Multifractal Detrended Fluctuation Analysis of alpha and theta EEG rhythms with musical stimuli
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- 作者：Akash Kumar Maitya ; akashmaity@ymail.com" class="auth_mail" title="E-mail the corresponding author ; Ruchira Pratihara ; Anubrato Mitraa ; Subham Deya ; Vishal Agrawala ; Shankha Sanyalb ; Archi Banerjeeb ; archibanerjee7@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Ranjan Senguptab ; Dipak Ghoshb
- 关键词：EEG ; Tanpura drone ; EMD ; Wavelet transform ; Alpha and theta brain rhythms ; MFDFA
- 刊名：Chaos, Solitons & Fractals
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：81
- 期：part_PA
- 页码：52-67
- 全文大小：3273 K
文摘
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EEG was done to record the brain electrical activity of 10 subjects in response to simple acoustical tanpura stimuli.
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Empirical Mode Decomposition (EMD) technique used to make the EEG signal free from blink and other muscular artifacts.
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Multifractal Detrended Fluctuation Analysis (MFDFA) performed to assess the complexity of extracted alpha and theta brain rhythms.
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The findings show spectral width i.e. complexity of alpha and theta rhythms increase in all the seven frontal locations studied, under the effect of musical stimuli.