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中科院心理所社会与工程心理学研究室学术沙龙第八期
作者: 社会与工程心理学研究室 研究生部 ║ 日期: 2012/05/28 

学术沙龙第八期:Optimization in Pattern Recognition of Neurophysiological Signal and Neuroimaging Data

时间:2012年5月31日(周四)上午9点开始

地点:中科院心理所北楼一层报告大厅

报告人:W. Art Chaovalitwongse(Associate Professor, Department of Industrial & Systems Engineering, College of Engineering,Associate Professor (joint), Department of Radiology, School of Medicine,University of Washington)

主持人:吴昌旭研究员

Abstract:

I will discuss some recent studies in optimization and machine learning used to develop a new pattern recognition framework. While the ultimate goal of this research is to improve the current medical diagnosis and prognosis by assisting the physicians in recognizing abnormality patterns (and/or patterns of interest) in medical data, pattern recognition of brain activity is a case point in this presentation. Specifically, our framework is employed to analyze neurophysiological signals (e.g., electroencephalograms - EEGs) and neuroimaging (e.g., functional magnetic resonance imaging – fMRI). Brain functions are the most complex systems known to man, and their activities/properties are encrypted in a form of large-scale spatio-temporal data such as EEGs and fMRI. Applications of our framework in epileptic seizure prediction, error detection, and anxiety detection from EEGs will be presented.

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