@inproceedings{1d8274fbba1643149ad8bbc07c2704a2,
title = "Reference signal impact on EEG energy",
abstract = "A reference is required to record electroencephalography (EEG) signals, and therefore the reference signal can effect any quantitative EEG analysis. In this study, we investigate the impact of reference signal amplitude on a commonly used quantitative measure of the EEG, the signal energy. We show that: (i) when the reference signal and the non-referential signal have negative correlation, the energy of the referential signal will monotonically increase as the amplitude of the reference signal increases from 0 to ∞. (ii) When the reference signal and the non-referential signal have positive correlation, energy of the referential signal first decreases to some nonnegative value and then increases as the amplitude of the reference signal increases from 0 to ∞. In general, the reference signal may decrease or increase energy values. But a reference signal with higher relative amplitude will surely increase energy values. In [1], we developed a method to identify and extract the reference signal contribution to EEG recordings. Here we apply this approach to referential EEG recorded from human subjects and directly investigate the contribution of recording reference on energy and show that the reference signal may have a significant effect on energy values.",
keywords = "Bipolar EEG, Corrected EEG, Energy, Referential EEG, Scalp reference signal",
author = "Sanqing Hu and Matt Stead and Hualou Liang and Worrell, \{Gregory A.\}",
year = "2009",
month = may,
day = "8",
doi = "10.1007/978-3-642-01513-7\_66",
language = "English",
isbn = "9783642015120",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
number = "PART 3",
pages = "605--611",
editor = "Wen Yu and Haibo He and Nian Zhang",
booktitle = "Advances in Neural Networks - ISNN 2009",
address = "Germany",
note = "6th International Symposium on Neural Networks, ISNN 2009 ; Conference date: 26-05-2009 Through 29-05-2009",
}