@Article{2018.100000055,
AUTHOR = {Gyu Ho Choi, Jae Hyo Jung, Hae Min Moon, Youn Tae Kim, Sung Bum Pan},
TITLE = {User Authentication System Based on Baseline‐corrected ECG for  Biometrics},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {1},
PAGES = {193--204},
URL = {http://www.techscience.com/iasc/v25n1/39646},
ISSN = {2326-005X},
ABSTRACT = {Recently, ECG-based user authentication technology, which is strong against 
forgery and falsification, has been actively studied compared to fingerprint and 
face authentication. It is impossible to measure the open ECG DB measured 
with expensive medical equipment in daily living, and the ECG measured with 
the developed device for easy ECG measurement has much noise. In this 
paper, we developed a device that easily measures the ECG for user 
authentication in everyday life, measured the ECG through the development 
equipment, adjusted the baseline correction of the measured ECG, extracted it 
from the adjusted ECG do. The proposed system includes the steps of 
obtaining ECGs, pre-processing ECG signals, segmenting the signals and 
extracting features thereof to evaluate user authentication performance. The 
ECG lead-Ⅰ was obtained from 100 subjects for 120 seconds while they were 
comfortably positioned. Although the maximum user authentication 
performance of the existing algorithm was EER of 1.82%, it was observed the 
maximum performance of the proposed user authentication system was 0.71% 
higher than the existing algorithm.},
DOI = {10.31209/2018.100000055}
}