CN105797257A - Biofeedback training system and method and intelligent terminal - Google Patents
Biofeedback training system and method and intelligent terminal Download PDFInfo
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Abstract
The invention discloses a biofeedback training system which comprises a biological information feedback device and an intelligent terminal. The biological information feedback device at least comprises sensors used for collecting biological information representing a body state; the intelligent terminal comprises a signal receiving unit, an evaluation and training feedback unit and a display unit; the signal receiving unit receives the biological information representing the body state in real time; the evaluation and training feedback unit generating evaluation feedback information according to the biological information received within a period of time, and the evaluation feedback information is used for showing a synchronous trend of the heart rate and respiratory frequency within the period of time; the display unit at least continuously supplies the evaluation feedback information to a user and guides the user to change the biological information by adjusting the body state till the heart rate and the respiratory frequency reach resonance. The biofeedback training system can obtain the biological information and the evaluation feedback information in real time and effectively conduct real-time training guidance on the user, and the training effectiveness and a good using feeling of the user can be improved to a certain extent.
Description
Technical field
The present invention relates to intelligent medical domain, particularly relate to a kind of biofeedback training system, method and intelligent terminal.
Background technology
Biofeedback therapy is to utilize modern physiological scientific instrument, by self feedback of people's body physiological or pathological information, make patient after special training, carry out conscious " idea " and control and mental training, thus eliminating pathological process, recovering able-bodied novel psychotherapy's method.Current biofeedback therapy still relies on the expensive large-scale physiological parameter diagnostic device of specialty or biofeedback system, and the subjective experience of shrink judges and the training guidance of specialty, is primarily present the following aspects problem:
1) poor operability, uses complexity, be no matter the measurement of physiological signal, individual physiological situation evaluation and targetedly biofeedback training need professional person to operate, analyze and instruct, individual cannot effectively use；
2) cost is high, and equipment and human cost are expensive, it is necessary to shrink or professional person's operation；
3) real-time, mobility are poor, it is impossible to life-time service, it is necessary to change electrode frequently, and loaded down with trivial details electrode, sensor and cable have a strong impact on the comfort level of individuality；
4) lacking biofeedback efficiency rating mechanism objective, that quantify, the standard of evaluation relies on the subjective experience of shrink/professional person and corresponding Medicine standard；
5) due to individual variation, the biofeedback training method of universality is lacked, it is necessary to shrink customizes the biofeedback training strategy for individual according to practical situation.
Above problems, more or less it is because in existing biofeedback training device, the process of feedback is relative with the process of training isolates, training effect cannot be learnt in time in the training process so that user cannot accurate assurance training pattern or intensity, reduce the effectiveness of feedback training.
Summary of the invention
In order to solve the problem that in prior art biofeedback training system, effectiveness is relatively low, it is necessary to provide a kind of system that can improve biofeedback training effectiveness.
Meanwhile, also it is necessary to provide a kind of intelligent terminal for biofeedback training.
Meanwhile, there is a need to by a kind of biofeedback training method.
A kind of biofeedback training system, it includes bio information feedback device and intelligent terminal, bio information feedback device at least includes sensor, levies the bio information of body state for acquisition tables, and intelligent terminal includes signal receiving unit, assessment and training feedback unit and display unit；Signal receiving unit, it receives the bio information characterizing body state in real time；Assessment and training feedback unit, it generates assessment feedback information according to the described bio information received in a period of time, and described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；Display unit, for described assessment feedback information is supplied to user at least continuously, guides user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
A kind of intelligent terminal for feedback training, including: signal receiving unit, it receives the bio information characterizing body state in real time；Assessment and training feedback unit, it generates assessment feedback information according to the described bio information received in a period of time, and described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；Display unit, for described assessment feedback information is supplied to user at least continuously, guides user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
A kind of biofeedback training method, including: receive the bio information characterizing body state in real time；Generating assessment feedback information according to the described bio information received in a period of time, described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；At least continuously described assessment feedback information is supplied to user, guides user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
Biofeedback training system, method and the intelligent terminal that the application provides, the heart rate of user and the synchronization trend of respiratory frequency can be obtained in real time, such that it is able to the difference being supplied in real time between effect and the target that user currently trains, user can be effectively instructed to carry out suitable training, avoid excessive or invalid biofeedback training, make the combination of biofeedback and training process, improve the effectiveness of biofeedback training.
Accompanying drawing explanation
Fig. 1 is the block diagram of system of a kind of embodiment of biofeedback training system of the present invention；
Fig. 2 is the schematic diagram that the biofeedback training system of Fig. 1 embodiment one is corresponding；
Fig. 3 is the theoretical model schematic diagram of heart rate variability rhythm pattern analysis of the present invention and Consistency Ratio computational methods；
Fig. 4 is the biofeedback training system analog front end circuit module diagram based on common hardware module design construction of one embodiment of the present invention；
Fig. 5 is the biofeedback training device sensor digital circuit module schematic diagram based on universal architecture of one embodiment of the present invention；
The software of the biofeedback training system of Fig. 6 one embodiment of the present invention realizes schematic diagram；
Fig. 7 is the schematic diagram of the biofeedback training system of another embodiment of the present invention；
Fig. 8 is the schematic diagram of the biofeedback training system of another embodiment of the present invention.
Fig. 9 is the schematic flow sheet of the biofeedback training method of one embodiment of the present invention.
Detailed description of the invention
Below by specific embodiment and in conjunction with accompanying drawing, the application is described in further detail.In the following embodiments, a lot of details describe is so that the application can be better understood.But, those skilled in the art can recognize without lifting an eyebrow, and wherein Partial Feature is dispensed with in varied situations, or can be substituted by other elements, material, method.In some cases, the certain operations that the application is correlated with is display or description in the description not, this is in order to avoid the core of the application is flooded by too much description, and to those skilled in the art, it not is necessary that these associative operations are described in detail, and they can completely understand associative operation according to the general technology knowledge of the description in description and this area.
It addition, feature described in this description, operation or feature can combine the various embodiments of formation in any suitable way.Meanwhile, each step in method description or action apparent mode can also can carry out order exchange or adjustment according to those skilled in the art institute.Therefore, the various orders in specification and drawings are intended merely to clear some embodiment of description, are not meant to be necessary order, and wherein certain order is mandatory except as otherwise noted.
[embodiment one]
Refer to Fig. 1, in one embodiment of the invention, it is provided that a kind of biofeedback training system 10, this biofeedback training system 10 includes bio information feedback device 101 and intelligent terminal 103.Wherein, bio information feedback device 101 can realize the collection of the bio information to human body, process and output, bio information described here refers to the various forms of signals that can embody or characterize Human Physiology or pathological state from certain aspect, preferably, these bio informations can pass through the sensors such as various photoelectricity, electro physiology, electrode and obtain, can also be the signal directly inputted by user in some cases, or be received from miscellaneous equipment or network.As it is shown in figure 1, bio information feedback device 101 includes first sensor the 110, second sensor 111, signal processing unit 113, signal analysis unit 115 and signal output unit 117.First sensor 110 and the second sensor 111 connect or are attached to human body, thus gather corresponding physiologic information or physiological signal.The quantity of sensor can set as required, it is possible to less than 2 or more than two.In a specific embodiment, first sensor 110 can be EGC sensor, and the second sensor 111 can be respiration pickup.
The physiologic information that first sensor 110 and/or the second sensor 111 gather is generally analogue signal or primary signal, it is generally not suitable for being presented directly to user to observe, it is being amplified through signal processing unit 113, filtering or analog/digital conversion etc. are transferred to signal analysis unit 115 after processing, signal analysis and characteristics extraction is further carried out through signal analysis unit 115, output has physiologic information or the parameter of meaning directly perceived, and signal output unit 117 can by these physiologic informations or parameter, including the eigenvalue extracted etc., information is by wireless transmission to intelligent terminal 130.It should be noted that, the bio information feedback device 101 of present embodiment and intelligent terminal 103 are two relatively independent part/device, such as bio information feedback device 101 can be wearable equipment, include but not limited to integrated on the various forms of carriers such as intelligence clothing, wrist-watch, clothes, ring, belt or EGC sensor, respiration pickup, blood oxygen transducer, pressure transducer are set, and intelligent terminal 103 can be the intelligent terminal that user carries with, such as smart mobile phone.Therefore, the physiological signal that bio information feedback device 101 collects requires over certain transmission means and is transferred to intelligent terminal 103, and what adopt in present embodiment is the short distance/distance communications such as such as bluetooth, wi-fi, radio frequency, infrared, near-field communication, optic communication.Certainly, it is also feasible for carrying out signal transmission by traditional wire mode.
Intelligent terminal 103 includes signal receiving unit 130, assessment and training feedback unit 131, display unit 133, motion sensor 105 and movable information feedback unit 107.Signal receiving unit 130 receives the physiological signal from signal transmission unit 117 output, and is transmitted to display unit 133 and assessment and training feedback unit 131.Wherein, physiological signal can some or all of display at display unit, the breathing rate parameter of the ecg wave form, the hrv parameter of extraction, respiratory waveform or the extraction that such as record can show in real time at described display unit 133, and these data can evaluated and training feedback unit 131 be received simultaneously.Assessment and training feedback unit 131 can be formed based on microprocessor in certain embodiments.In the present embodiment, intelligent terminal 103 can also include motion sensor 105 and movable information feedback unit 107.Motion sensor 105 can sense the kinestate of the user carrying this intelligent terminal, and form exercise data through movable information feedback unit 107 and feed back to assessment and training feedback unit 131.The physiological signal received and exercise data are carried out after integrated treatment output feedack information to display unit 133 by assessment and training feedback unit 131, thus user can realize monitoring own physiological state in real time and obtaining real-time feedback training effect, and autotraining method or mode, time etc. can be adjusted in time according to this, make feedback training more targetedly with ageing, it is also possible to promote user and use the cordial feeling of this feedback system.Assessment and training feedback unit 131 can also export the information such as physiology/mental status assessment result or score value, exercise guidance information, training feedback effect, come-on, alarm signal, amusement signal intuitively according to the physiological signal of monitoring, motor message or comprehensive assessment information.
Motion sensor 105 can be the sensor/sensing module of the types such as inertial sensor, gyroscope, accelerometer, GPS.Motion sensor 105 and movable information feedback unit 107 can be integrated in intelligent terminal, the above-mentioned various types of sensors in such as mobile phone.That is, when adopting smart mobile phone as intelligent terminal 103, motion-sensing function can use the motion sensor in existing intelligent terminal.
Intelligent terminal 103 can also include memory element 137 and interactive unit 135.Memory element 137 can be used for storing the physiological signal monitored in a period of time and movable information, history of forming data, it is available for user to check and browse, or exports more out of Memory, such as warning, encouragement, amusement, prompting etc. according to historical data and/or current measurement data.
Below in conjunction with other accompanying drawings, it is explained further in embodiment one about the certain embodiments of hardware, software realization mode in system principle and system.
Fig. 2 is the schematic diagram that the biofeedback training system of embodiment one is corresponding.Biofeedback training system in Fig. 1 realizes based on Wearable device, wherein, the design concept of biological feedback system is the hardware platform adopting the hardware module based on universal architecture to build this feedback training system, from Consumer's Experience angle, adopt advanced industrial applicability design means, under the premise meeting system reliability, defer to the design concept of comfortableness and robustness, and take into full account individual difference in culture and living habit, adopt modular system architecture, set up reconfigurable, reliably, comfortable, firm wearable biofeedback training system.This platform mainly includes physiological signal and amplifies and conditioning, bio signal conversion, bio signal information record, feedback information show these modules, independence or coordinated the functions such as the collection of physiological signal, process, transmission, analysis and display.
In biofeedback algorithm, pass through intelligent terminal, such as smart mobile phone, Handheld intelligent equipment, PC etc., set up the closed loop structure of the acquisition of real-time physiological signals, physiology and Feedback Evaluation, feedback training three, thus realizing the real-time synchronization of physiologic information detection, feedback efficiency evaluation and feedback training adjustment three.Foregoing teachings is mentioned, biosensor in embodiment one can be EGC sensor and respiration pickup, as example, the present invention can provide the unperturbed Wearable biological feedback system of universality, for family and mobile environment monitor electrocardiosignal and breath signal (breath rhythm pattern), the biofeedback training breathed based on resonant frequency to instruct individual to carry out, strengthen individual autonomic regulation and control standard function, reduce the copingability reaction of central nervous system in real time.Such as heart rate variability (Heartratevariability can be extracted from electrocardiosignal, HRV) and heart rate rhythm pattern etc. characterize physiological signal or the eigenvalue of cardiomotility, breath rhythm pattern or breathing rate etc. can be extracted from breath signal and characterize physiological signal or the eigenvalue of user's respiratory activity.
Fig. 3 is the theoretical model schematic diagram of heart rate variability rhythm pattern analysis and Consistency Ratio computational methods.First, the degree of heart rate variability and arrhythmia, is the one group of conventional quantitative target judging autonomic nervous function.Heart rate variability specifically refers to the changing phenomenon of heart time each time.The interval of heart beating each time the is corresponding instantaneous heart rate of people, it is continuous fluctuations along with the change of the breathing of people, blood pressure, emotion and local environment.This change is controlled (sympathetic nerve and parasympathetic nervous system mutual) by human body autonomic nervous system, and heart rate variability analysis reflects that autonomic nerve balances strong means just.There are some researches show, concentrate in spirit by deep breathing technology or meditation, namely control the method for idea make parasympathetic activity be in leading position, increase the movable synchronization of heart and brain, strengthen cardiovascular resonance and with the drawing mutually of other oscillatory systems, adjust health and run and be in perfect condition.Ideally instantaneous heart rate curve is similar to a sine wave on waveform this, HRV frequency domain shows as power spectrum is concentrated, low frequency (LowFrequency, LF) power significantly increases, especially near 0.1Hz, as shown in Figure 3.Otherwise, instant heart rate curve and frequency domain power distribution are mixed and disorderly, without evident regularity.
Based on above-mentioned theory model, design achieves heart rate variability feedback algorithm, and it is divided into: 3 subalgorithms such as HRV Consistency Ratio (CoherenceRatio, CR) computational methods, real-time dynamic waveform feedback algorithm and resonance respiratory training algorithm.These subalgorithms are all linked with one another, complete the whole flow process of the live signal detection of system, signal rhythm pattern analysis and respiratory training feedback in conjunction with wearable hardware platform.Result of calculation according to each phase algorithm, obtain instantaneous Consistency Ratio value, instantaneous heart rate tempo variation curve and breath rhythm change curve, HRV frequency domain distribution figure, it can be used as graphical feedback and numerical value feedback result to be transferred to display unit 133 to display, helping user to be best understood from, jumping rhythm and pace of moving things change and the synchronization trend of breath rhythm change being held in biofeedback training Process-centric, thus better instructing user to complete whole feedback training.
Utilize the physiological signal gathered or multiple physiological signal is merged, it may be achieved biofeedback training assessment or the function instructed.In a kind of mode, heart rate variability eigenvalue is extracted by electrocardiosignal, its power spectral density value is calculated by the mode of Fourier transformation or autoregression model, calculate the Consistency Ratio value obtaining heart rate variability, can as the index evaluating resonant frequency respiratory training efficiency, this index can display either directly through display unit 133, it is also possible to as the foundation of the output signal such as alarm, encouragement.In a further mode of operation, being used as adjusting the real-time reference that resonant frequency is breathed by calculating instantaneous breathing rate, user, by checking current instantaneous breathing rate, can carry out contrasting thus instructing ensuing autotraining with resonance respiratory frequency (target).In another mode, utilize electrocardiosignal and breath signal, the rhythm pattern of heart rate variability signals and the match condition of breath signal rhythm pattern is observed by morphological analysis method, output tutorial message is to display unit 133, one of index as feedback training efficiency rating, thus instructing the user independently carrying out resonant frequency breathing feedback training.
Fig. 4 is the biofeedback training system analog front end circuit module diagram based on common hardware module design construction of one embodiment of the present invention.In order to meet compatibility, motility and extensibility, the present invention adopts the modularized hardware design of universal architecture, so can reduce the construction cycle to greatest extent, it is easy to maintenance and the upgrading of system, reduce design to hinder, improve efficiency, reduce development cost, configurability and the versatility of whole system can be improved, it is simple to extensive deployment system scheme on a large scale simultaneously.To gather electrocardio and to breathe two kinds of physiological signals, this platform adopts EGC sensor and respiration pickup, and be other optional sensors, such as pulse, blood oxygen saturation, real-time pressure transducer, myoelectric sensor, mechanics of breathing sensor etc. provide expansion interface.The circuit design of sensor follows international standard, act on miniaturization, low-power consumption, low noise, high bandwidth, high s/n ratio and high-precision principle, it is easy to when designing novel trunk net, can by the middle of multiple sensor integration to wearable carrier, such as clothes, wrist-watch, wrist strap, belt, earphone ornament, glasses etc..Such as, described electrocardioelectrode adopts the textile electrode of filamentary silver and conductive fiber blending, is integrated on the carriers such as clothes, watch, belt, utilizes the capacitive coupling between electrode from human body to realize the detection of different electrocardiosignal of leading.Chest and abdominal breathing sensor adopt anti-twist sensor conductor to be embedded in wearable carrier, and the physical deformation produced by perception thoracic cavity and abdominal cavity measures breath signal.
Based on universal architecture sensor front end Analog Circuit Design scheme as shown in Figure 4, generally comprise AFE (analog front end) 150, signal condition unit 152 and analog back-end 154.AFE (analog front end) 150 includes electrode signal acquisition, such as electrocardioelectrode, respiration pickup, in certain embodiments, it is also possible to use electrocardioelectrode to obtain electrocardiosignal and impedance breath signal simultaneously.Therefore, biosensor or electrode signal acquisition can also only have a kind of/mono-.AFE (analog front end) 150 also includes current/voltage transducer, can be used for being converted to the physiological change signal of non-electrical the signal of telecommunication of current/voltage form, to realize follow-up signal processing.AFE (analog front end) 150 can also include impedance matching circuit.The heart is breathed out skin conditioning unit 152 and is included general difference amplifier, high pass filter, low pass filter and main amplifying unit, obtains authentic and valid physiological signal for original physiologic signal faint, containing interference signal under normal circumstances is carried out a series of process.Analog back-end 154 then includes voltage compensating circuit, voltage lifting circuit, these peripheral or end the universal designs of signal output expansion interface.
The present invention be experiments show that by substantial amounts of emulation and actual measurement, involve the order of main amplification according to differential amplification, high-pass filtering, low pass filtered to carry out signal condition and can farthest eliminate the problems such as baseline drift, direct current biasing, there is the features such as low-power consumption (single supply is powered), low cut-off frequency, low noise, high s/n ratio.Many bio-sensor signal conditioning unit employs instrument amplifier and the operational amplifier of extremely low power dissipation, single supply is adopted to power (1.8V～4.4V), and on this basis, the method using time-sharing multiplex uses single operational amplifier that different physiological signals is carried out timesharing amplification, reduce the usage quantity of operational amplifier, thus reducing system power dissipation further, reducing design space and saving development cost.
Fig. 5 is the biofeedback training device sensor digital circuit module schematic diagram based on universal architecture of one embodiment of the present invention.Sensor digital circuit based on universal architecture includes digital signal processing unit 171, Power Management Unit 173, peripheral circuit 177 and communication module 179.Power Management Unit 173 is responsible for whole circuit and powers and process the abnormal conditions such as low electricity.Peripheral circuit 177 mainly includes reporting to the police and input block and display, memory element.The part that communication module 179 is considered as in Fig. 1 signal output unit 117, mainly include the unit for realizing data communication, such as can including bluetooth module, wi-fi module, GPS/GPRS module, bluetooth module can adopt the BLE Bluetooth short distance radio transmission techniques of extremely low power dissipation.Communication module 179 can include one of which communication module, two kinds and above communication module can also be included simultaneously, when comprising many communication modules, it is possible to receive according to the signal of intelligent terminal and adopt which kind of mode switches to which module automatically and is operated.
Digital signal processing unit 171 can be realized by microprocessor, such as can adopt the MSP430F149 microprocessor of TI, and the analogue signal that digital signal processing unit 171 receives from front end inputs, it is also possible to the control signal outside receiving.12bit analog-digital converter module in sheet is used to realize the analogue signal translation function (ADC) to digital signal, Serial Peripheral Interface (SPI) (SPI) is used to realize data storage function, carry out data transmission with external memory storages such as SD card, TF cards, and the display function such as live signal and data (connecting OLED display screen etc.), use general purpose I/O Interface can be attached with alarm module or input equipment, thus realizing the output of alarm signal and the input of control signal.Use built-in low-power consumption mode (LPM) and direct memory access (DMA) module (DMA) to realize reducing the purpose of power consumption, full duplex universal synchronous/asynchronous serial transceiver module (USART) is used for encapsulating digital signal, and sends communication module to realize the purpose of short range wireless transmission.Meanwhile, this Design of Digital Circuit scheme provides abundant expansion interface so that Function Extension and module are integrated.
The software of the biofeedback training system of Fig. 6 one embodiment of the present invention realizes schematic diagram.Based on hardware platform, software architecture in its system is mainly used in realizing bio signal monitor in real time, analysis, evaluation, feed back and be wirelessly transferred etc. function, it comprises three main modular, respectively signal monitoring module 190, signal analysis module 192 and evaluation and feedback module 194.
Signal monitoring module 190 realizes system configuration feature, the packet come from sensor platform Wireless transceiver is decoded operation, it is achieved the reconstruction of multimode physiological signal.Signal monitoring module 190 is integrated with signal de-noising algorithm, the Hz noise noise in linear (medium filtering, average value filtering etc.) and nonlinear filtering algorithm (finite impulse response filter, the Mathematical Morphology method filtering etc.) physiological signal to gathering, motion artifacts, baseline drift and other high-frequency noises is used to process, signal waveform clear, stable can be obtained on the display screen of intelligent terminal 103, physiological data can be saved in the memorizeies such as SD card, it is achieved the functions such as physiological signal playback simultaneously.Signal monitoring module 190 controls sensor platform work by sending the order of set form, changes its operational mode.The switching etc. realizing short distance/distance wireless transmission method is configured by network communication interface.
Signal analysis module 192 possesses the functions such as signal processing, characteristics extraction, characteristic parameter analysis and bio signal pattern recognition.The main eigenvalue parameter extracted includes the parameters such as the time domain parameter of heart rate variability, the frequency domain parameter of heart rate variability, nonlinear parameter, breathing rate and air-breathing/expiration ratio, heart rate variability rhythm pattern and breath signal rhythm pattern, and these parameter meanings and application in the present invention are explained as follows:
Wherein, the time domain parameter of heart rate variability includes: 1, SDNN (Standarddeviationofnormal-to-normalintervals), i.e. the standard deviation of all of hole heartbeat R-R (N-N) interval；2, rMSSD (TherootmeansquareofdifferencebetweenadjacentNNintervals), namely refers to the root-mean-square of adjacent N-N interval difference；The heart rate of 3, pNN50 (PercentofNN50inthetotalnumberofRRintervals): hole adjacent N-N interval difference > 5Oms accounts for NN interval and always fights several percentage ratio.
The frequency domain parameter of heart rate variability includes: 1, high frequency power (highfrequency, HF), in having parameter algorithm, (AR regression model) represents the integrated value of high fdrequency component curve (center bin is within the scope of 0.15～0.40Hz), in printenv algorithm (Fourier transformation), represent whole spectrum curve integrated value within the scope of 0.15～0.40Hz, regulated by vagus nerve；2, low frequency power (lowfrequency, LF), the integrated value of low frequency component curve (within the scope of center bin 0.04～0.15Hz) is represented in having parameter algorithm, in printenv algorithm, represent whole spectrum curve integrated value within the scope of 0.04～0.15Hz, jointly regulated by sympathetic nerve and vagus nerve, have obvious relation with position, posture；3, LH/HF (low high frequency ratio), normal range 1.5～2.0, this index mainly reflects sympathetic nerve and vagal tone balance.Spectrum analysis can adopt real-time short run analysis (5 minutes) and long-term (24 hours) to analyze two kinds of methods combined, and its meaning is had nothing in common with each other.What long-term spectral analyzed the reflection of its meaning is the autonomic control situation of 24 hourly averages, is used for monitoring blood pressure, breathing and cardiovascular physiological abnormalities；The spectrum analysis of short time can reflect the slight change of autonomic control, can be used for the detection of real-time emotion pressure and evaluation.
Nonlinear parameter, including scatterplot, approximate entropy, removes trend analysis etc., and nonlinear parameter as emotion, pressure and physically different auxiliary judgment method, can improve the accuracy of detection, effectiveness and robustness (Robust) in the present invention.Breathing rate and air-breathing/expiration ratio, can be used for detecting apnea, snoring and breathing class relevant disease or exception.Heart rate variability rhythm pattern and breath signal rhythm pattern, intuitively show, indication feedback training effect.
Using intelligent terminal as feedback training terminal, software system in terminal has cross-platform characteristic, it is applicable to multiple intelligent terminal's platform, realize that physiological signal processes in real time, eigenvalue and spectrum calculation, waveform show simultaneously, effciency of respiratory evaluation and breathe the functions such as feedback adjustment, in conjunction with many-sided technology such as multimode physiological signal integration technologies to realize reliable, practical, comfortable novel trunk net (bodyareanetwork).This device can carry out evaluating mechanism from main modulation and study, the physiological signal arrived according to sensor measurement and the effciency of respiratory, by unlimited iterative manner optimizing evaluation threshold value and personalized respiratory frequency etc..
The biofeedback training system of present embodiment, it passes through Real-time Collection electrocardio and breath signal, analyze the synchronization trend of heart rate variability, breathing rate or heart rhythm pattern and breath rhythm, by comparing the matching degree of feedback signal and current demand signal, guide user to control cardiac rhythm targetedly and breath rhythm synchronizes, determine individual's resonance respiratory frequency, and carry out breathing feedback training from primary resonance with this respiratory frequency.This device can analyze the physiological signals such as electrocardio, breathing, pulse real-time and accurately, calculate press water level values and positive and negative emotional state, and by modes such as breathing, meditation, individuality carried out effective oneself and adjust, realize the resonance of heart rate and respiratory frequency, thus reaching to maximize the purpose of autonomic nervous system regulation and control function.
[embodiment two]
Fig. 7 is the schematic diagram of the biofeedback training system of another embodiment of the present invention, roughly the same with Fig. 1, and it differs primarily in that motion sensor 205 and movable information feedback unit 207 are integrated in sensor platform.
[embodiment three]
Fig. 8 is the schematic diagram of the biofeedback training system of another embodiment of the present invention, each component units is roughly the same with Fig. 1, it differs primarily in that motion sensor 205 and movable information feedback unit 207 and display unit 333 are all integrated in sensor platform, is namely integrated in wearable device.In this case, it is not necessary to the parts that extra intelligent terminal processes as data and exports.It addition, this system includes three biosensors, it is EGC sensor, respiration pickup and blood oxygen transducer respectively.
Fig. 9 is the schematic flow sheet of the biofeedback training method of one embodiment of the present invention.The method includes:
Step S1: receive the bio information characterizing body state in real time；
Step S2: generating assessment feedback information according to the described bio information received in a period of time, described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；
Step S3: described assessment feedback information is supplied to user at least continuously, guides user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
The biofeedback training system of the present invention, method, with the intelligent end device for biofeedback training, it is by obtaining electrocardiosignal (heart rate variability) and breath signal in real time, and by the synchro measure of heart rate rhythm with breath rhythm pattern, comparison and oneself adjust, realize the real time physiologic status detection in mobile environment, and it is synchronously performed the self-feedback training breathed based on resonant frequency, the adjusting function of autonomic nervous system is strengthened with this, strengthen the stress level of central nervous system, memory reinforcing can be reached, focus on, improve study and work efficiency, improve creative and problem-solving ability, reduce the purposes such as central nervous system stress.
The wearable biofeedback training device of the present invention, it is possible not only to the physiological status realizing monitoring user in real time, and can in real time based on the training guidance that Monitoring Data output is real-time, make user can grasp current own physiological situation and feedback training target at any time, improve the effectiveness of feedback training and the use friendliness of user.
For convenience of describing, bio information, physiologic information, physiological signal mix use, but all express the essentially identical meaning herein, can characterize human body or organism vital signs or physiology
Above example only have expressed several embodiments, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that, for the person of ordinary skill of the art, without departing from the inventive concept of the premise, it is also possible to making some deformation and improvement, these broadly fall into protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. the intelligent terminal for biofeedback training, it is characterised in that described intelligent terminal includes:
Signal receiving unit, it receives the bio information characterizing body state in real time；
Assessment and training feedback unit, it generates assessment feedback information according to the described bio information received in a period of time, and described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；
Display unit, for described assessment feedback information is supplied to user at least continuously, guides user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
2. intelligent terminal as claimed in claim 1, it is characterised in that described bio information includes electrocardiosignal and breath signal.
3. intelligent terminal as claimed in claim 1, it is characterised in that described intelligent terminal also includes:
Motion sensor, for sensing the kinestate of described user；
Movable information feedback unit, for described kinestate being fed back to assessment and training feedback unit, make described assessment and training feedback unit generate feedback training strategy according to the described physiologic information received in described a period of time and described kinestate, instruct user to carry out feedback training.
4. intelligent terminal as claimed in claim 2, it is characterised in that described assessment feedback information includes instantaneous Consistency Ratio value, instantaneous heart rate tempo variation curve, breath rhythm change curve and HRV frequency domain distribution figure.
5. intelligent terminal as claimed in claim 2, it is characterised in that described assessment feedback information includes resonance respiratory frequency；
Described assessment and training feedback unit are additionally operable to extract instantaneous breathing rate from described real-time bio information, and are supplied to described user by described display unit.
6. intelligent terminal as claimed in claim 2, it is characterised in that described assessment feedback information includes rhythm pattern and the breath signal rhythm pattern of heart rate variability signals.
7. a biofeedback training system, it is characterized in that, including bio information feedback device and intelligent terminal, wherein, described bio information feedback device at least includes sensor, levy the bio information of body state for acquisition tables, described intelligent terminal includes the intelligent terminal as described in claim 1-6 any one.
8. biofeedback training system as claimed in claim 7, it is characterised in that described bio information feedback device is Wearable device.
9. biofeedback training system as claimed in claim 8, it is characterised in that described wearable device includes intelligence clothing, wrist-watch, belt, ring.
10. a biofeedback training method, it is characterised in that including:
Receive the bio information characterizing body state in real time；
Generating assessment feedback information according to the described bio information received in a period of time, described assessment feedback information is for representing the synchronization trend with respiratory frequency of the heart rate in described a period of time；
Continuously described assessment feedback information and real-time described bio information are supplied to user, guide user to change described bio information by adjusting body state, until making described heart rate and respiratory frequency reach resonance.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106512331A (en) * | 2016-12-21 | 2017-03-22 | 吕旭升 | Breathing training method and breathing training system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822863A (en) * | 2010-01-28 | 2010-09-08 | 深圳先进技术研究院 | Emotion regulating device and method thereof |
| CN101980228A (en) * | 2010-09-01 | 2011-02-23 | 张辉 | Human body information monitoring and processing system and method |
| CN203182920U (en) * | 2013-03-19 | 2013-09-11 | 江苏智诠传媒科技有限公司 | Mental stress testing statistic device |
| CN104434056A (en) * | 2013-09-17 | 2015-03-25 | 吕品 | Biological feedback system based on pulse waves |
| CN104490407A (en) * | 2014-12-08 | 2015-04-08 | 清华大学 | Wearable mental stress evaluating device and method |
| CN204293140U (en) * | 2014-10-12 | 2015-04-29 | 吴健康 | A kind of HRV biofeedback rehabilitation device |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070219059A1 (en) * | 2006-03-17 | 2007-09-20 | Schwartz Mark H | Method and system for continuous monitoring and training of exercise |
| US9830832B2 (en) * | 2012-12-20 | 2017-11-28 | Halare, Inc. | Automated systems, methods, and apparatus for breath training |
| CN103830885B (en) * | 2014-02-27 | 2016-06-15 | 上海中医药大学附属曙光医院 | Portable action command based on vital sign parameter signals controls device and method |
| CN104665785B (en) * | 2015-01-26 | 2018-01-23 | 周常安 | Physiological feedback system |
| CN104814727B (en) * | 2015-05-20 | 2020-04-17 | 杭州兆观传感科技有限公司 | Non-contact biofeedback training method |
| CN105797257A (en) * | 2016-05-06 | 2016-07-27 | 包磊 | Biofeedback training system and method and intelligent terminal |
-
2016
- 2016-05-06 CN CN201610298188.1A patent/CN105797257A/en active Pending
- 2016-08-22 WO PCT/CN2016/096212 patent/WO2017190448A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822863A (en) * | 2010-01-28 | 2010-09-08 | 深圳先进技术研究院 | Emotion regulating device and method thereof |
| CN101980228A (en) * | 2010-09-01 | 2011-02-23 | 张辉 | Human body information monitoring and processing system and method |
| CN203182920U (en) * | 2013-03-19 | 2013-09-11 | 江苏智诠传媒科技有限公司 | Mental stress testing statistic device |
| CN104434056A (en) * | 2013-09-17 | 2015-03-25 | 吕品 | Biological feedback system based on pulse waves |
| CN204293140U (en) * | 2014-10-12 | 2015-04-29 | 吴健康 | A kind of HRV biofeedback rehabilitation device |
| CN104490407A (en) * | 2014-12-08 | 2015-04-08 | 清华大学 | Wearable mental stress evaluating device and method |
Cited By (30)
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|---|---|---|---|---|
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| WO2018126128A3 (en) * | 2016-12-29 | 2018-08-09 | Caeden, Inc. | Detecting resonance breathing using a wearable device and related methods and systems |
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| WO2020006845A1 (en) * | 2018-07-03 | 2020-01-09 | 深圳迪美泰数字医学技术有限公司 | Health reserve evaluation method, and device and application thereof |
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| CN111248922B (en) * | 2020-02-11 | 2022-05-17 | 中国科学院半导体研究所 | Human body respiration condition acquisition paste based on accelerometer and gyroscope and preparation method thereof |
| CN111450381A (en) * | 2020-04-16 | 2020-07-28 | 佛山市木记信息技术有限公司 | Fatigue relieving system and method thereof |
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