@inproceedings{d0d0789091c94e94822cee28859f20b7,
title = "Experimental study on the effects of watermarking techniques on EEG-based application system performance",
abstract = "Watermarking has been suggested as a means to improve security of e-Health systems or to add additional functionalities to such system. All watermarking methods alter the host signal to some extent, though the acceptability of this modification varies with the watermarking scheme and depends on a particular application. However, the effect of watermarking methods on Electroencephalogram (EEG)-based applications has not been investigated. In this paper, we propose a robust EEG watermarking scheme and experimentally investigate the impact of applying the proposed method on the recognition performance of some EEG-based application systems such as emotion recognition and user authentication. We have found that the proposed EEG watermarking scheme results in a small degradation of performance.",
keywords = "Discrete wavelet transform (DWT), EEG, Quantization index module (QIM), SVD (Sigular value decomposition), User authentication, Watermarking",
author = "Pham, {Trung Duy} and Dat Tran and Wanli Ma",
year = "2017",
month = oct,
day = "26",
doi = "10.1007/978-3-319-70136-3_70",
language = "English",
isbn = "9783319701356",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "662--671",
booktitle = "Neural Information Processing - Proceedings of the 24th International Conference (ICONIP 2017)",
address = "Netherlands",
note = "24th International Conference on Neural Information Processing, ICONIP 2017 ; Conference date: 14-11-2017 Through 18-11-2017",
}