Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS

• Main Authors: Mohd Azam, Siti Nurfarah Ain, Zohra, Fatema-tuz, Sidek, Khairul Azami, Smolen, Magdalena
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Physics Publishing 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/81980/1/81980_Cardioid%20Graph%20Based%20ECG%20Biometric%20in%20Varying.pdf; http://irep.iium.edu.my/81980/2/81980_Cardioid%20Graph%20Based%20ECG%20Biometric%20in%20Varying_SCOPUS.pdf; http://irep.iium.edu.my/81980/; https://iopscience.iop.org/article/10.1088/1742-6596/1502/1/012050
• Institution: Universiti Islam Antarabangsa Malaysia

This paper proposes a robust biometric identification system using compressed electrocardiogram (ECG) signal by varying physiological conditions. The ECG data were obtained by recording a total of 30 healthy subjects where they performed six regular daily activities repeatedly at a sampling frequenc...