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REAL-TIME MULTI-CHANNEL EEG SIGNAL PROCESSOR BASED ON ON-LINE RECURSIVE INDEPENDENT COMPONENT ANALYSIS
专利权人:
发明人:
Wai-Chi FANG,Wei-Yeh SHIH,Jui-Chieh LIAO,Kuan-Ju HUANG,Chiu-Kuo CHEN,Gert CAUWENBERGHS,Tzyy-Ping JUNG
申请号:
US14093330
公开号:
US20140350864A1
申请日:
2013.11.29
申请国别(地区):
US
年份:
2014
代理人:
摘要:
A real-time multi-channel EEG signal processor based on an on-line recursive independent component analysis is provided. A whitening unit generates covariance matrix by computing covariance according to a received sampling signal. A covariance matrix generates a whitening matrix by a computation of an inverse square root matrix calculation unit. An ORICA calculation unit computes the sampling signal and the whitening matrix to obtain a post-whitening sampling signal. The post-whitening sampling signal and an unmixing matrix implement an independent component analysis computation to obtain an independent component data. An ORICA training unit implements training of the unmixing matrix according to the independent component data to generate a new unmixing matrix. The ORICA calculation unit may use the new unmixing matrix to implement an independent component analysis computation. Hardware complexity and power consumption can be reduced by sharing registers and arithmetic calculation units.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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