CN112494774A - Continuous attention regulation and control system based on delayed electroencephalogram feedback - Google Patents
Continuous attention regulation and control system based on delayed electroencephalogram feedback Download PDFInfo
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- A—HUMAN NECESSITIES
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0044—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense
- A61M2021/005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense images, e.g. video
Abstract
The invention discloses a continuous attention regulation and control system based on delayed electroencephalogram feedback. In order to overcome the problem that the instant feedback mode is not consistent with the characteristics of continuous attention and attention defects in the prior art; the invention comprises an electroencephalogram acquisition module, a data acquisition module and a data acquisition module, wherein the electroencephalogram acquisition module is used for acquiring electroencephalogram analog signals of a subject; the data storage module is used for converting the acquired electroencephalogram analog signals into digital signals and storing the digital signals; the delay setting and analyzing module is used for setting delay parameters and completing analysis and extraction of the electroencephalogram characteristic signals; and the feedback presentation module is used for visually presenting the electroencephalogram characteristic signals. The scheme sets the feedback delay time, and the electroencephalogram characteristic signals are fed back to the testee after the feedback delay time, so that the attention of the testee can be adjusted, and the characteristics of continuous attention and attention defects are met.
Description
Technical Field
The invention relates to the field of continuous attention training systems, in particular to a continuous attention regulation and control system based on delayed electroencephalogram feedback.
Background
The electroencephalogram feedback means that electroencephalogram characteristic signals are extracted and fed back to a subject in a visual picture mode, and the subject adjusts the electroencephalogram signals through a certain strategy so as to train a certain cognitive function. The technology has wide application in continuous attention training and intervention treatment of attention deficit related diseases. In practical application, most electroencephalogram feedback technologies adopt an instant feedback mode, which means that electroencephalogram signals within 1 second at present are analyzed and extracted, and a subject adjusts the current electroencephalogram characteristic signals through feedback.
For example, a "real-time human brain attention test and training system based on EEG" disclosed in chinese patent document, which is published under the publication number CN107024987B, includes five parts of attention test, signal acquisition, data analysis, real-time transmission and test feedback, the attention test part is divided into internal and external tests of the system, and the signal acquisition part collects EEG data of a user by using an EEG acquisition device; the data analysis part utilizes a data analysis program to perform denoising, filtering and related rhythm wave analysis on the acquired signals; the real-time transmission part stores the quantized numerical values obtained by analysis for extraction at any time and transmits the quantized numerical values through a corresponding interface, and the test feedback part reads data of the real-time transmission part by using a corresponding program and realizes feedback through a visual interface.
However, continuous attention is usually the state of attention lasting from several minutes to tens of minutes, and more importantly, the main core symptoms of many neuropsychiatric diseases such as attention deficit hyperactivity disorder in clinic are continuous attention deficit. It is clear that this immediate feedback mode is not compatible with the concept of continuous attention and attention deficit.
Disclosure of Invention
The invention mainly solves the problem that the instant feedback mode is not consistent with the characteristics of continuous attention and attention defects in the prior art; the continuous attention regulation and control system based on the delayed electroencephalogram feedback is provided, the delay time of the feedback is set, electroencephalogram characteristic signals are extracted according to the set sliding window overlapping rate, a subject can see the electroencephalogram characteristic signal intensity of each delay time period through a feedback presentation module, continuous attention regulation and control are sequentially carried out, and the characteristics of continuous attention and attention defects are met.
The technical problem of the invention is mainly solved by the following technical scheme:
the invention comprises
The electroencephalogram acquisition module is used for acquiring electroencephalogram analog signals of a subject;
the data storage module is used for converting the acquired electroencephalogram analog signals into digital signals and storing the digital signals;
the delay setting and analyzing module is used for setting delay parameters and completing analysis and extraction of the electroencephalogram characteristic signals;
and the feedback presentation module is used for visually presenting the electroencephalogram characteristic signals.
The scalp brain waves of a testee are collected through the brain wave collecting module, the data storage module is converted into digital signals to be stored, and feedback delay time, sliding window overlapping rate and total feedback time length are set in a delay time window of the delay setting and analyzing module according to actual requirements. After the feedback starts, the subject keeps a period of attention state, when the set delay time is reached, the feedback starts, and then the electroencephalogram characteristic signal is extracted according to the set sliding window overlapping rate and is fed back. The examinee can see the electroencephalogram characteristic signal intensity in each delay time period and adjust the electroencephalogram characteristic signal intensity by controlling the attention of the examinee, so that the examinee accords with the characteristics of continuous attention and attention deficit.
Preferably, the electroencephalogram acquisition module comprises
The dry electrode is attached to the scalp of the testee so as to collect the electroencephalogram signals of the scalp of the testee;
the amplifier is used for amplifying and filtering the acquired electroencephalogram signals;
and the signal transmission unit is used for transmitting the processed electroencephalogram signals to the data storage module through wireless communication.
The device of this scheme of use simple structure, it is convenient to obtain the brain electricity signal, has got rid of the dependence of brain electricity collection appearance to the conducting medium, is difficult for receiving the environment restriction.
Preferably, the sampling frequency of the electroencephalogram acquisition module is 300 Hz-600 Hz.
The sampling frequency adopted by the scheme is 500 Hz.
Preferably, the data storage module comprises
The analog-to-digital conversion unit is used for converting the received electroencephalogram signal into a digital signal;
and the storage unit is used for storing the electroencephalogram signals collected by each dry electrode in a text form.
The analog quantity electroencephalogram signal becomes a digital quantity which can be received and processed by the processing module.
Preferably, the delay setting and analyzing module comprises
The delay setting unit is used for setting the length of a delay time window, the overlapping coefficient of a sliding window and the feedback duration;
the preprocessing unit is used for extracting the electroencephalogram signals in the appointed delay time window and carrying out denoising processing;
the electroencephalogram analysis unit is used for carrying out Fourier transform on the electroencephalogram signals in the delay time window to obtain frequency domain information of the electroencephalogram signals;
the electroencephalogram feature selection unit is used for extracting electroencephalogram features related to continuous attention and attention defects in a delay time window in frequency domain information, and the electroencephalogram features include Theta wave power of 4-8Hz, Beta wave power of 12-16Hz and the ratio of the Theta wave power to the Beta wave power.
According to the actual application requirements, the fed back electroencephalogram characteristic signals are set, and according to scientific literature and previous application conditions, the electroencephalogram characteristic signals comprise Theta waves of 4-8Hz, Beta waves of 12-16Hz and the ratio of Theta to Beta Theta/Beta.
Preferably, the preprocessing unit and the electroencephalogram analysis unit execute a sliding window algorithm based on the length of the delay time window, and the sliding window algorithm is
F(n)＝(anwf*(1-k)+anwf*(1-k)+1+anwf*(1-k)+2+…+anwf*(1-k)+m)/wf
Wherein n is the serial number of the current delay time window;
m is the number of sampling points;
w is the delay time window length;
f is the sampling frequency;
k is a sliding window overlap factor
nwf x (1-k) + m is the measurement in the delay period of the m-th sample point.
The delay time and the total feedback time are in minutes, and the overlapping degree of the sliding window is in percentage; the preprocessing unit and the electroencephalogram analysis unit process the electroencephalogram signals through a sliding window algorithm.
Preferably, the feedback presenting module comprises
The electroencephalogram characteristic selecting unit is used for selecting the electroencephalogram characteristics fed back, and the options comprise theta waves, beta waves and the ratio of the theta waves to the beta waves;
the feedback mode setting unit is used for appointing a feedback mode, and the feedback mode comprises characters, graphs or tables;
and the presentation unit is used for presenting the electroencephalogram characteristics appointed in the delay time window according to an appointed feedback mode.
The graphs comprise a bar graph and a line graph, and a subject can visually see the electroencephalogram characteristic signal intensity in each delay time period, so that the adjustment can be conveniently carried out by controlling the attention of the subject, the continuous attention adjustment and control can be carried out, and the characteristics of continuous attention and attention defects are met.
The invention has the beneficial effects that:
and setting feedback delay time, and feeding back the electroencephalogram characteristic signal to the subject after the feedback delay time to adjust the attention of the subject, so that the characteristics of continuous attention and attention deficit are met.
Drawings
Fig. 1 is a block diagram of a connection structure of a regulation system of the present invention.
In the figure, 1, an electroencephalogram acquisition module, 11, a dry electrode, 12, an amplifier, 13, a signal transmission unit, 2, a data storage module, 21, an analog-to-digital conversion unit, 22, a storage unit, 3, a delay setting and analyzing module, 31, a delay setting unit, 32, a preprocessing unit, 33, an electroencephalogram analyzing unit, 34, an electroencephalogram feature extracting unit, 4, a feedback presenting module, 41, an electroencephalogram feature selecting feature, 42, a feedback mode setting unit and 43, a presenting unit are arranged.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
the continuous attention regulation and control system based on delayed electroencephalogram feedback of the embodiment comprises an electroencephalogram acquisition module 1, a data storage module 2, a delay setting and analyzing module 3 and a feedback presenting module 4 which are sequentially connected as shown in fig. 1.
The electroencephalogram acquisition module 1 acquires an electroencephalogram analog signal of a subject.
The electroencephalogram acquisition module 1 comprises a dry electrode 11, an amplifier 12 and a signal transmission unit 13 which are electrically connected in sequence.
The dry electrode 11 is attached to the scalp of the subject to collect the electroencephalogram signal of the scalp of the subject, and the sampling frequency of the electroencephalogram signal collecting module 1 is 300Hz to 600Hz, and in this embodiment, the sampling frequency is 500 Hz. The amplifier 12 amplifies and filters the acquired electroencephalogram signals; the signal transmission unit 13 transmits the processed electroencephalogram signals to the data storage module 2 through wireless communication.
The data storage module 2 is used for converting the acquired electroencephalogram analog signals into digital signals and storing the digital signals. The data storage module 2 includes a digital-to-analog conversion unit 21 and a storage unit 22.
The analog-to-digital conversion unit 21 converts the received electroencephalogram signal into a digital signal; the storage unit 22 stores the electroencephalogram signals acquired by each dry electrode in a text form.
The delay setting and analyzing module 3 is used for setting delay parameters and completing analysis and extraction of the electroencephalogram characteristic signals. The delay setting and analyzing module 3 comprises
The delay setting and analyzing module 3 comprises a delay setting unit 31, a preprocessing unit 32, an electroencephalogram analyzing unit 33 and an electroencephalogram feature extracting unit 34 which are connected in sequence.
The delay setting unit 31 is used to set the delay time window length, the sliding window overlap coefficient, and the feedback time length. The delay time and the total duration of the feedback are in minutes and the degree of overlap of the sliding windows is in percent. The preprocessing unit 32 and the electroencephalogram analyzing unit 33 process the electroencephalogram signals through a sliding window algorithm.
The preprocessing unit 32 and the electroencephalogram analysis unit 33 execute a sliding window algorithm based on the length of the delay time window, wherein the sliding window algorithm is as follows:
F(n)＝(anwf*(1-k)+anwf*(1-k)+1+anwf*(1-k)+2+…+anwf*(1-k)+m)/wf
wherein n is the serial number of the current delay time window;
m is the number of sampling points;
w is the delay time window length;
f is the sampling frequency;
k is a sliding window overlap factor
nwf x (1-k) + m is the measurement in the delay period of the m-th sample point.
The preprocessing unit 32 extracts the electroencephalogram signal in the specified delay time window for denoising. The electroencephalogram analysis unit 33 is configured to perform fourier transform on the electroencephalogram signal in the delay time window to obtain frequency domain information of the electroencephalogram signal.
The electroencephalogram feature extraction unit 34 is used for extracting electroencephalogram features related to continuous attention and attention defects in a delay time window in frequency domain information, wherein the electroencephalogram features comprise Theta wave power of 4-8Hz, Beta wave power of 12-16Hz and a ratio of the Theta wave power to the Beta wave power.
The feedback presenting module 4 presents the electroencephalogram characteristic signal in a visual way. The feedback presenting module 4 includes an electroencephalogram feature selecting unit 41, a feedback mode setting unit 42, and a presenting unit 43.
The electroencephalogram feature selection unit 41 is used for selecting the fed back electroencephalogram features, and the options include theta waves, beta waves and the ratio of the theta waves to the beta waves. The feedback mode setting unit 42 is configured to specify a feedback mode, and the feedback mode includes text, graphics, or tables. The graph comprises a bar graph or a line graph. The presentation unit 43 presents the electroencephalogram feature specified in the delay time window in a specified feedback mode.
According to the scheme of the application, the electroencephalogram signals of the scalp of a subject are acquired through the dry electrode 11, amplified and filtered through the amplifier 12, and then wirelessly transmitted to the data storage unit 2 through the signal transmission unit 13. An analog-to-digital conversion unit 21 in the data storage unit 2 converts the received electroencephalogram signals into digital signals, and a storage unit 22 stores the electroencephalogram signals acquired by each dry electrode 11 in a text form.
And setting feedback delay time, a sliding window overlapping rate and a feedback total time length in a delay time window of the delay setting and analyzing module 3 according to actual requirements. After the feedback starts, the subject keeps a period of attention state, when the set delay time is reached, the feedback starts, and then the electroencephalogram characteristic signal is extracted according to the set sliding window overlapping rate and is fed back. The examinee can see the electroencephalogram characteristic signal intensity in each delay time period and adjust the electroencephalogram characteristic signal intensity by controlling the attention of the examinee, so that the examinee accords with the characteristics of continuous attention and attention deficit. The device of the embodiment has simple structure and convenient use.
It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (7)
1. A continuous attention regulation and control system based on delayed electroencephalogram feedback is characterized by comprising
The electroencephalogram acquisition module (1) is used for acquiring electroencephalogram analog signals of a subject;
the data storage module (2) is used for converting the acquired electroencephalogram analog signals into digital signals and storing the digital signals;
the delay setting and analyzing module (3) is used for setting delay parameters and completing analysis and extraction of electroencephalogram characteristic signals;
and the feedback presentation module (4) is used for visually presenting the electroencephalogram characteristic signals.
2. The system for continuous attention regulation and control based on delayed electroencephalogram feedback as claimed in claim 1, wherein the electroencephalogram acquisition module (1) comprises
The dry electrode (11) is attached to the scalp of the testee so as to collect the electroencephalogram signals of the scalp of the testee;
the amplifier (12) is used for amplifying and filtering the acquired electroencephalogram signals;
and the signal transmission unit (13) is used for transmitting the processed electroencephalogram signals to the data storage module (2) through wireless communication.
3. The continuous attention regulating system based on the delayed electroencephalogram feedback as claimed in claim 2, wherein the sampling frequency of the electroencephalogram acquisition module (1) is 300 Hz-600 Hz.
4. The system for continuous attention regulation based on delayed electroencephalogram feedback as claimed in claim 2 or 3, wherein the data storage module (2) comprises
An analog-to-digital conversion unit (21) which converts the received electroencephalogram signal into a digital signal;
and the storage unit (22) is used for storing the electroencephalogram signals acquired by each dry electrode (11) in a text form.
5. The system for continuous attention regulation and control based on delayed electroencephalogram feedback as claimed in claim 1, wherein the delay setting and analyzing module (3) comprises
A delay setting unit (31) for setting a delay time window length, a sliding window overlap coefficient, and a feedback time length;
the preprocessing unit (32) extracts the electroencephalogram signals in the appointed delay time window and carries out denoising processing;
the electroencephalogram analysis unit (33) is used for carrying out Fourier transform on the electroencephalogram signals in the delay time window to obtain frequency domain information of the electroencephalogram signals;
and the electroencephalogram feature extraction unit (34) is used for extracting electroencephalogram features related to continuous attention and attention defects in a delay time window in frequency domain information, wherein the electroencephalogram features comprise Theta wave power of 4-8Hz, Beta wave power of 12-16Hz and the ratio of the Theta wave power to the Beta wave power.
6. The system of claim 5, wherein the preprocessing unit (32) and the electroencephalogram analysis unit (33) execute a sliding window algorithm based on the length of the delay time window, the sliding window algorithm being
F(n)＝(anwf*(1-k)+anwf*(1-k)+1+anwf*(1-k)+2+…+anwf*(1-k)+m)/wf
Wherein n is the serial number of the current delay time window;
m is the number of sampling points;
w is the delay time window length;
f is the sampling frequency;
k is a sliding window overlap factor
nwf x (1-k) + m is the measurement in the delay period of the m-th sample point.
7. The system for continuous attention regulation based on delayed electroencephalogram feedback as claimed in claim 1, wherein the feedback presenting module (4) comprises
The electroencephalogram characteristic selection unit (41) is used for selecting the electroencephalogram characteristics fed back, and options comprise theta waves, beta waves and the ratio of the theta waves to the beta waves;
a feedback mode setting unit (42) for specifying a feedback mode, the feedback mode including a character, a figure, or a table;
and a presentation unit (43) for presenting the electroencephalogram characteristics specified in the delay time window in a specified feedback mode.
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| CN202011110380.6A CN112494774A (en) | 2020-10-16 | 2020-10-16 | Continuous attention regulation and control system based on delayed electroencephalogram feedback |
| PCT/CN2021/099261 WO2022077936A1 (en) | 2020-10-16 | 2021-06-10 | Electroencephalogram feedback delay-based sustained attention regulation and control system |
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| WO2022077936A1 (en) * | 2020-10-16 | 2022-04-21 | 杭州师范大学 | Electroencephalogram feedback delay-based sustained attention regulation and control system |
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