@inproceedings{1cea4bcf64384b5dbb542a45fd1046f0,
title = "A VLSI design of singular value decomposition processor used in real-time ICA computation for multi-channel EEG system",
abstract = "This paper presents a VLSI design of singular value decomposition (SVD) processor used in real-time independent component analysis (ICA) computation for multi-channel electroencephalography (EEG) system. EEG signals are easily influenced by other artifacts. To acquire artifact free EEG signals, ICA is a popular method for artifact removal. Results obtained after the pre-processing of ICA are often used for further applications such as brain computer interfaces (BCIs). In order to improve the feasibility and convenience of BCIs, a real-time ICA pre-processing is required. Because SVD is used frequently in computations of ICA, a SVD processor used for real-time ICA computation is essential. This paper aims to develop a custom SVD for multi-channel EEG systems based on ICA. During the ICA process, the proposed processor aims to solve the inverse and inverse square root matrices in real time. And the processor obtains a highly accurate result since a novel design concept for renewing data flow and parallel data processing are provided in this research. This processor is developed with TSMC 90nm CMOS technology in an 8-channel EEG system. The performance of the proposed SVD is also provided with the processing result of the EEG system.",
author = "Huang, {Kuan Ju} and Shih, {Wei Yeh} and Liao, {Jui Chieh} and Wai-Chi Fang",
year = "2013",
month = sep,
day = "9",
doi = "10.1109/ISCAS.2013.6571868",
language = "English",
isbn = "9781467357609",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
pages = "413--416",
booktitle = "2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013",
note = "null ; Conference date: 19-05-2013 Through 23-05-2013",
}