长期动态心电图记录的QRS检测算法

G. Georgieva-Tsaneva
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引用次数: 13

摘要

本文提出了一种基于小波变换的动态心电图信号精确QRS检测算法。对正交小波函数Haar和Daubechies进行了研究和比较。使用Visual c++软件进行分析。结果表明,即使信号被噪声污染,该算法也能提供良好的QRS检测效果。该算法的计算量较小。这使得它非常适合广泛的诊断应用,特别是实时动态心电图监测。
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QRS detection algorithm for long term Holter records
In this paper an exact QRS detection algorithm of Holter electrocardiogram signals using Wavelet Transform is present. The orthogonal wavelet functions -- Haar and Daubechies -- is studied and compared. Analysis is carried out using Visual C++ Software. The results show that the described algorithm provides excellent QRS detection even if the signals are contaminated with noises. The presented algorithm is less computationally involved. This makes it ideal for wide range of diagnostic applications, especially for real-time Holter monitoring.
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