计算机工程与应用2019，Vol.55Issue(9)：107-111,5.DOI:10.3778/j.issn.1002-8331.1801-0290
基于递归定量分析的视听脑电应用研究
Research on Audiovisual EEG Based on Recurrence Quantification Analysis
李世丹 1朱晓军1
作者信息
- 1. 太原理工大学 计算机科学与技术学院,太原 030024
- 折叠
摘要
Abstract
The research of auditovisual integration EEG signal has enriched the field of brain cognition. However, most of existing EEG analysis methods are based on linear analysis methods, and require high SNR for data. Being a non-linear analysis method, the recursive quantitative analysis method based on the order recursive plot of phase space reconstruc-tion has a lower noise requirement on the measured signals. It provides a new analysis method for the integration of audio-visual and auditory studies. Through the experiment of design different audiovisual stimulation paradigms, and EEG data of subject are collected under different stimulation paradigms. The phase space reconstruction is used in the preprocessed data to obtain the ordered recursive plot. Taking the Recursive Rate(RR)and deterministic(DET)as analysis parameters of integration effect. The experimental results show that this method can effectively analyze the visual and auditory inte-gration effects from the perspective of nonlinear and it has high accuracy.关键词
视听整合/脑电信号/递归定量分析Key words
audiovisual integration/ Electroencephalogram(EEG)/ recurrence quantification analysis分类
信息技术与安全科学引用本文复制引用
李世丹,朱晓军..基于递归定量分析的视听脑电应用研究[J].计算机工程与应用,2019,55(9):107-111,5.
