2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR),
2018-August
Conference Proceeding
In this paper we presented a method for human being identification based on ECG supported by Artificial Neural Networks. We also propose structure of such identification system with description of its functional elements. To provide an insight into efficiency of the proposed methodology we compare it to alternative approaches based on Logistic Regression and K-Nearest Neighbour. All experiments were performed on several representative data (existing ECG records of real patients).
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