CN102429651B - Multi-parameter-based intracranial pressure noninvasive detection method and device - Google Patents
Multi-parameter-based intracranial pressure noninvasive detection method and device Download PDFInfo
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Abstract
The invention provides a multi-parameter-based intracranial pressure noninvasive detection method and device. The method comprises the following steps of: pre-establishing an intracranial pressure evaluation function model for recording a function mapping relation between the change of the intracranial pressure and the changes of an electrocardiosignal, a visual evoked potential signal, a brain impedance signal and a transcranial Doppler ultrasonic signal and setting in a computer; and synchronously acquiring the electrocardiosignal, the visual evoked potential signal, the brain impedance signal and the transcranial Doppler ultrasonic signal into a computer and inputting the signals serving as the intracranial pressure evaluation function model to obtain the dynamic change process waveform of the intracranial pressure of an inspected object by performing multi-parameter and multi-direction operation. Due to the adoption of the method, invasive intracranial pressure detection is avoided; the device for implementing the method is easy to obtain; and meanwhile, various physiological and pathological signal parameters causing the change of the intracranial pressure are considered comprehensively in the intracranial pressure evaluation function model, so that the intracranial pressure noninvasive detection method has higher clinical detection accuracy.
Description
Technical field
The present invention relates to biomedical engineering technology and technical field of information processing, particularly a kind of intracranial pressure noninvasive detection method and device based on multiparameter.
Background technology
Intracranial hypertension is a main cause of secondary brain injury, its degree has been proved to be relevant with the degree of survival rate, permanent disfunction with the persistent period, particularly when intracranial volume-pressure curve reaches critical point, as long as intracranial volume generation slight variations, intracranial pressure will sharply increase, increase the weight of brain displacement and cerebral hernia, the depleted crisis of center of origin.So clinical intracranial pressure (Intracranial Pressure, ICP) monitoring is extremely important, be prevention and control intracranial hypertension, determine the basis of therapeutic scheme, also provide a kind of method of objective measurement Successful treatment simultaneously, but still had very many hospitals to carry out the ICP monitoring.Chief reason is that the ICP monitoring is that wound is arranged, and needs the professional to explain clinical data.The another one reason be the somewhat expensive that the wound monitoring intracranial pressure is arranged, and hospital is pressed with the wound monitoring cost from the expense that the patient collects far below intracranial there.Therefore, although ICP is widely accepted because of its clinical value, but the clinical practice that the wound monitoring intracranial pressure is arranged only limits to neurosurgery ICU and some section hospital uses, and can not be applied to general hospital, emergency room, outpatient service and the scene of the accident.Domestic present situation is that the reasonable front three of a lot of conditions hospital neurosurgery does not all have the wound that has of clinical use intracranial pressure to monitor.Therefore Noninvasive intracranial pressure method for monitoring and analyzing and equipment just provide a reasonable selection.
Yet at present, the non-invasive monitoring of intracranial pressure remains a global difficult problem, although the home and abroad has the patent of a lot of intracranial pressure noninvasive monitorings and document to occur, does not also have the matured product of U.S. FDA and European CE authentication at present, and its market prospect is vast; Though domestic have two releases to detect analyser based on the intracranial pressure noninvasive of flash visual evoked potential, but because this instrument of two all is based on single intracranial pressure noninvasive detection method, thereby unavoidably there is single intracranial pressure noninvasive detection side ratio juris defective.And also there is following deficiency in prior art: (a) signal processing method is more simple, and instrument repeatability degree is not high, needs the manual intervention diagnostic result; (b) theoretical research is not enough, and mathematical model is coarse, thereby the robustness of the intracranial hypertension situation that various disease is caused is not strong; (c) the open degree of instrument is inadequate, information management and ability to exchange a little less than; (d) existing method does not lie in them in the defective that exists aspect the intracranial pressure noninvasive monitoring and does not find the variable relevant with intracranial pressure, and is to lack the data processing equipment that these variablees of calibration obtain the true wave numerics of intracranial pressure.
Summary of the invention
For the prior art above shortcomings, the present invention is for providing a kind of intracranial pressure noninvasive detection method based on multiparameter, with the precision that improves the intracranial pressure noninvasive detection by quantitative, strengthen its clinical applicability.
For achieving the above object, the present invention has adopted following technological means:
Intracranial pressure noninvasive detection method based on multiparameter, specifically may further comprise the steps: set in advance intracranial pressure valuation functions model in computer, described intracranial pressure valuation functions model is for the relation of the Function Mapping between the variation of the variation of recording intracranial pressure and electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal; Then, electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal by the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the transcranial Doppler sonography detection module synchronous acquisition detected object that are connected with Computer Data Communication is to computer; At last, computer with electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of synchronous acquisition together as the input of intracranial pressure valuation functions model, obtain the intracranial pressure dynamic changing process waveform of detected object, show by computer.
In the above-mentioned intracranial pressure noninvasive detection method, further, described intracranial pressure valuation functions model is arranged in the computer after setting up by training, and the method that intracranial pressure valuation functions model is set up in training comprises the steps:
A1) the ecg signal acquiring module by being connected with Computer Data Communication, the visual evoked potential acquisition module, the electrocardiosignal of brain impedance collection module and transcranial Doppler sonography detection module synchronous acquisition training sample object, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal are to computer, the intracranial pressure dynamic changing process waveform of creating intracrenial pressure monitor synchronous acquisition training sample object reality is arranged to computer by what be connected with Computer Data Communication simultaneously
A2) select a plurality ofly to suffer from the patient of different intracranial pressure associated conditions respectively as the training sample object, by step a1) described method utilizes computer to obtain electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal, transcranial Doppler sonography signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 by analysis) in the Function Mapping relation between the variation of the variation of various signal parameters and intracranial pressure in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of a plurality of training sample objects of obtaining, and according to the variation of described various signal parameters the big or small degree of intracranial pressure variable effect is determined corresponding weights, then according to corresponding weights the Function Mapping between the variation of the variation of described various signal parameters and intracranial pressure is concerned to be weighted summation, namely obtain intracranial pressure valuation functions model.
In the above-mentioned intracranial pressure noninvasive detection method, further, described intracranial pressure valuation functions model is:
Wherein, V
ICP(t) represent intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of in time t dynamic change; N represents the kind sum of various signal parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, x
i(t) represent the i kind signal parameter of in time t dynamic change, i=1,2 ..., N; F (x
i(t)) the Function Mapping relation between the variation of the variation of expression i kind signal parameter and intracranial pressure; α
iRepresent the variation of i kind signal parameter to the corresponding weights of impact size of intracranial pressure variation,
In the above-mentioned intracranial pressure noninvasive detection method, further, individual of sample information database and individual penalty function in computer, have also been set in advance, described individual information data base is used for the individual information of the detected object of storage typing, and described individual penalty function is used for the Function Mapping relation that the record intracranial pressure detects the individual information of offset and detected object; After computer obtains the intracranial pressure dynamic changing process waveform of detected object by intracranial pressure valuation functions model, also the individual information of detected object is obtained intracranial pressure as the input of individual penalty function and detect offset, the recycling intracranial pressure detects offset the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object is compensated and corrected, behind the intracranial pressure dynamic changing process waveform of the detected object that obtains revising, show by computer.
In the above-mentioned intracranial pressure noninvasive detection method, further, described intracranial pressure detects offset and to the formula that the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform compensates and corrects is:
Wherein, V
NICP(t) represent intracranial pressure detected value in the revised intracranial pressure dynamic changing process of the compensation waveform of in time t dynamic change; N represents the kind sum of various signal parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, x
i(t) represent the i kind signal parameter of in time t dynamic change, i=1,2 ..., N; F (x
i(t)) the Function Mapping relation between the variation of the variation of expression i kind signal parameter and intracranial pressure; α
iRepresent the variation of i kind signal parameter to the corresponding weights of impact size of intracranial pressure variation, and
Δ
s(Y) expression detects offset by the intracranial pressure that individual information Y obtains.
Another object of the present invention is to provide a kind of device of realizing above-mentioned intracranial pressure noninvasive detection method, the present invention has adopted following technological means for this reason:
A kind of device of realizing aforesaid intracranial pressure noninvasive detection method, the ecg signal acquiring module that comprises computer and be connected with Computer Data Communication, visual evoked potential acquisition module, brain impedance collection module and transcranial Doppler sonography detection module;
Described ecg signal acquiring module is used for gathering the electrocardiosignal of detected object;
Described visual evoked potential acquisition module is used for gathering the Visual Evoked Potential Signal of detected object;
Described brain impedance collection module is used for gathering the brain impedance signal of detected object;
Described transcranial Doppler sonography detection module is used for gathering the transcranial Doppler sonography signal of detected object;
The default intracranial pressure valuation functions model that is equipped with in the described computer, described intracranial pressure valuation functions model is for the relation of the Function Mapping between the variation of the variation of recording intracranial pressure and electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal; Described computer can be by communicating with connection electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and transcranial Doppler sonography detection module synchronous acquisition detected object, then with synchronous electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal together as the input of intracranial pressure valuation functions model, obtain detected object intracranial pressure dynamic changing process waveform and shown.
In the said apparatus, further, also preset in the described computer and be equipped with individual of sample information database and individual penalty function, described individual information data base is used for the individual information of the detected object of storage typing, and described individual penalty function is used for the Function Mapping relation that the record intracranial pressure detects the individual information of offset and detected object; Computer can obtain intracranial pressure as the input of individual penalty function with the individual information of detected object and detect offset, utilize intracranial pressure to detect offset the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object is compensated and corrected, the intracranial pressure dynamic changing process waveform of the detected object that obtains revising is also shown.
In the said apparatus, further, described visual evoked potential acquisition module mainly is made of flasher, ground electrode, reference electrode, two brain electrode and current potential amplifying circuit of leading; Described flasher is connected with Computer Data Communication, can glimmer according to the control of computer; Described ground electrode and reference electrode are respectively applied to be arranged on human body head glabella and forehead hairline place, to gather earth potential and reference point position; Described two brain electrode that leads is used for being arranged on the left and right sides position of human body head occipital bone, to gather Visual Evoked Potential Signal; Described current potential amplifying circuit is electrically connected with ground electrode, reference electrode and two brain electrode that leads respectively, and is connected with compunication, is used for exporting computer to after the Visual Evoked Potential Signal amplification.
In the said apparatus, further, described brain impedance collection module mainly is made of exciting current circuit for generating, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuits and amplification modulate circuits; Described two exciting electrodes are used for being separately positioned on human body head occipital bone 1.5～2.5cm place, protruding grand top and 1.5～2.5cm place, place between the eyebrows top; Described exciting current circuit for generating is electrically connected with two exciting electrodes by the activation fragment buffer circuit, acts on human body head for generation of stimulating current and by two exciting electrodes; Described four acquisition electrodes are used for being separately positioned on the top of human body head two eyebrows and the left and right sides position of occipital bone, to gather the voltage signal after stimulating current acts on human body head; Amplifying modulate circuit is electrically connected with four acquisition electrodes by the collection terminal buffer circuit, and be connected with Computer Data Communication, conversion process be the brain impedance signal and export computer to after amplifying modulate circuit and the voltage signal of four acquisition electrode collections can being amplified.
Compared to existing technology, the present invention has following beneficial effect:
I, intracranial pressure noninvasive detection method of the present invention are utilized multi-signal parameter acquisition module, realize the synchronous acquisition of different physiology, pathological signals, improved the comprehensive and reasonability of intracranial pressure noninvasive comprehensive assessment framework and mode input information, thereby made intracranial pressure noninvasive detection method of the present invention have higher precision and better clinical applicability.
II, intracranial pressure noninvasive detection method of the present invention have adopted based on the intracranial pressure valuation functions model of multiparameter and have asked for intracranial pressure dynamic changing process waveform, so that the intracranial pressure testing result that noinvasive obtains reflects intracranial pressure more comprehensively with the situation of change of multiple physiology, pathological signals parameter, avoided the unsettled defective of single parameter intracranial pressure noninvasive detection method testing result.
III, conduct be improvement project further, intracranial pressure noninvasive detection method of the present invention is also introduced individual penalty function, obtain intracranial pressure with the individual information by detected object and detect offset, intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of detected object is compensated and corrected, further remedied the impact of individual variation on the intracranial pressure testing result, so that the method has better clinical applicability and robustness.
IV, the present invention realize that the device based on the intracranial pressure noninvasive detection method of multiparameter can adopt the circuit module of technology maturation to make up and form, and be simple in structure, cost is low, structure is convenient, greatly reduces simultaneously the difficulty of its clinical use.
V, the present invention realize the processing core of device take computer as the intracranial pressure testing result based on the intracranial pressure noninvasive detection method of multiparameter, can realize the detected object data storage, the functions such as the demonstration of intracranial pressure testing result, printing, and can make up data base management system (HIS system) manages, can also share data or realize remote detection and the consultation of doctors by networking and hospital information system, have good application prospect.
Description of drawings
Fig. 1 is that the present invention realizes the structured flowchart based on the device of the intracranial pressure noninvasive detection method of multiparameter;
Fig. 2 is the FB(flow block) that the present invention is based on the intracranial pressure noninvasive detection method of multiparameter;
Fig. 3 sets up the FB(flow block) of intracranial pressure valuation functions model for training;
Fig. 4 is the FB(flow block) of intracranial pressure noninvasive detection method improvement project of the present invention.
The specific embodiment
Below in conjunction with drawings and Examples technical scheme of the present invention is described further:
As shown in Figure 1, realization the present invention is based on the device of intracranial pressure noninvasive detection method of multiparameter mainly by computer and the multi-signal parameter acquisition module composition that is connected with Computer Data Communication, utilizes these signal parameter acquisition modules to realize the synchronous acquisition of different physiology, pathological signals; These signal parameter acquisition modules comprise the ecg signal acquiring module, the visual evoked potential acquisition module, brain impedance collection module and transcranial Doppler sonography detection module, carrying out data communication with computer respectively separately is connected, be used for gathering electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal are to computer, thereby with electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal are as the physiology relevant with intracranial pressure, the pathological signals parameter obtains corresponding intracranial pressure dynamic changing process waveform by intracranial pressure valuation functions model calculation.
Multi-channel data acquisition board can be installed as the multi-channel data interface on the computer, so that synchronous acquisition multi-signal data.
The ecg signal acquiring module mainly is made of three lead electrocardioelectrode and electrocardiosignal amplifying circuits, is used for gathering electrocardiosignal; Its circuit consists of with ECG signal sampling instrument signals collecting circuit structure partly is basic identical on the market, belongs to the circuit structure of technology maturation.
The visual evoked potential acquisition module can partly be made of flasher, ground electrode, reference electrode, two brain electrode that leads, current potential amplifying circuit etc.; Flasher can adopt led array to realize that flasher carries out data communication by the multi-channel data acquisition board on the computer and computer and is connected, and the control realization flashing function according to computer utilizes passage of scintillation light to stimulate human eye vision; Ground electrode and reference electrode are respectively applied to be arranged on human body head glabella and forehead hairline place, to gather earth potential and reference point position; Two brain electrodes that lead are used for being arranged on the left and right sides position of human body head occipital bone, to gather Visual Evoked Potential Signal; The current potential amplifying circuit can adopt the isolated amplification channel of the ISO.VEP-50 μ V of Beijing auspicious cloud computer technology company production, the current potential amplifying circuit is electrically connected with ground electrode, reference electrode and two brain electrode that leads respectively, and be connected with compunication by the multi-channel data acquisition board on the computer, export computer to after being used for will Visual Evoked Potential Signal amplifying.
Brain impedance collection module can be by exciting current circuit for generating, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuits, amplify modulate circuit etc. partly consists of; Two exciting electrodes are used for being separately positioned on human body head occipital bone 1.5～2.5cm place, protruding grand top and 1.5～2.5cm place, place between the eyebrows top; The exciting current circuit for generating is electrically connected with two exciting electrodes by the activation fragment buffer circuit, acts on human body head for generation of stimulating current and by two exciting electrodes, and stimulating current is generally the weak current of 20KHz～50KHz, amplitude＜4mA; Four acquisition electrodes are used for being separately positioned on the top of human body head two eyebrows and the left and right sides position of occipital bone, to gather the voltage signal after stimulating current acts on human body head; Amplifying modulate circuit is electrically connected with four acquisition electrodes by the collection terminal buffer circuit, and be connected with Computer Data Communication by the multi-channel data acquisition board on the computer, conversion process be the brain impedance signal and export computer to after amplifying modulate circuit and the voltage signal of four acquisition electrode collections can being amplified.
The transcranial Doppler sonography detection module then mainly amplifies demodulator circuit by the ultrasonic transduction probe, ultrasonic signal control unit and the broadband that are electrically connected successively and consists of; The ultrasonic signal control unit can be controlled the ultrasonic pulse signal that the ultrasonic transduction probe produces 2MHz, act on the middle cerebral artery of human body head, and utilize ultrasonic transduction probe to receive the echo-signal of blood vessel, amplify by ultrasonic signal control unit and broadband and obtain the transcranial Doppler sonography signal after demodulator circuit is processed; The broadband is amplified demodulator circuit and is connected with Computer Data Communication by the multi-channel data acquisition board on the computer, exports the transcranial Doppler sonography signal to computer.
Above-mentioned module all can adopt the circuit module of technology maturation to make up and forms, and is simple in structure, cost is low, structure is convenient, greatly reduces simultaneously the difficulty of clinical use.
Adopt above-mentioned device, can realize the present invention is based on the intracranial pressure noninvasive detection method of multiparameter, the flow process of the method as shown in Figure 2, its concrete steps are:
Set in advance intracranial pressure valuation functions model in computer, described intracranial pressure valuation functions model is for the relation of the Function Mapping between the variation of the variation of recording intracranial pressure and electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal;
Then, electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal by the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the transcranial Doppler sonography detection module synchronous acquisition detected object that are connected with Computer Data Communication is to computer;
At last, computer with electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of synchronous acquisition together as the input of intracranial pressure valuation functions model, obtain the intracranial pressure dynamic changing process waveform of detected object, show by computer.
In the above-mentioned intracranial pressure noninvasive detection method, the processing capacity of computer can be utilized the programming language realizations such as Visual C++6.0, and processing capacity software operation work on the operating system platforms such as Windows that programming obtains is to adapt to different client's needs.In the function treatment software of computer, can specially for these physiology, synchrodata logging modle of pathological signals structure of above-mentioned synchronous acquisition, realize synchronous recording and unified management to these physiology, pathological signals; Simultaneously, can specially for intracranial pressure testing result display interface module of demonstration structure of intracranial pressure dynamic changing process waveform, realize that intracranial pressure dynamic changing process waveform and associated signal parameter that detection is obtained show.And for intracranial pressure valuation functions model, the patient that then can select to suit is as the training sample object, from pathology and mechanics angle, utilize the ecg signal acquiring module, the visual evoked potential acquisition module, the electrocardiosignal of brain impedance collection module and transcranial Doppler sonography detection module synchronous acquisition training sample object, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal, utilize simultaneously the intracranial pressure dynamic changing process waveform that wound intracrenial pressure monitor synchronous acquisition training sample object reality is arranged that is connected with Computer Data Communication, then by data mining and analysis identification, extract the electrocardiosignal of the training sample object of different syndromes, Visual Evoked Potential Signal, dependency relation between the variation of various signal parameters and intracranial pressure change in brain impedance signal and the transcranial Doppler sonography signal obtains by the mathematical modeling structure.The flow process that intracranial pressure valuation functions model is set up in training as shown in Figure 3, concrete grammar is as follows:
A1) the ecg signal acquiring module by being connected with Computer Data Communication, the visual evoked potential acquisition module, the electrocardiosignal of brain impedance collection module and transcranial Doppler sonography detection module synchronous acquisition training sample object, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal are to computer, the intracranial pressure dynamic changing process waveform of creating intracrenial pressure monitor synchronous acquisition training sample object reality is arranged to computer by what be connected with Computer Data Communication simultaneously
A2) select a plurality ofly to suffer from the patient of different intracranial pressure associated conditions respectively as the training sample object, by step a1) described method utilizes computer to obtain electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal, transcranial Doppler sonography signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 by analysis) in the Function Mapping relation between the variation of the variation of various signal parameters and intracranial pressure in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of a plurality of training sample objects of obtaining, and according to the variation of described various signal parameters the big or small degree of intracranial pressure variable effect is determined corresponding weights, then according to corresponding weights the Function Mapping between the variation of the variation of described various signal parameters and intracranial pressure is concerned to be weighted summation, namely obtain intracranial pressure valuation functions model.
Training is set up in the process of intracranial pressure valuation functions model, why select the wound intracrenial pressure monitor to gather the intracranial pressure dynamic changing process waveform of training sample object, because the existing real intracranial pressure situation of change that has the wound intracrenial pressure monitor more can detect exactly the training sample object, avoid the deviation of data in the modeling to bring irremediable computing deviation to intracranial pressure valuation functions model, to guarantee the accuracy of intracranial pressure valuation functions model.And include many kinds of parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, such as the electrocardiosignal correspondence heart kinetic parameter etc. is arranged, Visual Evoked Potential Signal is to there being visual evoked potential parameter etc., the brain impedance signal is to there being brain impedance parameter etc., and the transcranial Doppler sonography signal is to there being cerebral artery blood flow kinetic parameter etc.These parameters all are pressed with closer contacting with intracranial, therefore, by the relation of these parameters of comprehensive consideration and intracranial pressure, can utilize these parameters to determine the variation of intracranial pressure.If the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of in time t dynamic change is designated as V
ICP(t), the kind of various signal parameters adds up to N in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, and the i kind signal parameter of in time t dynamic change is designated as x
i(t), i=1,2 ..., N, the Function Mapping relation between the variation of i kind signal parameter and the variation of intracranial pressure is designated as f (x
i(t)), the variation of i kind signal parameter is designated as α to the corresponding weights of impact size that intracranial pressure changes
i, and have
Then intracranial pressure valuation functions model can be expressed as:
After obtaining intracranial pressure valuation functions model, patient for intracranial pressure to be measured, then need not to have again the wound intracranial pressure to detect, but by detecting patient's electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal, carry out multiparameter, multi-faceted calculation process by intracranial pressure valuation functions model, namely arrive corresponding intracranial pressure dynamic changing process waveform, because the detection of electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal all is noninvasive, thereby realized the noinvasive of intracranial pressure is detected; Simultaneously, because this intracranial pressure valuation functions model generalization has been considered multiple physiology, the pathological signals parameter that causes that intracranial pressure changes, thereby intracranial pressure noninvasive detection method of the present invention has had higher Clinical detection precision.
As further improvement, in the processing capacity software of computer, all right individual of sample information database and individual penalty function, the individual information data base is used for the individual information of the detected object of storage typing, and individual penalty function is used for the Function Mapping relation that the record intracranial pressure detects the individual information of offset and detected object; This improvement project flow process as shown in Figure 4, after computer obtains the intracranial pressure dynamic changing process waveform of detected object by intracranial pressure valuation functions model, the individual information of detected object can be obtained intracranial pressure as the input of individual penalty function and detect offset, utilize intracranial pressure to detect offset the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object is compensated and corrected, the intracranial pressure dynamic changing process waveform of the detected object that obtains revising is also shown by computer.Intracranial pressure detects offset:
Wherein, V
NICP(t) represent intracranial pressure detected value in the revised intracranial pressure dynamic changing process of the compensation waveform of in time t dynamic change;
It is above-mentioned computer obtains detected object by intracranial pressure valuation functions model intracranial pressure dynamic changing process waveform; Δ
s(Y) expression detects offset by the intracranial pressure that individual information Y obtains.Individual information Y can comprise one or more information in the information such as the age, sex, body temperature, blood pressure, clinical disease, medicining condition of detected object, can determine according to the actual clinical needs.Intracranial pressure detects the offset Δ
s(Y) can be by long-term Clinical detection, diagnostic data, by virtue of experience analyzing Different Individual information obtains the impact of intracranial pressure variation, in order to further to remedy individual variation to the impact of intracranial pressure testing result, so that this intracranial pressure noninvasive detection method has better clinical applicability and robustness.
By above-mentioned analysis to software architecture as can be known, the present invention realizes the processing core of device take computer as the intracranial pressure testing result based on the intracranial pressure noninvasive detection method of multiparameter, can realize the Presentation Function of detected object data storage and intracranial pressure testing result; Therefore, the maturation of computer technology is used means, and can further programme and realize the printing function of intracranial pressure testing result, can also make up the data base management system manages, can share data or realize remote detection and the consultation of doctors by networking and hospital information system (HIS system), etc., have good application prospect.
Explanation is at last, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that, can make amendment or be equal to replacement technical scheme of the present invention, and not breaking away from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (8)
1. based on the intracranial pressure noninvasive detection method of multiparameter, it is characterized in that, specifically may further comprise the steps:
Set in advance intracranial pressure valuation functions model in computer, described intracranial pressure valuation functions model is for the relation of the Function Mapping between the variation of the variation of recording intracranial pressure and electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal;
Then, electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal by the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the transcranial Doppler sonography detection module synchronous acquisition detected object that are connected with Computer Data Communication is to computer;
At last, computer with electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of synchronous acquisition together as the input of intracranial pressure valuation functions model, obtain the intracranial pressure dynamic changing process waveform of detected object, show by computer;
Wherein, described intracranial pressure valuation functions model is arranged in the computer after setting up by training, and the method that intracranial pressure valuation functions model is set up in training comprises the steps:
A1) electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal by the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the transcranial Doppler sonography detection module synchronous acquisition training sample object that are connected with Computer Data Communication be to computer, simultaneously by the intracranial pressure dynamic changing process waveform that wound intracrenial pressure monitor synchronous acquisition training sample object reality is arranged that is connected with Computer Data Communication to computer;
A2) select a plurality ofly to suffer from the patient of different intracranial pressure associated conditions respectively as the training sample object, by step a1) described method utilizes computer to obtain electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal, transcranial Doppler sonography signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 by analysis) in the Function Mapping relation between the variation of the variation of various signal parameters and intracranial pressure in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of a plurality of training sample objects of obtaining, and according to the variation of described various signal parameters the big or small degree of intracranial pressure variable effect is determined corresponding weights, then according to corresponding weights the Function Mapping between the variation of the variation of described various signal parameters and intracranial pressure is concerned to be weighted summation, namely obtain intracranial pressure valuation functions model.
2. intracranial pressure noninvasive detection method according to claim 1 is characterized in that, described intracranial pressure valuation functions model is:
Wherein, V
ICP(t) represent intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of in time t dynamic change; N represents the kind sum of various signal parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, x
i(t) represent the i kind signal parameter of in time t dynamic change, i=1,2 ..., N; F (x
i(t)) the Function Mapping relation between the variation of the variation of expression i kind signal parameter and intracranial pressure; α
iRepresent the variation of i kind signal parameter to the corresponding weights of impact size of intracranial pressure variation, and
3. intracranial pressure noninvasive detection method according to claim 1, it is characterized in that, individual of sample information database and individual penalty function in computer, have also been set in advance, described individual information data base is used for the individual information of the detected object of storage typing, and described individual penalty function is used for the Function Mapping relation that the record intracranial pressure detects the individual information of offset and detected object; After computer obtains the intracranial pressure dynamic changing process waveform of detected object by intracranial pressure valuation functions model, also the individual information of detected object is obtained intracranial pressure as the input of individual penalty function and detect offset, the recycling intracranial pressure detects offset the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object is compensated and corrected, behind the intracranial pressure dynamic changing process waveform of the detected object that obtains revising, show by computer.
4. intracranial pressure noninvasive detection method according to claim 3 is characterized in that, described intracranial pressure detects offset and to the formula that the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform compensates and corrects is:
Wherein, V
NICP(t) represent intracranial pressure detected value in the revised intracranial pressure dynamic changing process of the compensation waveform of in time t dynamic change; N represents the kind sum of various signal parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, x
i(t) represent the i kind signal parameter of in time t dynamic change, i=1,2 ..., N; F (x
i(t)) the Function Mapping relation between the variation of the variation of expression i kind signal parameter and intracranial pressure; α
iRepresent the variation of i kind signal parameter to the corresponding weights of impact size of intracranial pressure variation, and
△
s(Y) expression detects offset by the intracranial pressure that individual information Y obtains.
5. device of realizing intracranial pressure noninvasive detection method as claimed in claim 1, it is characterized in that the ecg signal acquiring module that comprises computer and be connected with Computer Data Communication, visual evoked potential acquisition module, brain impedance collection module and transcranial Doppler sonography detection module;
Described ecg signal acquiring module is used for gathering the electrocardiosignal of detected object;
Described visual evoked potential acquisition module is used for gathering the Visual Evoked Potential Signal of detected object;
Described brain impedance collection module is used for gathering the brain impedance signal of detected object;
Described transcranial Doppler sonography detection module is used for gathering the transcranial Doppler sonography signal of detected object;
The default intracranial pressure valuation functions model that is equipped with in the described computer, described intracranial pressure valuation functions model is for the relation of the Function Mapping between the variation of the variation of recording intracranial pressure and electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal; Described computer can be by communicating with connection electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal of ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and transcranial Doppler sonography detection module synchronous acquisition detected object, then with synchronous electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and transcranial Doppler sonography signal together as the input of intracranial pressure valuation functions model, obtain detected object intracranial pressure dynamic changing process waveform and shown;
Described intracranial pressure valuation functions model is:
Wherein, V
ICP(t) represent intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of in time t dynamic change; N represents the kind sum of various signal parameters in electrocardiosignal, Visual Evoked Potential Signal, brain impedance signal and the transcranial Doppler sonography signal, x
i(t) represent the i kind signal parameter of in time t dynamic change, i=1,2 ..., N; F (x
i(t)) the Function Mapping relation between the variation of the variation of expression i kind signal parameter and intracranial pressure; α
iRepresent the variation of i kind signal parameter to the corresponding weights of impact size of intracranial pressure variation, and
6. device according to claim 5, it is characterized in that, also preset in the described computer and be equipped with individual of sample information database and individual penalty function, described individual information data base is used for the individual information of the detected object of storage typing, and described individual penalty function is used for the Function Mapping relation that the record intracranial pressure detects the individual information of offset and detected object; Computer can obtain intracranial pressure as the input of individual penalty function with the individual information of detected object and detect offset, utilize intracranial pressure to detect offset the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object is compensated and corrected, the intracranial pressure dynamic changing process waveform of the detected object that obtains revising is also shown.
7. according to claim 5 or 6 described devices, it is characterized in that described visual evoked potential acquisition module mainly is made of flasher, ground electrode, reference electrode, two brain electrode and current potential amplifying circuit of leading; Described flasher is connected with Computer Data Communication, can glimmer according to the control of computer; Described ground electrode and reference electrode are respectively applied to be arranged on human body head glabella and forehead hairline place, to gather earth potential and reference potential; Described two brain electrode that leads is used for being arranged on the left and right sides position of human body head occipital bone, to gather Visual Evoked Potential Signal; Described current potential amplifying circuit is electrically connected with ground electrode, reference electrode and two brain electrode that leads respectively, and is connected with compunication, is used for exporting computer to after the Visual Evoked Potential Signal amplification.
8. according to claim 5 or 6 described devices, it is characterized in that described brain impedance collection module mainly is made of exciting current circuit for generating, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuits and amplification modulate circuits; Described two exciting electrodes are used for being separately positioned on human body head occipital bone 1.5～2.5cm place, protruding grand top and 1.5～2.5cm place, place between the eyebrows top; Described exciting current circuit for generating is electrically connected with two exciting electrodes by the activation fragment buffer circuit, acts on human body head for generation of stimulating current and by two exciting electrodes; Described four acquisition electrodes are used for being separately positioned on the top of human body head two eyebrows and the left and right sides position of occipital bone, to gather the voltage signal after stimulating current acts on human body head; Amplifying modulate circuit is electrically connected with four acquisition electrodes by the collection terminal buffer circuit, and be connected with Computer Data Communication, conversion process be the brain impedance signal and export computer to after amplifying modulate circuit and the voltage signal of four acquisition electrode collections can being amplified.
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| CN102670252B (en) * | 2012-05-31 | 2013-11-27 | 重庆朗普科技有限公司 | Intracranial pressure non-invasive measuring method and system |
| CN103149438A (en) * | 2013-01-24 | 2013-06-12 | 上海帝仪科技有限公司 | Brain electrical contacting resistance detection method and device |
| CN103211585A (en) * | 2013-04-07 | 2013-07-24 | 北京海利赢医疗科技有限公司 | Multiparameter monitoring and analyzing system |
| CN103610456B (en) * | 2013-12-08 | 2015-06-10 | 季忠 | Brain pressure non-invasive monitoring analysis system based on physiological signal characteristic parameters |
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| CN110507307B (en) * | 2019-08-30 | 2021-12-28 | 重庆博恩富克医疗设备有限公司 | Noninvasive intracranial pressure monitoring device and method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002041750A2 (en) * | 2000-11-27 | 2002-05-30 | Sound Technique Systems L.L.C. | Non-invasive cerebral spinal fluid pressure monitor apparatus and method |
| WO2003084394A1 (en) * | 2002-04-04 | 2003-10-16 | The Government Of The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration (Nasa) | Method and apparatus for determining changes in intracranial pressure utilizing measurement of the circumferential expansion or contraction of a patient's skull |
| CN101224108A (en) * | 2007-01-18 | 2008-07-23 | 北京大学人民医院 | Noninvasive intracranial pressure monitoring equipment |
| CN101627905A (en) * | 2009-07-30 | 2010-01-20 | 季忠 | Noninvasive integrative monitoring analytical method and noninvasive integrative monitoring analytic device for intracranial pressure |
| CN201564473U (en) * | 2009-12-31 | 2010-09-01 | 重庆大学 | Non-invasive intracranial pressure detector |
-
2011
- 2011-08-15 CN CN 201110233593 patent/CN102429651B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002041750A2 (en) * | 2000-11-27 | 2002-05-30 | Sound Technique Systems L.L.C. | Non-invasive cerebral spinal fluid pressure monitor apparatus and method |
| WO2003084394A1 (en) * | 2002-04-04 | 2003-10-16 | The Government Of The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration (Nasa) | Method and apparatus for determining changes in intracranial pressure utilizing measurement of the circumferential expansion or contraction of a patient's skull |
| CN101224108A (en) * | 2007-01-18 | 2008-07-23 | 北京大学人民医院 | Noninvasive intracranial pressure monitoring equipment |
| CN101627905A (en) * | 2009-07-30 | 2010-01-20 | 季忠 | Noninvasive integrative monitoring analytical method and noninvasive integrative monitoring analytic device for intracranial pressure |
| CN201564473U (en) * | 2009-12-31 | 2010-09-01 | 重庆大学 | Non-invasive intracranial pressure detector |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103536285A (en) * | 2013-10-17 | 2014-01-29 | 中国人民解放军***总医院 | Papillary reflex based portable intracranial pressure noninvasive detection device |
| CN103536285B (en) * | 2013-10-17 | 2015-09-09 | 中国人民解放军***总医院 | A kind of portable intracranial pressure noninvasive checkout gear based on pupillary reflex |
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