计算机与数字工程2019，Vol.47Issue(10)：2381-2386,2391,7.DOI:10.3969/j.issn.1672-9722.2019.10.001
基于混合刺激诱发放松状态的方法研究∗
Study on the Method of Inducing Relaxation State Based on Mixed Stimulus
摘要
Abstract
In this paper,through the visual,auditory,mixed stimulation,the experimenter is adjusted into a highly relaxed state. Under these three kinds of stimuli,EEG signals are collected. In order to classify the data after and before stimulation by SVM,random forest,GBDT,LSTM methods,classifiers are used to cut the data of the adjustment phase to find out the effective time of different stimulation methods. The experiment verifies that 1)sliding time window is used to extract the mean,variance,ex?treme value,fluctuation index on time domain and power entropy,gravity frequency on frequency domain,have achieved good re?sults. 2)The effect of time series model(LSTM)on EEG classification is much better,and the accuracy rate can reach 92%. 3)Ac?cording to effective stimulation time,can get mixed stimulation effect better than visual stimulation,and visual stimulation effect better than auditory secondary thorn. 4)Visual stimuli affects the Theta and Alpha bands of brain waves,and auditory stimuli af?fects the Delta bands of brain waves.关键词
脑电/视觉刺激/听觉刺激/混合刺激/时间序列模型/有效时间Key words
EEG/visual stimulus/auditory stimulus/mixed stimulus/time series model/valid time分类
信息技术与安全科学引用本文复制引用
伍能彪,朱珍民,王毅..基于混合刺激诱发放松状态的方法研究∗[J].计算机与数字工程,2019,47(10):2381-2386,2391,7.基金项目
国家科技支撑计划课题"基于健康体验人群的慢病风险因素监测系统与应用示范"(编号:2013BAI04B01)资助. （编号:2013BAI04B01）
