阅读说明：本技术 一种多动症儿童用脑电采集装置及方法 (Brain electricity acquisition device and method for children with hyperactivity ) 是由 赵项 魏峰 谭展华 于 2021-08-04 设计创作，主要内容包括：本发明涉及一种多动症儿童用脑电采集装置及方法,该方法包括：装置初始化,并确认耳夹信号和前额信号接收正常；通过耳夹电极和前额电极初步采集皮肤表面电压,并计算信噪值,然后判断信噪值是否小于设定的信噪值阈值；通过前额电极进行眨眼检测,并计算眨眼强度,然后判断眨眼强度是否在取值范围内；通过耳夹电极和前额电极采集表面肌肉电压,计算原始脑电数据；计算初始专注度指数、初始放松度指数以及两者之间的相关系数,然后判断相关系数是否在取值范围内；通过眨眼强度对初始专注度指数、初始放松度指数进行优化；优化后的专注度指数和放松度指数即为最终的专注度指数和放松度指数。该装置及方法有利于准确采集脑电数据。(The invention relates to a brain electricity acquisition device and a method for children with hyperactivity, wherein the method comprises the following steps: initializing the device and confirming that the ear clip signal and the forehead signal are received normally; preliminarily collecting skin surface voltage through an ear clip electrode and a forehead electrode, calculating a signal-to-noise value, and then judging whether the signal-to-noise value is smaller than a set signal-to-noise value threshold value; carrying out blink detection through a forehead electrode, calculating blink intensity, and then judging whether the blink intensity is in a value range; collecting surface muscle voltage through ear clip electrodes and forehead electrodes, and calculating original electroencephalogram data; calculating an initial concentration index, an initial relaxation index and a correlation coefficient between the initial concentration index and the initial relaxation index, and then judging whether the correlation coefficient is in a value range; optimizing the initial concentration index and the initial relaxation index through the blink intensity; and the optimized concentration index and the optimized relaxation index are the final concentration index and the final relaxation index. The device and the method are beneficial to accurately acquiring the electroencephalogram data.)

1. The brain electricity acquisition device for the children with the hyperkinetic syndrome is characterized by comprising a head-wearing structure and an electroencephalogram acquisition device, wherein the head-wearing structure comprises a head band, a foldable rotating piece and two sliding arms, the foldable rotating piece is rotatably connected with the head band, the two sliding arms are respectively arranged on the left side and the right side of the head band and are in sliding connection with the left side and the right side of the head band, the electroencephalogram acquisition device comprises a processing module, a wireless communication module, a forehead electrode and two ear clip electrodes, the processing module and the wireless communication module are mounted on the head band, the forehead electrode is mounted on the foldable rotating piece and is in contact with the forehead of a human body when the foldable rotating piece is screwed out forwards, the two ear clip electrodes are respectively mounted at the lower ends of the two sliding arms and are in contact with the ears of the human body, and the forehead electrode and the ear clip electrodes are respectively connected with the processing module to acquire electroencephalogram data, the processing module is connected with the wireless communication module to communicate with an upper computer.

2. The brain electrical collection device according to claim 1, wherein the foldable rotating member is a curved structure adapted to the shape of the headband, and the foldable rotating member is located under the headband, and the left and right ends of the foldable rotating member are rotatably connected to the left and right lower sides of the headband respectively.

3. The brain electrical collection device according to claim 2, wherein said brain electrical collection device comprises a forehead electrode, said forehead electrode being mounted inside said foldable rotating member.

4. The electroencephalogram collection device as in claim 1, wherein the left and right sides of the headband are respectively provided with a sliding cavity having a sliding slot, the sliding arm is inserted into the sliding cavity, and the sliding arm is connected with a sliding block capable of sliding up and down relative to the sliding slot to drive the sliding arm to slide up and down.

5. A method for collecting brain electricity of a child with hyperactivity based on the device of any one of claims 1-4, comprising the steps of:

(1) initializing the device and confirming that the ear clip signal and the forehead signal are received normally;

(2) preliminarily collecting skin surface voltage through an ear clip electrode and a forehead electrode, calculating a signal-to-noise value, judging whether the signal-to-noise value is smaller than a set signal-to-noise value threshold value, turning to the next step, and returning to the step (1) if the signal-to-noise value is smaller than the set signal-to-noise value threshold value, and judging whether ear clip signals and forehead signals are received normally;

(3) carrying out blink detection through a forehead electrode, calculating blink intensity, judging whether the blink intensity is in a value range, if so, turning to the next step, and otherwise, recalculating the blink intensity;

(4) surface muscle voltage is collected through ear clip electrodes and forehead electrodes, and original brain electrical data are calculated: delta waves, Theta waves, Alpha waves, low-frequency Beta waves, intermediate-frequency Beta waves and high-frequency Beta waves;

(5) calculating an initial concentration index, an initial relaxation index and a correlation coefficient between the initial concentration index and the initial relaxation index, judging whether the correlation coefficient is in a value range, if so, turning to the next step, and if not, returning to the step (4);

(6) optimizing the initial concentration index and the initial relaxation index through the blink intensity to obtain the optimized concentration index and the optimized relaxation index;

(7) the processing module takes the optimized concentration degree index and the optimized relaxation degree index as final concentration degree index and final relaxation degree index, and uploads the final concentration degree index and the final relaxation degree index through the wireless communication module.

6. The method for collecting brain electricity of children with hyperactivity according to claim 5, wherein in the step (2), the method for calculating the signal-to-noise value comprises the following steps:

wherein X is a signal-to-noise value, T_iFor a time span, x (N-i) is T_iInterval function over time.

7. The method according to claim 5, wherein in the step (3), the difference in potential between the cornea and the retina is collected through the forehead electrode, and the peak voltage U is read_pDuration T_dAnd peak velocity V_maxCalculating the Blink intensity Blink value according to the relationship among the three characteristic values; the calculation method of the Blink value comprises the following steps:

wherein the Blink value ranges from 0 to 200.

8. The method for collecting brain electricity of children with hyperkinetic syndrome according to claim 5, wherein in step (4), surface muscle voltage is collected through ear clip electrodes and forehead electrodes, and original brain electricity data is obtained through calculation by amplifying the voltage; the relationship between the raw brain electrical data and the surface muscle voltage is:

wherein, Rawdate represents the original electroencephalogram data, and U represents the acquired voltage value;

the brain wave types mainly influencing the concentration index A are low-frequency Beta waves and high-frequency Beta waves, and the brain wave types mainly influencing the relaxation index B are Delta waves, Theta waves and Alpha waves;

in step (5), initiallyConcentration degree index A₁The calculation method comprises the following steps:

A₁＝-7.4e--6d+9.2log(f)-4.6log(707+d)

where e represents the base of the natural logarithm function, and has the value:d represents a low frequency Beta wave, and f represents a high frequency Beta wave;

initial loft index B₁The calculation method comprises the following steps:

wherein a represents a Delta wave, b represents a Theta wave, and c represents an Alpha wave.

9. The method for collecting brain electricity of a child with hyperactivity according to claim 8, wherein in the step (5), the calculation method of the correlation coefficient between the initial concentration index and the initial relaxation index comprises:

wherein r represents a correlation coefficient, A_i、B_iRespectively representing the data values of the concentration index and the relaxation index at the moment i, n represents the total acquisition time,the average values of the concentration index and the relaxation index are respectively expressed.

10. The method for collecting brain electricity of a child with hyperactivity according to claim 1, wherein the method for optimizing the initial concentration index and the initial relaxation index in step (6) comprises:

wherein A is₁、B₁Respectively representing an initial concentration index, an initial relaxation index, A₂、B₂The optimized concentration index and relaxation index are respectively shown, and Blink shows the Blink intensity.

Technical Field

The invention belongs to the technical field of biofeedback, and particularly relates to a brain electricity acquisition device and method for children with hyperactivity.

Background

Biofeedback (EEG Biofeedback) is combined with computer technology, and is implemented by using electronic equipment to detect normal and abnormal states of neuromuscular and autonomic nervous systems, then amplifying effective signals as necessary, and then displaying the effective signals through vision, hearing and the like so as to feed back the effective signals to a human subject.

Combining brain electricity feedback technique treatment children hyperkinetic syndrome is the key of colleges and universities and research institutes research in recent years, and the technique of present comparatively ripe is just adopting professional brain electricity collection equipment to monitor the brain state of infant, analyzes out excellent sound wave and clutter, through the outstanding wave of mode training infant who is absorbed in power recreation training to this reaches the purpose of treatment, but comparatively ripe brain electricity collection equipment is mostly children's hospital on the present market and uses, and equipment is complicated and the price is expensive. When the device is used, a wet electrode mode is adopted to collect micro-voltage on the surface of the scalp of the infant, and then electroencephalogram data with different wavelengths are analyzed. Although the electroencephalogram data acquired by the equipment is accurate, due to the fact that the attention deficient disorder children are a special group, when the equipment is worn by a child patient, a plurality of electrode plates need to be attached to the surface of the scalp of the child patient, the child patient can easily resist, when the child patient is in a nervous and frightened environment, the acquired data can often generate large errors, and the reference value of the electroencephalogram data is not high.

In the prior art, the technology of utilizing the dry electrode to gather brain wave data has certain drawback, can lead to the data acquisition inaccurate, because the brain wave is a lasting unstable signal of telecommunication, receives external environment's interference easily, when using the dry electrode to gather brain wave data, can appear the noise point in the acquisition process, lead to brain wave numerical value increase unusually, this also is the problem that some portable brain electricity collection equipment manufacturers produced in the market equipment exists, does not use one of the reasons in professional treatment children hyperkinetic syndrome field.

Disclosure of Invention

The invention aims to provide a brain electricity acquisition device and method for children with hyperactivity, which are favorable for accurately acquiring brain electricity data.

In order to achieve the purpose, the invention adopts the technical scheme that: the utility model provides a hyperkinetic syndrome children use brain electricity collection system, includes wear-type structure and brain electricity collection system, wear-type structure includes the bandeau, can receive closes rotating member and two sliding arms, can receive to close rotating member and bandeau and rotate and be connected, two sliding arms are located the bandeau left and right sides respectively to with bandeau left and right sides portion sliding connection, brain electricity collection system includes processing module, wireless communication module, forehead electrode and two ear clamp electrodes, processing module, wireless communication module install on the bandeau, the forehead electrode is installed on can receiving closes rotating member, in order to contact with human forehead when can receiving to unscrew forward, two ear clamp electrodes are installed respectively in two sliding arm lower extremes, in order to contact with human ear, forehead electrode, ear clamp electrode are connected with processing module respectively, in order to gather brain electricity data, processing module is connected with wireless communication module, to communicate with the upper computer.

Furthermore, the foldable rotating part is a bending structure matched with the shape of the head band, and the foldable rotating part is positioned at the lower side of the head band, and the left end and the right end of the foldable rotating part are respectively in rotating connection with the left lower side part and the right lower side part of the head band.

Further, the electroencephalogram acquisition device comprises the forehead electrode, and the forehead electrode is mounted on the inner side of the foldable rotating piece.

Furthermore, the left side part and the right side part of the headband are respectively provided with a sliding cavity with a sliding groove, the sliding arm penetrates through the sliding cavity, and the sliding arm is connected with a sliding block which can slide up and down relative to the sliding groove so as to drive the sliding arm to slide up and down.

The invention also provides a brain electricity acquisition method for children with hyperactivity, which comprises the following steps:

(1) initializing the device and confirming that the ear clip signal and the forehead signal are received normally;

(2) preliminarily collecting skin surface voltage through an ear clip electrode and a forehead electrode, calculating a signal-to-noise value, judging whether the signal-to-noise value is smaller than a set signal-to-noise value threshold value, turning to the next step, and returning to the step (1) if the signal-to-noise value is smaller than the set signal-to-noise value threshold value, and judging whether ear clip signals and forehead signals are received normally;

(3) carrying out blink detection through a forehead electrode, calculating blink intensity, judging whether the blink intensity is in a value range, if so, turning to the next step, and otherwise, recalculating the blink intensity;

(4) surface muscle voltage is collected through ear clip electrodes and forehead electrodes, and original brain electrical data are calculated: delta waves, Theta waves, Alpha waves, low-frequency Beta waves, intermediate-frequency Beta waves and high-frequency Beta waves;

(5) calculating an initial concentration index, an initial relaxation index and a correlation coefficient between the initial concentration index and the initial relaxation index, judging whether the correlation coefficient is in a value range, if so, turning to the next step, and if not, returning to the step (4);

(6) optimizing the initial concentration index and the initial relaxation index through the blink intensity to obtain the optimized concentration index and the optimized relaxation index;

(7) the processing module takes the optimized concentration degree index and the optimized relaxation degree index as final concentration degree index and final relaxation degree index, and uploads the final concentration degree index and the final relaxation degree index through the wireless communication module.

Further, in the step (2), the method for calculating the signal-to-noise value comprises the following steps:

wherein X is a signal-to-noise value, T_iFor a time span, x (N-i) is T_iInterval function over time.

Further, in step (3), the electric potential difference between the cornea and the retina is collected by the forehead electrode, and the peak voltage is readU_pDuration T_dAnd peak velocity V_maxCalculating the Blink intensity Blink value according to the relationship among the three characteristic values; the calculation method of the Blink value comprises the following steps:

wherein the Blink value ranges from 0 to 200.

Further, in the step (4), surface muscle voltage is collected through the ear clip electrode and the forehead electrode, and original brain electricity data are obtained through calculation through voltage amplification; the relationship between the raw brain electrical data and the surface muscle voltage is:

wherein, Rawdate represents the original electroencephalogram data, and U represents the acquired voltage value;

the brain wave types mainly influencing the concentration index A are low-frequency Beta waves and high-frequency Beta waves, and the brain wave types mainly influencing the relaxation index B are Delta waves, Theta waves and Alpha waves;

in step (5), the initial concentration index A₁The calculation method comprises the following steps:

A₁＝-7.4e--6d+9.2log(f)-4.6log(707+d)

where e represents the base of the natural logarithm function, and has the value:d represents a low frequency Beta wave, and f represents a high frequency Beta wave;

initial loft index B₁The calculation method comprises the following steps:

wherein a represents a Delta wave, b represents a Theta wave, and c represents an Alpha wave.

Further, in step (5), the calculation method of the correlation coefficient between the initial concentration index and the initial relaxation index is as follows:

wherein r represents a correlation coefficient, A_i、B_iRespectively representing the data values of the concentration index and the relaxation index at the moment i, n represents the total acquisition time,the average values of the concentration index and the relaxation index are respectively expressed.

Further, in the step (6), the method for optimizing the initial concentration index and the initial relaxation index includes:

wherein A is₁、B₁Respectively representing an initial concentration index, an initial relaxation index, A₂、B₂The optimized concentration index and relaxation index are respectively shown, and Blink shows the Blink intensity.

Compared with the prior art, the invention has the following beneficial effects: the brain wave data acquisition device only retains the core function of brain wave acquisition, replaces a wet electrode of professional equipment with a dry electrode, can acquire corresponding brain wave data only by contacting a forehead electrode and an ear clip electrode with corresponding skin positions when being worn, and is simple in structure and easy to realize and maintain. In addition, the blink detection is added, the problem that the traditional method is inaccurate in brain wave data acquisition can be solved, when a user uses the equipment, whether the user enters the concentration state or not can be preliminarily analyzed through the blink detection, and corresponding brain wave data are acquired after the user enters the concentration state, so that the data acquisition is more accurate.

Drawings

Fig. 1 is a schematic structural view of a device in a folded state according to an embodiment of the present invention.

Fig. 2 is a schematic structural diagram of the device in an operating state according to the embodiment of the present invention.

FIG. 3 is a schematic block diagram of an implementation of the electroencephalogram acquisition device in the embodiment of the present invention.

Fig. 4 is a flow chart of a method implementation of an embodiment of the invention.

FIG. 5 is a schematic diagram of brain wave classification according to an embodiment of the present invention.

In the figure: 1-headband, 2-foldable rotating piece, 3-sliding arm, 4-forehead electrode, 5-ear clip electrode, 6-sliding groove and 7-sliding block.

Detailed Description

The invention is further explained below with reference to the drawings and the embodiments.

It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

As shown in fig. 1-3, the present embodiment provides a brain electrical collecting device for hyperkinetic children, which includes a head-wearing structure and a brain electrical collecting device, wherein the head-wearing structure includes a headband 1, a foldable rotating member 2 and two sliding arms 3, the foldable rotating member 2 is rotatably connected with the headband 1, the two sliding arms 3 are respectively disposed on the left and right sides of the headband 1 and are slidably connected with the left and right sides of the headband 1, the brain electrical collecting device includes a processing module, a wireless communication module, a forehead electrode 4 and two ear clip electrodes 5, the processing module and the wireless communication module are mounted on the headband, the forehead electrode is mounted on the foldable rotating member to contact with the forehead of a human body when the foldable rotating member is screwed out forward, the two ear clip electrodes are respectively mounted at the lower ends of the two sliding arms to contact with the earlobes of the human body, and the forehead electrode is mounted on the foldable rotating member, The ear clip electrodes are respectively connected with the processing module to collect electroencephalogram data, and the processing module is connected with the wireless communication module to communicate with an upper computer.

In this embodiment, the foldable rotating member 2 is a curved structure adapted to the shape of the headband, and the foldable rotating member 2 is located at the lower side of the headband 1, and the left and right ends thereof are respectively rotatably connected to the left and right lower sides of the headband 1. The electroencephalogram acquisition device comprises a forehead electrode, and the forehead electrode is arranged on the inner side of the foldable rotating piece, so that the forehead electrode can be tightly contacted with the human forehead when the foldable rotating piece is screwed out forwards.

In this embodiment, the left and right sides of the headband 1 are respectively provided with a sliding cavity with a sliding groove 6, the sliding arm 3 penetrates through the sliding cavity, and the sliding arm 3 is connected with a sliding block 7 which can slide up and down relative to the sliding groove to drive the sliding arm to slide up and down.

In this embodiment, the wireless communication module is a bluetooth module.

As shown in fig. 4, the embodiment further provides a brain electricity collecting method for children with hyperactivity based on the device, which includes the following steps:

(1) the device initializes and confirms that the ear clip signal and forehead signal are received properly.

(2) Preliminarily collecting skin surface voltage through the ear clip electrode and the forehead electrode, calculating a signal-to-noise value, judging whether the signal-to-noise value is smaller than a set signal-to-noise value threshold value, turning to the next step, and otherwise, returning to the step (1) to judge whether the ear clip signal and the forehead signal are received normally.

The method for calculating the signal-to-noise value comprises the following steps:

wherein X is a signal-to-noise value, T_iFor a time span, x (N-i) is T_iInterval function over time.

(3) And carrying out blink detection through a forehead electrode, calculating blink intensity, judging whether the blink intensity is in a value range, if so, turning to the next step, and otherwise, recalculating the blink intensity.

Specifically, the potential difference between the cornea and the retina is collected by the forehead electrode, and the peak voltage U is read_pDuration T_dAnd peak velocity V_maxCalculating the Blink intensity Blink value according to the relationship among the three characteristic values; the calculation method of the Blink value comprises the following steps:

wherein the Blink value ranges from 0 to 200.

The electroencephalogram data analysis is to obtain original electroencephalogram data (Delta waves, Theta waves, Alpha waves, low-frequency Beta waves, intermediate-frequency Beta waves and high-frequency Beta waves) by amplifying voltage for surface myoelectricity collected by a forehead electrode and an ear clip electrode, and then obtain the concentration index and the relaxation index by calculation and analysis.

(4) Surface muscle voltage is collected through ear clip electrodes and forehead electrodes, and original brain electrical data are calculated: delta waves, Theta waves, Alpha waves, low frequency Beta waves, intermediate frequency Beta waves, and high frequency Beta waves.

Specifically, surface muscle voltage is collected through ear clip electrodes and forehead electrodes, and original electroencephalogram data are obtained through calculation through voltage amplification; the relationship between the raw brain electrical data and the surface muscle voltage is:

wherein, Rawdate represents the original brain electricity data, and U represents the collected voltage value.

Fig. 5 shows the frequency ranges of different brain wave types and the corresponding mental states as known in the art. The brain wave types mainly influencing the concentration index A are low-frequency Beta waves and high-frequency Beta waves, and the brain wave types mainly influencing the relaxation index B are Delta waves, Theta waves and Alpha waves.

It should be noted that, in the prior art, one ear clip electrode is adopted. In the invention, two ear clip electrodes are adopted, the data acquired by the two ear clip electrodes are mutually verified, if the deviation between the data acquired by the two ear clip electrodes is within a set range, the data acquisition is considered to be normal and credible, and the data acquired by the two ear clip electrodes are processed by a mathematical method such as an average value and the like to obtain the required voltage data. If the deviation between the data collected by the two ear clip electrodes exceeds a set range, the data collection is considered to be abnormal, the collected data is removed, and the data collection is carried out again.

(5) And (4) calculating an initial concentration index, an initial relaxation index and a correlation coefficient between the initial concentration index and the initial relaxation index, judging whether the correlation coefficient is in a value range, if so, turning to the next step, and if not, returning to the step (4).

Wherein the initial concentration index A₁The calculation method comprises the following steps:

A₁＝-7.4e--6d+9.2log(f)-4.6log(707+d)

where e represents the base of the natural logarithm function, and has the value:d denotes a low frequency Beta wave, and f denotes a high frequency Beta wave.

Initial loft index B₁The calculation method comprises the following steps:

wherein a represents a Delta wave, b represents a Theta wave, and c represents an Alpha wave.

The calculation method of the correlation coefficient between the initial concentration index and the initial relaxation index comprises the following steps:

wherein r represents a correlation coefficient, A_i、B_iRespectively representing the data values of the concentration index and the relaxation index at the moment i, n represents the total acquisition time,the average values of the concentration index and the relaxation index are respectively expressed.

(6) And optimizing the initial concentration index and the initial relaxation index through the blink intensity to obtain the optimized concentration index and relaxation index.

Specifically, the method for optimizing the initial concentration index and the initial relaxation index comprises the following steps:

wherein A is₁、B₁Respectively representing an initial concentration index, an initial relaxation index, A₂、B₂The optimized concentration index and relaxation index are respectively shown, and Blink shows the Blink intensity.

(7) The processing module takes the optimized concentration degree index and the optimized relaxation degree index as final concentration degree index and final relaxation degree index, and uploads the final concentration degree index and the final relaxation degree index through the wireless communication module.

The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.