id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_srqjbxaffzfbdcxe4yczy7eafi	Tao Wang	A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss	2020	17	.pdf	application/pdf	7956	1033	59	hybrid method for heartbeat classification via convolutional neural networks, Keywords Arrhythmia, Heartbeat classification, Focal loss, Convolutional neural network, A hybrid method for heartbeat classification via convolutional neural The article presents a hybrid method for heartbeat classification via CNN, multilayer 2001), our method achieves superior classification performance than existing heartbeat especially CNN-based, heartbeat classification methods have received a lot of attention. CNN and focal loss propose an ECG heartbeat classification method. (true negative) is the number of heartbeats that are not in the ith class and not classified Table 4 Performance comparison of our proposed method with existing works in SVEB and VEB classes. A hybrid method for heartbeat classification via CNN, MLP and focal loss is developed https://github.com/JackAndCole/Deep-Neural-Network-For-Heartbeat-Classification https://github.com/JackAndCole/Deep-Neural-Network-For-Heartbeat-Classification https://github.com/JackAndCole/Deep-Neural-Network-For-Heartbeat-Classification https://github.com/JackAndCole/Deep-Neural-Network-For-Heartbeat-Classification A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss	./cache/work_srqjbxaffzfbdcxe4yczy7eafi.pdf	./txt/work_srqjbxaffzfbdcxe4yczy7eafi.txt