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使用python编写心电相关的算法，包括滤波，R波识别，心率计算，特征提取，心率失常分类，房颤，室颤/室速，伪差干扰研究等相关算法，以及较好的可视化功能，和一些测试工程

License: MIT License

Python 98.11% Jupyter Notebook 1.89%

ecg-algorithm's Introduction

1 ecg-algorithm

使用python编写心电相关的算法，包括滤波，R波识别，心率计算，特征提取，心率失常分类，房颤，伪差干扰研究等相关算法，以及较好的可视化功能，和一些测试工程

2 已经实现的程序

2.1 数据读取

2.1.1 Format212 数据格式读取

  • 以MIT-BIH心电数据库中100.dat为例
    img.png
    img.png

2.1.2 Format16 数据格式读取

  • PAF数据库n01为例
    img.png
    img_1.png

2.2 Pan-Tompkins算法

2.2.1 简介

Pan-Tompkins算法最早在1985年发表，它是一种高效实用的QRS波检测算法，至今仍然被许多心电监护仪、 Holter和一些穿戴式设备所实用或者借鉴算法思路进行优化。

2.2.2 代码使用

  • 路径：ecg/basic_alg/pan_tompin.py
  • 直接运行代码即可
  • 输出图片
    img_1.png

2.3 相位重构算法

2.3.1 简介

通过非线性动力学进行的相位重构算法，应用在ECG的R波识别上，具有较高的准确率，并对干扰环境中 也保持良好的性能。

2.3.2 代码使用

  • 路径：ecg/base_alg/delay_coordinate_mapping.py
  • 直接运行代码即可
  • 图片，一些图片需要打开注释才可以 img_1.png img7.png

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