使用传统和整体机器学习算法进行基于RR间隔的心房动检测

S K Shrikanth Rao1, Roshan Joy Martis2

  • 1Department of Electronics and Communication Engineering, Vivekananda College of Engineering and Technology, Puttur, Karnataka, India.

概括

早期发现心房动 (AF) 是至关重要的. 这项研究发现,集体机器学习,特别是随机森林分类器,在从心电图数据中检测AF时达到99.10%的准确性.

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