A hasty approach to ECG person identification
Using electrocardiogram (ECG) to extract identity, mood and behavioral information of individuals is a hot topic in biometric for the last 15 years. In an ECG signal, the region identified as the QRS complex is primarily used for classification of individuals. In this paper, we study an accepted...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2016
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/8/54603_A%20hasty%20approach%20to%20ECG%20person%20identification_scopus.pdf http://irep.iium.edu.my/54603/13/54603_A%20hasty%20approach%20to%20ECG%20person%20identification.pdf |
| Summary: | Using electrocardiogram (ECG) to extract identity,
mood and behavioral information of individuals is a hot
topic in biometric for the last 15 years. In an ECG signal,
the region identified as the QRS complex is primarily used for
classification of individuals. In this paper, we study an accepted
method for identification where feature points are extracted
from selecting random points within the QRS region and using
the multilayer perceptron (MLP) method for classification. In
our experiments, feature points are varied and processing time
are measured to study the speed in processing feature points
for identification. Our results shows accuracy performance cost
and gains and the performance with respect to the number
of feature points. Additionally, a different method in using 3-
point of QRS complex that can provide best accuracy and time
performance is presented. Our method though compromises
accuracy proves to give faster results and may be usable for
future applications in IoT. |
|---|