CN-121971094-A - Beta-basedHMethod for measuring degree of reduction of dangerous perceptibility of driver in monotone scene of alpha brain electrical index

CN121971094ACN 121971094 ACN121971094 ACN 121971094ACN-121971094-A

Abstract

The invention discloses a method for measuring the risk perception degree of a driver in a monotone scene based on beta H -alpha electroencephalogram indexes, which is characterized by setting two types of risk signal perception test tasks of an urban road scene and an expressway scene, collecting electroencephalogram signals of a person to be tested in the two types of tasks, calculating baseline normalized wave band power average values corresponding to beta H -alpha indexes in a time window 350-550 ms in a PZ channel of the person to be tested under different tasks, and respectively calculating index values under different tasks and under different conditions, and carrying out statistical test on p values and average values of the differences. If it is And And The method is effective in measurement, and the degree of decrease of the dangerous perception of the monotone scene of the tested person is The method has the advantages of objectively and directly evaluating the reduction degree of the dangerous perception of the tested person in a monotone scene.

Inventors

YU HAIHONG
CHEN YITAO
HAO JIANGHAI
GONG PING
LI DANDAN

Assignees

宁波工程学院

Dates

Publication Date: 20260505
Application Date: 20260122

Claims (5)

1. The method for measuring the degree of reduction of the dangerous perception of the driver in the monotone scene based on the beta H -alpha brain electrical index is characterized by comprising the following specific steps: (1) Wearing multichannel electroencephalogram measurement equipment for a measured person to record electroencephalogram signals; (2) Setting two tasks of dangerous signal perception test of urban road scene containing traffic light crossing and dangerous signal perception test of expressway scene with single straight road scene in the simulated driving environment, wherein each task comprises two stimulation conditions of dangerous signal and no dangerous signal, and acquiring 10-minute-duration electroencephalogram signals of the tested person respectively in the two tasks to obtain original electroencephalogram data of the tested person; (3) Preprocessing original electroencephalogram data, wherein the preprocessing comprises signal amplification, segmentation interception, signal noise reduction, band-pass filtering and artifact removal in sequence; (4) According to the preprocessed brain electrical data, respectively calculating the power values of the beta H wave band, the alpha wave band and the baseline normalized wave band corresponding to the beta H -alpha index in a time window of 350-550 ms after the stimulation signal appears under different tasks and different conditions of the tested person; (5) Comparing the difference between the baseline normalization index P_dB City . risk of corresponding to the beta H -alpha index when the dangerous signal is perceived under the urban road and the baseline normalization index P_dB High speed . risk of corresponding to the beta H -alpha index when the dangerous signal is perceived under the expressway, calculating the P value of the statistical test of the difference between P_dB City . risk of and P_dB High speed . risk of obtained by calculating the difference between the baseline normalization index P_dB City . Safety device corresponding to the beta H -alpha index when the dangerous signal is not perceived under the urban road and the baseline normalization index P_dB High speed . Safety device corresponding to the beta H -alpha index when the dangerous signal is not perceived under the expressway Calculating to obtain the average value Average value of A statistically tested P-value that computes the difference between P_dB City . Safety device and P_dB High speed . Safety device Then, the degree of risk perception decline of the person under test is calculated if And is also provided with And is also provided with The method is effective in measurement, and the degree of decrease of the dangerous perception of the monotone scene of the tested person is A smaller value indicates a greater degree of descent, if the conditions are And is also provided with And is also provided with If not, the measurement is invalid.
2. The method for measuring the degree of reduction of the risk perception of a driver in a monotone scene based on beta H -alpha electroencephalogram indexes according to claim 1, wherein in the step (2), the test task is a risk signal judging task, two conditions are two stimulation conditions including a risk signal and a non-risk signal, electroencephalogram data of a tested person in a period from stimulation to 2000ms are extracted in the test, and the test task under each condition is ensured to be 20 times or more.
3. The method for measuring the risk perception degree of a driver in a monotone scene based on beta H -alpha electroencephalogram indexes according to claim 1 is characterized in that in the step (3), in the process of preprocessing original electroencephalogram data, 0.5-40 Hz band-pass filtering is carried out on the original electroencephalogram data, independent component analysis and data recombination are carried out by utilizing a FastICA algorithm based on a maximum negative entropy principle so as to effectively remove artifact interference, and the preprocessed electroencephalogram data are reserved with beta H and alpha wave bands as target data of subsequent analysis.
4. The method for measuring the degree of risk perception degradation of a driver in a monotone scene based on the beta H -alpha electroencephalogram index according to claim 2, wherein in the step (4), the calculation method of the baseline normalized band power value is as follows: (4-1) for each task, the test time is 10 minutes, and the pretreated electroencephalogram data is subjected to wavelet transformation to obtain band power values of beta H and alpha bands in a Pz electrode channel in a range of 350-550 ms after the stimulation signals appear; (4-2) respectively carrying out wave band power calculation aiming at four conditions of perceived danger of urban roads, perceived danger of expressways, perceived non-danger of urban roads and perceived non-danger of expressways, and taking-300 ms to-100 ms before stimulation as a base line to obtain a base line normalized wave band power value, wherein the calculation relational expression is as follows: , , , , , , , , , , , , Wherein, the symbol P represents beta H wave band power under single stimulation condition, A represents alpha wave band power under single stimulation condition, k is frequency value, the value ranges are 14-30 Hz and 9-14 Hz respectively, the symbol Representing the beta H -alpha index value obtained after baseline normalization treatment under single stimulation condition, and sign Beta H wave band power representing baseline period of-300 ms to-100 ms before stimulation, symbol The alpha wave band power of the baseline period of-300 ms to-100 ms before stimulation is shown.
5. The method for measuring the degree of risk perception degradation of a driver in a monotone scene based on the beta H -alpha electroencephalogram as set forth in claim 4, wherein in said step (5), the average value is Average value of The calculated relation of (2) is: , , wherein the symbols are Mean values of baseline normalized β H - α index values under multiple stimulation conditions are shown.

Description

Method for measuring degree of reduction of dangerous perceptibility of driver in monotone scene based on beta H -alpha brain electrical index Technical Field The invention relates to the technical field of brain electrical nerve function measurement, in particular to a method for measuring the degree of dangerous perception decline of a driver in a monotone scene based on a difference value (beta H -alpha) between beta high-frequency band power and alpha band power. Background Risk perception refers to the degree of perceived sensitivity of an individual to a risk signal. In driving operations, the level of risk perception of the driver's individual is critical to driving safety. Related researches show that the driving for a long time in a monotonous scene (such as a highway) is easier to generate states of attention reduction such as distraction, tiredness and the like than an urban road, and causes obvious reduction of dangerous perceptibility, and the phenomenon is consistent with daily driving feeling of a driver. However, there is a large difference in the degree to which different driver individuals are affected by a monotone scene, causing a decrease in risk perception. The method can accurately identify the influence degree of the individual danger perception level of the driver by the monotone scene, and has important effects on measuring the safety consciousness anti-interference capability of the driver, reasonably arranging driving work tasks, dynamically regulating and controlling the attention level of the driver and evaluating potential danger factors of the monotone road scene. However, no evaluation method capable of accurately and objectively judging the degree of risk perception degradation of a driver caused by a monotone scene exists at present. The existing research shows that the brain electrical activity characteristics under the driving operation condition can reflect the attention level of an individual, and especially the nerve oscillation of a high-frequency part beta H (26-30 Hz) and an alpha-band (9-13 Hz) in a beta-band (14-30 Hz) plays an important role in cognitive decision and attention. Disclosure of Invention The invention aims to provide a method for measuring the risk perception degree of a monotone scene driver based on beta H -alpha brain electrical indexes, which can accurately and efficiently evaluate the risk perception degree of an individual by analyzing the cross-frequency band difference characteristics of brain electrical signals. The technical scheme adopted by the invention for solving the problems is that the method for measuring the degree of reduction of the dangerous perception of the driver in the monotone scene based on the beta H -alpha brain electrical index comprises the following specific steps: (1) Wearing multichannel electroencephalogram measurement equipment for a measured person to record electroencephalogram signals; (2) Setting two tasks of dangerous signal perception test of urban road (including traffic light crossing) scene and dangerous signal perception test of expressway (including straight road scene single) scene in a simulated driving environment, wherein each task respectively comprises two stimulation conditions including dangerous signals and no dangerous signals; (3) Preprocessing original electroencephalogram data, wherein the preprocessing comprises signal amplification, segmentation interception, signal noise reduction, band-pass filtering and artifact removal in sequence; (4) According to the preprocessed brain electrical data, respectively calculating the baseline normalized band power values (unit: dB) of a beta H band, an alpha band and a beta H -alpha index corresponding to the beta H band and the alpha band in a time window of 350-550 ms after the stimulation signal appears under different tasks and different conditions of a tested person; (5) Comparing the difference between the baseline normalization index P_dB City . risk of corresponding to the beta H -alpha index when the dangerous signal is sensed under the urban road and the baseline normalization index P_dB High speed . risk of corresponding to the beta H -alpha index when the dangerous signal is sensed under the expressway, calculating the P value of the statistical test of the difference between the P_dB City . risk of and the P_dB High speed . risk of obtained by calculating the difference between the baseline normalization index P_dB City . Safety device corresponding to the beta H -alpha index when the dangerous signal is not sensed under the urban road and the baseline normalization index P_dB High speed . Safety device corresponding to the beta H -alpha index when the dangerous signal is not sensed under the expressway Calculating to obtain the average valueAverage value ofA statistically tested P-value that computes the difference between P_dB City . Safety device and P_dB High speed . Safety device Then, the degree of risk perception de