Electroencephalogram fear degree grading feature research based on VR system
An EEG signal and EEG technology, applied in the fields of medical science, psychological devices, sensors, etc., can solve problems such as only suitable for analyzing stable signals, and achieve the effect of improving accuracy, improving efficiency, and reducing unnecessary influences.
Inactive Publication Date: 2018-11-16
NANJING UNIV OF POSTS & TELECOMM
View PDF6 Cites 3 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the disadvantage of these methods is that they are only suitable for analyzing stationary signals, and have great limitations for analyzing non-stationary signals such as EEG signals.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0031] Such as figure 1 As shown, the picture shows the overall plan of this experiment. The experimental design part uses the classic psychological experiment——Stroop experiment. E-Prime software is used to design two kinds of Stroop experiments of different difficulty, which are run on the computer. During the experiment, the subjects performed stroop experiments in the high and low difficulty groups respectively, and the software recorded the subjects' reaction time and correct response rate through button feedback, and recorded the subjects' subjective fatigue value between each experiment. The Neuroscan64 device was used to collect EEG signals throughout the experiment for subsequent analysis. Experimental data analysis part: Subjective fa...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an electroencephalogram fear degree grading feature method based on a VR system. With the development and progress of the society, phobia is more and more common nowadays, grading of fear is conducive to judgement on the fear degree, and thus potential patients can receive treatment in time. By adopting a VR device for playing a scary video for a user, fear electroencephalograms different in degree are triggered, Shen Minfen wavelet packet decomposition and a Lempel-Ziv complexity (LZC) algorithm are adopted for conducting feature analysis on the fear electroencephalograms different in degree. It is indicated by an experimental result that with increase of the fear degree, energy of delta rhythm in the electroencephalograms can be decreased, and the energy of alpharhythm, theta rhythm and beta rhythm can be increased. Under three different fear degrees, the LZC value of the first fear degree is the lowest, the LZC value of the second fear degree is medium high,and the LZC value of the third fear degree is the highest. Thus, LZC parameters can serve as potential indexes for measuring the fear degrees, and application of VR provides a new thinking pattern for later research on the electroencephalograms.
Description
technical field [0001] The present invention designs research on the grading characteristics of EEG signal fear degree based on VR system. Specifically, it is designed to use VR technology to watch a fear video to induce different degrees of fear in people, and to analyze the change trend of EEG under different fear levels. This invention belongs to the combination of cognitive neuroscience and information technology, and belongs to the field of digital signal processing technology. . Background technique [0002] Studies have found that fear is an important component or core symptom of many mental disorders, such as obsessive-compulsive disorder, selective mutism, phobia, social withdrawal, etc. Compared with happiness, sadness, and anger, fear is an easier type of emotion to control and study. By studying the law of fear emotions, it helps to control fear and can be used to detect and treat fear-related diseases. Therefore, this paper studies the characteristics of EEG ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): A61B5/0484A61B5/16A61B5/048A61B5/00A61B5/374
CPCA61B5/165A61B5/7264A61B5/378A61B5/374
Inventor 徐欣陈玉娇
Owner NANJING UNIV OF POSTS & TELECOMM