A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy

no code implementations • 2 Jun 2023 • Zhuo He, Hongjin Si, Xinwei Zhang, Qing-Hui Chen, Jiangang Zou, Weihua Zhou

The model was fine-tuned to extract relevant features from the ECG images, and then tested on our dataset of CRT patients to predict their response.

Specificity Transfer Learning

A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network

no code implementations • 20 Jun 2020 • Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Jinshan Tang, Qing-Hui Chen, Shaojie Tang, Weihua Zhou

This paper presents an end-to-end ECG signal classification method based on a novel segmentation strategy via 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals.

Classification General Classification