@inproceedings{eaa350c64b9c4dcba1a45f46741d7721,
title = "Investigating the impacts of epilepsy on EEG-based person identification systems",
abstract = "Person identification using electroencephalogram (EEG) as biometric has been widely used since it is capable of achieving high identification rate. Epilepsy is one of the brain disorders that involves in the EEG signal and hence it may have impact on EEG-based person identification systems. However, this issue has not been investigated. In this paper, we perform person identification on two groups of subjects, normal and epileptic to investigate the impact of epilepsy on the identification rate. Autoregressive model (AR) and Approximate entropy (ApEn) are employed to extract features from these two groups. Experimental results show that epilepsy actually have impacts depending on feature extraction method used in the system.",
keywords = "EEG-Person-Authentication, Brain-computer-interfaces",
author = "Dinh Phung and Dat TRAN and Wanli MA and Phuoc Nguyen and Tien Pham",
year = "2014",
month = jul,
day = "6",
doi = "10.1109/IJCNN.2014.6889567",
language = "English",
isbn = "9781479966271",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "3644--3648",
editor = "Derong Liu and Jennie Si",
booktitle = "2014 International Joint Conference on Neural Networks (IJCNN)",
address = "United States",
note = "IEEE World Congress on Computational Intelligence 2014 ; Conference date: 06-07-2014 Through 11-07-2014",
}