CN112057069B - Wireless wearing helmet system based on brain wave inspection - Google Patents
Wireless wearing helmet system based on brain wave inspection Download PDFInfo
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Abstract
The invention relates to a wireless wearing helmet system based on brain wave examination, which is characterized by comprising a brain wave data acquisition module, a brain wave data wireless transmission module, a brain wave data storage module, a attention and meditation visualization module, a brain wave data visualization module and a one-key dialing communication module; the brain wave data acquisition part comprises an brain wave detection chip, a silver chloride dry electrode, a wearable tactical helmet and a reference ear clip; the brain wave data wireless transmission part comprises a wireless Bluetooth transmission module; the attention and meditation visualization module comprises a programmable rgbLED lamp panel; the brain wave data storage part comprises a computer end Mind Record program and a mobile phone end eegID APP; the brain wave data visualization part comprises a Mind Record program module; the push-to-dial call module comprises a grsm call module, a microphone and a headset. The invention meets the wearing requirement of daily or task execution, and can collect brain wave data of specific fighters in real time and effectively store the data.
Description
Technical Field
The invention belongs to the field of medical health, and particularly relates to an electroencephalogram detection system applied to a wireless wearing helmet.
Background
In recent years, with the tremendous investment of future war weaponry by countries around the world, facing the intricate battlefield and various combat tasks, it is necessary for the martial arts team and the special fighter to study the portable devices that detect their physiological states. Helmets are one of the indispensable equipment for fighters, and can greatly reduce the injuries to the heads of the fighters in the battlefield. However, the physiological status of the fighter on the battle field can also affect the combat ability of the army. The brain wave head-mounted device is used for detecting whether a fighter feels tired, distracted, negative emotion, pressure and the like when the fighter performs tasks in real time, so that the fighter's combat state is ensured.
Disclosure of Invention
The invention provides a wireless wearing helmet system based on brain wave examination, which aims at monitoring physiological states of special fighters in real time.
The technical scheme of the invention is as follows:
the wireless wearing helmet system based on brain wave examination is characterized by comprising a brain wave data acquisition module, a brain wave data wireless transmission module, a brain wave data storage module, a attention and meditation visualization module, a brain wave data visualization module and a push-to-dial communication module;
the brain wave data acquisition part comprises an brain wave detection chip, a silver chloride dry electrode, a wearable tactical helmet and a reference ear clip;
the brain wave data wireless transmission part comprises a wireless Bluetooth transmission module;
the attention and meditation visualization module comprises a programmable rgbLED lamp panel;
the brain wave data storage part comprises a computer end Mind Record program and a mobile phone end eegID APP;
the brain wave data visualization part comprises a Mind Record program module;
the push-to-dial call module comprises a grsm call module, a microphone and a headset;
the brain wave data acquisition part collects original brain wave signals by using a sensor, and places a sensor module in a forehead area with little hair of the human brain, so that EEG definition is provided, and RAW and a power band can be accurately transmitted; simultaneously, the ear clip serving as the reference electrode is arranged at the earlobe part, so that biological parasitic electricity or other noise can be conveniently removed;
the brain wave detection chip collects original brain wave signals, processes and outputs alpha, beta brain wave band data, processes and outputs concentration degree and relaxation degree indexes; blink detection information may also be collected;
the rgb LED lamp panel controls the LED lamp, and whether the monitoring head belt is normally connected is judged by calling the PoorQuaity value; poorquality represents the intensity of the current signal; ranging from 0 to 200; the larger the value, the worse the signal reception is, i.e. the less standard the headband wear is; the PoorQuality outputs different time ratios of the on and off of the LEDs in different value ranges through switch-case sentences, so that intelligent reminding of the LED lamps under the condition that the monitoring head bands are not worn normally to different degrees is realized; in case the headband is worn regularly, the LED lamp will change color with the numerical changes of the attention and meditation; the value ranges of the attention and the meditation are 0 to 100; putting the LED lamp into a drawn rectangular coordinate system with two-dimensional colors to obtain the concentration/relaxation degrees of the brain corresponding to different LED lamp lights; in order to enable the LED lamp to traverse most colors under two-dimensional coordinates; linear color expression is carried out by adopting the Grassman law; according to the CIERGB chromaticity diagram: the chromaticity coordinates of the colors are determined by r and g, and r and g are defined as follows:
wherein blue light B is not present as a molecule; this is because when one luminance Y is specified, if both red light R and green light G are fixed values, blue light B can be found by the NTSC standard luminance formula; the NTSC standard lightness formula:
Y＝0.299R+0.587G+0.114B
thus, the hue at a fixed brightness can be determined by two variables; the solution can be used for controlling the color of the LED lamp beads; the luminous data used by the LED lamp beads are RGB data, so that under the condition of knowing r and g, given Y, each item value of RGB is calculated; the following ternary first-order equation is set forth by the Grassman's law and the NTSC standard lightness equation:
(r-1)R+rG+rB＝0
gR+(g-1)G+gB＝0
0.299R+0.587G+0.114B＝Y
simultaneous solutions, when Y is not equal to 0, the formula is obtained;
in the formula, r and g cannot be 1 at the same time, so that an equation set has no solution, the condition of human brain is met, and the attention and the meditation cannot reach a peak value at the same time; further, since RGB ranges from 0 to 255, the value of Y cannot exceed 0.114×255=29.07;
in the formula, the larger the Y value is, the higher the overall brightness of the LED is, and the more obvious the effect is;
a brain wave data storage section for processing and outputting brain wave band data of alpha, beta, etc. after receiving the pulse analysis data, and simultaneously processing and outputting concentration and relaxation indexes and other data developed in the future and blink detection;
brain wave data wireless transmission part: the data transmission is through UART serial COM port, bluetooth, file or any other device that can transmit byte stream; for each packet, the header is the beginning, the payload is the middle, and the test variables are the end, and the reference format is as follows:
the length of the actual data part does not exceed 169 bytes, wherein the data packet head and the tail check variable are respectively three bytes and one byte; this means that a complete and valid data packet is at least 4 bytes long and at most not more than 173 bytes long; the packet header consists of three bytes: two bytes for identifying the frame header followed by one byte;
in order to parse the valid data, each line data in the valid data must be parsed until all bytes of the valid data are parsed;
the reference format of the line data is as follows:
bytes in the format are conditionally present, only in some, but not all, of the line data;
the data packet received by the receiving end must be checked through the previous 3 steps; the receiving end analyzes the effective data to obtain various variables; once the check of the Checksum is passed, the receiving end can analyze the valid data; each data comprises a serial number corresponding to the type of the variable value, the length of the variable value and the size of the variable value; therefore, in order to parse the valid data, each line data in the valid data must be parsed until all bytes of the valid data are parsed;
brain wave data visualization section: the helmet is brought to the head and the tester brain waves are monitored.
The invention has the advantages that:
the brain wave detection chip and the helmet are fused by using the brain wave test method which is mature and convenient to use, so that the wearing requirement of daily or task execution is met, brain wave data of specific fighters can be acquired in real time, and the data can be effectively stored. The brain wave data of the special fighter is transmitted to the back end for processing in real time by Bluetooth, and the back end produces psychological and physiological assessment reports of the special fighter facing the battlefield by machine learning algorithms such as classification, dimension reduction and the like. The system combines the brain electricity detection chip and the helmet into a whole, thereby meeting the wearing requirement in daily or task execution. The conductive paste is not smeared, the wearing comfort degree is increased, and meanwhile, the protection can be provided for fighters to the maximum extent. The attention and meditation of fighters can be revealed through the color of the LED lamp under the condition of being separated from the upper computer. The talk function may be incorporated into the wearable device.
Drawings
FIG. 1 is a schematic diagram of an organization architecture of a system.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to fig. 1 and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
The wireless wearing helmet system based on brain wave examination comprises a brain wave data acquisition module, a brain wave data wireless transmission module, a brain wave data storage module, an attention and meditation degree visualization module, a brain wave data visualization module and a one-key dialing communication module;
the brain wave data acquisition part comprises an brain wave detection chip, a silver chloride dry electrode, a wearable tactical helmet and a reference ear clip;
the brain wave data wireless transmission part comprises a wireless Bluetooth transmission module;
the attention and meditation visualization module comprises a programmable rgbLED lamp panel;
the push-to-dial call module comprises a grsm call module, a microphone and a headset;
the brain wave data visualization part comprises a Mind Record program module;
the brain wave data storage part comprises a computer end Mind Record program and a mobile phone end eegID APP;
the brain wave data acquisition part: the sensor module is placed in a forehead area (FP 1) of the human brain where little hair is available, which provides EEG clarity, and can accurately transmit RAW and power bands. Meanwhile, the ear clip serving as the reference electrode is arranged at the earlobe part, so that biological parasitic electricity or other noise can be conveniently removed. When the brain wave sensor works, the sensor detects an original brain wave signal and inputs the original brain wave signal to a computer end program;
the sensor chip measurement includes: the method comprises the steps of processing and outputting an original brain wave signal, processing and outputting brain wave band data such as alpha, beta and the like, processing and outputting concentration degree and relaxation degree indexes, and other data and blink detection developed in the future.
And the LED lamp is used for controlling the LED lamp, and whether the monitoring head band is normally connected is judged by calling the PoorQuaity value. Poorquality represents the strength of the current signal. Ranging from 0 to 200. The larger the value, the worse the signal reception, i.e. the less normative the headband wear. The PoorQuality outputs different time ratios of the on and off of the LEDs in different value ranges through the switch-case statement, so that intelligent reminding of the LEDs under the condition that the monitoring head bands are not worn normally to different degrees is realized. In the case of a regular wear of the headband, the LEDs will change color as the values of the attention and meditation change. The values of the attention and meditation are all 0 to 100. And putting the LED lamp light into a drawn rectangular coordinate system with two-dimensional colors to obtain the concentration/relaxation degrees of the brain corresponding to different LED lamp lights. Since we need a color space urgently, we can traverse most colors in two-dimensional coordinates. We have found a viable solution from glasman's law. The glasman law is a linear expression of color. According to the CIERGB chromaticity diagram: the chromaticity coordinates of the colors are determined by r and g. Definition of r and g formula 4.1:
in the above expression, blue light (B) is not present as a molecule. This is because when we specify a luminance Y, if red (R) and green (G) are fixed values, then blue (B) can be found by the NTSC standard luminance formula. The NTSC standard lightness formula is 4.2.
Y＝0.299R+0.587G+0.114B
Thus, the hue at a fixed brightness can be determined by two variables. The solution can be used for controlling the color of the LED lamp beads. Since the light emission data used for the LED beads is RGB data, given Y, each item of RGB is calculated given rg. The following ternary system of first order equations 4.3 is listed by the Grassman's law and the NTSC standard lightness equation.
(r-1)R+rG+rB＝0
gR+(g-1)G+gB＝0
0.299R+0.587G+0.114B＝Y
Simultaneous solutions, when y+.0, yield equation 4.4.
In this formula, r and g cannot be 1 at the same time (which leads to no solution in the equation set), which accords with the brain condition, and the attention and meditation cannot reach the peak value at the same time. Further, since RGB ranges from 0 to 255, the value of Y cannot exceed 0.114×255=29.07.
In the above formula, the larger the Y value is, the higher the overall brightness of the LED is, and the more remarkable the effect is exhibited.
Brain wave data storage section: the computer program can process and analyze the data acquired by the sensor, and after receiving pulse analysis data, the program set in advance processes and outputs alpha, beta and other brain wave band data, and simultaneously processes and outputs concentration degree and relaxation degree indexes, other data developed in the future and blink detection;
brain wave data wireless transmission part: the data transfer is via UART serial COM port, bluetooth, file or any other device that can transfer byte streams. The data packets are formed from an asynchronous serial byte stream. The data transfer is via UART serial COM port, standard bluetooth serial port (SPP, 57600 baud rate), file or any other device that can transfer byte streams. For each packet, the header is the beginning, the payload is the middle, and the check variable is the end. The reference format is as follows:
the length of the actual data portion will not exceed 169 bytes, with the header and the end check variable being three bytes and one byte, respectively. This means that a complete and valid data packet is at least 4 bytes long (when no valid data is transmitted back, i.e. empty), at most not more than 173 bytes long (valid data is 169 bytes long). The packet header consists of three bytes: two bytes (0 xAA) for identifying the frame header, followed by one byte [ PLENGTH ]. The first two SYNC bytes (representing the effective data length) are used to identify the start of a new data frame, which has a value of 0xAA (decimal 170). These bytes for synchronization are two identical 0 xaas, not one, which avoids erroneous identification of the header when the valid data contains 170. Although, in the valid data, two [ SYNC ] s still occur, the [ PLENGTH ] s and the [ CHKSUM ] s can ensure that the packet does not identify the packet as erroneous. Bytes [ PLENGTH ] are used to describe the length of the valid data, and have values of 0-169. Any number greater than 169 means that there is an error (PLENGTH is too large). You note that the byte [ PLENGTH ] refers to the length of the valid data, not the length of the entire data frame. One data frame has a length of [ PLENGTH ] +4.
Once the Checksum passes, the receiving end can parse the valid data. The valid data is composed of a series of consecutive variable values containing a row of data (row variable) composed of a few bytes. Each row data (row variable) contains a sequence number corresponding to the variable value type, the length of the variable value, and the size of the variable value. Therefore, in order to parse the valid data, each line data in the valid data must be parsed, and it is known that all bytes of the valid data are parsed.
The reference format of the line data is as follows:
the bracketed bytes appear conditionally, meaning that they only appear in certain rows of data, not
Is all the data. If necessary, please refer to the following description. When the variable has a value of 0x55, the line data may start with zero or other [ WXCODE ] (extension CODE) bytes. The value of [ EXCODE ] represents the extension level of the EXCODE corresponding variable. In turn, the receiver needs to determine which variables the data contains by [ EXCODE ]. Thus, the parser needs to compare [ EXCODE ] of each line data with 0x55 to determine the expansion level of the line data.
The boundaries of the CODE and the expansion CODE together determine the type of variable in the line data. For example the [ EXCODE ] is 0,
the CODE value of 0x04 indicates that the variable of the data transmission is the value of Attention in the eSense class. It is noted that the value 0x55 in [ EXCODE ] is never used in [ CODE ], and the value 0xAA of [ SYNC ] is never present in [ CODE ]. If the value of [ CODE ] is between 0x00 and 0x7F, this means that the variable value returned is 1 byte in length. In this case, the byte [ VLENGTH ] does not exist, so that the byte [ VALUE ] appears immediately after the byte [ CODE ] appears. However, if the value of [ CODE ] is not between 0x00 and 0x7F, byte [ VLENGTH ] will appear immediately after byte [ CODE ]. Byte [ VLENGTH ] represents the byte length of the variable. This method of representing the byte length of a variable using VLENGTH is very effective when the byte length of the returned variable exceeds 1 byte.
The byte CHKSUM is used to check the validity of the significand. The definition of CHKSUM is as follows:
1. the individual bytes of all valid data are added.
2. Take the lower 8 digits.
3. The 8 digits are inverted (high-low exchange, e.g. 0000 0001 is changed to 1000 0000
The data packet received by the receiving end must be checked by the preceding 3 steps. If the calculated CHKSUM is not the same as the received CHKSUM, this means that the data of the frame is erroneous and cannot be used. If the variables are equal, the receiving end analyzes the effective data to obtain various variables. The detailed method will be given in the section "effective data format". Once the Checksum passes, the receiving end can parse the valid data. The valid data is composed of a series of consecutive variable values containing a row of data (row variable) composed of a few bytes. Each row data (row variable) contains a sequence number corresponding to the variable value type, the length of the variable value, and the size of the variable value. Therefore, in order to parse the valid data, each line data in the valid data must be parsed, and it is known that all bytes of the valid data are parsed.
Brain wave data visualization section: the helmet is brought to the brain of a person, and brain waves of a tester are monitored by brain electricity monitoring software;
further, among the various data transmitted by bluetooth:
(10) POOR_SIGNAL Quality: this variable is a one byte unsigned integer variable that describes the signal measured by ThinkGear, with multiple differences. Its value range is 0-200%. If the value of this variable is not 0, this means that there is noise disturbance. The higher the value, the more noise. In particular, a value of 200 means that the sensor is away from the skin of the user. This variable is typically transmitted once per second, indicating the signal quality of the most recent data packet. Signal noise may be caused by: mindSet headphones are not worn by a person, sensor contact is poor (GND or reference earlobe potential, or Mi size is not appropriate for ndSet headphones), excessive motion (i.e., moving the head or body, resulting in excessive compression of headphones), excessive environmental electrostatic noise (in some circumstances there are too many electrical signals or too much static on the person), excessive biological noise (e.g., EMG, EKG/ECG, EOG noise, etc.). In general, a certain amount of noise is unavoidable, and an algorithm exists inside the electroencephalogram chip to perform inspection and correction. Note that: when this variable is too large, neither Attention nor Meditation will be given.
(11) eSENSeTM Meters: for various different types of sSenses variables, the value ranges from 1 to 100. 40-60 are considered "neutral" under this definition, similar to "baseline". 60-80 is considered "slightly elevated" and can be interpreted as being higher than normal (there may be some person values slightly higher for Attention and mediation) and 80-100 is considered "higher" meaning that this variable is strongly indicated to be in a very high state. Likewise, 20-40 represents a "less" level. And 1-20 indicate that this task is in a very weak state. eSense may indicate that the state of distraction, emotional agitation, or abnormality (depending on the actual variable definition) 0 is a particular value. Meaning that the TGAM module cannot calculate the reliable level of the variable. This may (often) be due to excessive noise-induced (POOR_SIGNAL-induced) explanation for the excessive range of variation of the variable: because the algorithm built in the TGAM module is an adaptive algorithm, a slow automatic adjustment process exists, and the method is also why the TGAM module can adapt to brain wave signals of various people in a large range.
(12) Attentionense: the variable is an unsigned one byte long variable that is used to indicate the degree of attention in the sSense class, such as concentration or attention (steady and intense mental activity). The value range is 0-100. A variational, a questionable, a non-focused thinking or anxiety may reduce the level of the variable.
(13) MEDITATION sSense: MEDITATION means MEDITATION. The variable is an unsigned single byte length variable. Which is used to report the degree of meditation in the eSense class, i.e. the level of user mental "calm" or "relaxation". The value range is 0-100. It is noted that the degree of meditation is an indicator of the mind, not the physical indicator, which means that the direct relaxation of the holy body muscles does not lead to a highly meditation state. However, in most cases, relaxation of the body is performed, contributing to relaxation of the mental state. Meditation activities are reduced when the brain performs active psychological activities. Through long-term observation, it was found that eye closure is a method of effectively increasing meditation level. Mood disorders, absentmindedness, anxiety, emotional agitation and sensory stimuli may reduce the level of meditation.
(14) RAW Wave Value (16 bits): this variable consists of two bytes, representing a single band of brain wave samples. Its value range is-32768 to 32767. The first byte represents high order bit data and the second byte represents low order bit data. To restore the complete original data, the first byte is shifted left by 8 bits and then bitwise or with the second byte.
(15) Asic_eeg_power: these variables are the current levels of 8 widely accepted brain wave bands. These data are output in the form of 8 unsigned integers in small endian form. The 8 bands are output in the following order: delta (0.5-2.75 Hz), theta (3.5-6.75 Hz), low frequency alpha (7.5-9.25 Hz), high frequency alpha (10-11.75), low frequency beta (13-16.75 Hz), high frequency beta (18-29.75), low frequency gamma (31-39.75 Hz), intermediate frequency gamma (41-49.75 Hz). These values have no units and therefore it makes sense to compare the magnitude of the values between them. When using these values, it is necessary to employ a method of comparing the number or taking into consideration time fluctuations.
(16) Blink Strength: this is an unsigned variable of one byte in length. Which is used to represent the intensity of the last blink of the user. The value range is 1-255. This amount is only passed back when a blink is detected. This variable represents only the relative blink intensity, with no units. Note that: this variable can only be obtained by TGCD and tgcaps. The TGAM module does not return the variable directly. This variable is obtained by a function already programmed: tg_getvalue status () and tg_getvalue ().
(17) Attention and meditation visualization section: after the helmet is correctly worn, the attention and meditation of the testee can be independently displayed under the condition of being separated from the upper computer. The LEDs display different colors according to the values of the attention and the meditation.
(18) The LED lamp comprises three 5050LED lamp beads, an LED substrate, phase silicone grease and radiating fins, wherein the shell is a 3d printing model, and the inside of the shell is covered with a light homogenizing sheet. 5050LED lamp beads are programmable LED lamp beads and are connected with the singlechip by an i2c communication protocol. Only two wires are needed to operate the rbg color and the on-off time of the maximum of five meters and the maximum of 500 lamp beads. The three primary colors of red, green and blue of each lamp bead are divided into 256 levels, and 16,777,216 colors can be displayed theoretically. Because 80% of the energy consumption of the LED lamp is used for heating, phase silicone grease and radiating fins are added on the back side of the LED substrate for radiating the LED lamp. Unnecessary trouble brought to the guardian is avoided, and meanwhile, the service life of the LED lamp is prolonged. In order to make the light of the lamp beads more uniform, a layer of light homogenizing sheet is arranged on the inner side of the 3d printing shell. Strengthen the scattering of light, make the light that the LED lamp wholly sent softer. The attention and meditation may determine the color of the LED lamp at the same time. The mental state of the ward can be known by observing the current state of the LED lamp. The values of the attention and meditation range from 0 to 100. Theoretically, 10000 colors can be displayed.
The invention has four functions: collecting brain wave data; brain wave data Bluetooth wireless transmission; brain wave data visualization, which visually displays brain wave patterns; and storing brain wave data, providing a back-end machine learning algorithm for processing and producing an evaluation report.
The acquisition of brain waves is divided into an original brain wave and 8 raw waveforms. And the two data packets are respectively transmitted by brain wave data through data packets with different sizes. The small data packet contains original brain wave signals, the sampling and transmitting frequency is 512Hz, the big data packet contains raw brain wave signals in 8 and signals such as attention, meditation and the like, the sampling and transmitting frequency is 1Hz, the raw brain wave signals and the signals are transmitted to the singlechip through the serial port, and the singlechip captures through codes to obtain specific brain wave data. The brain electricity original data can also be directly transmitted to the upper computer through Bluetooth. Unpacking and waveform displaying are carried out on the corresponding upper computer program. And finally, storing the obtained brain wave signals into a database for back-end processing.
Before wearing the helmet, the battery switch needs to be turned on, the helmet is worn on the head, and the dry electrode is kept in good contact with the left forehead FP1 area, so that no foreign matter is blocked. And finally, opening a Mind Record program or an eegID program of the mobile phone terminal in the computer. The program will automatically turn on bluetooth, search for and connect to the helmet. And finally, displaying the brain electrical signal waveform in a screen.
The invention can use a push-to-dial call module, which comprises a grsm call module, a microphone and a headset, and the telephone number to be dialed is burnt into the singlechip in advance, so that the telephone number can be broadcast through a button at any time. The number of dials and the dial objects may be changed by adding buttons or modifying codes. In addition, the communication module is provided with a key function, and can answer calls coming from any user.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced with equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions, which are defined by the scope of the appended claims.
Claims (3)
1. The wireless wearing helmet system based on brain wave examination is characterized by comprising a brain wave data acquisition module, a brain wave data wireless transmission module, a brain wave data storage module, a attention and meditation visualization module, a brain wave data visualization module and a push-to-dial communication module;
the brain wave data acquisition part comprises an brain wave detection chip, a silver chloride dry electrode, a wearable tactical helmet and a reference ear clip;
the brain wave data wireless transmission part comprises a wireless Bluetooth transmission module;
the attention and meditation visualization module comprises a programmable rgbLED lamp panel;
the brain wave data storage part comprises a computer end Mind Record program and a mobile phone end eegID APP;
the brain wave data visualization part comprises a Mind Record program module;
the push-to-dial call module comprises a grsm call module, a microphone and a headset;
the brain wave data acquisition part collects original brain wave signals by using a sensor, and places a sensor module in a forehead area with little hair of the human brain, so that EEG definition is provided, and RAW and a power band can be accurately transmitted; simultaneously, the ear clip serving as the reference electrode is arranged at the earlobe part, so that biological parasitic electricity or other noise can be conveniently removed;
the brain wave detection chip collects original brain wave signals, processes and outputs alpha, beta brain wave band data, processes and outputs concentration degree and relaxation degree indexes; blink detection information may also be collected;
the rgb LED lamp panel controls the LED lamp, and whether the monitoring head belt is normally connected is judged by calling the PoorQuaity value; poorquality represents the intensity of the current signal; ranging from 0 to 200; the larger the value, the worse the signal reception is, i.e. the less standard the headband wear is; the PoorQuality outputs different time ratios of the on and off of the LEDs in different value ranges through switch-case sentences, so that intelligent reminding of the LED lamps under the condition that the monitoring head bands are not worn normally to different degrees is realized; in case the headband is worn regularly, the LED lamp will change color with the numerical changes of the attention and meditation; the value ranges of the attention and the meditation are 0 to 100; putting the LED lamp into a drawn rectangular coordinate system with two-dimensional colors to obtain the concentration/relaxation degrees of the brain corresponding to different LED lamp lights; in order to enable the LED lamp to traverse most colors under two-dimensional coordinates; linear color expression is carried out by adopting the Grassman law; according to the CIE RGB chromaticity diagram: the chromaticity coordinates of the colors are determined by r and g, and r and g are defined as follows:
wherein blue light B is not present as a molecule; this is because when one luminance Y is specified, if both red light R and green light G are fixed values, blue light B can be found by the NTSC standard luminance formula; the NTSC standard lightness formula:
Y＝0.299R+0.587G+0.114B
thus, the hue at a fixed brightness can be determined by two variables; the solution can be used for controlling the color of the LED lamp beads; the luminous data used by the LED lamp beads are RGB data, so that under the condition of knowing r and g, given Y, each item value of RGB is calculated; the following ternary first-order equation is set forth by the Grassman's law and the NTSC standard lightness equation:
(r-1)R+rG+rB＝0
gR+(g-1)G+gB＝0
0.299R+0.587G+0.114B＝Y
simultaneous solutions, when Y is not equal to 0, the formula is obtained;
in the formula, r and g cannot be 1 at the same time, so that an equation set has no solution, the condition of human brain is met, and the attention and the meditation cannot reach a peak value at the same time; further, since RGB ranges from 0 to 255, the value of Y cannot exceed 0.114×255=29.07;
in the formula, the larger the Y value is, the higher the overall brightness of the LED is, and the more obvious the effect is;
a brain wave data storage section for processing and outputting brain wave band data of alpha, beta, etc. after receiving the pulse analysis data, and simultaneously processing and outputting concentration and relaxation indexes and other data developed in the future and blink detection;
brain wave data wireless transmission part: the data transmission is through UART serial COM port, bluetooth, file or any other device that can transmit byte stream; for each packet, the header is the beginning, the payload is the middle, and the test variables are the end, and the reference format is as follows:
the length of the actual data part does not exceed 169 bytes, wherein the data packet head and the tail check variable are respectively three bytes and one byte; this means that a complete and valid data packet is at least 4 bytes long and at most not more than 173 bytes long; the packet header consists of three bytes: two bytes for identifying the frame header followed by one byte;
in order to parse the valid data, each line data in the valid data must be parsed until all bytes of the valid data are parsed;
the reference format of the line data is as follows:
bytes in the format are conditionally present, only in some, but not all, of the line data;
the data packet received by the receiving end must be checked through the previous 3 steps; the receiving end analyzes the effective data to obtain various variables; once the check of the Checksum is passed, the receiving end can analyze the valid data; each data comprises a serial number corresponding to the type of the variable value, the length of the variable value and the size of the variable value; therefore, in order to parse the valid data, each line data in the valid data must be parsed until all bytes of the valid data are parsed;
brain wave data visualization section: the helmet is brought to the head and the tester brain waves are monitored.
2. The wireless wearable helmet system based on brain wave examination of claim 1, wherein the data in the bluetooth transmission module is as follows:
(1) An unsigned integer variable POOR_SIGNAL Quality, describing the SIGNAL measured by ThinkGear, with multiple differences; the value range is 0-200; if the value of this variable is not 0, this means that there is noise disturbance; the higher the value, the more noise; in particular, a value of 200 means that the sensor is clear of the user's head; this variable is typically transmitted once per second, indicating the signal quality of the most recent data packet; signal noise may be caused by: the MindSet earphone is not worn by a person, and the sensor is in poor contact with GND or a reference earlobe potential, or excessive movement of the Mi-sized ndSet earphone, namely moving the head or the body, causes excessive extrusion of the earphone, excessive environmental electrostatic noise, excessive electric signals or excessive human body static electricity in certain environments and excessive biological noise; under normal conditions, a certain amount of noise is unavoidable, and an algorithm exists in the electroencephalogram chip to perform inspection and correction; note that: when this variable is too large, neither Attention nor Meditation will be given;
(2) eSensTM Meters, which range from 1 to 100 for various different types of sSense variables; 40-60 are considered "neutral" under this definition, similar to "baseline"; 60-80 is considered "slightly elevated" and can be interpreted as being higher than normal, 80-100 being considered "higher", meaning that this variable is strongly indicated as being in a very high state; likewise, 20-40 represents a "less" level; and 1-20 indicate that this role is in a very weak state; the eSense variable may indicate that state 0, which is distractive, emotional agitation, or abnormal, is a particular value; this may be due to excessive noise, explaining the excessive range of variation of the variable: because the algorithm built in the TGAM module is a self-adaptive algorithm, a plurality of slower automatic adjustment processes exist, and the method is also why the TGAM module can adapt to brain wave signals of various people in a large range;
(3) An unsigned one byte long variable ATTENTION eSense, which is used to represent the degree of ATTENTION in the sSense class, such as concentration or degree of ATTENTION; the value range is 0-100; a variational, a questionable, a non-focused thinking or anxiety, all of which may reduce the level of the variable;
(4) Meditation variable MEDITATION sSense, which is an unsigned single byte length variable; it is used to report the degree of meditation in the eSense class, i.e. the level of user mental "calm" or "relaxation"; the value range is 0-100; it is noted that meditation level is an indicator of human mind, not a physical indicator, which means that directly relaxing the holy body muscles does not lead to a highly meditation state; however, in most cases, relaxation of the body is performed, contributing to relaxation of the mental state; meditation activities are reduced when the brain performs active psychological activities; through long-term observation, people find that eye closure is a method for effectively increasing meditation degree; mood disorders, absentmindedness, anxiety, emotional agitation and sensory stimuli, may reduce the level of meditation;
(5) RAW Wave Value, this variable is made up of two bytes, represent a single band brain Wave sample; the value range is-32768 to 32767; the first byte represents high-order bit data, and the second byte represents low-order bit data; in order to restore the complete original data, the first byte is shifted left by 8 bits, and then the first byte and the second byte are bitwise or;
(6) Asic_eeg_power: these variables are the current magnitudes of 8 widely accepted brain wave bands; these data are output in the form of 8 unsigned integer little endian; the 8 bands are output in the following order: delta0.5-2.75Hz, theta3.5-6.75Hz, low frequency alpha7.5-9.25Hz, high frequency alpha10-11.75, low frequency beta13-16.75Hz, high frequency beta18-29.75, low frequency gamma31-39.75Hz, intermediate frequency gamma41-49.75H; these values have no units and therefore it is only meaningful to compare the magnitudes of the values between them; when using these values, it is necessary to employ a method of comparing the number or taking into consideration time fluctuations;
(7) Blink Strength: this is an unsigned variable of one byte in length; which is used to represent the intensity of the last blink of the user; the value range is 1-255; this amount is only returned when a blink is detected; this variable represents only relative blink intensity, no units; this variable can only be obtained by TGCD and tgcaps; the TGAM module does not return the variable directly; this variable is obtained by a function already programmed: tg_getvalue status () and tg_getvalue ();
(8) Attention and meditation visualization section: after the helmet is correctly worn, the attention and meditation of the testee can be independently displayed under the condition of being separated from the upper computer; the LEDs display different colors according to the values of the attention and the meditation;
(9) The LED lamp comprises three 5050LED lamp beads, an LED substrate, phase silicone grease and radiating fins, wherein the shell is a 3d printing model, and the inside of the shell is covered with a light homogenizing sheet; 5050LED lamp beads are programmable LED lamp beads, and are connected with a singlechip by an i2c communication protocol; only two wires are needed to operate the rbg color and the on-off time of the maximum of five meters and the maximum of 500 lamp beads; the three primary colors of red, green and blue of each lamp bead are divided into 256 levels, and 16,777,216 colors can be displayed theoretically; because 80% of the energy consumption of the LED lamp is used for heating, phase silicone grease and radiating fins are added on the back side of the LED substrate for radiating the LED lamp; unnecessary trouble brought to the guardian is avoided, and the service life of the LED lamp is prolonged; in order to make the light of the lamp beads more uniform, a layer of light homogenizing sheet is arranged on the inner side of the 3d printing shell; the scattering of light is enhanced, so that the light emitted by the whole LED lamp is softer; attention and meditation may determine the color of the LED lamp at the same time; therefore, by observing the current state of the LED lamp, the mental state of the guardian can be known; the values of the attention and meditation range from 0 to 100.
3. The wireless wearable helmet system based on brain wave examination of claim 1, wherein,
the push-to-dial call module comprises a grsm call module, a microphone and a headset, and the telephone number to be dialed is burnt into the singlechip in advance, so that the telephone number can be broadcast through a button at any time; the number of dialing and the dialing object can be changed by adding buttons or modifying codes; in addition, the communication module is provided with a key function, and can answer calls coming from any user.
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