Premature ventricular contraction detection combining deep neural networks and rules inference

作者：

Highlights：

• We proposed a new approach combining deep neural networks and rules inference for PVC detection.

• We combined LCNN and LSTM for PVC detection.

• We used rules inference for detecting the recordings or beats that were classified into non-PVC class and PVC class by the method with the LCNN and LSTM.

• The results obtained by our method represented a performance improvement with respect to some published methods.

摘要

•We proposed a new approach combining deep neural networks and rules inference for PVC detection.•We combined LCNN and LSTM for PVC detection.•We used rules inference for detecting the recordings or beats that were classified into non-PVC class and PVC class by the method with the LCNN and LSTM.•The results obtained by our method represented a performance improvement with respect to some published methods.

论文关键词：Detection,Premature ventricular contraction (PVC),Deep neural networks,Rules inference

论文评审过程：Received 19 December 2016, Revised 3 June 2017, Accepted 7 June 2017, Available online 9 June 2017, Version of Record 12 August 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.06.004