KR20060007335A - A method and device of generating adaptive brainwave inducing signals which can be changed adaptively according to physiological status - Google Patents

Abstract

The present invention relates to a biofeedback-based brain wave guide device and a method thereof, wherein the mental and physical state of the human body is first measured using various biosignal amplifiers, and the measured liver is numerically indexed using a probabilistic statistical algorithm. Based on this index value, EEG signals such as binaural beats and light stimuli suitable for the human body are variably generated, and EEG and other biological signals induced by the signals are measured and fed back in real time. The present invention provides a brain wave guide device that can be changed in real time so that the human body can be guided and maintained in an optimal brain wave state continuously and automatically.

EEG, Biofeedback

Description

A method and device of generating adaptive brainwave inducing signals which can be changed adaptively according to physiological status}

1 is an overall hardware block diagram of the present invention.

2 is a block diagram of the overall algorithm of the present invention.

Figure 3 is a block diagram showing the principle of human adaptive binaural beat sound synthesis of the present invention

<Description of the code | symbol about the principal part of drawing>

10: input unit 16: A / D converter

17 control unit 18 memory unit

19: display unit 20: output unit

22: sound output circuit 23: photo-stimulation generating circuit

24: vibration stimulation generating circuit 25: fragrance generating device

The present invention relates to an EEG-guided device, and more particularly, to a human-adaptive EEG-guided device and a method using a bio-signal using a biofeedback principle that includes a human-adaptive binaural beat and photo-stimulation .

Many existing biofeedback devices take a method of injecting irrespective of the condition of a subject to be used in a unilateral and direct manner. This is because it is used under the premise that many human physiological, psychological, and cognitive parts have individual differences, and that all human physiological, psychological, and cognitive matters are similar, similar, or the same. Both positive and negative parts are occurring.

The principle of the binaural beat sound used in the conventional commercialized EEG is that if two sound sources having frequency components that do not differ greatly from each other are heard through stereo headphones or speakers in each of the left and right ears, 'S brain does not accept these two signals as separate ones, but as a new unified signal. This new sound is called binaural beat, and there are brain waves induced corresponding to various kinds of binaural beats.

Conventional EEG-derived biofeedback devices that use binaural beats are already implemented in the device in advance, and have a differential frequency using a fixed frequency difference as a sound source and modulate it into an audible frequency band through auditory stimulation. It has been progressed to unilaterally apply to the human body. Since any user is provided in the same way without considering individual characteristics, a certain group that matches the particular binaural beat sound may have some effectiveness and effect, but a certain one-sided bino will be provided. An unspecified number of people who do not match the sound beat source may have no effect or sometimes serious side effects.

Since human brain waves are far more complex than human fingerprints, and the scope of their interpretation is still narrow, specific or unilateral injection approaches can cause significant concerns.

Many biofeedback devices that are commercially manufactured under the premise that they can induce brain waves and have effects of learning, relaxation, and sleep induction have fundamental problems as described above, and the binaural beat selected for the purpose of inducing brain waves The principle of sound and photostimulation biofeedback can, in some cases, cause serious mental disorders. In particular, when epileptic seizures or brain nervous systems are sensitive and the brain itself is impaired, specific or substantive criteria of the subject cannot be determined, and if one-sided binaural beat or photostimulation is provided to the human body in some cases, There is a lot of risks, and biofeedback devices that have been indiscriminately distributed to non-hospital users to date are potentially ecologically dangerous.

An object of the present invention devised to solve the conventional problems as described above is to first measure the mental and physical state of the human body using a variety of bio-signal amplifier, and to make the measured value into a numerical index through a probabilistic statistical algorithm Based on this index value, EEG-induced stimulus signals such as binaural beats and light stimuli suitable for the human body are variably generated, and EEG and other biological signals induced by the signals are measured and fed back in real time. An object of the present invention is to provide an EEG-induced stimulus signaling device or EEG-induced biofeedback device that can be varied in real time so that the human body can continuously and automatically induce and maintain an optimal EEG state.

EEG using the bio-signal of the present invention for achieving the above object is composed of an analog circuit input unit for measuring the bio-signal, A / D converter for converting the analog signal to a digital signal, and controls the whole system A control unit, a memory unit for storing measured biosignal data, a display unit for displaying measured data values, an analysis result and a state, and an output unit for outputting the processed data. .

In addition, the EEG method using a bio-signal of the present invention for achieving the above object is the first step of extracting the feature point through the digital filtering of the bio-signal, and classifying, integrating, Analyze the second step of storing the individual body information in the database by calculating the overall physiological index, and synthesize the information stored in the database and the bio signals continuously measured through the biofeedback system. And a third step of inducing an EEG by varying the binaural beat to a differential frequency.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

Figure 1 shows the overall hardware block diagram of the present invention.

Referring to FIG. 2, first, in order to measure a mental, physical, and physiological state of a human body, measurement of various biological signals is required. The EEG of the present invention is composed of EEG, EKG, EMG, body temperature, skin resistance detection analog circuit (11, 12, 13, 14, 15) that can measure EEG, electrocardiogram, electrocardiogram, body temperature, skin resistance, etc., respectively. Input unit 10, A / D converter 16 for converting analog signals into digital signals, control unit 17 for controlling the whole system, memory unit 18 for storing data, and measured data values The display unit 19 for displaying and analyzing the results and various other states, and converts the binaural beat synthesized by the control unit 17 into a signal of an audible frequency band (20 Hz to 20 kHs) to generate a speaker or earphone. Sound stimulation circuit 22 for outputting the sound, the optical stimulus generating circuit 23 for converting the data processed by the controller 17 to the optical stimulus, and the vibration stimulus for converting the vibration stimulus signal generated by the controller 17 into physical vibration. Generating circuit 24, aroma And enemy flavor-generating device 25, and EMG evoked potentials (Evoked Potential) evoked potentials (Evoked Potential) generating circuit output unit 20 consisting of 21 to measure the burning is composed.

Figure 2 shows the overall algorithm block diagram of the present invention.

Referring to FIG. 2, first, a digitally-converted brain wave (EEG) 11 signal is classified (30) by frequency band (delta, theta, alpha, beta, gamma) in the digital filtering unit, and the classified frequency band signal Calculate the EEG feature point 41 representing the consciousness, emotion, concentration, arousal state, relaxation degree of the human body.

In addition, a feature point such as cognitive ability, cognitive speed, left-right brain activity, workload, etc. may be calculated 42 using the Event Related Potential 32 of the EEG 11.

In the case of ECG (EKG), the digital filtering unit uses the R wave interval, the QRS complex, the amplitude of the P wave, the sharpness, the duration, and the T wave. Amplitude, kurtness, duration, S wave-T wave part (ST segment), P wave-R wave part (PR segment), and the like are extracted 33. Using the extracted data, physiological parameter features that reflect physical characteristics such as left atrium, right atrium, and hypertrophy of each ventricle, myocardial ischemia, myocardial infarction, hypo-hypokalemia, hypo-hypercalcemia, and arrhythmia ( 43).

In the case of electromyography (EMG) 13, the Evoked Potential is measured (34) to calculate physical stress relaxation degree, stress index, etc. to obtain the feature point (44).

In the case of the body temperature 14 and the skin resistance 15, the measured body temperature and skin resistance data are primarily digitally filtered to calculate characteristic points such as psychological stability, anxiety, and stress.

The feature points 41, 42, 43, and 44 extracted through the EEG, EKG, EMG, body temperature, and skin resistance are again analyzed, classified, combined, and integrated in a probabilistic statistical method. (Real Time) shows the overall fluid and mental state (45) classified into several types, including deep sleep, shallow sleep, relaxation, meditation, concentration, awakening, and tension. Calculate the Reflecting Physiological Index.

Human information such as personalized feature points, diagnostic matters, and physical indexes, which are classified, is made into a database, stored in the memory 18, and processed 40.

3 is a block diagram showing the principle of the human-adaptive binaural beat sound synthesis according to the present invention, and shows an algorithm 50 for synthesizing the binaural beat sound by the auditory stimulus method. Based on the clinical results that a particular brain wave tends to predominantly prevail when the human body is at rest and stability, the user's desired biometric value (51) is different from the alpha wave. When an EEG region is a physical or psychological state that can appear in an induced state, it is not necessary to provide a binaural bit that unconditionally derives the specific EEG state in order to make it into the state of the EEG to be induced. 18) compares the previously stored value 52 stored in the human body 55 with the physiological index value 51 calculated by the current human body 55 to make a differential frequency 53 to compensate for the difference. The binaural beat (54) converts the signal to an audible frequency band (20 Hz to 20 kHz) to convert the speakers or earphones of the sound output circuit (11). It stimulates the hearing. For example, if the biosignal measurement and analysis indicate that the Physiological Index is in tension, the differential frequency is automatically calculated by the algorithm to induce tension relaxation, which is then modulated and demodulated to an audible frequency band to Through the EEG induction device or biofeedback device is delivered to the user. Here, instead of the differential frequency, phase or voltage differential may be used or used in combination.

If the user who is relaxed according to the binaural beat is determined to be in a condition that this time, the user is too relaxed to fall to sleep, this time, the algorithm 50 automatically detects this and slightly tensions it. The differential frequency 53, which can be induced by the state, is calculated and synthesized by the binaural beat tone 54, and is put back into the human body as an audible frequency signal. In other words, by changing the binaural beats 54 automatically in real time according to the state of the human body, the mental and physical state of the human body can be always made optimal.

The same can be applied to other brain wave induced stimuli such as light stimulation, vibration stimulation, and fragrance stimulation. That is, the frequency used for the optical stimulation can be varied according to the bio-index value, the brightness of the light can be varied, and the vibration frequency, the vibration intensity, and the type of fragrance can be changed according to the state of the human body.

With the calculated Physiological Index, the EEG-induced signal is synthesized and applied to the human body in a direction to increase the EEG state determined to be insufficient by the user who is currently using EEG or biofeedback equipment. Synthesizes EEG-induced signals that can induce EEG in the direction of reducing the EEG state and converts them into various direct or indirect human stimulation signals such as auditory stimulation, light stimulation, and vibration stimulation and provides them to the human body. .

As a human stimulus signal applied to the human body to induce an EEG, a signal that can be stimulated directly or indirectly through the human body through a sensory sensory (audible, visual, tactile, olfactory, etc.) that can be perceived by humans. In other words, use a sound stimulus, an optical stimulus, a vibration stimulus, or an aroma stimulus, but it is not a stimulus that cannot be designated and changed in advance, but is positive or negative according to a physiological index value. This creates a stimulus signal that can be adapted to the human body.

As described above, the present invention is suitable for individual user characteristics, and the various conditions of the human body have been utilized as a means of biofeedback training based on the indicators measured, analyzed, classified, and classified in various ways ( Indirect stimuli using visual, auditory, olfactory, taste, and tactile senses (ie, auditory stimuli, optical stimuli, and other vibrational stimuli) can be varied in real time. Compensation for side effects and problems caused by the hamyeo has the advantage that can be carried out biofeedback training in the most suitable state.

Claims (15)

In the EEG using a bio-signal, An input unit configured of an analog circuit to measure a biological signal, An A / D converter that converts analog signals into digital signals, A control unit for controlling the whole system, A memory unit for storing the measured biosignal data; And a display unit for displaying the measured data value and displaying the analyzed result and status, and an output unit for outputting the data processed by the controller. The method of claim 1, The biosignal is EEG, electrocardiogram, electromyogram, body temperature, skin resistance EEG, characterized in that the skin resistance. The method of claim 1, And the output unit generates an auditory stimulus, a photostimulus, a vibratory stimulus, an aroma stimulus, and an induced potential. In the EEG method using a biological signal, Calculating a feature point through digital filtering of the biosignal; A second step of classifying, integrating, and analyzing the calculated feature point data to calculate an overall physiological index and storing individual human body information in a database; Comprising a third step of comparing the biometric information stored in the database and the bio-signal continuously measured by the EEG guide device to induce the EEG by varying the differential frequency of the binaural beat sound according to the difference EEG guidance. The method of claim 4, wherein The biological signal is EEG, electrocardiogram, electromyogram, body temperature, skin resistance EEG method characterized in that the skin resistance. The method of claim 4, wherein In the digital filtering, the EEG signals are classified into band-specific frequencies (delta, theta, alpha, beta, gamma). The method of claim 6, The feature point is EEG guide method, characterized in that to calculate the consciousness, emotion, concentration, arousal state, degree of relaxation of the human body. The method of claim 4, wherein EEG method, characterized in that for extracting the EEG signal as Event Related Potential in the digital filtering. The method of claim 8, The feature point is EEG method, characterized in that for calculating the cognitive ability, cognitive speed, left-right brain activity, workload. The method of claim 4, wherein In the digital filtering, the ECG signal is divided into an R wave interval, an QRS complex, an amplitude and kurtness, a duration, a duration, and an amplitude of the T wave. Electroencephalography method characterized in that it is extracted into the sharpness (Duration), S wave-T wave portion (ST Segment), P wave-R wave portion (PR Segment). The method of claim 10, The characteristic point is the left atrium, right atrium, ventricular hypertrophy, myocardial ischemia, myocardial infarction, low-hypokalemia, low-hypercalcemia, arrhythmia, characterized in that for calculating arrhythmias. The method of claim 4, wherein EEG method, characterized in that for extracting the EMG signal as the induced potential in the digital filtering (Evoked Potential). The method of claim 12, The characteristic point is the EEG method, characterized in that to calculate the physical stress relaxation degree, the stress index. The method of claim 4, wherein The Pysiological Index is a brain wave guide method characterized in that it is classified into a deep sleep state, a shallow sleep state, a relaxation state, a meditation state, a concentrated state, an awake state, a tension state. The method of claim 4, wherein The third step of inducing the brain wave EEG method, characterized in that by stimulating the auditory, light, vibration, fragrance, induced potential.

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