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一种基于最优区间函数拟合的P波识别方法 被引量:1

On Recognizing the ECG P-wave Based on Approximating Functions in the Optimum Region
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摘要 针对不同心电图中P波位置、形状差异较大且易受干扰影响而难以准确识别的问题,我们提出了一种基于最优区间函数拟合的P波识别方法,该方法首先在局部范围内变化函数拟合区间,然后在每个区间内用二次函数对P波按最小二乘法原理逼近,通过对比拟合误差,找出P波的最优拟合区间,最后利用在最优拟合区间上的拟合求出P波的各特征点。经MIT-BIH心电数据库的心电数据验证,该方法是准确有效的。 Aiming at the problem that it is difficult to accurately recognize the position and the figure of P wave in the ECGs easily influenced by the diversified interference,a P wave detection algorithm based on approximating functions in the optimum region is proposed in this paper. In the algorithm we use a conic to approach the P wave by means of the least square method in every region,which is shifted in local range.Then we find the optimum approach region of P wave by comparing the approximating error. Finall...
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2008年第3期506-509,共4页 Journal of Biomedical Engineering
关键词 P波 函数拟合法 最优区间 最小二乘法 P wave Approximating functions The optimum region Least square method
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  • 1[3]Hee-Kyo Joeng,Kwang-Keun Kim,Sun-Chul Hwang,et al.A new algorithm for P-wave detection in the ECG signal.Engineering in Medicine and Biology Society,1989,Images of Twenty-First Century,Proceedings of the Annual International Conference of the IEEE Engineering in 9-12 Nov.1989;2:42
  • 2[5]Li-Gao Zhou,Hui-Jun Li,Guang-Shu Hu.Real-time base-line drift correction and P-wave detection of ECG signal,Engineering in Medicine and Biology Society,1989,Images of the Twenty-First Century,Proceedings of the Annual International Conference of the IEEE Engineering in 9-12 Nov,1989;49
  • 3[7]Domider T,Tkacz EJ,Kostka P,et al.A new approach to the P-wave detection and classification based upon application of wavelet neural network.Engineering in Medicine and Biology Society,2001.Proceedings of the 23rd Annual International Conference of the IEEE,Volume 2,25-28 Oct,2001;2:1758

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