CN201060561Y - Biofeedback mental state regulation and auxiliary learning machine - Google Patents
Biofeedback mental state regulation and auxiliary learning machine Download PDFInfo
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- CN201060561Y CN201060561Y CNU2007201512498U CN200720151249U CN201060561Y CN 201060561 Y CN201060561 Y CN 201060561Y CN U2007201512498 U CNU2007201512498 U CN U2007201512498U CN 200720151249 U CN200720151249 U CN 200720151249U CN 201060561 Y CN201060561 Y CN 201060561Y
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Abstract
The utility model discloses a biofeedback spiritual status adjusting and auxiliary learning machine which includes two parts, i.e. a computer host part and a data collecting and stimulation output part, wherein, the data collecting and stimulation output part mainly comprises a single chip computer unit, an electrocardiogram amplifier, an electrocardiogram amplifier, a nerve stimulator, a light output stimulator, a communication unit and a LCD unit. The output end of a pulse electric stimulator is connected with a human surface electrode. The output end of the light output stimulator is connected with a blinder with a light emitter. The audio output end of the computer host is connected with a pair of earphones for phonetically outputting the learning content. The utility model has the advantage and positive effect that taking the brain wave bispectrum index and heart rate variability as feedback indexes, the computer imposes vocal, optical, electric and pressure stimulations to the human body, thus, people, under the coaction of self psychological effect and external stimulation, have the spirit and the consciousness to reach certain status so as to achieve the aim of controlling study actively.
Description
Technical field
The utility model relates to a kind of assisted learning instrument, particularly relate to a kind of with brain electricity bispectrum index, heart rate variability sex index as the feedback index, and applied sound, light, electricity, gaseous tension and stimulate and carry out the artistic conception traction, thereby reach the instrument of active results of learning.
Background technology
At present, many education of China all are in foundation phase, and basic education is a repetition, dull process basically.The aggravation of social competition's pressure makes people have to spend a large amount of energy in study, comprises student and adult.Through a large amount of statistical study, all reach a conclusion in the home and abroad, and the people is when notice is the most concentrated, and his learning efficiency is the highest.It is a kind of state of brain that notice is concentrated, and shows the different manifestations on the brain function, and foreign study shows; the people is under sedation; notice is the most concentrated moment, show the people before sleeping and the thinking after just awake very active, a lot of creationary thinkings all are to carve generation at this moment; utilize the brain function traction technique; by biofeedback, induce brain to enter sedation, improve learning efficiency; particularly need the study of the knowledge remembered, have help.Along with development of science and technology, human collection to bioelectrical signals, research and application are more and more ripe, utilize the spiritual loose inductive technology of biofeedback technology also to obtain using widely.As the feedback index, under computer control, apply multiple stimulation with brain electricity bispectrum exponential sum heart rate variability sex index, reach and regulate brain artistic conception, the purpose that improves learning efficiency.
Brain electricity bispectrum (BIS) is analyzed as one of analytical approach of brain power, combine electroencephalogram medium frequency, power, the position reaches characteristics such as harmonic wave mutually, comprise more original electroencephalogram information, can react brain cortical tissue's situation rapidly, be considered to assess the objective indicator of state of consciousness.Characteristics and influence factor that heart rate variability sex index (HRV) takes place: normal person's cardiac electrical activity is subjected to the influence of autonomic nerve, humoral factor, psychological factor and external environment factor.As run into external environment sudden change, and stress, during mood change, sympathetic activation, catecholamine raises in the circulation blood, and heart sinoatrial node self-disciplining speeds, and conduction is strengthened, and just heart rate speeds, electrocardiographic recorder arrives R-R interval, shorten; Otherwise, have a rest or sleep state under during vagal excitation, the sinoatrial node self-disciplining reduces, the chamber delayed conduction, decreased heart rate, the R-R interval, prolong.No matter neurotransmitter concentration all presents tangible circadian rhythm change in autonomic nervous activity or the body fluid.
Summary of the invention
The purpose of this utility model provides a kind of biofeedback state of mind and regulates and assistant learning machine, to solve by biofeedback, induces brain to enter sedation, the problem that improves learning efficiency.
The utility model realizes that the technical scheme of above-mentioned purpose is as follows: it comprises main frame, data acquisition and stimulates two parts of output; Data acquisition and stimulation output mainly comprise one-chip computer unit, eeg amplifier, ecg amplifier, nerve stimulator, light output stimulator, communication unit and liquid crystal display; The input termination of eeg amplifier, ecg amplifier anthropological measuring electrode separately wherein, output terminal is connected with assistant SCM by the A/D change-over circuit; Assistant SCM by communication unit with comprise brain electricity bispectrum and handle and be connected with the main frame of heart rate variability software for calculation; Described electric-impulse stimulation device, pulsed light output stimulator are connected with the control output end of assistant SCM, and the output terminal of electric-impulse stimulation device is connected to a human body surface electrode, and the output termination of light output stimulator has the eyeshade of illuminator; The audio output of main frame connects learning content voice output earphone, and main frame is connected with the multimedia learning content display.
The aforesaid a kind of biofeedback state of mind is regulated and assistant learning machine, and described egersimeter comprises isolation, power amplification, the constant-current control circuit unit of the pulsating wave that processing is sent by assistant SCM.
The aforesaid a kind of biofeedback state of mind is regulated and assistant learning machine, and described photic stimulator comprises power amplification, the shaping circuit unit of the pulsating wave that processing is sent by assistant SCM, and described illuminator has the light-emitting device of different colours.
Aforesaid a kind of biofeedback state of mind is regulated and assistant learning machine, and described communication unit adopts wired and wireless dual mode, by RS232 standard interface or wave point and principal computer communication.
Aforesaid a kind of biofeedback state of mind is regulated and assistant learning machine, and the control output end of described main frame is connected with the air pump working control circuit, and described air pump is connected on the air bag air feed gas circuit of human body shank periphery.
The utlity model has following advantage and good effect:
The utility model passes through brain electricity bispectrum exponential sum heart rate variability sex index as the feedback index, computer control puts on human body sound, light, electricity, Pressure stimulation, under autonomous psychological application and environmental stimuli acting in conjunction, make people's spirit and consciousness reach particular state, send in requisition for the learning content of memory by computer control again, realize the machine of ACTIVE CONTROL study.This machine belongs to the intelligent learning machine, the characteristics of learning machine break traditions, it is a kind of trial that biofeedback technology is applied to people's learning ability aspect, the study that makes the people from uninteresting, repetition, passive develop into enjoyment, initiatively, the intelligentized stage, there is the selection health on order ground to be under the optimum condition and begins learning process, raising the efficiency greatly, is that a kind of change of mode of learning is attempted, and all can play a positive role to people itself and society.
Description of drawings
Fig. 1 is a schematic block circuit diagram of the present utility model.
Embodiment
The utility model comprises two parts, main frame, data acquisition and stimulation output.Main frame is as system centre, accept the numerical information----brain that data acquisition box sends, ecg wave form and blood pressure values, calculate in real time, obtain feedback data, show the present residing state of mind of human body in the motion graphics mode, simultaneously, utilize multimedia technology, according to the difference of feedback data control background music with send the prospect language and induce, be applied in patient's auditory system by earphone, electro photoluminescence and light stimulus instruction is sent in while and data acquisition box communication, is applied the electricity and the light stimulus of varying strength and frequency by eyeshade and human body surface electrode pair patient by data acquisition and stimulation output cassette.
The effect of data acquisition and stimulation output cassette is the collection of control vital sign, brain electricity, electrocardio, show basic waveform by liquid crystal display, send data to principal computer by standard RS-232 interface or metadata cache is used it for anything else in memory chip in addition with real-time mode, accept principal computer instruction control egersimeter and photic stimulator simultaneously and send stimulation energy to human body, be that human body itself is understood self state of mind degree, reach the purpose of treatment.
The principal computer employing of the system common computer of various models is in the market born, and possesses real-time processing, sound, demonstration and ability to communicate.The application systems software bag is installed on computers, the software for calculation that comprises that brain electricity bispectrum is handled and heart rate becomes different (by the logical company development of easy Feihua, Beijing and the software engineering of producing, being used in existing Anesthesia machine) and control screen display, voice output, data communication and storage or the like are worked, and finish all principal computers and are required the function that realizes.
Data acquisition and stimulation output cassette comprise one-chip computer unit, eeg amplifier, ecg amplifier, nerve stimulator, light output stimulator, communication unit, liquid crystal display etc. and partly form.
Brain electricity and electrocardiosignal all are to obtain the human biological signal by sticking in the surface electrical pole piece at brain and limbs position, amplify through amplifying circuit, convert digital quantity to through A/D converter, CPU by the monolithic computing machine reads, obtain corresponding brain wave curve and electrocardio ripple curve, on liquid crystal display, show the quality of cue quality.Wherein eeg amplifier, ecg amplifier are mainly by notch, filtering impedance matching prime amplifier, and 50 weeks isolated every involving the filtering modulation, and demodulator circuit is formed, can be referring to the ZL03245339.6 patent.The digital signal that obtains is passed through the RS232 interface by one-chip computer in real time, sends in mainframe computer system and the memory buffer chip.
Nerve stimulator provides constant-current pulse to stimulate, and sends pulsating wave by one-chip computer, puts on the some positions of human body through processes such as isolation, power amplification, constant currents by surface electrode, and Current Control is in 20 milliamperes of scopes, and size and frequency are controlled.By feedback index signal regulating impulse wave frequency, the sedation of determining with brain electricity bispectrum index, heart rate variability sex index that reaches is a control criterion.
Photic stimulator provides the luminosity to eyes to stimulate, he is applied on the human body by wearing in the eyeshade of eye, one-chip computer sends pulsating wave, through power amplification, shaping, utilize luminescent device to send the light wave of varying strength, color and frequency, wherein shades of colour should comprise at least: in white light, ruddiness, the green glow two kinds.Frequency by the feedback index signal is regulated light wave stimulates brain by the human body eye, and the sedation of determining with brain electricity bispectrum index, heart rate variability sex index that reaches is a control criterion.
The output of learning content is partly broadcasted by the principal computer multimedia audio, via the earphone of wearing with user's head, to brain, finishes study order ground.
Computer control air pump circulation inflation, the blood vessel at extruding lower limb position is to increase the brain blood supply oxygen-supplying amount.
Communication unit can adopt wired and wireless dual mode, by RS232 standard interface or wave point and principal computer communication.
The utility model hardware comprises the electrocardio module that is used to monitor the brain electricity module of EEG signals and is used for the monitor heart rate variation, be used to apply sonic stimulation and knowledge earphone of inculcating and the nerve stimulator that is used to apply the light current stimulation, be used for lower limb circulation squeezing pressure band and air pump, principal computer, auxiliary one-chip computer, EEG signals and electrocardiosignal calculate bispectrum exponential sum heart rate variability index through principal computer, reaction people's the state of mind, and main frame with these parameters as feedback signal, be prompted to the people, and control is sent the acousto-optic electro photoluminescence in the human body corresponding organ, I am according to the current state of mind that feeds back to oneself, regulate psychology, the outside stimulus combination that the specific direction of Control and Feedback mark sense develops and applies, the control state of mind reaches specific requirement.Simultaneously, the computer control air pump, circulation extruding lower limb tissue, the compressing blood flow flows to upper body and brain, increases the brain blood supply oxygen supply.Improve learning efficiency.In a single day people's the state of mind reaches requirement, and the computer control multimedia audio system broadcasts predefined learning content, reaches active the destination of study.
The brain electricity module and the electrocardio module of this device are prior art, and lead line and stimulation line can adopt import or homemade.Computer main board adopts the 845D of Jijia type, and the PCI slot is arranged, CPU1.7G, and internal memory 128M, hard disk 40G, power supply adopts 300W, gives the power supply of computing machine and functional module respectively; Software section: under WINDOWSxp operating system, realize control with the dedicated analysis software of VC, DEPHI exploitation.
Claims (5)
1. a biofeedback state of mind is regulated and assistant learning machine, it is characterized in that: it comprises main frame, data acquisition and stimulates two parts of output; Data acquisition and stimulation output mainly comprise one-chip computer unit, eeg amplifier, ecg amplifier, nerve stimulator, light output stimulator, communication unit and liquid crystal display; The input termination of eeg amplifier, ecg amplifier anthropological measuring electrode separately wherein, output terminal is connected with assistant SCM by the A/D change-over circuit; Assistant SCM by communication unit with comprise brain electricity bispectrum and handle and be connected with the main frame of heart rate variability software for calculation; Described electric-impulse stimulation device, pulsed light output stimulator are connected with the control output end of assistant SCM, and the output terminal of electric-impulse stimulation device is connected to a human body surface electrode, and the output termination of light output stimulator has the eyeshade of illuminator; The audio output of main frame connects learning content voice output earphone, and main frame is connected with the multimedia learning content display.
2. a kind of biofeedback state of mind as claimed in claim 1 is regulated and assistant learning machine, it is characterized in that: described egersimeter comprises isolation, power amplification, the constant-current control circuit unit of the pulsating wave that processing is sent by assistant SCM.
3. a kind of biofeedback state of mind as claimed in claim 1 is regulated and assistant learning machine, it is characterized in that: described photic stimulator comprises power amplification, the shaping circuit unit of the pulsating wave that processing is sent by assistant SCM, and described illuminator has the light-emitting device of different colours.
4. a kind of biofeedback state of mind as claimed in claim 1 is regulated and assistant learning machine, it is characterized in that: described communication unit adopts wired and wireless dual mode, by RS232 standard interface or wave point and principal computer communication.
5. a kind of biofeedback state of mind as claimed in claim 1 is regulated and assistant learning machine, it is characterized in that: the control output end of described main frame is connected with the air pump working control circuit, and described air pump is connected on the air bag air feed gas circuit of human body shank periphery.
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| Application Number | Priority Date | Filing Date | Title |
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| CNU2007201512498U CN201060561Y (en) | 2007-06-11 | 2007-06-11 | Biofeedback mental state regulation and auxiliary learning machine |
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| CNU2007201512498U CN201060561Y (en) | 2007-06-11 | 2007-06-11 | Biofeedback mental state regulation and auxiliary learning machine |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102068745A (en) * | 2011-01-21 | 2011-05-25 | 杨杰 | Four-dimensional brain biofeedback therapeutic instrument and operating control method thereof |
| CN102737677A (en) * | 2012-06-18 | 2012-10-17 | 哈尔滨工业大学深圳研究生院 | Electroencephalogram signal-based multi-media feedback control system |
| CN103637774A (en) * | 2013-12-18 | 2014-03-19 | 王昌利 | Human startle reflex experimental system and working method thereof |
| CN105125186A (en) * | 2015-06-29 | 2015-12-09 | 王丽婷 | Method and system for determining intervention treatment mode |
| CN105617506A (en) * | 2016-01-26 | 2016-06-01 | 王焕霞 | 3D (Three-Dimensional) brainwave synchronization nursing instrument |
| CN105657506A (en) * | 2016-01-11 | 2016-06-08 | 广东小天才科技有限公司 | Video learning reminding method and system and control signal sending method and system |
| CN106512209A (en) * | 2016-12-06 | 2017-03-22 | 江苏师范大学 | Smart learning mental state adjusting device |
| CN107137061A (en) * | 2017-04-20 | 2017-09-08 | 贵州省人民医院 | A kind of smart therapeutics system and method for cerebral nervous system disease |
| CN107184205A (en) * | 2017-04-28 | 2017-09-22 | 北京易飞华通科技开发有限公司 | The automatic knowledge memory traction method that memory scale and induction based on brain are caught |
| CN110522983A (en) * | 2018-05-23 | 2019-12-03 | 深圳先进技术研究院 | Brain stimulation system, method, equipment and storage medium based on artificial intelligence |
| CN111481391A (en) * | 2020-04-26 | 2020-08-04 | 福建中医药大学 | Rehabilitation and nursing bed for psychological stress dysfunction patient |
| CN112244792A (en) * | 2020-10-30 | 2021-01-22 | 北京应激魔方数字科技有限公司 | Multidimensional stress management system and method |
-
2007
- 2007-06-11 CN CNU2007201512498U patent/CN201060561Y/en not_active Expired - Fee Related
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102068745B (en) * | 2011-01-21 | 2012-11-21 | 杨杰 | Four-dimensional brain biofeedback therapeutic instrument and operating control method thereof |
| CN102068745A (en) * | 2011-01-21 | 2011-05-25 | 杨杰 | Four-dimensional brain biofeedback therapeutic instrument and operating control method thereof |
| CN102737677A (en) * | 2012-06-18 | 2012-10-17 | 哈尔滨工业大学深圳研究生院 | Electroencephalogram signal-based multi-media feedback control system |
| CN103637774A (en) * | 2013-12-18 | 2014-03-19 | 王昌利 | Human startle reflex experimental system and working method thereof |
| CN105125186B (en) * | 2015-06-29 | 2018-05-25 | 王丽婷 | A kind of method and system of definite therapeutic intervention mode |
| CN105125186A (en) * | 2015-06-29 | 2015-12-09 | 王丽婷 | Method and system for determining intervention treatment mode |
| CN105657506A (en) * | 2016-01-11 | 2016-06-08 | 广东小天才科技有限公司 | Video learning reminding method and system and control signal sending method and system |
| CN105657506B (en) * | 2016-01-11 | 2018-10-16 | 广东小天才科技有限公司 | Video learns based reminding method and system, control signaling method and system |
| CN105617506A (en) * | 2016-01-26 | 2016-06-01 | 王焕霞 | 3D (Three-Dimensional) brainwave synchronization nursing instrument |
| CN106512209B (en) * | 2016-12-06 | 2018-11-02 | 江苏师范大学 | A kind of wisdom study state of mind regulating device |
| CN106512209A (en) * | 2016-12-06 | 2017-03-22 | 江苏师范大学 | Smart learning mental state adjusting device |
| CN107137061A (en) * | 2017-04-20 | 2017-09-08 | 贵州省人民医院 | A kind of smart therapeutics system and method for cerebral nervous system disease |
| CN107184205A (en) * | 2017-04-28 | 2017-09-22 | 北京易飞华通科技开发有限公司 | The automatic knowledge memory traction method that memory scale and induction based on brain are caught |
| CN107184205B (en) * | 2017-04-28 | 2021-01-22 | 北京易飞华通科技开发有限公司 | Automatic knowledge memory traction method based on memory scale and induction capture of brain |
| CN110522983A (en) * | 2018-05-23 | 2019-12-03 | 深圳先进技术研究院 | Brain stimulation system, method, equipment and storage medium based on artificial intelligence |
| US11577043B2 (en) | 2018-05-23 | 2023-02-14 | Shenzhen Institutes Of Advanced Technology | Brain stimulation system, method and apparatus based on artificial intelligence and storage medium |
| CN111481391A (en) * | 2020-04-26 | 2020-08-04 | 福建中医药大学 | Rehabilitation and nursing bed for psychological stress dysfunction patient |
| CN112244792A (en) * | 2020-10-30 | 2021-01-22 | 北京应激魔方数字科技有限公司 | Multidimensional stress management system and method |
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| CF01 | Termination of patent right due to non-payment of annual fee |