| 提升小波和平滑滤波在心电信号快速滤波中的研究 |
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| 引用本文： | 李雪飞,毛玉星,何为,杨帆,周亮. 提升小波和平滑滤波在心电信号快速滤波中的研究[J]. 生物医学工程学杂志, 2008, 25(1): 191-195 |
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| 作者姓名： | 李雪飞 毛玉星 何为 杨帆 周亮 |
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| 作者单位： | 重庆大学,高电压与电工理论新技术教育部重点实验室,重庆,400044 |
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| 摘 要： | 利用提升小波将原始心电信号(ECG)按频率特性分解为低频的逼近信号和高频的细节信号,舍弃前几层细节信号,采用自适应平滑滤波器选择合适的阈值对逼近信号进行滤波,从而避免平滑滤波对QRS波的损伤,再用提升小波逆变换重建保留的逼近信号,进而实现对心电信号中三种主要噪声的抑制.实验表明该方法计算量小,实时性强.
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| 关 键 词： | 提升小波 平滑滤波 逼近信号 细节信号 提升小波 平滑滤波器 心电信号 快速滤波 研究 Filter Smooth Lifting Wavelet ECG Signals Fast 实时性 计算量 方法 实验 噪声 重建 小波逆变换 损伤 阈值 选择 |
| 文章编号： | 1001-5515（2008）01-0191-05 |
| 收稿时间： | 2005-10-19 |
| 修稿时间： | 2006-02-17 |
Investigation of Fast Filter of ECG Signals with Lifting Wavelet and Smooth Filter |
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| Li Xuefei,Mao Yuxing,He Wei,Yang Fan,Zhou Liang. Investigation of Fast Filter of ECG Signals with Lifting Wavelet and Smooth Filter[J]. Journal of biomedical engineering, 2008, 25(1): 191-195 |
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| Authors: | Li Xuefei Mao Yuxing He Wei Yang Fan Zhou Liang |
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| Affiliation: | Chongqing University, Key Laboratory of High Voltage and Electrical Theory New Technology, Education Ministry of China, Chongqing 400044, China. cqulixuefei@126.com |
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| Abstract: | The lifting wavelet is used to decompose the original ECG signals and separate them into the approach signals with low frequency and the detail signals with high frequency, based on frequency characteristic. Parts of the detail signals are ignored according to the frequency characteristic. To avoid the distortion of QRS Complexes, the approach signals are filtered by an adaptive smooth filter with a proper threshold value. Through the inverse transform of the lifting wavelet, the reserved approach signals are reconstructed, and the three primary kinds of noise are limited effectively. In addition, the method is fast and there is no time delay between input and output. |
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| Keywords: | Lifting wavelet Smooth filter Approach signal Detail signal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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