【论文阅读笔记】Proposing feature engineering method based on deep learning and K-NNs for ECG beat classific
论文阅读:ProposingfeatureengineeringmethodbasedondeeplearningandK-NNsforECGbeatclassificationandarrhythmiadetection一、摘要文章提出了一种基于深度学习和K-NN的特征工程方法,对心律失常进行心电图搏动分类(考虑了四个搏动类别),使用五重交叉验证策略实现了99.77%的平均准确度,99.99%的