基于小波变换和特征选择的心电图识别算法

IF 0.7 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Modeling Identification and Control Pub Date : 2017-01-01 DOI:10.2316/P.2017.848-042

Takayuki Okai, H. Oya, Y. Hoshi, Yoshihiro Ogino, K. Nakano, Yoshihiro Yamaguchi, H. Miyauchi

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引用次数: 3

摘要

为了提高心脏骤停患者的生存率，开发高精度、快速的心电图识别算法具有十分重要的意义。本文提出了一种新的心电识别算法，该算法利用小波变换对心电信号进行分析得到一些特征，并利用特征选择方法评估有用的特征参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Recognition Algorithm for Electrocardiogram Based on Wavelet Transform and Feature Selection

In order to improve survival rate of patients suffering from sudden cardiac arrest, it is very important to develop high accurate and quick recognition algorithm for shockable electrocardiogram (ECG). In this paper, we propose a new ECG recognition algorithm based on some features which are derived by analyzing ECG signals via wavelet transform, and evaluate useful feature parameters by a feature selection approach.

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来源期刊

Modeling Identification and Control 工程技术-计算机：控制论

CiteScore

3.30

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries.