CN102715902A - Emotion monitoring method for special people - Google Patents
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Abstract
An emotion monitoring method for special people includes: acquiring neural physiological information, and acquiring electroencephalogram signal and brain blood oxygen signal; performing signal treatments including signal pretreatment, feature extraction and emotion recognition; determining intervention type, determining recognized emotions, and returning to a start phase to continue monitoring if a user is calm or positive emotionally, or proceeding a next phase if not; performing systematic intervention, namely determining the manner of systematic auxiliary emotion regulation and intervention or remote intervention according to different emotions; and storing data, drawing an emotion periodic table in a certain period, and recording and storing mood fluctuations of a user. By the aid of portable detection of electroencephalogram and brain blood oxygen signals, accurate emotion status is recognized, unhealthy emotions of users and the outside world can be helped and noticed timely, humane placation measures are taken, emotion statuses of the users can be improved, mental state deterioration can be avoided for the users, and nursing burden and physiological pressure of family members of a patient with emotional disorder can also be relieved.
Description
Technical field
The present invention relates in a kind of daily life with medical treatment & health in the emotional state monitoring and regulate.Particularly relate to a kind of emotion monitoring method that the special population of more comprehensive health and fitness information is provided for doctor and patient.
Background technology
Along with the development of society, the puzzlement of each age, each field people's spirit is more and more, and the various disease incidences relevant with emotion are increasingly high, like depression, manic disorder, anxiety neurosis, obsession, affective disorder etc.Also have some special occasions, be in the spaceman, air duty of confined environment, the old man who lives by oneself etc. like the space midium or long term, because of environmental factors some negative feelings can occur inevitably.This type crowd's work and life disturbed in the lasting accumulation of negative feeling, causes work efficiency to descend sometimes, and operate miss raises, and when serious even aggressive behavior can occur, for example some depressive patients are pessimistic and worldweary, produce suicide.Therefore when these crowds stay alone; It is carried out emotion monitoring and early warning is necessary; When their appearance of negative disposition thread, in time discover and carry out psychological intervention or regulate helping their emotion of releiving, give up pessimistic thought; Reduce the probability that tragedy takes place, reduce the nurse pressure of emotional disorder family numbers of patients simultaneously.
Existing research shows that people's emotional state can be surveyed.The means that are used for the emotion Study of recognition are a lot; The more emotion of discerning the people through expression, voice, postural cue that concentrates on of research the earliest; But because the easy control property and the property pretended of signal; The result can't get rid of by the influence of examination subjective factors, can't observe potential, real emotional state sometimes.Autonomic nervous system physiological signals such as electrocardio, blood volume are beaten, breathing have been introduced in follow-up emotion research; Though these signals have objectivity in emotion identification; But the arousal level that has reflected emotion more waits to improve on dissimilar emotion accuracy of identification.Emotion is the result of nervous process coaction under cerebral cortex and the cortex; The brain electricity closely links to each other with people's emotional state with these nervous physiology signals of brain blood oxygen; And has spontaneity; Therefore based on the emotion recognition technology secure and trusted of nervous physiology signal, also can regulate simultaneously and provide fundamental basis, cause the extensive concern of researcher in recent years and obtained some progress for the neural feedback of emotion.Present research can have been distinguished extreme negativity emotion and tranquility, regulates the auxiliary treatment means that (for example brain electricity feedback regulation) become dysthymic disorder's diseases such as clinical depression, anxiety neurosis based on the emotional feedback of nervous physiology information.
The Yisi Liu of Xin Jiabo in 2010, people such as Olga Sourina utilize the brain electrical feature that is tried under different emotional states as input signal, drive the emotion impression that the 3D expression animation is tried with real-time expression.Prefrontal lobe is the brain district with the emotional activity close relation, numerously shows about emotion and brain blood oxygen Research on parameters: under negative feeling, the bilateral cerebral blood flow of volunteer's prefrontal lobe will reduce, and its HbO2 Oxyhemoglobin content will increase.When the volunteer experiences a very intensive unhappy emotion, after emotion began 3 to 4 seconds, the blood flow of specific region obviously increased in the brain.The contrast experiment shows that joyful emotion can reduce the blood flow in brain another part zone.Be used for spacefarer's emotion monitoring by US National Aeronautics and Space Administration (NASA) based on the emotion detection technique of brain blood oxygen signal.
In recent years, E.E.G Detection Techniques development rapidly, Emotiv systems company in California, USA San Francisco has produced the helmet Epoc headset that reads brain wave, the brain wave scanning technique that 14 pick offs carry out can accurately read the brain brain electrical acti.Japan has released the fashion toy: Necomimi idea cat ear; This product is analyzed after reading brain wave through TGAM brain electrical chip; The EEG signals of representative's emotional state are changed into the digital signal that " cat ear " can be discerned; Thereby the execution corresponding instruction is accomplished different actions, comes the simple wearer's of expression emotional response.Such as when the wearer is in surprised state, cat ear will high erect, and loosens or when dejected, then can alarm to pull down.
Physical and mental health is only real health, and the monitoring of the physiology and the mental status all is worth us to pay close attention to.Portable physiological monitor is applied in clinical and the home care already, yet does not also appear on the market to the portable emotion monitoring technology of special population.Theoretical and technological develop rapidly makes the development of portable emotion monitoring technology become possibility.
Summary of the invention
Technical problem to be solved by this invention is; The portable detection of a kind of brain electricity and brain blood oxygen signal is provided; Carry out accurate emotional state identification; Help user and the extraneous unhealthy emotion of in time discovering the user, carry out the measure of pacifying of hommization, can reach the emotion monitoring method of the special population that improves the user emotion state.
The technical scheme that the present invention adopted is: a kind of emotion monitoring method of special population comprised like the next stage:
(1) gather nervous physiology information,
Described nervous physiology information comprises gathers EEG signals and brain blood oxygen signal;
(2) carry out signal processing, comprise and carrying out: Signal Pretreatment, feature extraction and emotion identification;
(3) judge to intervene type, the emotion after the identification judged, if user's emotion be tranquility or actively state returned for (1) stage and continue monitoring, otherwise get into next stage;
(4) carry out system intervention, confirm that according to different emotional states the emotion auxiliary adjustment means of intervention of employing system still adopts the remote intervention mode;
(5) the storage data are drawn the mood periodicity table in one period, the anxious state of mind of recording user and storage.
Signal Pretreatment described in stage (2) is signal to be filtered make an uproar and enhancement process, specifically comprises the steps:
(a) power frequency that adopts adaptive-filtering to suppress to be mingled with in the signal is disturbed, and adopts the interference of wavelet analysis or independent component analysis filtering eye electricity, myoelectricity;
(b) on the basis that amplifier amplifies signal, utilize some algorithms to strengthen the EEG signals relevant with emotion, increase the space length between the different classes of signal through adopting cospace model filtering device according to dbjective state, thereby improve signal to noise ratio.
Feature extraction described in stage (2) specifically comprises the steps:
(a) analyze time-frequency information: utilize the time-frequency conversion means of Short Time Fourier Transform and Chirplet conversion, observe EEG signals and brain blood oxygen signal wave character and frequency domain energy feature respectively in different time and frequency;
(b) analyze nonlinear characteristic, i.e. fractal dimension, relevant dimension and comentropy;
(c) from the phase angle analysis, utilize Hilbert transform to extract the phase information of signal, extract the synchronization characteristic of different frequency range signal.
Emotion identification described in stage (2) specifically comprises the steps:
(a) merge after the characteristic optimization that EEG signals and brain blood oxygen signal is extracted is selected, described characteristic optimization is to adopt based on the greedy algorithm of SVMs or genetic algorithm or recursive feature filtering algorithm characteristic is optimized;
(b) combination is learnt identification to user's emotional state according to optimal characteristics; And the classification of emotion and degree of waking up carried out accurate classification, study identification is to adopt artificial neural network or Bayes's linear classifier or the SVMs learner as integrated study.
In the stage (4), when user's negative feeling during for low degree of waking up state, the emotion auxiliary adjustment means of intervention of start-up system; When user's negative feeling is height degree of waking up state; The emotion auxiliary adjustment means of intervention and the remote intervention mode of while start-up system; Described remote intervention mode is; Adopt the GPRS wireless telecommunications in real time user's emotional state to be sent to household's mobile phone and shrink monitoring central server, household and doctor converse with user's on line according to user's current state.
The emotion monitoring method of special population of the present invention; Be portable detection, carry out accurate emotional state identification, help user and the extraneous unhealthy emotion of in time discovering the user through brain electricity and brain blood oxygen signal; Carry out the measure of pacifying of hommization; Can reach the purpose of improving the user emotion state, and then avoid user's the mental status to worsen, also slow down the nurse burden and the mental pressure of dysthymic disorder's family numbers of patients simultaneously.Secondly the present invention can be used for also that victim's spirit behind the major disaster is consoled, the old man's that stays alone in the aging society spirit monitoring etc.Combined if should invent, invented a kind of " physically and mentally healthy monitor ", and more comprehensively health and fitness information was provided for doctor and patient, and helped hospital, reduced the coincidence of severe disease retarded depression disease to the medical services that the patient provides hommization with the physiology monitoring technology.This technology is objective, safe, credible, has potential market and promotional value.And; On basis of the present invention, can develop a kind of emotion monitor; User's negative feeling is suitably intervened the while assisted user carry out mood regulation, avoid the lasting accumulation of the passive state of user, reduce the various negative influences that cause by emotional factor.
Description of drawings
Fig. 1 is the flow chart of the inventive method.
The specific embodiment
Below in conjunction with embodiment and accompanying drawing the emotion monitoring method of special population of the present invention is made detailed description.
The emotion monitoring method of the special population that this is bright; Carry out emotion identification in conjunction with brain wave detection and cerebral function imaging technology; Invent a kind of portable emotion monitoring method that daily emotional state detects that can be used on this basis, in time start intervening measure after monitoring user's unusual emotion.After promoting the use of, the present invention can personalized nursing be provided for special population; Help the patient to obtain psychology from the external world and comfort the emotion of releiving simultaneously; Improve the mental status, reduce the incidence rate of special population aggressive behavior or work mistake, reduce the sickness rate of emotional disorder (like depression).
The emotion monitoring method of the special population that this is bright, as shown in Figure 1, comprise like the next stage:
(1) gathers nervous physiology information
Utilize the dried electrode technology of non-intrusion type to carry out brain wave acquisition, the stereo wireless headphone of the similar standard of harvester profile, the electrode of earphone forearm is placed on the collection that forehead carries out EEG signals.Embedded near infrared spectrum emission of earphone head hoop and acquisition probe are carried out wireless collection human brain forehead brain blood oxygen signal, and EEG signals that collect and brain blood oxygen signal are sent to information process unit respectively.
(2) carry out signal processing, comprise Signal Pretreatment, feature extraction and emotion identification, wherein:
1) Signal Pretreatment:
Two types of nervous physiology signals gathering are carried out purification respectively after the A/D conversion, to improve signal to noise ratio, facilitation feature extraction.The present invention intends making an uproar from the signal filter and strengthens these two aspects with signal signal is carried out passivation, specifically comprises the steps:
(a) adopt adaptive-filtering to suppress the stronger noise signals of definitiveness such as power frequency interference that are mingled with in the signal; Adopt wavelet analysis (Wavelet Analysis; WA) or independent component analysis (Independent Component Analysis, ICA) interference such as filtering eye electricity, myoelectricity;
(b) on the basis that amplifier amplifies signal; Utilize some algorithms to strengthen the EEG signals relevant with emotion; Cospace model (Common Spatial Patterns; CSP) wave filter can increase the space length between the different classes of signal according to dbjective state, thereby improves signal to noise ratio.The present invention attempts with this algorithm echo signal being strengthened.
2) feature extraction:
The present invention intends and from three different angles the emotion signal is carried out rounded analysis after the Signal Pretreatment, extracts characteristic, specifically comprises the steps:
(a) analyze time-frequency information: utilize the time-frequency conversion means of Short Time Fourier Transform and Chirplet conversion, observe EEG signals and brain blood oxygen signal wave character and frequency domain energy feature respectively in different time and frequency.For example: each frequency band power spectrum energy is than, fast, slow wave unsymmetry, and oxygen and hemoglobin, deoxyhemoglobin and the quantitative change of blood flow always in time become characteristic etc.;
(b) analyze nonlinear characteristic, i.e. nonlinear parameters such as fractal dimension, relevant dimension and comentropy.These information are often comprising certain fixed model, for example type of emotion;
(c) from the phase angle analysis, utilize Hilbert transform to extract the phase information of signal, can extract the synchronization characteristic of different frequency range signal.
3) emotion identification
Merge after the characteristic optimization selection to the various types of signal extraction; Combination is discerned user's emotional state according to optimal characteristics then; And the tiring of emotion (actively, passive and tranquil) carried out accurate classification with degree of waking up (high and low), for example current state is highly sadness or low detest.
Emotion identification of the present invention specifically comprises the steps:
(a) merge after the characteristic optimization that EEG signals and brain blood oxygen signal is extracted is selected, described characteristic optimization is to adopt based on the greedy algorithm of SVM or genetic algorithm or recursive feature to select characteristic is optimized;
(b) combination is learnt identification to user's emotional state according to optimal characteristics; And the classification and the intensity of emotion carried out accurate classification, study identification is to adopt artificial neural network or Bayes's linear classifier or the SVMs learner as integrated study.
The information processing part can be made the ASIC intelligence integrated chip of low-power consumption, can simplify like this and faster signal processing and analytic process, realizes the real-time online analysis of signal, reduces the research and the application cost of product, makes this technology be convenient to promote and use.Information pretreatment and feature extraction and recognition technology with a large amount of forward positions achievements in research reliably as guidance, to be applicable to different crowds and environment.
(3) judge the intervention type
Whether the emotional state of differentiating the user need start intervention, if user's emotional state is tranquil or positive state, does not need to intervene, and (1) stage of returning is continued monitoring; If will getting into next stage, passive state carries out intervention in various degree;
(4) carry out system intervention
The described system intervention that carries out comprises following two kinds of means of intervention:
(a) the emotion auxiliary adjustment means of intervention of system: this part is the modulability music libraries and " psychology is pasted the scholar " that is complementary with various negative feeling states through starting.Described " the psychological scholar of subsides " can intelligently play specialty and warm mood regulation signal language, and for example " undisturbedly sitting down, along with music is exhaled deeply ... " gentleness is reminded user's current state, and the help user regulates or pours out and give vent to.
(b) remote intervention mode: adopt the GPRS wireless module in real time user's emotional state to be sent to household's mobile phone and shrink monitoring central server; Household and doctor can be according to user's current states; Converse with user's on line; Listen attentively to its impression and carry out spirit and pacify, help the user to shift one's love, in time block its unhealthy emotion.
When user's negative feeling during, start above-mentioned the 1st kind of means of intervention, i.e. the emotion auxiliary adjustment means of intervention of system for low degree of waking up state; When user's negative feeling is height degree of waking up state, start above-mentioned the 1st means of intervention and the 2nd means of intervention simultaneously, i.e. the emotion auxiliary adjustment means of intervention of system and remote intervention mode.
(5) storage data
Draw in one period the mood periodicity table of (short-term as a day, a long-term as week), the anxious state of mind of recording user and storage, helping the user to understand own emotion changes is that user's psychological counselling or evaluation of psychological rehabilitation curative effect from now on provides foundation simultaneously.Be provided with the serial UART input/output interface that meets industrial standard in the memory element, so that the reading and clearing up of information.
Claims (5)
1. the emotion monitoring method of a special population is characterized in that, comprises like the next stage:
(1) gather nervous physiology information,
Described nervous physiology information comprises gathers EEG signals and brain blood oxygen signal;
(2) carry out signal processing, comprise and carrying out: Signal Pretreatment, feature extraction and emotion identification;
(3) judge to intervene type, the emotion after the identification judged, if user's emotion be tranquility or actively state returned for (1) stage and continue monitoring, otherwise get into next stage;
(4) carry out system intervention, confirm that according to different emotional states the emotion auxiliary adjustment means of intervention of employing system still adopts the remote intervention mode;
(5) the storage data are drawn the mood periodicity table in one period, the anxious state of mind of recording user and storage.
2. the emotion monitoring method of special population according to claim 1 is characterized in that, the Signal Pretreatment described in the stage (2) is signal to be filtered make an uproar and enhancement process, specifically comprises the steps:
(a) power frequency that adopts adaptive-filtering to suppress to be mingled with in the signal is disturbed, and adopts the interference of wavelet analysis or independent component analysis filtering eye electricity, myoelectricity;
(b) on the basis that amplifier amplifies signal, utilize some algorithms to strengthen the EEG signals relevant with emotion, increase the space length between the different classes of signal through adopting cospace model filtering device according to dbjective state, thereby improve signal to noise ratio.
3. the emotion monitoring method of special population according to claim 1 is characterized in that, the feature extraction described in the stage (2) specifically comprises the steps:
(a) analyze time-frequency information: utilize the time-frequency conversion means of Short Time Fourier Transform and Chirplet conversion, observe EEG signals and brain blood oxygen signal wave character and frequency domain energy feature respectively in different time and frequency;
(b) analyze nonlinear characteristic, i.e. fractal dimension, relevant dimension and comentropy;
(c) from the phase angle analysis, utilize Hilbert transform to extract the phase information of signal, extract the synchronization characteristic of different frequency range signal.
4. the emotion monitoring method of special population according to claim 1 is characterized in that, the emotion identification described in the stage (2) specifically comprises the steps:
(a) merge after the characteristic optimization that EEG signals and brain blood oxygen signal is extracted is selected, described characteristic optimization is to adopt based on the greedy algorithm of SVMs or genetic algorithm or recursive feature filtering algorithm characteristic is optimized;
(b) combination is learnt identification to user's emotional state according to optimal characteristics; And the classification of emotion and degree of waking up carried out accurate classification, study identification is to adopt artificial neural network or Bayes's linear classifier or the SVMs learner as integrated study.
5. the emotion monitoring method of special population according to claim 1 is characterized in that, in the stage (4), and when user's negative feeling during for low degree of waking up state, the emotion auxiliary adjustment means of intervention of start-up system; When user's negative feeling is height degree of waking up state; The emotion auxiliary adjustment means of intervention and the remote intervention mode of while start-up system; Described remote intervention mode is; Adopt the GPRS wireless telecommunications in real time user's emotional state to be sent to household's mobile phone and shrink monitoring central server, household and doctor converse with user's on line according to user's current state.
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