ecg分类:MIT-BIH心律失常数据库上的训练和测试机器学习分类器的代码-源码

上传者: 42138716 | 上传时间: 2021-05-28 18:14:10 | 文件大小: 102KB | 文件类型: ZIP
心电图分类 该代码包含一种基于多个支持向量机(SVM)的自动分类心电图(ECG)方法的实现。 该方法依赖于随后的搏动及其形态之间的时间间隔来进行ECG表征。 使用基于小波,局部二进制模式(LBP),高阶统计量(HOS)和几个幅度值的不同描述符。 有关详细说明,请参见以下文章: : 如果您在出版物中使用此代码,请引用为: @article{MONDEJARGUERRA201941, author = {Mond{\'{e}}jar-Guerra, V and Novo, J and Rouco, J and Penedo, M G and Ortega, M}, doi = {https://doi.org/10.1016/j.bspc.2018.08.007}, issn = {1746-8094}, journal = {Biomedical Signal Processing and Control}, pages = {41--48}, title = {{Heartbeat classification fusing temporal and morphologica

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