摘要
针对动态心电图中非稳态、非线性和非高斯T波交替检测(T-wave alternans,TWA)的稳健检测问题,本文首先提出了一个TWA的非线性、拉普拉斯噪声的状态空间模型,然后采用粒子滤波方法对动态心电信号中的T波交替幅值进行估计,实现了心电信号中T波交替的定性和定量分析.仿真结果表明,在加入高斯噪声和非高斯噪声情况下,与经典的SM和MMA方法进行对比,本文提出的算法准确度和稳健性表现最好,并且本文算法能准确地实时地跟踪非稳态的TWA现象.
Many T-wave alternans （TWA ） detecting algorithms have been proposed in the past ,but most of them cannot provide an accurate and robust result ,especially for non-stationary ,non-linear and non-gaussian TWA in dynamic ECG .In this pa-per ,a non-linear state space model with Laplace noise is proposed first ,then particle filters is applied to estimate and analyze the T-wave alternans （TWA ） amplitude in dynamic ECG .Simulated ECG signal with different TWA amplitudes and twadb database with clinical ECG records are evaluated by our proposed method .From the simulation results ,our proposed algorithm is demonstrated the most accurate and robust for TWA detection when adding gaussian noise and non-gaussian noise ,comparing to conventional spectral method （SM ） and modified moving average （MMA ） method .Besides ,non-stationary TWA can be tracked accuratly in real-time by the proposed method .
出处
《电子学报》
EI
CAS
CSCD
北大核心
2014年第2期223-229,共7页
Acta Electronica Sinica
基金
辽宁省自然科学基金(No.20102057)
中央高校基本科研业务费(No.N11044003)
关键词
心电信号
T波交替
粒子滤波
拉普拉斯噪声
eleclrocardiogram （ ECG ）
T- wave alternans （ TWA ）
particle filter
laplacian noise
