CN102429651A - Multi-parameter-based intracranial pressure noninvasive detection method and device - Google Patents
Multi-parameter-based intracranial pressure noninvasive detection method and device Download PDFInfo
- Publication number
- CN102429651A CN102429651A CN2011102335932A CN201110233593A CN102429651A CN 102429651 A CN102429651 A CN 102429651A CN 2011102335932 A CN2011102335932 A CN 2011102335932A CN 201110233593 A CN201110233593 A CN 201110233593A CN 102429651 A CN102429651 A CN 102429651A
- Authority
- CN
- China
- Prior art keywords
- intracranial pressure
- signal
- computer
- evoked potential
- visual evoked
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0808—Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of the brain
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Neurology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
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 noinvasive 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 reached 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, confirm the basis of therapeutic scheme, also provide a kind of simultaneously and has objectively weighed the successfully method of treatment, guard but still have much more very hospitals not carry out ICP.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 expensive that the wound monitoring intracranial pressure is arranged, and hospital is pressed with wound monitoring cost from the expense that the patient collects far below intracranial there.Therefore; Though 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, though the home and abroad has the patent of a lot of intracranial pressure non-invasive 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 families to release the intracranial pressure noinvasive check and analysis appearance based on flash visual evoked potential; But because the instrument of these two families all is based on single intracranial pressure noinvasive detection method, thereby unavoidably there is single intracranial pressure noinvasive 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 not enough, 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 non-invasive 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
To the above-mentioned deficiency that prior art exists, the present invention provides a kind of intracranial pressure noinvasive detection method based on multiparameter, to improve precision that the intracranial pressure non-invasive quantitative detects, to strengthen its clinical applicability.
For realizing above-mentioned purpose, the present invention has adopted following technological means:
Intracranial pressure noinvasive detection method based on multiparameter; Specifically may further comprise the steps: intracranial pressure valuation functions model is set in computer in advance, and said intracranial pressure valuation functions model is used to write down the Function Mapping relation between the variation of variation and electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal of intracranial pressure; Then, electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD 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 TCD 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 through computer.
In the above-mentioned intracranial pressure noinvasive detection method, further, said intracranial pressure valuation functions model is arranged in the computer after setting up through 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 TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD detection module synchronous acquisition training sample object that are connected with Computer Data Communication is to computer; The actual intracranial pressure dynamic changing process waveform of wound intracrenial pressure monitor synchronous acquisition training sample object is arranged to computer through what be connected simultaneously with Computer Data Communication
A2) select a plurality of patients that suffer from different intracranial pressure associated conditions respectively as the training sample object, through step a1) described method utilizes computer to obtain electrocardiosignal, visual evoked potential signal, brain impedance signal, TCD signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 through analysis) in the Function Mapping relation between the variation of variation and the intracranial pressure of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of a plurality of training sample objects of obtaining; And the extent of intracranial pressure variable effect is confirmed corresponding weights according to the variation of said various signal parameters; According to corresponding weights the Function Mapping between the variation of the variation of said various signal parameters and intracranial pressure is concerned then and carry out weighted sum, promptly obtain intracranial pressure valuation functions model.
In the above-mentioned intracranial pressure noinvasive detection method, further, said intracranial pressure valuation functions model is:
Wherein, V
ICP(t) represent intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of t dynamic change in time; N representes the kind sum of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal, x
i(t) represent the i kind signal parameter of t dynamic change in time, 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 influence size pairing weights of the variation of i kind signal parameter to the intracranial pressure variation,
In the above-mentioned intracranial pressure noinvasive detection method; Further; In computer, also be provided with sample individual information data base and individual penalty function in advance; Said individual information data base is used to store the individual information of the detected object of typing, and said individual penalty function is used to write down the Function Mapping that intracranial pressure detects offset and the individual information of detected object and concerns; After computer obtains the intracranial pressure dynamic changing process waveform of detected object through 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; Utilizing intracranial pressure to detect offset again compensates and corrects the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object; Behind the intracranial pressure dynamic changing process waveform of the detected object that obtains revising, show through computer.
In the above-mentioned intracranial pressure noinvasive detection method, further, said 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 t dynamic change in time; N representes the kind sum of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal, x
i(t) represent the i kind signal parameter of t dynamic change in time, 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 influence size pairing weights of the variation of i kind signal parameter to the 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 noinvasive detection method, the present invention has adopted following technological means for this reason:
A kind of device of realizing aforesaid intracranial pressure noinvasive detection method, the ecg signal acquiring module that comprises computer and be connected, visual evoked potential acquisition module, brain impedance collection module and TCD detection module with Computer Data Communication;
Said ecg signal acquiring module is used to gather the electrocardiosignal of detected object;
Said visual evoked potential acquisition module is used to gather the visual evoked potential signal of detected object;
Said brain impedance collection module is used to gather the brain impedance signal of detected object;
Said TCD detection module is used to gather the TCD signal of detected object;
The variation that the preset intracranial pressure valuation functions model that is equipped with in the said computer, said intracranial pressure valuation functions model are used to write down intracranial pressure concerns with Function Mapping between the variation of electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal; Said computer can be through communicating with connection electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and TCD detection module synchronous acquisition detected object; Then with synchronous electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal together as the input of intracranial pressure valuation functions model, obtain detected object intracranial pressure dynamic changing process waveform and show.
In the said apparatus; Further; Also preset sample individual information data base and the individual penalty function of being equipped with in the said computer; Said individual information data base is used to store the individual information of the detected object of typing, and said individual penalty function is used to write down the Function Mapping that intracranial pressure detects offset and the individual information of detected object and concerns; 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 also shows.
In the said apparatus, further, said visual evoked potential acquisition module mainly is made up of flasher, ground electrode, reference electrode, two brain electrode and current potential amplifying circuit of leading; Said flasher is connected with Computer Data Communication, can glimmer according to the control of computer; Said ground electrode and reference electrode are respectively applied for and are arranged on human body head glabella and forehead hairline place, to gather earth potential and reference point position; Said two brain electrode that leads is used to be arranged on the left and right sides position of human body head occipital bone, to gather the visual evoked potential signal; Said 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 amplification of visual evoked potential signal.
In the said apparatus, further, said brain impedance collection module mainly is made up of exciting current generation circuit, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuit and amplifying and conditioning circuit; Said two exciting electrodes are used to be 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; Said exciting current generation circuit is electrically connected with two exciting electrodes through the activation fragment buffer circuit, is used to produce stimulating current and acts on human body head through two exciting electrodes; Said four acquisition electrodes are used to be 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 and conditioning circuit is electrically connected with four acquisition electrodes through the collection terminal buffer circuit; And be connected with Computer Data Communication, amplifying and conditioning circuit can be amplified the voltage signal of four acquisition electrode collections the back conversion process and is the brain impedance signal and export computer to.
Compare prior art, the present invention has following beneficial effect:
I, intracranial pressure noinvasive detection method of the present invention are utilized multiple signal parameter acquisition module; Realize the synchronous acquisition of different physiology, pathological signals; Improved the comprehensive and reasonability of intracranial pressure noinvasive comprehensive assessment framework and model input information, thereby made intracranial pressure noinvasive detection method of the present invention have higher precision and better clinical applicability.
II, intracranial pressure noinvasive detection method of the present invention have adopted based on the intracranial pressure valuation functions model of multiparameter asks for intracranial pressure dynamic changing process waveform; The intracranial pressure testing result that makes noinvasive obtain reflects the situation of change of intracranial pressure with multiple physiology, pathological signals parameter more comprehensively, has avoided the unsettled defective of single parameter intracranial pressure noinvasive detection method testing result.
III, conduct be improvement project further; Intracranial pressure noinvasive detection method of the present invention is also introduced individual penalty function; Obtain intracranial pressure with individual information and detect offset through detected object; Intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of detected object compensates and corrects, and has further remedied the influence of individual variation to the intracranial pressure testing result, makes this method have better clinical applicability and robustness.
IV, the present invention realize that the device based on the intracranial pressure noinvasive 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 the difficulty of its clinical use simultaneously.
V, the present invention realize that the device based on the intracranial pressure noinvasive detection method of multiparameter is its processing core of intracranial pressure testing result with the computer; Can realize the storage of detected object data; Functions such as the demonstration of intracranial pressure testing result, printing; And can make up data base management system (HIS system) and manage, can also perhaps realize the remote detection and the consultation of doctors, have good application prospects through networking and hospital information system shared data.
Description of drawings
Fig. 1 is the structured flowchart of the present invention's realization based on the device of the intracranial pressure noinvasive detection method of multiparameter;
Fig. 2 is the FB(flow block) that the present invention is based on the intracranial pressure noinvasive 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 noinvasive detection method improvement project of the present invention.
The specific embodiment
Below in conjunction with accompanying drawing and embodiment technical scheme of the present invention is described further:
As shown in Figure 1; The device that realization the present invention is based on the intracranial pressure noinvasive detection method of multiparameter mainly is made up of computer and the multiple signal parameter acquisition module 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 ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and TCD detection module; Carrying out data communication with computer respectively separately is connected; Be used to gather electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal to computer; Thereby electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal as the physiology relevant with intracranial pressure, pathological signals parameter, are obtained corresponding intracranial pressure dynamic changing process waveform through intracranial pressure valuation functions model calculation.
The multi-channel data acquisition card can be installed as the multi-channel data interface on the computer, so that the multiple signal data of synchronous acquisition.
The ecg signal acquiring module mainly is made up of three lead electrocardioelectrode and electrocardiosignal amplifying circuits, is used to gather electrocardiosignal; Its circuit constitutes with electrocardiosignal detector 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 up 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 through multi-channel data acquisition card 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 for and are 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 to be arranged on the left and right sides position of human body head occipital bone, to gather the 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 through the multi-channel data acquisition card on the computer, be used for exporting computer to after the amplification of visual evoked potential signal.
Brain impedance collection module can partly be made up of exciting current generation circuit, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuit, amplifying and conditioning circuit etc.; Two exciting electrodes are used to be 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; Exciting current generation circuit is electrically connected with two exciting electrodes through the activation fragment buffer circuit, is used to produce stimulating current and acts on human body head through two exciting electrodes, and stimulating current is generally the weak current of 20KHz～50KHz, amplitude＜4mA; Four acquisition electrodes are used to be 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 and conditioning circuit is electrically connected with four acquisition electrodes through the collection terminal buffer circuit; And is connected with Computer Data Communication through the multi-channel data acquisition card on the computer, amplifying and conditioning circuit can with the voltage signal amplification of four acquisition electrode collections afterwards conversion process be the brain impedance signal and export computer to.
The TCD 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 constitutes; 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, obtain the TCD signal after amplifying the demodulator circuit processing through ultrasonic signal control unit and broadband; The broadband is amplified demodulator circuit and is connected with Computer Data Communication through the multi-channel data acquisition card on the computer, exports the TCD 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 the difficulty of clinical use simultaneously.
Adopt above-mentioned device, can realize the present invention is based on the intracranial pressure noinvasive detection method of multiparameter, the flow process of this method is as shown in Figure 2, and its concrete steps are:
Intracranial pressure valuation functions model is set in computer in advance, and said intracranial pressure valuation functions model is used to write down the Function Mapping relation between the variation of variation and electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal of intracranial pressure;
Then, electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD 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 TCD 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 through computer.
In the above-mentioned intracranial pressure noinvasive detection method, the processing capacity of computer can be utilized programming language realizations such as Visual C++6.0, and processing capacity software operation work on 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 realize synchronous recording and unified management specially to these physiology, synchrodata logging modle of pathological signals structure of above-mentioned synchronous acquisition to these physiology, pathological signals; Simultaneously, can realize that intracranial pressure dynamic changing process waveform and associated signal parameter that detection is obtained show specially to intracranial pressure testing result display interface module of demonstration structure of intracranial pressure dynamic changing process waveform.And for intracranial pressure valuation functions model; The patient that then can select to suit is as the training sample object; From pathology and biomechanics angle; Utilize electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and TCD detection module synchronous acquisition training sample object; Utilize 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 simultaneously; Discern with analyzing through data mining then; Dependency relation between variation and the intracranial pressure that extracts various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of the training sample object of different syndromes changes makes up through mathematical modeling and to obtain.Train the flow process of setting up intracranial pressure valuation functions model as shown in Figure 3, concrete grammar is following:
A1) electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD detection module synchronous acquisition training sample object that are connected with Computer Data Communication is to computer; The actual intracranial pressure dynamic changing process waveform of wound intracrenial pressure monitor synchronous acquisition training sample object is arranged to computer through what be connected simultaneously with Computer Data Communication
A2) select a plurality of patients that suffer from different intracranial pressure associated conditions respectively as the training sample object, through step a1) described method utilizes computer to obtain electrocardiosignal, visual evoked potential signal, brain impedance signal, TCD signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 through analysis) in the Function Mapping relation between the variation of variation and the intracranial pressure of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of a plurality of training sample objects of obtaining; And the extent of intracranial pressure variable effect is confirmed corresponding weights according to the variation of said various signal parameters; According to corresponding weights the Function Mapping between the variation of the variation of said various signal parameters and intracranial pressure is concerned then and carry out weighted sum, promptly obtain intracranial pressure valuation functions model.
Training is set up in the process of intracranial pressure valuation functions model; Why select for use the wound intracrenial pressure monitor to gather the intracranial pressure dynamic changing process waveform of training sample object; Be because the existing real intracranial pressure situation of change that has the wound intracrenial pressure monitor more can detect the training sample object exactly; Avoid the deviation of data in the modeling to bring irremediable computing deviation for intracranial pressure valuation functions model, to guarantee the accuracy of intracranial pressure valuation functions model.And include multiple parameter in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal; For example the electrocardiosignal correspondence has heart kinetic parameter etc.; The 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 TCD signal is to there being cerebral artery blood flow kinetic parameter etc.These parameters all are pressed with closer getting in touch with intracranial, therefore, through the relation of these parameters of comprehensive consideration and intracranial pressure, promptly can utilize these parameters to confirm the variation of intracranial pressure.If the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of t dynamic change in time 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 TCD signal, and the i kind signal parameter of t dynamic change in time 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 pairing weights of influence 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, carry out multiparameter, multi-faceted calculation process by intracranial pressure valuation functions model through detecting patient's electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal, promptly arrive corresponding intracranial pressure dynamic changing process waveform; Because the detection of electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD 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 noinvasive detection method of the present invention has had higher Clinical detection precision.
As further improvement; In the processing capacity software of computer; All right sample individual information data base and individual penalty function; The individual information data base is used to store the individual information of the detected object of typing, and individual penalty function is used to write down the Function Mapping that intracranial pressure detects offset and the individual information of detected object and concerns; This improvement project flow process is as shown in Figure 4; After computer obtains the intracranial pressure dynamic changing process waveform of detected object through intracranial pressure valuation functions model; Can the individual information of detected object 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 t dynamic change in time;
It is above-mentioned computer obtains detected object through 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 confirm according to the actual clinical needs.Intracranial pressure detects the offset Δ
s(Y) can be by secular Clinical detection, diagnostic data; By virtue of experience analyze the influence that Different Individual information changes intracranial pressure and obtain; In order to further to remedy the influence of individual variation, make this intracranial pressure noinvasive detection method have better clinical applicability and robustness to the intracranial pressure testing result.
Can know through above-mentioned analysis software architecture; The present invention realizes that the device based on the intracranial pressure noinvasive detection method of multiparameter is its processing core of intracranial pressure testing result with the computer, can realize the storage of detected object data and the Presentation Function of intracranial pressure testing result; Therefore; Maturation by 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 and manage, can perhaps realize the remote detection and the consultation of doctors through networking and hospital information system (HIS system) shared data; Or the like, have good application prospects.
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 specified, those of ordinary skill in the art should be appreciated that and can make amendment or be equal to replacement technical scheme of the present invention; And not breaking away from the aim and the scope of technical scheme of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (9)
1. based on the intracranial pressure noinvasive detection method of multiparameter, it is characterized in that, specifically may further comprise the steps:
Intracranial pressure valuation functions model is set in computer in advance, and said intracranial pressure valuation functions model is used to write down the Function Mapping relation between the variation of variation and electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal of intracranial pressure;
Then, electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD 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 TCD 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 through computer.
2. intracranial pressure noinvasive detection method according to claim 1 is characterized in that, said intracranial pressure valuation functions model is arranged in the computer after setting up through 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 TCD signal through the ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and the TCD detection module synchronous acquisition training sample object that are connected with Computer Data Communication is to computer; The actual intracranial pressure dynamic changing process waveform of wound intracrenial pressure monitor synchronous acquisition training sample object is arranged to computer through what be connected simultaneously with Computer Data Communication
A2) select a plurality of patients that suffer from different intracranial pressure associated conditions respectively as the training sample object, through step a1) described method utilizes computer to obtain electrocardiosignal, visual evoked potential signal, brain impedance signal, TCD signal and the intracranial pressure dynamic changing process waveform of these a plurality of training sample objects;
A3) extract step a2 through analysis) in the Function Mapping relation between the variation of variation and the intracranial pressure of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of a plurality of training sample objects of obtaining; And the extent of intracranial pressure variable effect is confirmed corresponding weights according to the variation of said various signal parameters; According to corresponding weights the Function Mapping between the variation of the variation of said various signal parameters and intracranial pressure is concerned then and carry out weighted sum, promptly obtain intracranial pressure valuation functions model.
3. intracranial pressure noinvasive detection method according to claim 1 and 2 is characterized in that, said intracranial pressure valuation functions model is:
Wherein, V
ICP(t) represent intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of t dynamic change in time; N representes the kind sum of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal, x
i(t) represent the i kind signal parameter of t dynamic change in time, 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 influence size pairing weights of the variation of i kind signal parameter to the intracranial pressure variation, and
4. intracranial pressure noinvasive detection method according to claim 1; It is characterized in that; In computer, also be provided with sample individual information data base and individual penalty function in advance; Said individual information data base is used to store the individual information of the detected object of typing, and said individual penalty function is used to write down the Function Mapping that intracranial pressure detects offset and the individual information of detected object and concerns; After computer obtains the intracranial pressure dynamic changing process waveform of detected object through 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; Utilizing intracranial pressure to detect offset again compensates and corrects the intracranial pressure detected value in the intracranial pressure dynamic changing process waveform of corresponding detected object; Behind the intracranial pressure dynamic changing process waveform of the detected object that obtains revising, show through computer.
5. intracranial pressure noinvasive detection method according to claim 4 is characterized in that, said 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 t dynamic change in time; N representes the kind sum of various signal parameters in electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal, x
i(t) represent the i kind signal parameter of t dynamic change in time, 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 influence size pairing weights of the variation of i kind signal parameter to the intracranial pressure variation, and
Δ
s(Y) expression detects offset by the intracranial pressure that individual information Y obtains.
6. device of realizing intracranial pressure noinvasive detection method as claimed in claim 1; It is characterized in that the ecg signal acquiring module that comprises computer and be connected, visual evoked potential acquisition module, brain impedance collection module and TCD detection module with Computer Data Communication;
Said ecg signal acquiring module is used to gather the electrocardiosignal of detected object;
Said visual evoked potential acquisition module is used to gather the visual evoked potential signal of detected object;
Said brain impedance collection module is used to gather the brain impedance signal of detected object;
Said TCD detection module is used to gather the TCD signal of detected object;
The variation that the preset intracranial pressure valuation functions model that is equipped with in the said computer, said intracranial pressure valuation functions model are used to write down intracranial pressure concerns with Function Mapping between the variation of electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal; Said computer can be through communicating with connection electrocardiosignal, visual evoked potential signal, brain impedance signal and the TCD signal of ecg signal acquiring module, visual evoked potential acquisition module, brain impedance collection module and TCD detection module synchronous acquisition detected object; Then with synchronous electrocardiosignal, visual evoked potential signal, brain impedance signal and TCD signal together as the input of intracranial pressure valuation functions model, obtain detected object intracranial pressure dynamic changing process waveform and show.
7. device according to claim 6; It is characterized in that; Also preset sample individual information data base and the individual penalty function of being equipped with in the said computer; Said individual information data base is used to store the individual information of the detected object of typing, and said individual penalty function is used to write down the Function Mapping that intracranial pressure detects offset and the individual information of detected object and concerns; 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 also shows.
8. according to claim 6 or 7 described devices, it is characterized in that said visual evoked potential acquisition module mainly is made up of flasher, ground electrode, reference electrode, two brain electrode and current potential amplifying circuit of leading; Said flasher is connected with Computer Data Communication, can glimmer according to the control of computer; Said ground electrode and reference electrode are respectively applied for and are arranged on human body head glabella and forehead hairline place, to gather earth potential and reference point position; Said two brain electrode that leads is used to be arranged on the left and right sides position of human body head occipital bone, to gather the visual evoked potential signal; Said 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 amplification of visual evoked potential signal.
9. according to claim 6 or 7 described devices; It is characterized in that said brain impedance collection module mainly is made up of exciting current generation circuit, activation fragment buffer circuit, two exciting electrodes, four acquisition electrodes, collection terminal buffer circuit and amplifying and conditioning circuit; Said two exciting electrodes are used to be 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; Said exciting current generation circuit is electrically connected with two exciting electrodes through the activation fragment buffer circuit, is used to produce stimulating current and acts on human body head through two exciting electrodes; Said four acquisition electrodes are used to be 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 and conditioning circuit is electrically connected with four acquisition electrodes through the collection terminal buffer circuit; And be connected with Computer Data Communication, amplifying and conditioning circuit can be amplified the voltage signal of four acquisition electrode collections the back conversion process and is the brain impedance signal and export computer to.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110233593 CN102429651B (en) | 2011-08-15 | 2011-08-15 | Multi-parameter-based intracranial pressure noninvasive detection method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110233593 CN102429651B (en) | 2011-08-15 | 2011-08-15 | Multi-parameter-based intracranial pressure noninvasive detection method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102429651A true CN102429651A (en) | 2012-05-02 |
| CN102429651B CN102429651B (en) | 2013-10-30 |
Family
ID=45978264
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110233593 Expired - Fee Related CN102429651B (en) | 2011-08-15 | 2011-08-15 | Multi-parameter-based intracranial pressure noninvasive detection method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102429651B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102670252A (en) * | 2012-05-31 | 2012-09-19 | 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 |
| CN103610456A (en) * | 2013-12-08 | 2014-03-05 | 季忠 | Brain pressure non-invasive monitoring analysis system based on physiological signal characteristic parameters |
| CN110477954A (en) * | 2019-07-08 | 2019-11-22 | 无锡海斯凯尔医学技术有限公司 | Detection device based on elastogram |
| CN110507307A (en) * | 2019-08-30 | 2019-11-29 | 重庆博恩富克医疗设备有限公司 | A kind of device and method of Noninvasive intracranial pressure monitoring |
| WO2021258937A1 (en) * | 2020-06-24 | 2021-12-30 | 京东方科技集团股份有限公司 | User feature value measurement method and apparatus, storage medium and electronic device |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103536285B (en) * | 2013-10-17 | 2015-09-09 | 中国人民解放军成都军区总医院 | A kind of portable intracranial pressure noninvasive checkout gear based on pupillary reflex |
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 (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102670252A (en) * | 2012-05-31 | 2012-09-19 | 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 |
| CN103610456A (en) * | 2013-12-08 | 2014-03-05 | 季忠 | Brain pressure non-invasive monitoring analysis system based on physiological signal characteristic parameters |
| CN103610456B (en) * | 2013-12-08 | 2015-06-10 | 季忠 | Brain pressure non-invasive monitoring analysis system based on physiological signal characteristic parameters |
| CN110477954A (en) * | 2019-07-08 | 2019-11-22 | 无锡海斯凯尔医学技术有限公司 | Detection device based on elastogram |
| CN110477954B (en) * | 2019-07-08 | 2021-07-27 | 无锡海斯凯尔医学技术有限公司 | Detection equipment based on elasticity formation of image |
| CN110507307A (en) * | 2019-08-30 | 2019-11-29 | 重庆博恩富克医疗设备有限公司 | A kind of device and method of Noninvasive intracranial pressure monitoring |
| 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 |
| WO2021258937A1 (en) * | 2020-06-24 | 2021-12-30 | 京东方科技集团股份有限公司 | User feature value measurement method and apparatus, storage medium and electronic device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102429651B (en) | 2013-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102429651B (en) | Multi-parameter-based intracranial pressure noninvasive detection method and device | |
| CN106108877B (en) | A kind of survey meter of blood pressure | |
| CA2444251C (en) | Method for analysing pressure signals derivable from a body cavity | |
| CN101357062B (en) | Vital signs parameter evaluation device based on volume pulsation wave detection | |
| CN103610456B (en) | Brain pressure non-invasive monitoring analysis system based on physiological signal characteristic parameters | |
| CN206792400U (en) | HRV detection means | |
| CN101627905B (en) | Noninvasive integrative monitoring analytical method and noninvasive integrative monitoring analytic device for intracranial pressure | |
| US20110137189A1 (en) | Physiological signal sensing system without time and place contraint and its method | |
| CN102657525B (en) | Nondestructive detection system and method of cardiac function | |
| CN104856647B (en) | Hemodynamics measuring apparatus and hemodynamics measuring method | |
| CN102579013B (en) | Traditional Chinese medicine pulse diagnosis apparatus | |
| CN107320073A (en) | Tissue irritation stage division and its device | |
| CN102813513A (en) | Non-invasive intracranial pressure measurement method and measurement instrument | |
| CN105816186A (en) | Noninvasive type automated hand-held blood analyzer | |
| CN204246125U (en) | A kind of electro cardio signal workstation | |
| CN204351830U (en) | The early stage electro physiology checkout equipment of chronic disease and system | |
| Plesinger et al. | The VED meter—A new tool to measure the ventricular conduction abnormalities in heart failure patients | |
| CN104545910A (en) | Method and system for chronic disease early period electrophysiological detection | |
| CN104305965A (en) | Health management system | |
| CN109730657A (en) | A kind of system and method for realizing monitoring physiological and pathological data | |
| CN203290891U (en) | Noninvasive detecting system for intracranial blood circulation obstacle based on network topology analysis | |
| CN102697511A (en) | Intelligent needle system for internal detection | |
| CN110507307B (en) | Noninvasive intracranial pressure monitoring device and method | |
| CN110507306A (en) | A kind of real-time Noninvasive intracranial pressure monitoring system and method | |
| CN104739408A (en) | Diabetes early-stage electrophysiology detecting method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131030 Termination date: 20180815 |