Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS
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...
| Main Authors: | Mohd Azam, Siti Nurfarah Ain, Zohra, Fatema-tuz, Sidek, Khairul Azami, Smolen, Magdalena |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Physics Publishing
2020
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/81980/ 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 |
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