Multi-Channel Noise Reduced Visual Evoked Potential Analysis
نویسندگان
چکیده
منابع مشابه
Multi-channel Noise Reduced Visual Evoked Potential Analysis
In this paper, Principal Component Analysis (PCA) is used to reduce noise from multi-channel Visual Evoked Potential (VEP) signals. PCA is applied to reduce noise from multi-channel VEP signals because VEP signals are more correlated from one channel to another as compared to noise during visual perception. Emulated VEP signals contaminated with noise are used to show the noise reduction abilit...
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The primary goal of this work is to introduce temporal artifact detection strategy to remove artifacts in multichannel evoked potentials. An artifact is defined as any signal that may lead to inaccurate classifier parameter estimation. Temporal domain artifact detection tests include: a standard deviation (STD) test that can detect signals with little or abnormal variations in each channel, a c...
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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 2003
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss.123.1721