Jinhui Shen
Beijing Union University, College of Biochemical Engineering, Beijing, 100023, China
Gang Zhang
Beijing Union University, College of Biochemical Engineering, Beijing, 100023, China
Minggang Shao
Beijing Union University, Beijing, 100101, China
Heping Hang
Beijing Union University, Beijing, 100101, China
ABSTRACT
The EEG (electroencephalogram) signal is a whole express way to show it's complicated electronic composition signal. It is a generally-accepted test method of epilepsy. An analysis algorithm of 24 lead EEG signal and it's embedded development system circuit method is discussed in the article. The method is based on genetic algorithms and fast ICA (FICA). And here a novel GA process is designed to realize a high-speed and automatic estimation. The comparative experiments show the whole solution is a robust, effective and superior method to solve the EEG blind signal separation problem.
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How to cite this article
Jinhui Shen, Gang Zhang, Minggang Shao and Heping Hang, 2013. Embedded Development System Based Blind Signal Separation of Multi-channel
Eeg Analyzer. Information Technology Journal, 12: 3164-3168.
DOI: 10.3923/itj.2013.3164.3168
URL: https://scialert.net/abstract/?doi=itj.2013.3164.3168
DOI: 10.3923/itj.2013.3164.3168
URL: https://scialert.net/abstract/?doi=itj.2013.3164.3168
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