基于模式识别和集成CNN-LSTM的阵发性房颤预测模型

杨萍,王丹,康子健,李童,付利华,余悦任

Prediction model of paroxysmal atrial fibrillation based on pattern recognition and ensemble CNN-LSTM

Ping YANG,Dan WANG,Zi-jian KAGN,Tong LI,Li-hua FU,Yue-ren YU

表 3 所提方法与基线模型的实验性能对比

Tab.3 Comparison between prediction results of proposed method and baseline models

模型 ACC/% SEN/% SPE/% 1D-CNN 53 68 53 LSTM 66 0 100 1D-CNN-LSTM 61 72 56 本研究方法 91 82 96