic parameters, so that the noise can be denoised in different degree.In order to verify the de-noising effect of the new threshold function, the signal-to-noise ratio (SNR) , mean square deviation (MSE) and the time-frequency characteristics of ECG were used to evaluate the de-noising effect, the improved threshold function is compared with the traditional EMG denoising algorithm.The results show that the improved threshold function can preserve the characteristic waveform of ECG signal after de-noising, and overcome the shortcomings of soft and hard threshold function.Compared with the traditional EMG interference denoising algorithm, the signal-to-noise ratio of denoising slight noise and serious noise is 38.7948 and 36.7212 respectively, and the mean square deviation is 0.0013 and 0.0018 respectively,the denoising evaluation result is the best.

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杨承金,聂春燕,王慧宇,阮新磊.基于小波改进阈值的肌电干扰降噪研究与效果评估[J].电子测量技术,2021,44(22):80-86

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  • 在线发布日期: 2024-07-04
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