TY - GEN
T1 - A novel human identification model based on multi-objective optimization of electrocardiogram
AU - Chen, Qiming
AU - Guo, Shuli
AU - Zhang, Yitong
AU - Han, Lina
N1 - Publisher Copyright:
© 2019 IEEE
PY - 2019/6
Y1 - 2019/6
N2 - This paper presents a novel human identification method which is based on multi-objective optimization and dynamic time wrapping of Electrocardiogram (ECG). A modified preprocessing method is proposed to suppress baseline wander and high frequency noises of real ECG. Then we establish dynamic time wrapping (DTW) between reference ECG and others. Finally, the multi-objective optimization model of human identification is developed based on the above results and Pareto entropy particle swarm optimization is used to solve the problem. Compared with RBF neural network (58.82%), and multitask learning approach (64.70%), our proposed method could achieve an accuracy of 82.35% after running for 10min in speed of 10km/h. The proposed model will make human identification based on ECG more widely applied in everyday life.
AB - This paper presents a novel human identification method which is based on multi-objective optimization and dynamic time wrapping of Electrocardiogram (ECG). A modified preprocessing method is proposed to suppress baseline wander and high frequency noises of real ECG. Then we establish dynamic time wrapping (DTW) between reference ECG and others. Finally, the multi-objective optimization model of human identification is developed based on the above results and Pareto entropy particle swarm optimization is used to solve the problem. Compared with RBF neural network (58.82%), and multitask learning approach (64.70%), our proposed method could achieve an accuracy of 82.35% after running for 10min in speed of 10km/h. The proposed model will make human identification based on ECG more widely applied in everyday life.
KW - Dynamic time wrapping
KW - ECG
KW - Human Identification
KW - Multi-objective optimization
KW - Preprocessing method
UR - http://www.scopus.com/inward/record.url?scp=85071383147&partnerID=8YFLogxK
U2 - 10.1109/YAC.2019.8787591
DO - 10.1109/YAC.2019.8787591
M3 - Conference contribution
AN - SCOPUS:85071383147
T3 - Proceedings - 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2019
SP - 149
EP - 154
BT - Proceedings - 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2019
Y2 - 6 June 2019 through 8 June 2019
ER -