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http://dx.doi.org/10.30693/SMJ.2019.8.3.62

Personal Recognition Method using Coupling Image of ECG Signal  

Kim, Jin Su (조선대학교 제어계측공학과)
Kim, Sung Huck (빛가람정보)
Pan, Sung Bum (조선대학교 전자공학과)
Publication Information
Smart Media Journal / v.8, no.3, 2019 , pp. 62-69 More about this Journal
Abstract
Electrocardiogram (ECG) signals cannot be counterfeited and can easily acquire signals from both wrists. In this paper, we propose a method of generating a coupling image using direction information of ECG signals as well as its usage in a personal recognition method. The proposed coupling image is generated by using forward ECG signal and rotated inverse ECG signal based on R-peak, and the generated coupling image shows a unique pattern and brightness. In addition, R-peak data is increased through the ECG signal calculation of the same beat, and it is thus possible to improve the recognition performance of the individual. The generated coupling image extracts characteristics of pattern and brightness by using the proposed convolutional neural network and reduces data size by using multiple pooling layers to improve network speed. The experiment uses public ECG data of 47 people and conducts comparative experiments using five networks with top 5 performance data among the public and the proposed networks. Experimental results show that the recognition performance of the proposed network is the highest with 99.28%, confirming potential of the personal recognition.
Keywords
Personal Recognition; Electrocardiogram; Coupling Image; Convolutional Neural Network;
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Times Cited By KSCI : 4  (Citation Analysis)
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