Analyze the beta waves of electroencephalogram signals from young musicians and non-musicians in major scale working memory task

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• 作者：Chien-Chang Hsu^a ; ^{051170@mail.fju.edu.tw} ; ^{cch@csie.fju.edu.tw} ; Ching-Wen Cheng^a ; Yi-Shiuan Chiu^b
• 关键词：Electroencephalograms ; Beta waves ; Musicians ; Major scale ; Working memory task ; Feature extraction ; Clustering analysis
• 刊名：Neuroscience Letters
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：640
• 期：Complete
• 页码：42-46
• 全文大小：497 K
• 卷排序：640

文摘

Beta waves are significantly correlated with external stimulus and cognitive responses. EEG feature analysis and k-means algorithm are used to analyze the difference between young musicians and non-musicians. The feature value of response time, response intensity, and response power of the young musicians were superior than the non-musicians.