Detecting and Quantifying T Wave Alternans Using Linear Least Squares Curve Fitting Method
Detecting and Quantifying T Wave Alternans Using Linear Least Squares Curve Fitting Method
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DOI：
10.4028/www.scientific.net/amm.239-240.1404
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发表时间：
2012-12
期刊：
影响因子：
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通讯作者：
Xiangkui Wan;Kanghui Yan;Ming Li
中科院分区：
文献类型：
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作者：
Xiangkui Wan;Kanghui Yan;Ming Li
t波差值（TWA）的评估是一种无创的方法来识别心脏性猝死的风险。提出了一种基于线性最小二乘法（LSM）的时域TWA分析新算法。通过与修正移动平均（MMA）方法的比较，验证了LSM对TWA分析的能力。在仿真研究中，LSM和MMA都能以较高的精度检测TWA，但在较低信噪比下，LSM的鲁棒性更强，其评估的TWA值更接近真实TWA值。随后将该算法应用于T-Wave Alternans Challenge数据库的临床心电图分析，结果表明该方法与MMA的相关系数为0.89。
Evaluatement of T-wave alternans (TWA) is a non-invasive method to identify patients at risk for sudden cardiac death. A novel time-domain algorithm based on linear least squares method (LSM) for TWA analysis is developed in this paper. And the LSM’s ability to TWA analaysis in comparison with the modified moving average (MMA) method was demonstrated. In a simulation study LSM and MMA can both detected TWA with high accuracy, but under lower SNR levels LSM was found more robust, and its evaluated TWA values are closer to true TWA value. The algorithm was subsequently used to analyze the clinical ECGs from T-Wave Alternans Challenge Database, which showed that the results from this method vs. MMA had the correlation coefficients of 0.89.