CN109727670A - A kind of intelligence stroke rehabilitation monitoring method and system - Google Patents
A kind of intelligence stroke rehabilitation monitoring method and system Download PDFInfo
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- CN109727670A CN109727670A CN201811350249.XA CN201811350249A CN109727670A CN 109727670 A CN109727670 A CN 109727670A CN 201811350249 A CN201811350249 A CN 201811350249A CN 109727670 A CN109727670 A CN 109727670A
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Abstract
The present invention discloses a kind of intelligent stroke rehabilitation monitoring method and system.Wherein, method includes at least: data analysis module analyzes patient medical record information and historical information database is combined to generate the first exclusive configuration file；Data analysis module comparative analysis medical information, physiologic information, behavioural information and/or environmental information and the first exclusive configuration file are to generate and/or update the second exclusive configuration file；The file of probability, rehabilitation probability and/or rehabilitation points for attention that the storage of cloud medical expert system and the first exclusive configuration file of output and/or patient treatment protocol in the second exclusive configuration file, stroke index, state of an illness future trend, complication occur.System includes at least: data analysis module, information acquisition module, cloud medical expert system, medical institutions' intelligent terminal, patient's intelligent terminal and communication module.The present invention is that a kind of personalized, energetic treatment means are associated with rehabilitation situation and can predict the stroke rehabilitation monitoring method and system of conditions of patients.
Description
Technical field
The present invention relates to apoplexy adjuvant treatment technical field more particularly to a kind of intelligent stroke rehabilitation monitoring method and it is
System.
Background technique
Apoplexy has become main main cause of the mankind because of disease death, is the formidable enemy for endangering human health.According to statistics, China
Annual about 23,000,000~34,000,000 people's apoplexy, about 1,300,000 people die of apoplexia disease.Apoplexy not only results in patient's not homotype
Enclose with different degrees of brain tissue damage, can also generate diversified neuropsychic symptom, it is serious can also threat to life, control
More there are sequelae by many patients after.
The rehabilitation of paralytic is a long-term and complicated process.Now currently, during stroke rehabilitation, Huan Zhedou
It is to be in carry out different rehabilitation training and treatment respectively with hospital according to the treatment plan of doctor's proposition, while needing periodically to arrive
Hospital carries out rehabilitation assessment, adjusts rehabilitation scheme according to rehabilitation situation.Such process exist can not monitor in time such as doctor and
The rehabilitation situation of managing patient, the assessment of doctor are based on rehabilitation situation and carry out experience judgement, the state of an illness of the unpredictable patient of doctor
Many deficiencies such as trend.Therefore, the rehabilitation of paralytic needs a kind of management method and system monitoring is effectively performed.
For example, a kind of apoplexy health based on EEG signals disclosed in the Chinese invention patent of Publication No. CN103258120A
Multiple level index calculation method.Invention first choice subject executes left/right hand motion artifacts task according to prompt, uses multichannel brain
Electrical signal collection equipment acquisition subject executes EEG signals when motion artifacts task.Then using going public average reference method
The level for reducing public noise eliminates eye electricity artefact using Independent Component Analysis, improves the signal-to-noise ratio of EEG signals, uses
Butterworth filter, which is extracted, is used for later analysis with the closely related frequency range data of motion artifacts task.Finally calculate brain function
The index of polyphenol of energy network, global digit rate attribute；Calculate the accuracy of motion artifacts task execution；Use brain function network attribute
With motion artifacts task accuracy as rehabilitation level index, calculated result is saved in private database.The invention can be objective
The rehabilitation situation of patient is evaluated, but being associated with for patient treatment and rehabilitation situation can not be established, can not predict that patient is
It is no to will appear complication.
For example, a kind of intelligence stroke rehabilitation system disclosed in the Chinese invention patent of Publication No. 107910069A.
The treatment system includes that data service platform, voice output control circuit, music output control circuit and massage acupuncture mode are defeated
Circuit out, wherein the data service platform includes mobile terminal and the server terminal with mobile terminal, the voice output
Control circuit, music output control circuit and massage acupuncture mode output circuit pass through built-in wireless communication module and mobile terminal
It is wirelessly connected.The intelligent stroke rehabilitation system of the disclosure of the invention can allow paralytic to be in can acceptable learning rehabilitation, language
The rehabilitation for three levels of rehabilitation and limb rehabilitating of saying, and help the executive condition and health of doctor's understanding patient outer court doctor's advice
Multiple situation can mitigate the burden of family numbers of patients and not influence the implementation of rehabilitation programme.However the system and not according to patient's
Otherness carries out personalized monitoring, and does not set up being associated with for treatment means and rehabilitation situation, can not predict that patient whether can
There is complication or conditions of patients tendency.
It can thus be seen that before the development of stroke rehabilitation method and system still in its infancy, a kind of personalized, energy
Quantified therapy means are associated with rehabilitation situation and can predict that the stroke rehabilitation monitoring method of conditions of patients tendency and system seem
It is very urgent.
Summary of the invention
For the deficiencies of the prior art, the present invention provides a kind of intelligent stroke rehabilitation monitoring method, the method is at least
It include: data analysis module by analyzing information acquisition module manually and/or automatically from medical institutions' intelligent terminal and/or patient
The collected patient base's information of intelligent terminal and/or patient medical record information and combine record is transferred from the medical expert system of cloud
The historical information database entered generates the first exclusive configuration file of patient with associated the form matches；The cloud Medical Technologist
System obtains the first exclusive configuration file from the data analysis module by communication module and stores；The data analysis
Module passes through will be artificial from medical institutions' intelligent terminal and/or patient's intelligent terminal by the information acquisition module
And/or in a period of time for arriving of automatic collection patient include but is not limited to medical information, physiologic information, behavioural information and/or
Environmental information is compared and analyzed with the described first exclusive configuration file, is generated in the form of associated and/or update second is exclusive
Configuration file；The cloud medical expert system passes through described second that the communication module is obtained from the data analysis module
Exclusive configuration file simultaneously stores；The cloud medical expert system is according to the described first exclusive configuration file and/or described second
There is including but not limited to patient treatment protocol, stroke index, state of an illness future trend, complication general in exclusive configuration file
The file of rate, rehabilitation probability and/or rehabilitation points for attention feeds back to medical institutions' intelligent terminal by the communication module
And/or patient's intelligent terminal.
According to a kind of preferred embodiment, the first exclusive configuration file is by following at least one method
: 1. the data analysis module is that the most important condition retrieves the historical information database according to stroke index, with institute
It states patient base's information and the patient medical record information matches generates；2. the data analysis module is primary according to type of stroke
Condition retrieves the historical information database, raw with patient base's information and the patient medical record information matches
At；3. the data analysis module is that the most important condition retrieves the historical information database according to the apoplexy time, with institute
It states patient base's information and the patient medical record information matches generates.
According to a kind of preferred embodiment, the second exclusive configuration file is generated and/or is updated by the following method；
Firstly, the data processing module in the data analysis module is to the medical information, the physiologic information, the behavioural information
And/or the environmental information be filtered, denoise and/or information fusion；Secondly, the data in the data analysis module are fitted
Module can to filtering, denoising and/or the fused physiologic information of information, the behavioural information, the treatment information and/
Or the environmental information carries out curve fitting, pattern fits and/or text are integrated；Finally, the curve, the figure and/or
The text and the described first exclusive configuration file carry out information comparison and generate and/or update.
According to a kind of preferred embodiment, the physiologic information is cured by least one of described information acquisition module
Instrument is treated to obtain by interruption acquisition；The behavioural information is led to by least one action sensor in the information acquisition module
Acquisition in real time is crossed to obtain.
According to a kind of preferred embodiment, the data analysis module is based on the collected institute of the information acquisition module
State physiologic information and/or the behavioural information can directly the communication module in time to medical institutions' intelligent terminal
And/or patient's intelligent terminal issues alarm signal and/or rescue signal.
According to a kind of preferred embodiment, patient base's information includes at least age, blood group and/or the property of patient
Not；The patient medical record information includes at least the illness historical information and/or household heredity factors of patient；The history information data
Library is including but not limited to similar medical record information and the family member's case history that will be collected by the cloud medical expert system
Information is screened, is classified, screening, data statistics and/or data are fitted and obtain.
According to a kind of preferred embodiment, the treatment information includes but is not limited to that medication ingredient, dosage, physics are controlled
Treat type and/or physiotherapy time；The physiologic information includes but is not limited to eeg signal, electromyography signal, blood pressure, blood
Sugar, blood lipid, the oxygen content of blood, respiratory rate and/or respiratory capacity；The behavioural information includes but is not limited to walk posture, face appearance
State and/or diet posture；The environmental information includes but is not limited to social environment, home environment and/or psychological environment.
According to a kind of preferred embodiment, the data processing module can believe the brain wave using wavelet transformation
Number it is filtered and is extracted rhythm and pace of moving things information, analyzes the electromyography signal also to obtain the characteristic index of electromyography signal；The data
Fitting module can based on treatment at least one of information described in correlation calculations respectively with one in the physiologic information
With one related coefficient in the behavioural information, judges optimal treatment means to be based on the related coefficient or treat hand
The combination of section.
According to a kind of preferred embodiment, the invention also discloses a kind of intelligent stroke rehabilitation monitor system, the systems
System is whole including data analysis module, information acquisition module, cloud medical expert system, medical institutions' intelligent terminal, patient's intelligence
End and communication module；Wherein, the data analysis module is for analyzing the information acquisition module manually and/or automatically from described
Medical institutions' intelligent terminal and/or the collected patient base's information of patient's intelligent terminal and/or patient medical record information are simultaneously
The of patient is generated in conjunction with the historical information database of typing is transferred from the medical expert system of cloud with associated the form matches
One exclusive configuration file；The data analysis module is used for the information acquisition module from medical institutions' intelligent terminal
And/or manually and/or automatically patient includes but is not limited to medical treatment letter to patient's intelligent terminal in collected a period of time
Breath, physiologic information, behavioural information and/or environmental information are compared and analyzed with the described first exclusive configuration file, with associated
Form generates and/or updates the second exclusive configuration file；The cloud medical expert system will be from institute by the communication module
It states the described first exclusive configuration file and the second exclusive configuration file that data analysis module obtains and stores；The cloud
Medical expert system, will be including but not limited to according to the described first exclusive configuration file and/or the second exclusive configuration file
Probability, rehabilitation probability and/or the rehabilitation points for attention that patient treatment protocol, stroke index, state of an illness future trend, complication occur
Equal files feed back to medical institutions' intelligent terminal and/or patient's intelligent terminal by the communication module.
According to a kind of preferred embodiment, when the data analysis module is according to stroke index or medical procedure or apoplexy
Between the historical information database is retrieved for the most important condition, with patient base's information and the patient medical record information
Matching generates the first exclusive configuration file；Data processing module in the data analysis module to the medical information,
The physiologic information, the behavioural information and/or the environmental information be filtered, denoises and/or information fusion；The data
Data fitting module in analysis module can be to filtering, denoising and/or the fused physiologic information of information, the behavior
Information, the treatment information and/or the environmental information carry out curve fitting, pattern fits and/or text are integrated；The song
Line, the figure and/or the text and the described first exclusive configuration file carry out information comparison and generate and/or described in updating
Second exclusive configuration file.The data analysis module be based on the collected physiologic information of the information acquisition module and/
Or the behavioural information passes through the communication module in time to directly to medical institutions' intelligent terminal and/or the patient
Intelligent terminal issues alarm signal and/or rescue signal.
The present invention provides a kind of searching method based on environmental information and system at least has the advantage that
(1) information of data analysis module combination historical information database refers to according to patient itself such as apoplexy time, apoplexy
The case where several or type of stroke, exports the first exclusive configuration file of patient, for the initial therapy suggestion of patient, so that patient
It can timely be treated in the early stage, prevent the deterioration of the state of an illness；
(2) data analysis module combine the first exclusive configuration file, according to the collected treatment information of information acquisition module,
Physiologic information, behavioural information and environmental information carry out comprehensive analysis, export the second exclusive configuration file of patient；And second is exclusive
Configuration file will be according to the collected treatment information of information acquisition module, physiologic information, behavioural information and ring every a period of time
Border information update, to track the stroke rehabilitation situation of patient, moreover it is possible to give patient treatment protocol, stroke index, state of an illness future
The associated documents such as probability, rehabilitation probability and/or the rehabilitation points for attention that tendency, complication occur；
(3) every act and every move of information acquisition module real time monitoring patient, preferably makes patient be in relative healths and safety
Environment in rehabilitation；Once and patient the urgent state of an illness occurs or the unstable state of an illness, data analysis module can be in time to family numbers of patients
Alarm signal and rescue signal are issued with medical institutions；
(4) data analysis module can analyze the treatment information correlation between physiologic information and behavioural information respectively,
So as to determine the combination of the treatment means or treatment means that are suitble to patient, so that patient can be from more painful, quick
Rehabilitation and short time are restored to safe condition；
(5) data analysis module has the function of data processing and data fitting, preferably information is integrated, is classified,
It screens and fitting, the state of an illness of patient is monitored in a manner of quantifiable, provide scientific suggestion for the rehabilitation of patient.
Detailed description of the invention
Fig. 1 is the module diagram of a preferred embodiment of system of the invention；With
Fig. 2 is the flow diagram of a preferred embodiment of method of the invention.
Reference signs list
10: information acquisition module 20: data analysis module
30: cloud medical expert system 50: medical institutions' intelligent terminal
60: patient's intelligent terminal
Specific embodiment
It 1,2 is described in detail with reference to the accompanying drawing.
In description of the invention, term " first ", is used for description purposes only " second ", and should not be understood as instruction or dark
Show relative importance or implicitly indicates the quantity of indicated technical characteristic.The feature of " first ", " second " is defined as a result,
It can explicitly or implicitly include one or more of the features.
Embodiment 1
The present embodiment provides a kind of intelligent stroke rehabilitation monitoring methods, in the case where not causing conflict or contradictory situation, other
The entirety and/or partial content of the preferred embodiment of embodiment can be used as the supplement of the present embodiment.Preferably, this method can
To be realized by system of the invention and/or other alternative modules.For example, by using each mould in system of the invention
Block realizes method of the invention.
Preferably, method the following steps are included:
S1: data analysis module 20 is manually and/or automatically whole from medical institutions' intelligence by analysis information acquisition module 10
End 50 and/or the collected patient base's information of patient's intelligent terminal 60 and/or patient medical record information are simultaneously combined from cloud medical treatment
The first exclusive configuration text that the historical information database of typing generates patient with associated the form matches is transferred in expert system 30
Part；Cloud medical expert system 30 obtains the first exclusive configuration file from data analysis module 20 by communication module and stores.
S2: data analysis module 20 is by will be by information acquisition module 10 from medical institutions' intelligent terminal 50 and/or patient
Intelligent terminal 60 manually and/or automatically in collected a period of time patient include but is not limited to medical information, physiologic information,
Behavioural information and/or environmental information are compared and analyzed with the first exclusive configuration file, are generated and/or are updated in the form of associated
Second exclusive configuration file；It is exclusive that cloud medical expert system 30 passes through communication module is obtained from data analysis module 20 second
Configuration file simultaneously stores.
S3: cloud medical expert system 30 will include according to the first exclusive configuration file and/or the second exclusive configuration file
But be not limited to patient treatment protocol, stroke index, state of an illness future trend, complication occur probability, rehabilitation probability and/or rehabilitation
The file of points for attention feeds back to medical institutions' intelligent terminal 50 and/or patient's intelligent terminal 60 by communication module.
Wherein, the first exclusive configuration file is by following at least one method: 1. data analysis module 20 according to
Stroke index is that the most important condition retrieves historical information database, raw with patient base's information and patient medical record information matches
At.2. data analysis module 20 is that the most important condition retrieves historical information database according to medical procedure, with patient base
Information and patient medical record information matches generate.3. data analysis module 20 is the most important condition to historical information number according to the apoplexy time
It is retrieved according to library, is generated with patient base's information and patient medical record information matches.
Wherein, the second exclusive configuration file is generated and/or is updated by the following method: firstly, in data analysis module 20
Data processing module medical information, physiologic information, behavioural information and/or environmental information are filtered, denoised and/or information
Fusion.Secondly, the data fitting module in data analysis module 20 can be to filtering, denoising and/or the fused physiology of information
Information, behavioural information, treatment information and/or environmental information carry out curve fitting, pattern fits and/or text are integrated.Finally, bent
Line, figure and/or text and the first exclusive configuration file carry out information comparison and generate and/or update.
Preferably, physiologic information is to be obtained by least one Medical Instruments in information acquisition module 10 by being interrupted acquisition
?.Preferably, physiologic information includes but is not limited to eeg signal, electromyography signal, blood pressure, blood glucose, blood lipid, the oxygen content of blood, exhales
Inhale frequency and/or respiratory capacity.According to the state of an illness of patient, patient also will do it the measurement of weight daily.Such as, pressure value daily every
It is acquired by blood pressure instrument within 4 hours, EEG signals are daily every 8 hours by eeg signal acquisition system acquisition, and electromyography signal is by daily
Every 8 hours eeg signal acquisition system acquisitions.
Preferably, behavioural information by information acquisition module 10 at least one action sensor and/or Image Acquisition set
It is standby to be obtained by acquisition in real time.Preferably, behavioural information includes but is not limited to walk posture, face posture and/or diet posture.
For example, the velocity and acceleration that the action sensor real time monitoring patient for being attached to patient legs walks；Specifically, pass through three axis
The acceleration that patient walks is calculated in the collected acceleration information of accelerometerAccording to integral
The speed of patient can be obtained；It for another example, can husband's random field models (MRF) analysis patient for being acquired by image capture device based on horse
Face posture, lip inclination angle and canthus inclination angle when such as laughing at.For another example, be attached to patient's arm action sensor acquire patient into
The dynamics of wrist when the action sensor of the angular speed of arm and speed and patient's wrist records patients diet when food.In addition, sleeping
The sleeping posture of room camera head monitor patient.
Preferably, patient base's information includes at least age, blood group and/or the gender of patient.Patient medical record information is at least
Illness historical information and/or household heredity factors including patient.Historical information database is by cloud medical expert system 30
Including but not limited to similar medical record information and the family member's medical record information that are collected into are screened, classified, screening, data system
Meter and/or data are fitted and obtain.For example, specifically, historical information database according to patient age [0,20), [and 20,40),
[40,55), [55,70), [70,90) and other carried out data statistics, and obtained the pie of the distribution of all ages and classes patient
Figure.For another example, the illness reason for causing apoplexy has been carried out data statistics and has obtained Plato by historical information database, and by Plato
The illness reason of first five obtained is classified as the apoplexy factor of selective analysis.For another example, historical information database will be in patient close relative
Extent is classified.
Preferably, treatment information includes but is not limited to medication ingredient, dosage, physiotherapy type and/or physiotherapy
Time.For example, specifically, patient carries out acupuncture and moxibustion therapy in 15 minutes at 9 points of the morning daily, oral large bolus for activating channels and collaterals 3 times daily, often
Secondary 1 ball.For another example, specifically, 15 minutes jogging exercises are also carried out after the daily supper of patient.
Preferably, environmental information includes but is not limited to social environment, home environment and/or psychological environment.
Preferably, data processing module can be filtered eeg signal using wavelet transformation and extract rhythm and pace of moving things letter
Breath.Specifically, using Daubeechies Orthogonal Wavelets, multi-resolution decomposition is carried out to collected EEG signals, is realized to brain
Electric signal is filtered and the extraction to brain wave rhythm (δ, θ, α, β).Wherein, Daubeechies constructs compactly support standard
The method of orthogonal wavelet uses the equation as shown in (1):
P(y)=PN(y)+yNR(y) (1)
In formula (1),N is natural number,
It is the odd times multinomial of y.Preferably, in Daubeechies construction,To
Preferably, data analysis module 20 is based on the collected physiologic information of information acquisition module and/or behavioural information energy
Enough directly communication modules in time to medical institutions' intelligent terminal 50 and/or patient's intelligent terminal 60 issue alarm signal and/or
Rescue signal.For example, when the δ wave of extraction has significant abnormal, data analysis module 20 can directly by communication module to
Medical institutions' intelligent terminal 50 issues rescue signal.Specifically, the δ wave in the δ wave of extract real-time and the second proprietary file of patient
When comparison, it was found that frequency increases and amplitude increases.
Preferably, data processing module analyzes electromyography signal to obtain the characteristic index of electromyography signal.For example, electromyography signal
Processing use AR model (auto-regressive model, autoregression model method), AR model is as typical parameter model
Method has the characteristics that frequency resolution is high.AR model needs signal meets short-term stationarity condition, i.e., in the signal segment of analysis
Interior held stationary, electromyography signal belong to the restrictive condition just.AR model is by randomness in signal analysis process and limited
Predictability combines.Electromyography signal by study AR model property and white noise by the input/output relation of system come
It completes, several coefficients for obtaining AR model can extract the property of electromyography signal.Specifically, the AR model of electromyography signal passes through formula
(2) it establishes:
In formula (2), βiFor the ith sample value of electromyography signal；ajIt indicates j-th of coefficient of AR model, collects the ginseng of AR model
Number niFor white noise residual error；P is the order of AR model.
By Yule-Walker equation, AR parameter a is found outj, shown in Yule-Walker equation such as formula (3):
Preferably, have a significant impact due to AR model order P to the performance tool that model identifies.A large number of experiments show that, P
That chooses is too low, and resolution ratio is too low；That chooses is too high, and Power estimation will appear spectrum separating phenomenon, and occur being not present in practice
Deceptive information.When order P is at range [2,4], signal analysis and recognition performance are more excellent, when order is 4, the analysis of signal and
Recognition performance is best.Preferably, the order of AR model is selected as 4 by the present embodiment, to obtain the model coefficient A=[a of AR1 a2
a3 a4]T。
Preferably, data fitting module can be believed with physiology respectively based at least one of correlation calculations treatment information
One in breath and one related coefficient in behavioural information, to judge optimal treatment means or treatment based on related coefficient
The combination of means.Preferably, the evaluation based on related coefficient uses Pearson correlation coefficient calculation formula, as shown in formula (4):
In formula (4), n is total number of sample points, Xi、YiI-th of sample value of respectively information X and Y；Representation manners X and
The mean value of Y.Preferably, specifically, patient is counted with regard to pressure value X and dosage Y respectively in one month, wherein XiTable
Show the pressure value of i-th day patient, XiIndicate the dosage of patient's i-th,Respectively patient in 30 days pressure value it is flat
The average value of mean value and dosage, so as to obtain the correlation of pressure value and dosage.Similarly, moreover it is possible to calculate pressure value and acupuncture
The correlation of duration and medication ingredient；When can also calculate one in the characteristic parameter (δ, θ, α, β) of EEG signals with acupuncture
Long and medication ingredient correlation.
The threshold value r that correlation is set according to historical information database recognizes when the correlation of two informations parameter is greater than r
There are strong correlations between information, anyway it is not present.So that the adjacency matrix of the brain function network of patient is constructed, with
It is preferred that going out to be adapted to the treatment means of patient.
Preferably, the rule of adjacency matrix building, as shown in formula (3):
αijIndicate the element of the i-th row and jth column infall in adjacency matrix；R is to set phase according to historical information database
The threshold value of closing property；rijIndicate the element of the i-th row and jth column infall in correlation matrix, i.e. information X and information Y.
Embodiment 2
The present embodiment provides a kind of intelligent stroke rehabilitation monitor systems, which is characterized in that system includes data analysis module
20, information acquisition module 10, cloud medical expert system 30, medical institutions' intelligent terminal 50, patient's intelligent terminal 60 and communication
Module.Wherein, data analysis module 20 is for analyzing information acquisition module 10 manually and/or automatically from medical institutions' intelligent terminal
It 50 and/or the collected patient base's information of patient's intelligent terminal 60 and/or patient medical record information and combines from cloud medical treatment specially
The first exclusive configuration file that the historical information database of typing generates patient with associated the form matches is transferred in family's system 30.
Data analysis module 20 is used for information acquisition module 10 is artificial from medical institutions' intelligent terminal 50 and/or patient's intelligent terminal 60
And/or in a period of time for arriving of automatic collection patient include but is not limited to medical information, physiologic information, behavioural information and/or
Environmental information is compared and analyzed with the first exclusive configuration file, and the second exclusive configuration is generated and/or updated in the form of associated
File.Cloud medical expert system 30 by communication module by the first exclusive configuration file obtained from data analysis module 20 and
Second exclusive configuration file simultaneously stores.Cloud medical expert system 30 is matched according to the first exclusive configuration file and/or second are exclusive
File is set, by including but not limited to patient treatment protocol, stroke index, state of an illness future trend, the probability of complication appearance, rehabilitation
The files such as probability and/or rehabilitation points for attention feed back to medical institutions' intelligent terminal 50 and/or patient's intelligence by communication module
Terminal 60.
Preferably, data analysis module is that the most important condition believes history according to stroke index or medical procedure or apoplexy time
Breath database is retrieved, and generates the first exclusive configuration file with patient base's information and patient medical record information matches.Data point
Analysing module includes data processing module and data fitting module；Wherein, data processing module is to medical information, physiologic information, row
Be filtered for information and/or environmental information, denoise and/or information fusion；Data fitting module is to filtering, denoising and/or letter
Cease fused physiologic information, behavioural information, treatment information and/or environmental information carry out curve fitting, pattern fits and/or text
This integration；Curve, figure and/or text and the first exclusive configuration file carry out information comparison and generate and/or update second specially
Belong to configuration file.Data analysis module is also based on the collected physiologic information of information acquisition module and/or behavioural information by leading to
Module is interrogated in time to directly to medical institutions' intelligent terminal and/or patient's intelligent terminal sending alarm signal and/or rescue letter
Number.
It should be noted that above-mentioned specific embodiment is exemplary, those skilled in the art can disclose in the present invention
Various solutions are found out under the inspiration of content, and these solutions also belong to disclosure of the invention range and fall into this hair
Within bright protection scope.It will be understood by those skilled in the art that description of the invention and its attached drawing are illustrative and are not
Constitute limitations on claims.Protection scope of the present invention is defined by the claims and their equivalents.
Claims (10)
1. a kind of intelligence stroke rehabilitation monitoring method, which is characterized in that the method includes at least:
Data analysis module (20) is by analysis information acquisition module (10) manually and/or automatically from medical institutions' intelligent terminal
(50) and/or the collected patient base's information of patient's intelligent terminal (60) and/or patient medical record information and combining is cured from cloud
It treats and transfers the historical information database of typing in expert system (30) and first exclusive match so that associated the form matches generate patient
Set file；The cloud medical expert system (30) obtains described first from the data analysis module (20) by communication module
Exclusive configuration file simultaneously stores；
The data analysis module (20) is by will be by the information acquisition module (10) from medical institutions' intelligent terminal
(50) and/or patient's intelligent terminal (60) manually and/or automatically in collected a period of time patient include but it is unlimited
It is compared and analyzed in medical information, physiologic information, behavioural information and/or environmental information and the described first exclusive configuration file,
The second exclusive configuration file is generated and/or updated in the form of associated；The cloud medical expert system (30) passes through described logical
It interrogates the described second exclusive configuration file that module is obtained from the data analysis module (20) and stores；
The cloud medical expert system (30) is according to the described first exclusive configuration file and/or the second exclusive configuration text
Part, probability, the rehabilitation probability that including but not limited to patient treatment protocol, stroke index, state of an illness future trend, complication are occurred
And/or the file of rehabilitation points for attention feeds back to medical institutions' intelligent terminal (50) and/or institute by the communication module
State patient's intelligent terminal (60).
2. intelligence stroke rehabilitation monitoring method as described in claim 1, which is characterized in that the first exclusive configuration file is
It is obtained by following at least one method:
1. the data analysis module (20) is that the most important condition retrieves the historical information database according to stroke index,
It is generated with patient base's information and the patient medical record information matches；
2. the data analysis module (20) is that the most important condition retrieves the historical information database according to type of stroke,
It is generated with patient base's information and the patient medical record information matches；
3. the data analysis module (20) is that the most important condition retrieves the historical information database according to the apoplexy time,
It is generated with patient base's information and the patient medical record information matches.
3. intelligence stroke rehabilitation monitoring method as claimed in claim 1 or 2, which is characterized in that the second exclusive configuration text
Part is generated and/or is updated by the following method；
Firstly, data processing module in the data analysis module (20) is to the medical information, physiologic information, described
Behavioural information and/or the environmental information be filtered, denoises and/or information fusion；
Secondly, the data fitting module in the data analysis module (20) can be fused to filtering, denoising and/or information
The physiologic information, the behavioural information, the treatment information and/or the environmental information carry out curve fitting, pattern fits
And/or text integration；
Finally, the curve, the figure and/or the text carry out information comparison with the described first exclusive configuration file and give birth to
At and/or update.
4. the intelligent stroke rehabilitation monitoring method as described in one of claim 1-3, which is characterized in that the physiologic information be by
At least one Medical Instruments in the information acquisition module (10) is obtained by interruption acquisition；The behavioural information is by the letter
At least one action sensor and/or image capture device ceased in acquisition module (10) is obtained by acquisition in real time.
5. the intelligent stroke rehabilitation monitoring method as described in one of claim 1-4, which is characterized in that the data analysis module
It (20) can be directly described logical based on the collected physiologic information of the information acquisition module and/or the behavioural information
Interrogate module in time to medical institutions' intelligent terminal (50) and/or patient's intelligent terminal (60) issue alarm signal and/
Or rescue signal.
6. the intelligent stroke rehabilitation monitoring method as described in one of claim 1-5, which is characterized in that patient base's information
Including at least the age of patient, blood group and/or gender；
The patient medical record information includes at least the illness historical information and/or household heredity factors of patient；
The historical information database is the including but not limited to phase that will be collected by the cloud medical expert system (30)
It screens, classify like medical record information and family member's medical record information, screening, data statistics and/or data are fitted and obtain.
7. the intelligent stroke rehabilitation monitoring method as described in one of claim 1-6, which is characterized in that the treatment information includes
But it is not limited to medication ingredient, dosage, physiotherapy type and/or physiotherapy time；
The physiologic information includes but is not limited to eeg signal, electromyography signal, blood pressure, blood glucose, blood lipid, the oxygen content of blood, breathing
Frequency and/or respiratory capacity；
The behavioural information includes but is not limited to walk posture, face posture and/or diet posture；
The environmental information includes but is not limited to social environment, home environment and/or psychological environment.
8. the intelligent stroke rehabilitation monitoring method as described in one of claim 1-7, which is characterized in that the data processing module
The eeg signal can be filtered and extract rhythm and pace of moving things information using wavelet transformation, additionally it is possible to analyze the electromyography signal
To obtain the characteristic index of electromyography signal；
The data fitting module can based at least one for the treatment of information described in correlation calculations respectively with the physiology
One in information and one related coefficient in the behavioural information, to judge optimal treatment based on the related coefficient
The combination of means or treatment means.
9. a kind of intelligence stroke rehabilitation monitor system, which is characterized in that the system comprises data analysis module (20), information to adopt
Collect module (10), cloud medical expert system (30), medical institutions' intelligent terminal (50), patient's intelligent terminal (60) and communication mould
Block；
Wherein, the data analysis module (20) is for analyzing the information acquisition module (10) manually and/or automatically from described
Medical institutions' intelligent terminal (50) and/or the collected patient base's information of patient's intelligent terminal (60) and/or disease
It goes through information and combines and transfer the historical information database of typing from cloud medical expert system (30) with associated the form matches
Generate the first exclusive configuration file of patient；
The data analysis module (20) is used for the information acquisition module (10) from medical institutions' intelligent terminal (50)
And/or manually and/or automatically patient includes but is not limited to cure to patient's intelligent terminal (60) in collected a period of time
It treats information, physiologic information, behavioural information and/or environmental information to compare and analyze with the described first exclusive configuration file, to close
The form of connection generates and/or updates the second exclusive configuration file；
The institute that the cloud medical expert system (30) will be obtained by the communication module from the data analysis module (20)
It states the first exclusive configuration file and the second exclusive configuration file and stores；
The cloud medical expert system (30) is according to the described first exclusive configuration file and/or the second exclusive configuration text
Part, probability, the rehabilitation probability that including but not limited to patient treatment protocol, stroke index, state of an illness future trend, complication are occurred
And/or the files such as rehabilitation points for attention feed back to medical institutions' intelligent terminal (50) and/or institute by the communication module
State patient's intelligent terminal (60).
10. intelligence stroke rehabilitation monitor system as claimed in claim 9, which is characterized in that the data analysis module according to
Stroke index or medical procedure or apoplexy time are that the most important condition retrieves the historical information database, with the patient
Basic information and the patient medical record information matches generate the first exclusive configuration file；
The data analysis module (20) includes data processing module and data fitting module；
Wherein, the data processing module is to the medical information, the physiologic information, the behavioural information and/or the ring
Border information is filtered, denoises and/or information fusion；The data fitting module is fused to filtering, denoising and/or information
The physiologic information, the behavioural information, the treatment information and/or the environmental information carry out curve fitting, pattern fits
And/or text integration；The curve, the figure and/or the text carry out information pair with the described first exclusive configuration file
Than and generate and/or update the described second exclusive configuration file；
The data analysis module (20) is also based on the collected physiologic information of the information acquisition module and/or the row
For information by the communication module in time to directly to medical institutions' intelligent terminal (50) and/or patient intelligence
Terminal (60) issues alarm signal and/or rescue signal.
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| CN109727669A (en) * | 2018-11-13 | 2019-05-07 | 合肥数翼信息科技有限公司 | A kind of paralytic's monitor system and method |
| CN111403025A (en) * | 2020-03-04 | 2020-07-10 | 杭州憶盛医疗科技有限公司 | Intelligent diagnosis and treatment system based on internet medical service |
| CN112786196A (en) * | 2021-02-02 | 2021-05-11 | 吕丽 | Intelligent nursing interaction system based on big data medical management |
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