KR20040081627A - Self training system for improving a remembrance - Google Patents

Abstract

PURPOSE: A system for training self-increase of memory is provided to measure a brain wave of a mobile communication terminal user by using a portable brain wave measuring instrument, and supply neurofeedback information to the mobile communication terminal, thereby repeatedly performing the training for controlling brain activity of the user. CONSTITUTION: A system for training self-increase of memory includes a main body(300) of a mobile communication terminal and a battery pack(200) combinative with the main body(300). The battery pack(200) includes a data interface(210) for interfacing data with a brain wave measuring unit(100), a main body interface(230) for interfacing data with the main body(300), and a pack control unit(220) calculating power by brain wave signals from the brain wave sensed data and outputting neurofeedback information. The main body(300) of the mobile communication terminal includes an external interface(310) for interfacing data with the main body interface(230), and a control unit(320) for outputting brain wave measurement guide information through a user interface(330), transmitting a brain wave measurement starting command to the battery pack(200), and outputting/controlling the neurofeedback information through the user interface(330).

Description

Remembrance Self Enhancement Training System {SELF TRAINING SYSTEM FOR IMPROVING A REMEMBRANCE}

The present invention relates to a memorization self-improvement training system through EEG, and more particularly, to a system capable of training for memorization enhancement by controlling brain activity while watching one's EEG changes through a portable communication terminal.

EEG is measured on the human scalp and is a biosignal that reflects human consciousness as a wavelength with a potential difference of several tens of microvolts and a frequency below 30 Hz. These EEG signals can be classified according to frequency as α, β, θ, δ. Among the EEG signals that can be classified by frequency, the α wave is a brain wave with a frequency of 8-13 Hz and is clearly seen in a mentally stable state with eyes closed. And β wave is a brain wave with a frequency of more than 13Hz appears during mental activity or when nervous. On the other hand, the θ wave is a brain wave with a frequency of 4-8 Hz, which is most often found in an emotionally unstable state or distraction, which is often found in adolescents with learning disabilities. Finally, the δ wave is a brain wave with a frequency of 0.5 to 4 Hz, which is typical in normal sleep and also mainly in infants.

Among the EEG signals described above, the EEG in the α wave region is known to be psychologically stable and to increase concentration. Therefore, studies to adjust the EEG to increase the alpha wave appearance ratio have been conducted.

The use of α waves for neurofeedback has been known since the 1960s, and various devices supporting this theory have been developed. Examples of such devices include products developed and released by Waveride, EEG Spectrum, Procom Biograph, Brain Center, and Biofeedback, Inc. in the United States. A desktop neurofeedback device that can be used in connection with a personal PC is provided.

Meanwhile, a team at the Imperial College London recently published a report in the International Journal of Psychophysiology, saying, “Using neurofeedback technology, which attaches a sensor to the scalp to display human brain waves on a computer screen, corrects brain activity to improve memory. I can make it happen. " According to the paper, training to control brain activity by watching one's brainwave changes on a computer screen can improve memory by about 10%.

According to the above example paper, the computer screen can be used to train oneself to improve his / her memory, but most of the neurofeedback devices introduced at present are required to use a personal computer or as a medical device in a medical institution. There is a disadvantage that it is being operated.

Therefore, it is urgently required to develop a training system that can enhance one's memory without having a personal computer, and can also carry out his / her own memory without visiting a medical institution.

Accordingly, an object of the present invention is to provide a memory system self-improvement training system that can train the memory to increase the memory by displaying the EEG signal on the display window of the portable communication terminal that is already widely spread,

Furthermore, the present invention is to provide a training system using a portable communication terminal that can output the information for controlling the brain activity to train the memorization enhancement.

1 is a block diagram of a memorization self-improvement training system according to an embodiment of the present invention.

Figure 2 is a detailed configuration of the memory system self-enhancing training system consisting of the brain wave measurement unit 100, the battery pack 200 and the mobile phone main body 300 according to an embodiment of the present invention.

Figure 3 is a detailed configuration of the memory system self-improvement training system consisting of the brain wave measurement unit 100 and the mobile phone main body 300 according to another embodiment of the present invention.

Memorization self-improvement training system according to an embodiment of the present invention for achieving the above object includes a portable communication terminal body and a battery pack coupled to the terminal body,

The battery pack is:

A data interface unit for data interface with the EEG measuring unit;

A main body interface unit for data interfacing with the terminal main body;

And a pack controller configured to calculate power for each EEG signal from the EEG detection data received through the data interface unit, and output neurofeedback information according thereto.

The terminal body having a wireless unit and a user interface unit includes:

An external interface for transmitting and receiving data with the main body interface;

A control unit for outputting EEG measurement guide information through the user interface unit, transmitting an EEG measurement start command to the battery pack according to a user command, and outputting and controlling neurofeedback information transmitted from the battery pack through a user interface unit; It is characterized by.

Furthermore, the EEG measurement unit, EEG detection unit including electrodes for converting and outputting the bio-signal according to the brain activity into an electrical EEG signal;

A signal processor which removes noise from the level-amplified EEG signal and outputs it as digital EEG detection data;

And a battery pack interface unit for processing the brain wave detection data according to an interface method and outputting the brain wave detection data to the battery pack.

According to the above-described configuration of the present invention, the EEG detection data measured through the EEG measuring unit is processed into a displayable data in the battery pack and then delivered to the terminal body, the terminal user to change his EEG through the display window of the terminal body Looking at it will be able to perform training to obtain the desired brain waveform.

According to another embodiment of the present invention, the memorization self-improvement training system may be composed of only the EEG measuring unit and the portable communication terminal body, wherein the EEG measuring unit:

An electroencephalogram detector comprising electrodes for converting and outputting a biosignal according to brain activity into an electrical electroencephalogram signal;

A signal processor which removes noise from the level-amplified EEG signal and outputs it as digital EEG detection data;

And a main body interface unit processing the brain wave detection data according to an interface method and transmitting the processed brain wave data to the portable communication terminal.

The communication terminal having a wireless unit and a user interface unit includes:

An external interface for transmitting and receiving data with the main body interface;

And a controller for outputting EEG measurement guide information through the user interface unit, calculating power for each EEG signal from EEG detection data transmitted from the EEG measuring unit, and controlling and controlling neurofeedback information through the user interface unit. It features.

In still another embodiment of the present invention, since the EEG detection data measured through the EEG measuring unit is processed into displayable data in the main body of the portable communication terminal and then output through the display window, the terminal user himself is displayed through the display window of the terminal body By watching the EEG changes, you will be able to perform training to obtain the desired EEG waveforms.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

1 is a block diagram of a memorization self-improvement training system according to an embodiment of the present invention. Basically, the memorization self-enhancing training system detects and outputs a biosignal, ie, an EEG signal, according to brain activity of a subject to be measured. EEG measuring unit 100 and a portable communication terminal (200, 300) that can calculate the power for each EEG signal from the EEG detection data transmitted from the EEG measurement unit 100 and output the neurofeedback information accordingly have. According to a system design scheme, the portable communication terminal main body 300 may directly transmit / receive data with the EEG measuring unit 100, and may transmit / receive data with the EEG measuring unit 100 through the battery pack 200. For reference, the neurofeedback information may simply be the power waveform and spectrum of the brain wave displayed on the display window, and in some cases, may further include voice information for changing the displayed brain wave.

Hereinafter, with reference to the configuration of the EEG measuring unit 100, the battery pack 200, and the portable communication terminal main body 300 that can interface with the battery pack 200, the configuration of the memory system self-improvement training system according to an embodiment of the present invention And operation will be described.

Figure 2 shows a detailed configuration of the memory system self-enhancing training system consisting of the brain wave measurement unit 100, the battery pack 200 and the mobile phone main body 300 according to an embodiment of the present invention.

First, as illustrated in FIG. 2, the EEG measuring unit 100 for detecting and outputting an EEG signal of a subject to be measured basically has an EEG detecting unit 110, a signal processing unit 120, and a Bluetooth module 130 as a battery pack interface unit. ).

Referring to FIG. 2, the EEG detecting unit 110 includes electrodes converting and outputting a biosignal according to brain activity into an electric EEG signal. These electrodes 102 may be mounted at predetermined positions of the headband 101 shown in FIG. 1 to measure brain waves in the frontal lobe, and the number thereof may also be separated.

The signal processor 120 performs a role of level-amplifying the EEG signal output from the EEG detector 110 and removing the noise and outputting the EEG signal as digital EEG detection data. To this end, the signal processor 120 includes an EEG amplification and filtering unit and an A / D converter. To amplify the EEG signal, a low noise measurement amplifier may be used, and the band may be limited to 0.04 to 35 Hz to suppress the noise contained in the EEG signal.

The battery pack interface unit processes the brain wave detection data and outputs the brain wave data to the battery pack 200 according to an interface method. As the battery pack interface unit, a wireless communication unit such as the Bluetooth module 130 may be used as an example, or a wired communication unit such as an RS-232C type connector or a USB port may be used as an example. If the brain wave measuring unit 100 and the battery pack 200 are connected to each other through a USB cable, the power supply unit in the brain wave measuring unit 100 will not be required. This is because 500 mA of power can be supplied to the EEG measuring unit 100 by the USB cable.

On the other hand, the battery pack 200 for generating neurofeedback information by processing the EEG detection data transmitted from the EEG measurement unit 100 having the above configuration basically includes battery cells. The voltage level charged in the battery cells is basically used to supply the operating power of the combineable cellular phone main body 300. In some cases, operating power may be supplied to the EEG measuring unit 100.

The battery pack 200 including the battery cells further includes a data interface unit 210 for transmitting and receiving data with the battery pack interface unit 130 of the brain wave measuring unit 100. The data interface unit 210 of the battery pack 200 may also use a Bluetooth module, a USB port, or an RS-232C connector in accordance with the interface unit 130 of the brain wave measurement unit 100.

In addition, the battery pack 200 further includes a pack control unit 220 for controlling the overall operation of the battery pack 200. The pack control unit 220 calculates power for each EEG signal from the EEG detection data received through the Bluetooth module 210 as a data interface unit, and outputs the neurofeedback information to the cellular phone main body 300. As an example of a method for calculating the power for each EEG signal, first, since the EEG signal is one of α, β, θ, and δ waves as described above, the pack controller 220 analyzes the power spectrum of the received EEG detection data to analyze the EEG spectrum. The total power of may be calculated, and then the spectral power ratio of the desired brain wave signal (α wave) to the total power of the spectrum may be calculated. In the EEG spectrum, total power refers to the sum of all components of the spectral power from 0.04 to 35 Hz. Since the present invention is intended to enhance the memorization force, it is assumed that the pack controller 220 calculates the power of the α wave in the EEG signal.

As described above, when the power for each EEG signal is calculated, the pack control unit 220 outputs neurofeedback information according to the power for each EEG signal to the mobile phone main body 300. In this case, the neurofeedback information is simply the power waveform and spectrum information of the EEG. In some cases, it may include predetermined scene association information for inducing a subject to be measured into a stable state of consciousness. In this case, the comment information reminiscent of a predetermined scene may be implemented through the provision of a voice memory controlled by the pack controller 220.

Meanwhile, the neurofeedback information output by the pack controller 220 is transmitted to the mobile phone main body 300 through the main body interface unit 230, and the EEG measurement start command from the mobile phone main body 300 is also received from the external interface unit 310. And it is delivered to the pack control unit 220 through the main body interface 230. For reference, data communication between the battery pack 200 and the mobile phone main body 300 may perform power line communication using power output terminals formed in the battery pack 200 and the main body 300, respectively. Communication terminals may be formed in the battery pack 200 and the main body 300 to perform data communication.

Finally, the configuration of the mobile phone main body 300 that receives the neurofeedback information from the battery pack 200 and outputs it through the user I / F unit 330, that is, the display window, first, the wireless unit 340 is a control unit ( Modulation and frequency conversion of the voice or data under the control of 320 transmits it as a wireless signal through the antenna ANT, and separates signals other than voice data from the wireless signal received through the antenna ANT and converts them into frequency. And demodulate and transmit the demodulated data to the control unit 320.

The voice processor 350 digitally processes the voice input through the microphone MIC under the control of the controller 320, transmits the voice signal to the wireless unit 340, and demodulates the voice data received through the wireless unit 340. Output via (SPK). The voice processor 350 may process the voice signal and output the voice signal when the voice feedback information is included in the neurofeedback information. In this case, the voice information source may be the battery pack 200 or the controller 320 of the mobile phone main body 300.

The controller 320 outputs EEG measurement guide information through the user I / F unit 330 and transmits an EEG measurement start command to the battery pack 200 according to a user command, and through the battery pack 200. The transmitted neurofeedback information is output controlled through the user I / F unit 330 (and the voice processing unit 350).

The external I / F unit 310 is combined with the main body I / F unit 230 to perform data transmission and reception between the battery pack 200 and the main body 300. Although not shown, the cellular phone main body having such a configuration includes a system control program data and a memory in which a plurality of application programs are stored. In addition, the user I / F unit 330 may input or select an EEG measurement start command including a display unit and a keypad, and display an EEG waveform and power spectrum as neurofeedback information.

Referring to the operation of the memorization self-improvement training system having the above-described configuration,

First, the subject to be measured gives an EEG command through the user I / F unit 330 of the mobile phone main body 300 after wearing the headband shown in FIG. 1. In this case, the controller 320 of the mobile phone main body 300 checks a key input and checks whether a specific additional function is selected. The list for selecting the additional function is also made by a designated key input. The user can select an electroencephalogram (or memorization self training) from the list of additional functions.

If there is an EEG measurement request from the user, the main body controller 320 recognizes this and transmits an EEG measurement start command to the battery pack 200 in response thereto. If there is a selection of additional functions other than the EEG request, the controller 320 may execute a routine for processing an input request.

Meanwhile, the pack controller 220 of the battery pack 200 receiving the EEG measurement start command transmits an EEG measurement start command to the EEG measurement unit 100 through the Bluetooth module 210. Before the transmission of the EEG command, the connection setting between the Bluetooth should be made. When the EEG measurement start command is transmitted from the battery pack 200 to the EEG measuring unit 100, the Bluetooth module 130 of the EEG measuring unit 100 inputs EEG detection data processed by the signal processing unit 120. By wireless transmission to the battery pack 200.

Meanwhile, the pack control unit 220 of the battery pack 200 that transmits the EEG measurement command receives the EEG detection signal in a digital form through the Bluetooth module 210. And by analyzing the power spectrum from the received EEG detection signal to calculate the total power of the EEG spectrum, and then calculates the spectral power ratio of the α wave to the total power of the spectrum, the pack control unit 220 corresponding to the calculated power ratio A / V-shaped neurofeedback information can be output. As described above, the A / V type neurofeedback information output from the pack control unit 220 is transmitted to the mobile phone main body 300 through the main body I / F 230, so that the control unit 320 of the main body 300 receives the external I / V. The A / V type neurofeedback information is received through the F unit 310 to improve the memorization force, and the received neurofeedback information is controlled by the control unit 320 on the display window of the user I / F unit 330. The output is in the form of a waveform or power spectrum.

Accordingly, the target subject performs training to control brain activity by watching his brainwave waveform displayed on the display window of the portable communication terminal, and as a result, he learns how to increase his own memorization by repeating brain activity control training. Will be able to master. In some cases, when the calculated spectral power ratio of α wave is lower than a predetermined reference value, the system outputs associative comment to increase the neurofeedback information so that the subject under test hears the voice output and associates a predetermined scene. You can also improve your own memorization through training.

In the above description of the memorization self-improvement training system consisting of the brain wave measurement unit 100, the battery pack 200 and the mobile phone main body 300, the battery pack simply supplies only the operating power of the terminal function as shown in FIG. As described above, the system may be constructed using only the EEG measuring unit 100 and the mobile phone main body 300.

Referring to FIG. 3, the EEG measuring unit 100 includes an EEG detecting unit 110, a signal processing unit 120, and a main body I / F unit 140. The main body I / F unit 140 performs data transmission / reception with the external I / F unit 310 of the mobile phone main body 300. The main body I / F 140 may also adopt any one of USB and RS-232C methods.

Meanwhile, the mobile phone main body 300 may be identical to the general mobile phone configuration described with reference to FIG. 2. However, the control unit 320 of the mobile phone main body 300 calculates the total power of the EEG spectrum by analyzing the power spectrum from the EEG detection signal transmitted from the EEG measuring unit 100, and calculates the spectral power ratio of α wave to the total power of the spectrum. After the calculation, outputting the A / V-type neurofeedback information may be differentiated from that of the main body controller 320 shown in FIG. 2.

The operation of the memorization self-improvement training system having the above-described configuration may also be similar to that of the system according to the first embodiment. That is, if there is an EEG measurement request from the user, the control unit 320 of the main body receives the EEG detection data transmitted from the EEG measurement unit 100. And by analyzing the power spectrum from the received EEG detection signal to calculate the total power of the EEG spectrum, and then calculates the spectral power ratio of the α wave to the total power of the spectrum, the main body controller 320 is A / corresponding to the calculated power ratio The V-type neurofeedback information is output in the form of an EEG waveform or a power spectrum on a display window of the user I / F unit 330.

Accordingly, the target subject performs training to control brain activity by watching his brainwave waveform displayed on the display window of the portable communication terminal, and as a result, he learns how to increase his own memorization by repeating brain activity control training. Will be able to master.

As described above, according to the present invention, a terminal user measures an EEG using a portable EEG and receives neurofeedback information related to the measured EEG waveform through his / her portable communication terminal. There is an advantage of self-improvement of memorization by repeating training to control activities.

Claims (5)

In the memory self-enhancing training system comprising a portable communication terminal and a battery pack coupled to the terminal, The battery pack is: A data interface unit for data interface with the EEG measuring unit; A main body interface unit for data interfacing with the terminal main body; And a pack controller configured to calculate power for each EEG signal from the EEG detection data received through the data interface unit and to output corresponding neurofeedback information to the terminal. The terminal body having a wireless unit and a user interface unit includes: An external interface for transmitting and receiving data with the main body interface; A control unit for outputting EEG measurement guide information through the user interface unit, transmitting an EEG measurement start command to the battery pack according to a user command, and outputting and controlling neurofeedback information transmitted from the battery pack through a user interface unit; Memorization self-improvement training system characterized in that. The method according to claim 1, The brain wave measuring unit; An electroencephalogram detector comprising electrodes for converting and outputting a biosignal according to brain activity into an electrical electroencephalogram signal; A signal processor which removes noise from the level-amplified EEG signal and outputs it as digital EEG detection data; And a battery pack interface unit for processing the brain wave detection data according to an interface method and outputting the brain pack data to the battery pack. The system of claim 2, wherein the battery pack interface unit employs any one of USB, RS-232C, and Bluetooth modules. In the memory self-improvement training system comprising a portable communication terminal capable of data communication with the brain wave measuring unit, The brain wave measuring unit: An electroencephalogram detector comprising electrodes for converting and outputting a biosignal according to brain activity into an electrical electroencephalogram signal; A signal processor which removes noise from the level-amplified EEG signal and outputs it as digital EEG detection data; And a main body interface unit processing the brain wave detection data according to an interface method and transmitting the processed brain wave data to the portable communication terminal. The communication terminal having a wireless unit and a user interface unit includes: An external interface for transmitting and receiving data with the main body interface; Output EEG measurement guide information through the user interface unit, in response to the EEG measurement command to calculate the power for each EEG signal from the EEG detection data transmitted from the EEG measurement unit and calculates the feedback information according to the output through the user interface unit Memorizing self-improvement training system comprising a control unit for controlling. The memory system of claim 4, wherein the interface unit employs any one of USB and RS-232C communication methods.