CN116474193A - Intelligent targeted brain low-temperature equipment, control method, system and storage medium - Google Patents

Intelligent targeted brain low-temperature equipment, control method, system and storage medium Download PDF

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Publication number
CN116474193A
CN116474193A CN202310747889.9A CN202310747889A CN116474193A CN 116474193 A CN116474193 A CN 116474193A CN 202310747889 A CN202310747889 A CN 202310747889A CN 116474193 A CN116474193 A CN 116474193A
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temperature
data
brain
blood
monitoring probe
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CN116474193B (en
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曲东
黄偲元
刘霜
范敬蓉
姚海兰
李伟
李传志
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AFFILIATED CHILDREN'S HOSPITAL OF CAPITAL INSTITUTE OF PEDIATRICS
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AFFILIATED CHILDREN'S HOSPITAL OF CAPITAL INSTITUTE OF PEDIATRICS
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M1/00—Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
    • A61M1/36—Other treatment of blood in a by-pass of the natural circulatory system, e.g. temperature adaptation, irradiation ; Extra-corporeal blood circuits
    • A61M1/3621—Extra-corporeal blood circuits
    • A61M1/3623—Means for actively controlling temperature of blood
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M1/00—Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
    • A61M1/14—Dialysis systems; Artificial kidneys; Blood oxygenators ; Reciprocating systems for treatment of body fluids, e.g. single needle systems for hemofiltration or pheresis
    • A61M1/16—Dialysis systems; Artificial kidneys; Blood oxygenators ; Reciprocating systems for treatment of body fluids, e.g. single needle systems for hemofiltration or pheresis with membranes
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    • A—HUMAN NECESSITIES
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    • A61M1/00—Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
    • A61M1/36—Other treatment of blood in a by-pass of the natural circulatory system, e.g. temperature adaptation, irradiation ; Extra-corporeal blood circuits
    • A61M1/3621—Extra-corporeal blood circuits
    • A61M1/3627—Degassing devices; Buffer reservoirs; Drip chambers; Blood filters
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    • A61M1/36—Other treatment of blood in a by-pass of the natural circulatory system, e.g. temperature adaptation, irradiation ; Extra-corporeal blood circuits
    • A61M1/3621—Extra-corporeal blood circuits
    • A61M1/3639—Blood pressure control, pressure transducers specially adapted therefor
    • A—HUMAN NECESSITIES
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    • A61M1/00—Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
    • A61M1/36—Other treatment of blood in a by-pass of the natural circulatory system, e.g. temperature adaptation, irradiation ; Extra-corporeal blood circuits
    • A61M1/3672—Means preventing coagulation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M1/00—Suction or pumping devices for medical purposes; Devices for carrying-off, for treatment of, or for carrying-over, body-liquids; Drainage systems
    • A61M1/36—Other treatment of blood in a by-pass of the natural circulatory system, e.g. temperature adaptation, irradiation ; Extra-corporeal blood circuits
    • A61M1/369—Temperature treatment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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    • A61M2205/00—General characteristics of the apparatus
    • A61M2205/33—Controlling, regulating or measuring
    • A61M2205/3368—Temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61M2205/00—General characteristics of the apparatus
    • A61M2205/33—Controlling, regulating or measuring
    • A61M2205/3379—Masses, volumes, levels of fluids in reservoirs, flow rates
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    • A61M2205/00—General characteristics of the apparatus
    • A61M2205/50—General characteristics of the apparatus with microprocessors or computers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61M2210/00—Anatomical parts of the body
    • A61M2210/06—Head
    • A61M2210/0693—Brain, cerebrum
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    • A61M2230/00—Measuring parameters of the user
    • A61M2230/20—Blood composition characteristics
    • A61M2230/205—Blood composition characteristics partial oxygen pressure (P-O2)
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61M2230/30—Blood pressure
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61M2230/00—Measuring parameters of the user
    • A61M2230/50—Temperature
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/30—Against vector-borne diseases, e.g. mosquito-borne, fly-borne, tick-borne or waterborne diseases whose impact is exacerbated by climate change

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Abstract

The invention discloses intelligent targeted brain low-temperature equipment, a control method, a system and a storage medium, belonging to the field of system control, wherein the equipment comprises: the mobile chassis, the device body and the display screen host. The device main body comprises a blood flow pipeline, one end of the blood flow pipeline is a blood drawing end, the blood drawing end is communicated with a vein of a patient, the other end of the blood flow pipeline is a blood return end, and the blood return end is communicated with an internal carotid artery of the patient; the artificial membrane lung is connected in series on the blood flow pipeline, and the air inlet end of the artificial membrane lung is communicated with the air outlet end of the air-oxygen mixer; the rolling pump is connected in series to the blood flow pipeline and drives blood flow to flow from the blood leading end to the blood returning end of the blood flow pipeline; and a temperature regulator is arranged at the same time. When the low-temperature treatment mode is applied, venous blood drawing and arterial blood return are selected, and meanwhile, the artificial membranous lung is connected in series, so that the blood oxygen delivery is improved, the brain oxygen supply is improved, and the nerve function is improved while the brain oxygen consumption is reduced.

Description

Intelligent targeted brain low-temperature equipment, control method, system and storage medium
Technical Field
The invention relates to the technical field of system control, in particular to intelligent targeted brain low-temperature equipment, a control method, a system and a storage medium.
Background
Acute hypoxic ischemic brain injury (such as after cardiopulmonary resuscitation, severe asphyxia) is a common acute critical illness in intensive care units, has high mortality rate, and survivors often leave behind neurological sequelae, causing serious burden to society. Target temperature management is a treatment method which is proved to be capable of reducing brain injury and improving nerve prognosis at present, namely, the whole body temperature or the local brain temperature is reduced through artificial physics, so that the brain oxygen consumption is reduced, and the brain function recovery is promoted. Currently, traditional sub-hypothermia treatment methods include systemic sub-hypothermia and local sub-hypothermia. Systemic hypothermia methods, such as systemic body surface cooling or intravascular cooling, are methods that reduce body temperature to about 33 ℃, with the consequent side effects including clotting dysfunction, immune dysfunction, respiratory tract infections, decubitus ulcers, cardiac arrhythmias, hypotension, electrolyte disorders, and the like. And the local sub-low temperature, such as ice cap or application, has poor cooling effect, and often cannot meet the requirement of sub-low temperature treatment.
In 2016, taiwan area reported the first application of targeted low-temperature brain protection technology (DuoFlo) after cardiopulmonary resuscitation TM Technology) adult cases of successful treatment. This technique requires placement of a double lumen catheter through the femoral artery using vascular intervention to reach the aorta with the outer cannula and continue advancing the inner cannula to the carotid artery. The outer sleeve draws blood to extracorporeal circulation, after being cooled by the temperature changer, the cooled blood is returned to the body through the inner sleeve, thereby achieving the purpose of targeted lowering the temperature of brain tissues to 27 ℃ and keeping the body temperature within the range of 35-36 ℃, and effectively avoiding the side effect of systemic low temperature.
However, based on different physical conditions and conditions of each patient, the previous medical experience can only set preliminary parameters of the targeted low-temperature brain protection, such as blood drawing speed, temperature reduction and the like, but after the targeted low-temperature of the patient reaches a preset target, if the original parameters are maintained unchanged, the formation of further low temperature can be caused to cause low-temperature damage to the patient, so that the patient is also irresistible.
Therefore, how to realize finer control by improving the targeted brain low-temperature equipment and according to individual differences on the basis of the prior art and ensure the realization of the targeted low-temperature brain protection technical function is a technical problem to be solved by the technicians in the field.
Disclosure of Invention
Therefore, the invention provides intelligent targeted brain low-temperature equipment, a control method, a system and a storage medium, which are used for solving the related technical problems in the prior art.
In order to achieve the above object, the present invention provides the following technical solutions:
according to a first aspect of the present invention,
the intelligent targeted brain low-temperature equipment comprises a mobile chassis, an equipment main body arranged on the mobile chassis and a display screen host fixedly arranged on the top of the equipment main body, wherein the mobile chassis is provided with a plurality of display screen units;
The apparatus body includes:
the bottom of the mounting shell is fixedly connected with the movable base;
one end of the blood flow pipeline is a blood drawing end which is communicated with a vein of a patient, and the other end of the blood flow pipeline is a blood return end which is communicated with an internal carotid artery of the patient;
the air-oxygen mixer is arranged outside the installation shell, and the air inlet end of the air-oxygen mixer is simultaneously connected with an oxygen source and an air source;
the artificial membrane lung is connected in series on the blood flow pipeline and is arranged at the front end of the installation shell, and the air inlet end of the artificial membrane lung is communicated with the air outlet end of the air-oxygen mixer;
the rolling pump is arranged at the front end of the mounting shell and is connected in series on the blood flow pipeline to drive blood flow to flow from the blood leading end to the blood returning end of the blood flow pipeline;
the temperature regulator is arranged at the upper end of the movable chassis, and the artificial membrane lung is connected with the temperature regulator; and
and the controller is in signal connection with the display screen host, the air-oxygen mixer, the rolling pump and the temperature regulator.
Still further, the device further comprises a flow path provided on the blood flow path:
the first temperature monitor is arranged between the rolling pump and the artificial membrane lung;
the second temperature monitor is arranged at the blood return end;
The first pressure monitor is arranged at the blood drawing end;
the second pressure monitor is arranged between the rolling pump and the artificial membrane lung;
the third pressure monitor is arranged at the blood return end;
the first temperature monitor, the second temperature monitor, the first pressure monitor, the second pressure monitor and the third pressure monitor are all in signal connection with the controller.
Still further, the method further comprises:
a heparin propeller arranged in the installation shell and communicated with the blood flow pipeline;
the heparin propeller is in signal connection with the controller.
Still further, the display screen host computer further comprises a display screen host computer arranged on the display screen host computer:
the first signal interface is inserted with a first monitoring probe for monitoring anal temperature data;
the second signal interface is inserted with a second monitoring probe for monitoring brain temperature data;
the third signal interface is inserted with a third monitoring probe for monitoring intracranial pressure and cerebral oxygen saturation data of a patient;
a fourth signal interface is inserted with a fourth monitoring probe for monitoring blood pressure and blood oxygen data of a patient;
a fifth signal interface is spliced with a fifth monitoring probe for monitoring the brain electrical data of the patient;
a sixth signal interface is inserted with a sixth monitoring probe for monitoring cerebral blood flow data of the patient;
The first signal interface, the second signal interface, the third signal interface, the fourth signal interface, the fifth signal interface and the sixth signal interface are all in signal connection with the controller.
Further, a blood taking port and a bubble thrombus interceptor are also arranged on the blood flow pipeline.
According to a second aspect of the present application,
the control method of the intelligent targeted brain low-temperature equipment is provided, and the intelligent targeted brain low-temperature equipment comprises the following steps:
determining an expected cooling temperature T based on a patient's pre-examination situation and a multimodal brain function monitoring data situation Pre-preparation And setting a temperature change time F 1 ；
Acquiring temperature data T of a first temperature monitor 1 And temperature data T of the second temperature monitor 2 And acquiring anal temperature data T monitored by the first monitoring probe 3 And brain temperature data T of the second monitoring probe 4 ；
Based on the first prediction model, the set temperature T of the temperature regulator is obtained Is provided with ；
Obtaining the temperature change rate in unit time, and predicting the temperature change time F 2 ；
Comparing the set temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with 。
Further, wherein the comparison sets the temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with Comprising:
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the temperature T of the temperature regulator is lowered Is provided with 。
Further, based on the first predictive model, the set temperature T of the temperature regulator is obtained Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 For the temperature data of the first temperature monitor, T 2 Is the temperature data of the second temperature monitor, T 3 For the anal temperature data monitored by the first monitoring probe, T 4 For brain temperature data of the second monitoring probe, T Is provided with For setting the temperature of the temperature regulator, T Pre-preparation Is the expected cooling temperature.
Further, the temperature change rate in unit time is obtained, and the temperature change time F is predicted 2 Comprising:
acquiring initial brain temperature data T monitored by a second monitoring probe 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by a second monitoring probe after interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；
calculating a predicted temperature change time F 2 ，。
Further, wherein the expected cooling temperature T is determined based on a pre-examination situation of the patient and a multi-modal brain function monitoring data situation Pre-preparation Comprising:
determining the disease grade related to the disease based on the early examination condition of the patient, and assigning a value;
determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value;
Determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,is the firsti disease grade of disorder,/->For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
Further, when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
acquiring pressure data P of a first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 And acquiring intracranial pressure data P of the third monitoring probe 4 Blood pressure data P of fourth monitoring probe 5 And cerebral blood flow data V of the sixth monitoring probe Blood vessel ；
Obtaining the propulsion quantity C of the heparin propeller in unit time Liver ；
Obtaining the adjustment speed V of the rolling pump based on the second prediction model Rolling machine Wherein the second predictive model is as follows:
wherein ,for the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
Further, when the pressure data P of the first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 When the set threshold is exceeded, an alarm is issued.
Further, when the blood pressure data P of the fourth monitoring probe 5 When the set threshold value range is exceeded, an alarm is issued.
Further, when the anal temperature data T monitored by the first monitoring probe 3 When the set threshold value range is exceeded, an alarm is issued.
Further, when the blood oxygen data exceeds the set threshold range, an alarm is issued.
Still further, the control mode of the intelligent targeted brain cryogenic device is selected by automatic or manual.
According to a third aspect of the present application, there is provided an intelligent targeted brain cryogenic device control system, comprising:
a determining unit for determining the expected cooling temperature T based on the pre-examination condition of the patient and the multi-modal brain function monitoring data condition Pre-preparation And setting a temperature change time F 1 ；
A first acquisition unit for acquiring temperature data T of the first temperature monitor 1 And temperature data T of the second temperature monitor 2 And acquiring anal temperature data T monitored by the first monitoring probe 3 And brain temperature data T of the second monitoring probe 4 ；
A second acquisition unit for acquiring the set temperature T of the temperature regulator based on the first prediction model Is provided with ；
The prediction unit is used for obtaining the temperature change rate in unit time and predicting the temperature change time F 2 ；
A comparison unit for comparing the set temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with 。
Further, wherein the comparison sets the temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with Comprising:
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the temperature T of the temperature regulator is lowered Is provided with 。
Further, based on the first predictive model, the set temperature T of the temperature regulator is obtained Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 For the temperature data of the first temperature monitor, T 2 For a second temperature monitorTemperature data, T 3 For the anal temperature data monitored by the first monitoring probe, T 4 For brain temperature data of the second monitoring probe, T Is provided with For setting the temperature of the temperature regulator, T Pre-preparation Is the expected cooling temperature.
Further, the temperature change rate in unit time is obtained, and the temperature change time F is predicted 2 Comprising:
acquiring initial brain temperature data T monitored by a second monitoring probe 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by a second monitoring probe after interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；
calculating a predicted temperature change time F 2 ，。
Further, wherein the expected cooling temperature T is determined based on a pre-examination situation of the patient and a multi-modal brain function monitoring data situation Pre-preparation Comprising:
determining the disease grade related to the disease based on the early examination condition of the patient, and assigning a value;
determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value;
determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,for the grade of the ith disorder, +.>For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
Further, when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
acquiring pressure data P of a first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 And acquiring intracranial pressure data P of the third monitoring probe 4 Blood pressure data P of fourth monitoring probe 5 And cerebral blood flow data V of the sixth monitoring probe Blood vessel ；
Obtaining the propulsion quantity C of the heparin propeller in unit time Liver ；
Obtaining the adjustment speed V of the rolling pump based on the second prediction model Rolling machine Wherein the second predictive model is as follows:
wherein ,for the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
According to a fourth aspect of the present application, there is provided a storage medium comprising therein an intelligent targeted brain cryogenic device control method program which, when executed by a processor, implements the steps of the intelligent targeted brain cryogenic device control method as described above.
The invention has the following advantages:
the technical proposal of the patent application is that the blood is led to extracorporeal circulation through a vein tube and a rolling pump, and the oxygenation is improved by connecting an artificial membrane lung in series, and the oxygenated blood is returned to the internal carotid artery after the temperature is reduced by a temperature regulator, thereby achieving the aim of partial subhypothermia treatment of the brain. Meanwhile, based on the equipment forming control method, according to a plurality of data of brain temperature, blood extracorporeal circulation each stage, blood flow speed, intracranial pressure and the like monitored in real time, a control mode is determined based on the first model and the second model, the inconvenience that manual operation is required in the traditional sub-low temperature brain protection setting is changed, and the efficiency of automatic control based on different states of an individual is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the ambit of the technical disclosure.
FIG. 1 is a schematic diagram of an intelligent targeted brain hypothermia device;
FIG. 2 is an enlarged view of a portion of FIG. 1A according to the present invention;
FIG. 3 is a schematic diagram showing the connection of the components in the protection device according to the present invention;
FIG. 4 is a block diagram showing the connection of a controller to various components provided by the present invention;
in the figure:
1, moving a chassis; 2 an apparatus main body; 201 mounting a housing; 202 a blood flow line; 2021 blood drawing end; 2022 blood return end; 203 an air-oxygen mixer; 204 artificial membranous lung; 205 rolling pump; 206 a controller; 207 temperature regulator; 208 a first temperature monitor; a second temperature monitor 209; 210 a first pressure monitor; 211 a second pressure monitor; 212 a third pressure monitor; 213 heparin propeller; 3, a display screen host; 301 a first signal interface; 302 a second signal interface; 303 a third signal interface; 304 a fourth signal interface; 305 a first monitoring probe; 306 a second monitoring probe; 307 a third monitoring probe; 308 a fourth monitoring probe; 309 fifth monitoring probe; 310 a fifth signal interface; 311 a sixth monitoring probe; 312 a sixth signal interface.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the related technical problems in the prior art, according to a first aspect of the present invention, there is provided an intelligent targeted brain hypothermia device, which comprises a mobile chassis 1, as shown in fig. 1, a roller structure is arranged at the bottom of the mobile chassis 1, and a foot brake is arranged on the roller structure for convenience and stability. The mobile chassis comprises a mobile chassis 1, a device main body 2 and a display screen host 3, wherein the mobile chassis 1 is provided with a display screen, and the display screen host 3 is fixedly arranged on the top of the device main body 2. Wherein the apparatus body 2 is used to provide support for other components such as the blood flow line 202, the air-oxygen mixer 203, etc., and if necessary, a battery, etc., may be provided on the apparatus body 2 for convenience of portable application. The display screen host 3 is not only used for setting and displaying various parameters, but also used for calculating and adjusting aiming at a control system of intelligent targeting brain cryogenic equipment.
As shown in fig. 1 to 2, the apparatus main body 2 includes the following:
the installation shell 201 is arranged in a semicircular column shape, and the bottom of the installation shell is fixedly connected with the movable base;
a blood flow tube 202, one end of which is a blood drawing end 2021, wherein the blood drawing end 2021 is communicated with a vein of a patient, the other end is a blood return end 2022, and the blood return end 2022 is communicated with an internal carotid artery of the patient; therefore, the brain blood is led out through the blood-drawing end 2021 via the blood flow pipeline 202, and after the temperature-lowering treatment by the device, the cooled blood is returned to the internal carotid artery via the blood-returning end 2022. In this embodiment, the blood-drawing end 2021 vein may be preferably an internal jugular vein, and thus, local brain cooling can be achieved to the maximum extent by internal jugular blood drawing and internal carotid blood return.
An air-oxygen mixer 203, which is arranged outside the installation shell 201, and the air inlet end of the air-oxygen mixer 203 is simultaneously connected with an oxygen source and an air source; the artificial membrane lung 204 is serially connected to the blood flow pipeline 202 and is mounted at the front end of the mounting housing 201, and the air inlet end of the artificial membrane lung 204 is communicated with the air outlet end of the air-oxygen mixer 203. The air-oxygen mixer 203 mixes air and oxygen and then conveys the air and oxygen to the artificial membrane lung 204, and the controller 206 controls the artificial membrane lung 204 to improve blood oxygen of the extracted blood so as to prevent brain hypoxia injury in the use process. The working principles of the air-oxygen mixer 203 and the artificial membrane lung 204 are not described herein.
The rolling pump 205 is mounted on the front end of the mounting case 201 and is connected in series to the blood flow line 202 to drive the blood flow from the blood drawing end 2021 to the blood return end 2022 of the blood flow line 202. The rolling pump 205 controls and adjusts the speed of the blood drawing under the control of the controller 206.
The temperature regulator 207 is arranged at the upper end of the mobile chassis 1, and the artificial membrane lung 204 is connected with the temperature regulator 207, in this embodiment, the temperature regulator 207 adopts a water tank to cool or heat, so as to realize the regulation of the blood temperature.
And a controller 206, wherein the controller 206 is in signal connection with the display screen host 3, the air-oxygen mixer 203, the rolling pump 205 and the temperature regulator 207, so that the controller 206 controls the display screen host 3, the air-oxygen mixer 203, the rolling pump 205 and the temperature regulator 207 to realize the regulation of the blood oxygen concentration and the temperature regulation of the extracted blood.
For better control of the relevant components, as shown in fig. 3 and 4, the device further comprises a blood flow tube 202:
a first temperature monitor 208, disposed between the rolling pump 205 and the artificial membrane lung 204, for monitoring the blood temperature at the blood drawing end 2021;
a second temperature monitor 209 disposed at the blood return end 2022 for monitoring the temperature of the blood at the blood return end 2022;
A first pressure monitor 210 disposed at the blood drawing end 2021 for monitoring the blood pressure at the blood drawing end 2021;
a second pressure monitor 211, provided between the rolling pump 205 and the artificial membrane lung 204, for monitoring a change in blood pressure after the blood passes through the rolling pump 205;
a third pressure monitor 212, disposed at the blood return end 2022, for monitoring the blood pressure at the blood return end 2022;
the first temperature monitor 208, the second temperature monitor 209, the first pressure monitor 210, the second pressure monitor 211, and the third pressure monitor 212 are all in signal connection with the controller 206.
Above, through the monitoring of each temperature sensor for obtain the temperature condition before and after blood cooling, make things convenient for controller 206 to adjust the temperature of temperature regulator 207 according to the actual alternating temperature condition of blood, and through the monitoring of each pressure sensor, be used for obtaining the pressure variation in the blood drawing and the back blood in-process, prevent that intracranial pressure variation from producing the influence to the brain.
Meanwhile, in order to prevent blood coagulation phenomenon during drainage, the device further comprises:
heparin propeller 213 is disposed in mounting housing 201, and heparin propeller 213 is in communication with blood flow line 202, heparin propeller 213 being in signal connection with controller 206. Thus, the pushing speed of the heparin pusher 213 can be controlled by the blood flow speed received by the controller 206, so as to achieve smooth blood flow.
In actual use, not only is temperature data of brain-related area monitored, but also more monitoring data is needed to prevent the influence of cryoprotection on other parts of the body, and the controller 206 controls the speed of the rolling pump 205, the speed of the heparin pusher 213, the temperature of the temperature regulator 207, etc. based on these monitoring data, therefore, as shown in fig. 4, the device further comprises a display screen host 3:
the first signal interface 301 is inserted with a first monitoring probe 305 for monitoring anal temperature data and is used for monitoring normal temperature conditions of the body;
a second signal interface 302, which is plugged with a second monitoring probe 306 for monitoring brain temperature data, and is used for monitoring intracranial temperature data, representing real-time brain temperature data;
a third signal interface 303, to which a third monitoring probe 307 for monitoring intracranial pressure and cerebral oxygen saturation data of the patient is connected;
a fourth signal interface 304, to which a fourth monitoring probe 308 for monitoring blood pressure and blood oxygen data of the patient is connected;
a fifth signal interface 310, to which a fifth monitoring probe 309 for monitoring brain electrical data of the patient is plugged;
a sixth signal interface 312, to which a sixth monitoring probe 311 for monitoring cerebral blood flow data of the patient is connected;
The first signal interface 301, the second signal interface 302, the third signal interface 303, the fourth signal interface 304, the fifth signal interface 310, and the sixth signal interface 312 are all signal-connected to the controller 206. Through the cooperation of the interface and the probe, the data monitored in real time are transmitted to the controller 206, and the controller 206 adjusts the running state of the equipment based on the monitored related data.
Further, a blood sampling port (not shown) and a thrombus interceptor (not shown) are also provided on the blood flow line 202. The blood sampling port is used for sampling blood after blood sampling, so that the blood is conveniently detected, and the bubble interceptor is used for intercepting bubbles and preventing embolism.
According to a second aspect of the present application,
the intelligent target brain low-temperature equipment control method is used for controlling the intelligent target brain low-temperature equipment, and aims to achieve the purposes of acquiring, analyzing and controlling intelligent data and improving the control effect of the target brain low-temperature equipment, and comprises the following steps:
determining an expected cooling temperature T based on a patient's pre-examination situation and a multimodal brain function monitoring data situation Pre-preparation And setting a temperature change time F 1 . In this embodiment, the patient's prior exam includes, but is not limited to, prior medical history, physical fitness, low temperature tolerance, etc., by retrieving the last patient in the case library The data is reported from one or more examinations to achieve a reference to the setting of parameters for the patient to achieve cryoprotection using the device. In this embodiment, the multimodal brain function monitoring data includes real-time monitoring data of various temperature sensors, pressure sensors, and the like as shown above.
Acquiring temperature data T of the first temperature monitor 208 1 And temperature data T of the second temperature monitor 209 2 And acquires anal temperature data T monitored by the first monitoring probe 305 3 And brain temperature data T of the second monitoring probe 306 4 ；
Based on the first predictive model, the set temperature T of the temperature regulator 207 is obtained Is provided with ；
Obtaining the temperature change rate in unit time, and predicting the temperature change time F 2 ；
Comparing the set temperature change time F 1 And predicting the temperature change time F 2 Size, the set temperature T of the temperature regulator 207 is adjusted Is provided with 。
From the above monitoring results, the pre-examination condition and the multi-modal brain function monitoring data, in particular, the temperature data T of the first temperature monitor 208 1 And temperature data T of the second temperature monitor 209 2 And acquires anal temperature data T monitored by the first monitoring probe 305 3 And brain temperature data T of the second monitoring probe 306 4 Obtaining the set temperature T of the temperature regulator 207 based on the first predictive model Is provided with When the data of the early examination condition of the patient is obtained to show that the patient has no tolerance under the condition of lower temperature, the temperature T is set Is provided with Setting a temperature slightly higher, and setting a temperature T when the acquired data of the previous examination condition of the patient shows that the patient has a certain tolerance at a lower temperature Is provided with Is set to a slightly lower temperature, thus preventing brain damage from occurring at an excessively low temperature.
Meanwhile, based on acquiring the temperature data T of the first temperature monitor 208 1 And temperature data T of the second temperature monitor 209 2 And anal temperature data T monitored by the first monitoring probe 305 3 And brain temperature data T of the second monitoring probe 306 4 Calculating the temperature change rate of the temperature sensor,and predicts the time F when the temperature reaches the set temperature for the low-temperature brain protection based on the temperature change rate 2 And based on the set temperature change time F 1 And predicting the temperature change time F 2 Size, the set temperature T of the temperature regulator 207 is adjusted Is provided with . In conclusion, the relevant parameters can be adjusted based on personal information of a patient and operation information obtained by time equipment, so that the effect of quickly achieving low-temperature brain protection under the condition of taking safety as a reference is achieved.
Further, wherein the comparison sets the temperature change time F 1 And predicting the temperature change time F 2 Size, the set temperature T of the temperature regulator 207 is adjusted Is provided with Comprising: when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the set temperature T of the temperature regulator 207 is lowered Is provided with 。
Wherein, based on the first predictive model, the set temperature T of the temperature regulator 207 is obtained Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 T is the temperature data of the first temperature monitor 208 2 Is the temperature data of the second temperature monitor 209, T 3 Anal temperature data, T, monitored for the first monitoring probe 305 4 For brain temperature data of the second monitoring probe 306, T Is provided with T is the set temperature of the temperature regulator 207 Pre-preparation Is the expected cooling temperature.
Based on the model, anal temperature data T 3 Generally, the temperature is relatively constant, the actual temperature condition of the body of a patient can be reflected, and the brain temperature T 4 The effect of temperature reduction can occur under the cooling effect, and anal temperature data T 3 And brain temperature T 4 Reflects the actual decrease in brain temperature over a fixed period of time, while the blood drawing temperature T 1 And blood return temperature T 2 Reflecting the temperature decrease after passing through the device, the blood return end 2022 turns on the internal carotid artery of the patient due to the blood draw end 2021 turning on the vein of the patient, thereby based on The ratio of the two difference values determines a temperature change coefficient based on the temperature change coefficient and the expected cooling temperature T Pre-preparation Calculate the set temperature T of the temperature regulator 207 Is provided with This arrangement enables low temperature brain protection to be achieved under energy saving and safety conditions.
Further, the temperature change rate in unit time is obtained, and the temperature change time F is predicted 2 Comprising:
acquiring initial brain temperature data T monitored by the second monitoring probe 306 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by the second monitoring probe 306 after the interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；
calculating a predicted temperature change time F 2 ，。
Further, wherein the expected cooling temperature T is determined based on a pre-examination situation of the patient and a multi-modal brain function monitoring data situation Pre-preparation Comprising:
based on the early examination condition of the patient, the disease grade related to the disease is determined, and assigned to the patient, and the disease condition of the patient is reflected, for example, the disease grade is classified into light grade, medium grade and heavy grade, and the grade is classified based on the obtained related information. If the patient suffers from stomach tumor and is accompanied with symptoms of hypertension, the patient is classified as heavy; if the patient suffers from gastrointestinal inflammation, the patient is classified as medium grade; whereas the disorder is lighter or no apparent disorder, it is positioned light.
Determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value; classification of the grade is performed based on the obtained related information, for example, the grade of the body is classified into weak, medium and strong grades. If the body is more resistant to temperature change, the body is set to be strong; if the body is moderately resistant to temperature changes, the body is classified as medium; if the body is less tolerant to temperature changes, it is rated as weak.
Determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,for the grade of the ith disorder, +.>For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
Further, when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
acquiring pressure data P of the first pressure monitor 210 1 Pressure data P of the second pressure monitor 211 2 And pressure data P of the third pressure monitor 212 3 And acquires intracranial pressure data P of the third monitoring probe 307 4 Blood pressure data P of fourth monitoring probe 308 5 And cerebral blood flow data V of the sixth monitoring probe 311 Blood vessel ；
Acquisition of the amount of advance C per unit time of heparin pusher 213 Liver ；
Based on the second predictive model, an adjustment speed V of the rolling pump 205 is obtained Rolling machine Wherein the second predictive model is as follows:
wherein ,for the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
By the aboveThe second predictive model obtains the adjustment speed V of the scroll pump 205 Rolling machine Thereby preventing damage to the brain caused by overpressure. Meanwhile, in order to prevent other pressure data and temperature data from damaging the body due to abnormality, an alarm mode is also set as follows:
when the pressure data P of the first pressure monitor 210 1 Pressure data P of the second pressure monitor 211 2 And pressure data P of the third pressure monitor 212 3 When the set threshold is exceeded, an alarm is issued. Further, when the blood pressure data P of the fourth monitoring probe 308 5 When the set threshold value range is exceeded, an alarm is issued. Further, when the first monitoring probe 305 monitors the anal temperature data T 3 When the set threshold value range is exceeded, an alarm is issued. Further, when the blood oxygen data exceeds the set threshold range, an alarm is issued.
Still further, the control mode of the intelligent targeted brain cryogenic device is selected either automatically or manually. As in the case of the alarm problem described above, the device operating parameters may be manually adjusted or automatically adjusted or turned off.
According to a third aspect of the present application, there is provided an intelligent targeted brain cryogenic device control system, comprising:
a determining unit for determining the expected cooling temperature T based on the pre-examination condition of the patient and the multi-modal brain function monitoring data condition Pre-preparation And setting a temperature change time F 1 ；
A first acquisition unit for acquiring temperature data T of the first temperature monitor 208 1 And temperature data T of the second temperature monitor 209 2 And acquires anal temperature data T monitored by the first monitoring probe 305 3 And brain temperature data T of the second monitoring probe 306 4 ；
A second acquisition unit for acquiring the set temperature T of the temperature regulator 207 based on the first predictive model Is provided with ；
The prediction unit is used for obtaining the temperature change rate in unit time and predicting the temperature change time F 2 ；
A comparison unit for comparing the set temperature change time F 1 And predicting temperature changeTime F 2 Size, the set temperature T of the temperature regulator 207 is adjusted Is provided with 。
Further, wherein the comparison sets the temperature change time F 1 And predicting the temperature change time F 2 Size, the set temperature T of the temperature regulator 207 is adjusted Is provided with Comprising:
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the set temperature T of the temperature regulator 207 is lowered Is provided with 。
Further, based on the first predictive model, the set temperature T of the temperature regulator 207 is obtained Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 T is the temperature data of the first temperature monitor 208 2 Is the temperature data of the second temperature monitor 209, T 3 Anal temperature data, T, monitored for the first monitoring probe 305 4 For brain temperature data of the second monitoring probe 306, T Is provided with T is the set temperature of the temperature regulator 207 Pre-preparation Is the expected cooling temperature.
Further, the temperature change rate in unit time is obtained, and the temperature change time F is predicted 2 Comprising:
acquiring initial brain temperature data T monitored by the second monitoring probe 306 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by the second monitoring probe 306 after the interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；/>
calculating a predicted temperature change time F 2 ，。
Further, wherein the method is based on a patient's prior examination and multiple modalitiesDetermining the expected cooling temperature T according to the brain function monitoring data Pre-preparation Comprising:
determining the disease grade related to the disease based on the early examination condition of the patient, and assigning a value;
determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value;
determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,for the grade of the ith disorder, +.>For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
Further, when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
acquiring pressure data P of the first pressure monitor 210 1 Pressure data P of the second pressure monitor 211 2 And pressure data P of the third pressure monitor 212 3 And acquires intracranial pressure data P of the third monitoring probe 307 4 Blood pressure data P of fourth monitoring probe 308 5 And cerebral blood flow data V of the sixth monitoring probe 311 Blood vessel ；
Acquisition of the amount of advance C per unit time of heparin pusher 213 Liver ；
Based on the second predictive model, an adjustment speed V of the rolling pump 205 is obtained Rolling machine Wherein the second predictive model is as follows:
wherein ,For the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
According to a fourth aspect of the present application, there is provided a storage medium comprising therein an intelligent targeted brain cryogenic device control method program which, when executed by a processor, implements the steps of the intelligent targeted brain cryogenic device control method as above.
The technical proposal of the patent application is that the blood is led to extracorporeal circulation through a vein tube and a rolling pump 205, and the oxygenation is improved by connecting an artificial membranous lung 204 in series, and the oxygenated blood is returned to the internal carotid artery after the temperature is reduced by a temperature regulator 207, thereby achieving the aim of brain local sub-low temperature treatment. Meanwhile, based on the equipment forming control method, according to a plurality of data of brain temperature, blood extracorporeal circulation each stage, blood flow speed, intracranial pressure and the like monitored in real time, a control mode is determined based on the first model and the second model, the inconvenience that manual operation is required in the traditional sub-low temperature brain protection setting is changed, and the efficiency of automatic control based on different states of an individual is improved.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.

Claims (23)

1. The intelligent targeted brain low-temperature equipment comprises a mobile chassis and is characterized by also comprising an equipment main body arranged on the mobile chassis and a display screen host fixedly arranged on the top of the equipment main body;
The apparatus body includes:
the bottom of the mounting shell is fixedly connected with the movable base;
one end of the blood flow pipeline is a blood drawing end which is communicated with a vein of a patient, and the other end of the blood flow pipeline is a blood return end which is communicated with an internal carotid artery of the patient;
the air-oxygen mixer is arranged outside the installation shell, and the air inlet end of the air-oxygen mixer is simultaneously connected with an oxygen source and an air source;
the artificial membrane lung is connected in series on the blood flow pipeline and is arranged at the front end of the installation shell, and the air inlet end of the artificial membrane lung is communicated with the air outlet end of the air-oxygen mixer;
the rolling pump is arranged at the front end of the mounting shell and is connected in series on the blood flow pipeline to drive blood flow to flow from the blood leading end to the blood returning end of the blood flow pipeline;
the temperature regulator is arranged at the upper end of the movable chassis, and the artificial membrane lung is connected with the temperature regulator; and
and the controller is in signal connection with the display screen host, the air-oxygen mixer, the rolling pump and the temperature regulator.
2. The intelligent targeted brain cryogenic device of claim 1, further comprising:
the first temperature monitor is arranged between the rolling pump and the artificial membrane lung;
The second temperature monitor is arranged at the blood return end;
the first pressure monitor is arranged at the blood drawing end;
the second pressure monitor is arranged between the rolling pump and the artificial membrane lung;
the third pressure monitor is arranged at the blood return end;
the first temperature monitor, the second temperature monitor, the first pressure monitor, the second pressure monitor and the third pressure monitor are all in signal connection with the controller.
3. The intelligent targeted brain cryogenic device of claim 2, further comprising:
a heparin propeller arranged in the installation shell and communicated with the blood flow pipeline;
the heparin propeller is in signal connection with the controller.
4. The intelligent targeted brain cryogenic device of claim 3, further comprising a controller disposed on the display screen host:
the first signal interface is inserted with a first monitoring probe for monitoring anal temperature data;
the second signal interface is inserted with a second monitoring probe for monitoring brain temperature data;
the third signal interface is inserted with a third monitoring probe for monitoring intracranial pressure and cerebral oxygen saturation data of a patient;
a fourth signal interface is inserted with a fourth monitoring probe for monitoring blood pressure and blood oxygen data of a patient;
A fifth signal interface is spliced with a fifth monitoring probe for monitoring the brain electrical data of the patient;
a sixth signal interface is inserted with a sixth monitoring probe for monitoring cerebral blood flow data of the patient;
the first signal interface, the second signal interface, the third signal interface, the fourth signal interface, the fifth signal interface and the sixth signal interface are all in signal connection with the controller.
5. The intelligent targeted brain hypothermia device of claim 4 wherein the blood flow line is further provided with a blood sampling port and a bubble thrombus interceptor.
6. An intelligent targeted brain cryogenic device control method, which is applied to the intelligent targeted brain cryogenic device according to claim 5, and is characterized by comprising the following steps:
determining an expected cooling temperature T based on a patient's pre-examination situation and a multimodal brain function monitoring data situation Pre-preparation And setting a temperature change time F 1 ；
Acquiring temperature data T of a first temperature monitor 1 And temperature data T of the second temperature monitor 2 And obtain the firstAnal temperature data T monitored by monitoring probe 3 And brain temperature data T of the second monitoring probe 4 ；
Based on the first prediction model, the set temperature T of the temperature regulator is obtained Is provided with ；
Obtaining the temperature change rate in unit time, and predicting the temperature change time F 2 ；
Comparing the set temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with 。
7. The intelligent targeted brain cryogenic device control method of claim 6, wherein the comparison sets the temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with Comprising:
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the temperature T of the temperature regulator is lowered Is provided with 。
8. The method for controlling intelligent targeted brain cryogenic equipment according to claim 6, wherein the set temperature T of the temperature regulator is obtained based on the first predictive model Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 For the temperature data of the first temperature monitor, T 2 Is the temperature data of the second temperature monitor, T 3 For the anal temperature data monitored by the first monitoring probe, T 4 For brain temperature data of the second monitoring probe, T Is provided with For setting the temperature of the temperature regulator, T Pre-preparation Is the expected cooling temperature.
9. The intelligent targeted brain cryogenic device control method of claim 6, wherein a temperature change rate per unit time is obtained, and a temperature change time is predictedF 2 Comprising:
Acquiring initial brain temperature data T monitored by a second monitoring probe 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by a second monitoring probe after interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；
calculating a predicted temperature change time F 2 ，。
10. The intelligent targeted brain cryogenic device control method of claim 6, wherein the expected cooling temperature T is determined based on a patient's pre-examination situation and multi-modal brain function monitoring data situation Pre-preparation Comprising:
determining the disease grade related to the disease based on the early examination condition of the patient, and assigning a value;
determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value;
determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,for the grade of the ith disorder, +.>For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
11. The intelligent targeted brain cryogenic device control method of claim 7, wherein when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
Acquiring pressure data P of a first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 And acquiring intracranial pressure data P of the third monitoring probe 4 Blood pressure data P of fourth monitoring probe 5 And cerebral blood flow data V of the sixth monitoring probe Blood vessel ；
Obtaining the propulsion quantity C of the heparin propeller in unit time Liver ；
Obtaining the adjustment speed V of the rolling pump based on the second prediction model Rolling machine Wherein the second predictive model is as follows:
wherein ,for the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
12. The intelligent targeted brain cryogenic device control method of claim 11, wherein when the pressure data P of the first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 When the set threshold is exceeded, an alarm is issued.
13. The intelligent targeted brain cryogenic device control method of claim 11, wherein when the fourth monitoring probe is blood pressure data P 5 When the set threshold value range is exceeded, an alarm is issued.
14. The intelligent targeted brain cryogenic device control method of claim 11, wherein the anal temperature data T monitored by the first monitoring probe 3 When the set threshold value range is exceeded, an alarm is issued.
15. The intelligent targeted brain cryogenic device control method of claim 11, wherein an alarm is issued when the blood oxygen data exceeds a set threshold range.
16. The intelligent targeted brain cryogenic device control method of claim 6, wherein the control mode of the intelligent targeted brain cryogenic device is selected automatically or manually.
17. Intelligent targeting brain cryogenic device control system, its characterized in that includes:
a determining unit for determining the expected cooling temperature T based on the pre-examination condition of the patient and the multi-modal brain function monitoring data condition Pre-preparation And setting a temperature change time F 1 ；
A first acquisition unit for acquiring temperature data T of the first temperature monitor 1 And temperature data T of the second temperature monitor 2 And acquiring anal temperature data T monitored by the first monitoring probe 3 And brain temperature data T of the second monitoring probe 4 ；
A second acquisition unit for acquiring the set temperature T of the temperature regulator based on the first prediction model Is provided with ；
The prediction unit is used for obtaining the temperature change rate in unit time and predicting the temperature change time F 2 ；
A comparison unit for comparing the set temperature change time F 1 And predicting the temperature change time F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with 。
18. The intelligent targeted brain cryogenic device control system of claim 17, wherein the comparison sets the temperature change time F 1 And predicting temperature changeTime F 2 Size, adjusting the set temperature T of the temperature regulator Is provided with Comprising:
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 In this case, the temperature T of the temperature regulator is lowered Is provided with 。
19. The intelligent targeted brain cryogenic device control system of claim 17,
based on the first prediction model, the set temperature T of the temperature regulator is obtained Is provided with Wherein the first predictive model is as follows:
；
wherein ,T1 For the temperature data of the first temperature monitor, T 2 Is the temperature data of the second temperature monitor, T 3 For the anal temperature data monitored by the first monitoring probe, T 4 For brain temperature data of the second monitoring probe, T Is provided with For setting the temperature of the temperature regulator, T Pre-preparation Is the expected cooling temperature.
20. The intelligent targeted brain cryogenic device control system of claim 17,
obtaining the temperature change rate in unit time, and predicting the temperature change time F 2 Comprising:
acquiring initial brain temperature data T monitored by a second monitoring probe 41 ；
Recording an interval time a;
acquiring brain temperature data T monitored by a second monitoring probe after interval time a 42 ；
The temperature change rate b is obtained and the temperature change rate b,；
calculating a predicted temperature change time F 2 ，。
21. The intelligent targeted brain cryogenic device control system of claim 17,
wherein the expected cooling temperature T is determined based on the early examination condition of the patient and the multi-mode brain function monitoring data condition Pre-preparation Comprising:
determining the disease grade related to the disease based on the early examination condition of the patient, and assigning a value;
determining a physical grade related to the disorder based on the multi-modal brain function monitoring data condition of the patient, and assigning a value;
determining an expected cooling temperature T through a data prediction model based on the disease grade and the body grade Pre-preparation The data prediction model is as follows:
wherein ,for the grade of the ith disorder, +.>For the body class associated with the ith condition, i is a positive integer greater than or equal to 1 and less than or equal to n.
22. The intelligent targeted brain cryogenic device control system of claim 17,
when the temperature change time F is set 1 Less than the predicted temperature change time F 2 When in use, the method further comprises the following steps:
acquiring pressure data P of a first pressure monitor 1 Pressure data P of the second pressure monitor 2 And pressure data P of a third pressure monitor 3 And acquiring intracranial pressure data P of the third monitoring probe 4 Blood pressure data P of fourth monitoring probe 5 And cerebral blood flow data V of the sixth monitoring probe Blood vessel ；
Obtaining the propulsion quantity C of the heparin propeller in unit time Liver ；
Obtaining the adjustment speed V of the rolling pump based on the second prediction model Rolling machine Wherein the second predictive model is as follows:
wherein ,for the flow rate adjustment factor, k is V Rolling machine And C Liver Is used for the correlation coefficient of the (c).
23. A storage medium, characterized in that the storage medium includes an intelligent targeted brain cryogenic device control method program, which when executed by a processor, implements the steps of the intelligent targeted brain cryogenic device control method according to any one of claims 6 to 16.
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