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Research on Feature Extraction of Human ECG Identification
Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
ECG, a kind of identity information in human identification, can be easily affected by detector's movement and the change of mood. Traditional ECG feature extraction methods require a lot of calculation which increases the computation time in the process of identification. In this paper, we mainly discuss how to seize the main, easy to extract and stable ECG feature, to complete the identification successfully and quickly. And we propose a method of feature extraction that as for intervals, wedoi:10.2991/jimec-16.2016.90 fatcat:qgk5ubsla5eorkuwmva6hzom3m