Human identification using information theory-based indices of ECG characteristic points

作者：

Highlights：

• An ECG-based human authentication system has been developed.

• A novel feature extraction methodology has been presented based on information theory.

• An innovative procedure is proposed for selecting the appropriate features using information gain ratio.

• The accuracy of the proposed methodology is better and comparable with previously reported systems.

摘要

•An ECG-based human authentication system has been developed.•A novel feature extraction methodology has been presented based on information theory.•An innovative procedure is proposed for selecting the appropriate features using information gain ratio.•The accuracy of the proposed methodology is better and comparable with previously reported systems.

论文关键词：Human identification,Electrocardiogram,Information theory,Information gain ratio,Characteristic points

论文评审过程：Received 6 May 2018, Revised 12 February 2019, Accepted 28 February 2019, Available online 1 March 2019, Version of Record 7 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.038