基于决策树诱导(DTI)的心电信号分类分析

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI:10.1145/2979779.2979874

Baljit Kaur, Sanjay Singla

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引用次数: 3

摘要

本文提出了一种基于心电信号的心律失常分类新方法——决策树归纳法。心律失常数据集已经在MATLAB中可用。在本文中，我们试图解决DTI中出现的过拟合问题。为了克服这个问题，我们在一个标准数据集上进行了测试，我们使用我们的方法达到了100%的平均准确率。

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ECG analysis with signal classification using Decision Tree Induction (DTI)

This paper presents a new technique of classifying Arrhythmia based on ECG signal by using Decision Tree Induction as our method. Dataset of Arrhythmia is already available in MATLAB. In this paper, we trying to solve the problem of over fitting that occur in DTI. To overcome this problem, we tested it on a standard dataset and we achieved an average accuracy of 100% using our method.

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Proceedings of the International Conference on Advances in Information Communication Technology & Computing

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