心电图获取分类:使用深度学习的单导联心电图信号获取和心律不齐分类-源码

上传者: 42140846 | 上传时间: 2021-09-08 20:52:14 | 文件大小: 1.01MB | 文件类型: ZIP
使用深度卷积网络的单导ECG信号采集和分类 使用深度学习的单导联心电信号采集和心律不齐分类 团队成员: , , 该项目包含两个部分, 心电信号捕获 心律失常分类所获得的心电图信号。 档案 :此文件夹包含用于训练和测试深度学习算法的所有文件,并且此代码将用于对所采集的信号进行分类。 此文件夹中的代码是由Awni等人的出色团队StanfordML Group开发的。 我刚刚对其进行了修改,以与python3配合使用,并做了其他一些改动,以方便使用。 :用于四阶陷波滤波器的Aurdino代码,在计算机中显示ECG信号,计算瞬时BPM等。 (尚未测试):通过从串行监测器读取内容自动将获取的ECG信号创建文件,并将其转换为所需格式并进行分类的代码。 :Json文件,指定获取信号的已保存.mat文件的路径。 请根据您当前的工作目录更改此Json文件中的.mat文件的路径以进行测试 依存关系 关于ECG信号捕获:滤波器,放大器,其电路及其值 心电图(ECG)是使用放置在皮肤上的电极记录的心脏电活动的曲线图(电压与时间的关系图)。 这些电极检测到微小的电变化,这些电变化是在每个

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