Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
This paper presents a Multilayer Perception Neural Network developed to identify human subjects using electrocardiogram (ECG) signals. We use the amplitude values of Q, R and S as a features for our experiments. In this study, a total of 87 dataset were collected among 14 subjects from the Physik...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer International Publishing
2016
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf |