| Brain is a very important organ of human body.The research of brain science has got more and more attention by scientists from Chinese and foreign countries.To study the influence of environmental factors on EEG,combined with the physiological and psychological significance of various EEG,we can effectively improve the working efficiency and quality of life by controlling the layout of the environment.The purpose of this paper is to use the technology of EEG signal detection and embedded to monitor the EEG signals in different audio-visual environments,so as to study the mechanism of the influence of various audio-visual environments on EEG.Finally,an adaptive sleep assist system is designed used of the rule of audio-visual environment on EEG signals.Firstly,the paper introduces the development technology of EEG influenced by environmental,and then puts forward the research emphases of the paper,including the platform of software and hardware for EEG signal acquisition and audio-visual environment control,the research of single and collaborative effect of visual environment factors on EEG based on range gray fuzzy model,the research of collaborative effect of audio-visual environment on EEG and designing of sleep assist system based on audio-visual environment.The software and hardware platform of EEG signal acquisition and audio-visual environment control adopts TGAT1-L64 C chip which is specially used for EEG signal measurement,and uses the dry electrode to directly contact the forehead to measure EEG signal,and sends the measured EEG data to the upper computer through Bluetooth.The upper computer software includes windows software and Android software.Windows software is mainly used for the collection and storage of EEG data,Android platform software is mainly to complete the EEG data monitoring function considering the characteristics of the embedded system portable.This paper describes the working principle and design structure of each part of EEG signal acquisition and audio-visual environment control platform in detail,which provides the software and hardware basis for the realization of the goal of this paper.In the study of the influence of visual environment on EEG,three factors of visual environment,color,frequency and shape,are considered.Through the range grey fuzzy model,this paper first discuss the rule of EEG when these three environmental factors act alone,then determine the grey fuzzy matrix according to this rule and the result of orthogonal experiment,finally discuss the adaptive weight when these three visual environmental factors act on each other,and determine the cooperative effect mechanism of visual factors on EEG.This paper studies the rule of the collaborative effect of audio-visual environment on EEG.Firstly,the effects of four different natural sounds on EEG were studied,then the mechanism that the color factor which has the highest adaptive weight in visual environment and these sounds work together to influence on EEG is studiedAn adaptive sleep assist system is designed used of the rule of audio-visual environment on EEG signals.And the effectiveness of this system is proved by experiments.The judgment of sleeping time is realized by clustering algorithm.At the same time,some properties of sleep EEG data clustering center and non-sleep EEG data clustering center are discussed,and an idea of online sleep monitoring is proposed. |
