| 基于ICA和小波变换的房颤F波提取算法 |
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| 引用本文： | 戴呼合,姜守达.基于ICA和小波变换的房颤F波提取算法[J].仪器仪表学报,2011,32(8). |
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| 作者姓名： | 戴呼合 姜守达 |
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| 作者单位： | 哈尔滨工业大学电气工程及自动化学院 哈尔滨 150080 |
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| 基金项目： | 国家基础科研项目(B2320XX0604)资助 |
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| 摘 要： | 应用独立成分分析(independent component analysis,ICA)提取的房颤F波在QRST数据段有明显“扰动”失真,为减少这种失真,提出了一种ICA与小波变换相结合的F波提取算法.首先对原始信号进行ICA分解,获得初始F波及其分离向量;然后对初始F波进行多层小波分解,在小波域内构造反映F波失真的目标函数;最后利用最速下降法优化目标函数,获得准确的F波分离向量,从而实现对F波的准确提取.对仿真信号和真实信号的F波提取实验表明,该算法明显减少了F波的“扰动”失真.
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| 关 键 词： | 房颤 独立成分分析 小波变换 最速下降法 |
Atrial fibrillation wave extraction algorithm based on ICA and wavelet transform |
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| Dai Huhe,Jiang Shouda.Atrial fibrillation wave extraction algorithm based on ICA and wavelet transform[J].Chinese Journal of Scientific Instrument,2011,32(8). |
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| Authors: | Dai Huhe Jiang Shouda |
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| Affiliation: | Dai Huhe,Jiang Shouda (School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150080,China) |
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| Abstract: | When independent component analysis(ICA) algorithms are used to extract atrial fibrillation(F) wave from electrocardiogram signal(ECGs) of persistent atrial fibrillation,serious distortion exists in F wave QRST segment.To reduce this distortion,a new algorithm based on ICA and wavelet transform is proposed.Firstly,ICA algorithm is applied to get initial F wave and its separation vector.Then wavelet transform is used to decompose initial F wave,and the objective function that reflects F wave distortion is co... |
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| Keywords: | atrial fibrillation independent component analysis(ICA) wavelet transform steepest descent method |
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