心电信号单元模式相似性分析对心律失常的分类

Jung-Hyoun Bae, Seung-Ju Lim, Jeong-Ju Kim, Sung-Dae Park, Jeong-Do Kim
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引用次数: 2

摘要

大多数检测PVC和APC的方法要求测量精确的QRS复合体、P波和T波。在本研究中,我们提出了一种新的检测PVC和APC的算法,而不需要使用复杂的参数和算法。所提出的算法对异常波形具有广泛的适用性,可以通过个体区分和差异来识别各种正常的心电波形。为了实现这一目标,我们将心电信号分解成各个单元模式,并仅使用内部具有正常R-R的单元模式来制作标准的单元模式。在此基础上,通过对标准单位图案与各单位图案的相似度分析,对PVC和APC进行检测。
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The Classification of Arrhythmia Using Similarity Analysis Between Unit Patterns at ECG Signal
Most methods for detecting PVC and APC require the measurement of accurate QRS complex, P wave and T wave. In this study, we propose new algorithm for detecting PVC and APC without using complex parameter and algorithms. Proposed algorithm have wide applicability to abnormal waveform by personal distinction and difference as well as all sorts of normal waveform on ECG. To achieve this, we separate ECG signal into each unit patterns and made a standard unit pattern by just using unit patterns which have normal R-R internal. After that, we detect PVC and APC by using similarity analysis for pattern matching between standard unit pattern and each unit patterns.
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