DENS-ECG: A deep learning approach for ECG signal delineation

作者：

Highlights：

• We proposed a deep learning model for electrocardiogram signals delineation.

• An end-to-end model using CNN and LSTM were designed to extract high level features.

• The model was trained and validated on two different publicly available databases.

• DENS-ECG model shows a high performance in electrocardiogram signals delineation.

摘要

•We proposed a deep learning model for electrocardiogram signals delineation.•An end-to-end model using CNN and LSTM were designed to extract high level features.•The model was trained and validated on two different publicly available databases.•DENS-ECG model shows a high performance in electrocardiogram signals delineation.

论文关键词：Convolutional neural network (CNN),Deep learning,Electrocardiogram (ECG),Long short-term memory (LSTM),Signal delineation

论文评审过程：Received 15 March 2020, Revised 29 July 2020, Accepted 20 August 2020, Available online 10 September 2020, Version of Record 15 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113911