基于提升小波的心电信号P、T波检测快速算法

ECG P,T wave complex detection algorithm based on lifting wavelet

为解决心电信号中P、T波信号复杂、微弱、识别难度大及识别算法执行效率低且易失效的问题,在分析提升小波算法原理的基础上,利用提升小波对信号进行时-频域分析执行速度快的特性,提出了将提升小波变换与差分运算相结合,构造利用提升小波对心电信号去噪,在重构相应层次的低频信号中利用差分法对P、T波进行识别的复合算法,并提出了一种适应心电信号个体差异和异常心电信号变化的跟随阈值函数。结果表明,提出算法比传统小波识别方法准确率高,且算法执行的速度至少提高一倍,更适合于硬件实现。

In order to solve the problem that the ECG P,T-wave signal is complex,weak,difficult to identify as well as the problem of low efficiency and invalidity of the implementation of the identification algorithm,a combined algorithm was proposed using the fast speed characteristic of lifting wavelet analysis signal in time-domain and frequency domain based on the analysis to the principle of lifting wavelet algorithm.It combined the lifting wavelet transform with different OP,utilized the lifting wavelet to denoise,and indentified the P,T wave using composite algorithm in the reconstructed corresponding level low-frequency signal.A follower threshold function adapting to individual differences and abnormal ECG changes was proposed.Finally,the results of MIT-BIH ECG database experiments show that the proposed algorithm has high accuracy than traditional wavelet recognition method,at least doubling algorithm execution speed,and easier for hardware implementation.