College - Author 1
College of Engineering
Department - Author 1
Electrical Engineering Department
Degree Name - Author 1
BS in Electrical Engineering
College - Author 2
College of Engineering
Department - Author 2
Electrical Engineering Department
Degree - Author 2
BS in Electrical Engineering
Date
6-2020
Primary Advisor
Xiao-Huang Yu, College of Engineering, Electrical Engineering Department
Abstract/Summary
Electrocardiography (ECG) is being used a lot more in biometrics for applications where protection of privacy is important. Other methods like facial recognition can be falsified by using different colored contacts to manipulate identification. For this reason, ECG is a viable option for biometric identification since it relies solely on the heartbeat to classify characteristics of an individual. The Pan-Tompkins method was used for feature extraction, and both ELM and correlation were used for classification. ELM through MATLAB achieved an average accuracy of 85%. Correlation achieved an average accuracy of 89.2%.
URL: https://digitalcommons.calpoly.edu/eesp/508