心房晚电位的联合检测方法

2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO) Pub Date : 2013-07-08 DOI:10.1109/ELNANO.2013.6552080

N. Matveyeva, N. Ivanushkina, K. Ivanko

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引用次数: 3

摘要

这项工作致力于改进无创识别心电图(ECG)低振幅成分-心房晚电位(ALP)的方法，这是潜在危险心律失常的标志。提出了一种基于小波分析、特征向量分解和神经网络分类的ALP检测方法。数值实验结果表明，ALP特征向量的维数被最小化，使得区分“正常-无ALP”和“病理-存在ALP”两类具有最小的分类误差。

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Combined method for detection of atrial late potentials

The work is devoted to improvement of methods for noninvasive identification of low-amplitude components of electrocardiogram (ECG) - atrial late potentials (ALP) which are markers of potentially dangerous heart rhythm disorders. A combined method for ALP detection based on wavelet analysis, decomposition in the basis of eigenvectors and classification by neural network is proposed. As the result of the numerical experiment the dimension of ALP feature vector was minimized that made it possible to distinguish between 2 classes "norm - no ALP" and "pathology - ALP are present" with minimum error classification.

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2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO)

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