| 基于改进阈值函数的小波去噪算法研究 |
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| 引用本文： | 葛佳悦,唐春晖.基于改进阈值函数的小波去噪算法研究[J].教育技术导刊,2020,19(6):61-65. |
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| 作者姓名： | 葛佳悦 唐春晖 |
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| 作者单位： | 上海理工大学 光电信息与计算机工程学院，上海 200093 |
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| 基金项目： | 国家自然科学基金项目（61374197） |
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| 摘 要： | 为更好地消除心电信号（ECG）处理过程中存在的基线漂移、工频干扰和肌电干扰等噪声，提出一种基于改进小波阈值的去噪算法。该算法选定 coi5 作为小波基进行分解，选取分解尺度为 8 层，使用改进的阈值选取方法对每一层信号系数进行去噪。该阈值函数不仅克服了硬阈值函数不连续的缺点，而且解决了软阈值函数存在的恒定偏差，同时具有良好的自适应性。实验结果表明，该方法与传统阈值法相比，信噪比提高了24.26%，均方误差降低了 21.42%；与当前国际上先进的去噪算法相比，信噪比提高了 2.01%，均方误差降低了6.9%，去噪效果显著提升，验证了该算法的有效性。
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| 关 键 词： | 心电信号 小波变换 阈值 去噪算法 信噪比 |
| 收稿时间： | 2019-11-30 |
Research on Wavelet Denoising Algorithm Based on Improved Threshold Function |
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| GE Jia-yue,TANG Chun-hui.Research on Wavelet Denoising Algorithm Based on Improved Threshold Function[J].Introduction of Educational Technology,2020,19(6):61-65. |
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| Authors: | GE Jia-yue TANG Chun-hui |
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| Institution: | School of Optical and Computer Engineering，University of Shanghai for Science and Technology，Shanghai 200093，China |
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| Abstract: | In order to eliminate the noise such as baseline drift，power frequency interference and EMG interference in ECG，a denoising method based on improved wavelet threshold is proposed in this study. The algorithm selects coi5 as the wavelet basis for decomposition，selects 8 layers of decomposition scale，and uses the improved threshold selection method to denoise the signal coefficients of each layer. The threshold function not only overcomes the shortcomings of the discontinuity of the hard threshold function，but also solves the constant deviation of the soft threshold function，and has good adaptability. Experimental results show that compared with the traditional threshold method，SNR is improved by 24.26% and MSE is reduced by 21.42%. Compared with the current international advanced denoising algorithms，SNR is increased by 2.01%，MSE is reduced by 6.9%. The denoising effect is significantly improved，which verifies the effectiveness of the proposed algorithm. |
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| Keywords: | ECG signal wavelet transform threshold denoising algorithm signal-noise ratio |
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