Automatic QRS complex detection using two-level convolutional neural network

2018146 citationsJournal Articlegold Open Access

Authors

Zhitao Lin · Zhejiang Province Institute of Architectural Design and Research

Abstract

An automatic QRS detection method using two-level 1-D CNN and simple signal preprocessing technique is proposed for QRS complex detection. Compared with the state-of-the-art QRS complex detection approaches, experimental results show that the proposed method acquires comparable accuracy.

Topics & Keywords

ECG Monitoring and Analysis EEG and Brain-Computer Interfaces Non-Invasive Vital Sign Monitoring

Publication Details

Published in: BioMedical Engineering OnLine

Volume 17, Issue 1, pp. 13-13

DOI: 10.1186/s12938-018-0441-4

Field-Weighted Citation Impact: 13.82

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Automatic QRS complex detection using two-level convolutional neural network

Authors

Abstract

Topics & Keywords

Publication Details