@inproceedings{6713a41b9dd3480aa623b07749880ce7,
title = "Window function for EEG power density estimation and its application in SSVEP based BCIs",
abstract = "A high quality power density estimation for certain frequency components in a short time is of key importance in Steady-State Visual Evoked Potentials (SSVEP) based Brain Computer Interface (BCI). In this paper, the effect of the window functions in SSVEP based BCIs is discussed. EEG signal is a typical color noise with a high energy of the low frequency component. The main findings are that (1) The spectral leakage for EEG signals has some regular patterns. An obvious oscillation with the corresponding frequency can be observed. The amplitude of the oscillation decreases with the growth of the frequency. A short analysis is also given for the leakage. (2) The leakage from the low frequency component can be effectively suppressed by the using of some windows, such as Hamming, Hann and triangle window; (3) By removing the influence of the leakage from the low frequency component with high pass filter, the classification results are mainly determined by the width of the main lobe. The rectangle window would have a better accuracy than Hamming, Hann and triangle window. Some windows constructed with a narrower main lobe width have a potential use in SSVEP based BCIs.",
keywords = "EEG, Lowpass Filter, SSVEP, STFT",
author = "Gan Huang and Jianjun Meng and Dingguo Zhang and Xiangyang Zhu",
year = "2011",
doi = "10.1007/978-3-642-25489-5_14",
language = "English (US)",
isbn = "9783642254888",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "135--144",
booktitle = "Intelligent Robotics and Applications - 4th International Conference, ICIRA 2011, Proceedings",
edition = "PART 2",
note = "4th International Conference on Intelligent Robotics and Applications, ICIRA 2011 ; Conference date: 06-12-2011 Through 08-12-2011",
}