CN210091730U - Carotid artery detection system - Google Patents
Carotid artery detection system Download PDFInfo
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- CN210091730U CN210091730U CN201921390641.7U CN201921390641U CN210091730U CN 210091730 U CN210091730 U CN 210091730U CN 201921390641 U CN201921390641 U CN 201921390641U CN 210091730 U CN210091730 U CN 210091730U
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- 210000001715 carotid artery Anatomy 0.000 title claims abstract description 60
- 238000001514 detection method Methods 0.000 title claims abstract description 12
- 230000017531 blood circulation Effects 0.000 claims abstract description 45
- 230000010365 information processing Effects 0.000 claims abstract description 31
- 238000011156 evaluation Methods 0.000 claims abstract description 19
- 230000010354 integration Effects 0.000 claims abstract description 13
- 238000003384 imaging method Methods 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 12
- 238000002604 ultrasonography Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 239000000523 sample Substances 0.000 claims description 6
- 208000006011 Stroke Diseases 0.000 abstract description 37
- 206010008190 Cerebrovascular accident Diseases 0.000 abstract description 11
- 230000002265 prevention Effects 0.000 abstract description 7
- 230000002490 cerebral effect Effects 0.000 abstract description 6
- 230000035487 diastolic blood pressure Effects 0.000 description 16
- 230000000004 hemodynamic effect Effects 0.000 description 14
- 238000013517 stratification Methods 0.000 description 12
- 230000035488 systolic blood pressure Effects 0.000 description 9
- 230000036772 blood pressure Effects 0.000 description 7
- 238000012502 risk assessment Methods 0.000 description 7
- 238000000034 method Methods 0.000 description 6
- 210000004204 blood vessel Anatomy 0.000 description 4
- 230000009861 stroke prevention Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000003205 diastolic effect Effects 0.000 description 2
- 238000002595 magnetic resonance imaging Methods 0.000 description 2
- 208000012902 Nervous system disease Diseases 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 210000004004 carotid artery internal Anatomy 0.000 description 1
- 208000006170 carotid stenosis Diseases 0.000 description 1
- 238000013170 computed tomography imaging Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001435 haemodynamic effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Abstract
The utility model discloses a carotid artery detecting system, include: the parameter acquisition device is used for acquiring target carotid artery blood flow parameters; the image acquisition device is used for acquiring an ultrasonic image of the target carotid artery; and the information processing device is used for generating carotid artery evaluation information according to the carotid artery blood flow parameters and the ultrasonic image, wherein the evaluation information comprises stroke early warning information and carotid artery blood vessel imaging information. According to the utility model discloses still disclose an information processing apparatus, according to the utility model discloses a system and device can distinguish the apoplexy early warning expert and the integration of carotid artery blood vessel imaging information is in the same place through parameter acquisition device and image acquisition device to can provide comprehensive scientific foundation for accurate detection and evaluation cerebral apoplexy prevention.
Description
Technical Field
The utility model relates to a haemodynamics technical field, especially a carotid artery detecting system.
Background
Stroke is a common nervous system disease in the world, has great harm to the health and life of the middle-aged and elderly people, and is also the disease with the highest disability rate. Intervention is performed through exposed stroke risk factors in community people to obtain a certain effect, but how to implement group prevention into individual prevention, the risk degree of stroke of the community people can be detected and early warned, and ultra-early intervention treatment is adopted to restrain or delay the occurrence of stroke, which is a serious and urgent subject at present.
In clinical application, CT and MRI (magnetic resonance imaging) examination only diagnoses stroke patients, but cannot monitor and early warn stroke patients. How to carry out the apoplexy early warning to the people who has not taken place the apoplexy in advance, assess its apoplexy danger degree and early prevention and treatment, it is urgent to reduce cerebral apoplexy incidence.
At present, the prevention products for cerebral apoplexy have the limitation of detection technology, cerebrovascular hemodynamic integral (CVHI) lacks the support of image information, and color Doppler ultrasound lacks a built-in expert discrimination system.
SUMMERY OF THE UTILITY MODEL
In order to solve the problems, the inventor thinks that the blood flow speed and the blood vessel compliance of the internal carotid artery of the human body are detected clinically, the calculation is carried out by a special model for hydrodynamics mathematics, and then various indexes reflecting the blood dynamics state of the cerebral blood vessel are obtained by the judgment of a built-in expert judgment system. And then, the imaging examination is carried out, and stroke early warning expert discrimination and carotid artery blood vessel imaging information are integrated together, so that comprehensive scientific basis can be provided for accurately detecting and evaluating stroke prevention.
To this end, according to an aspect of the present invention, there is provided a carotid artery detection system comprising: the parameter acquisition device is used for acquiring target carotid artery blood flow parameters; the image acquisition device is used for acquiring an ultrasonic image of the target carotid artery; and the information processing device is used for generating carotid artery evaluation information according to the carotid artery blood flow parameters and the ultrasonic images, and the evaluation information comprises stroke early warning information and carotid artery blood vessel imaging information. From this, can acquire the blood flow parameter of carotid through parameter acquisition device, corresponding ultrasonic image is obtained to rethread image acquisition device, later integrates the two to can provide comprehensive scientific basis for accurate detection and evaluation cerebral apoplexy prevention.
In some embodiments, the carotid blood flow parameters include blood flow signals and pressure signals, and the parameter acquisition device includes: a first parameter acquisition unit for acquiring a blood flow signal of a carotid artery; and the second parameter acquisition unit is used for acquiring a pressure signal corresponding to the current blood flow signal of the carotid artery. Thus, blood flow signals and pressure signals for assessing and calculating the current carotid velocity may be acquired for further calculations.
In some embodiments, an information processing apparatus includes: the blood flow integration module is used for generating the current blood flow velocity according to the blood flow signal and the pressure signal; and the expert judgment library is used for judging the current blood flow velocity and the ultrasonic image to generate carotid artery evaluation information and output the information. From this, can calculate the important parameter who obtains the aassessment carotid through the parameter of blood flow integral module to acquireing, the evaluation is carried out to the carotid parameter that has combined the image to the expert's suggestion of rethread, can be more accurate and the parameter that obtains the carotid of multidimension degree carries out the apoplexy early warning, aassessment its apoplexy danger degree and early prevention treatment to reduce the cerebral apoplexy incidence.
In some embodiments, the information processing apparatus further comprises a measurement module for generating a carotid artery measurement parameter from the evaluation information. Thus, multiple parameters of the carotid artery can be analyzed, and more accurate results can be obtained.
In some embodiments, the first parameter acquisition unit is implemented as a flow rate probe connected to the information processing apparatus, and the second parameter acquisition unit is implemented as a pressure probe connected to the information processing apparatus. Therefore, the blood flow velocity and pressure can be obtained atraumatically, and the operation is convenient and simple.
In some embodiments, the image acquisition device is implemented as an ultrasound diagnostic apparatus connected to the information processing device. Thus, an image can be acquired by the ultrasonic diagnostic apparatus.
In some embodiments, the information processing apparatus further includes an image processing module for acquiring an ultrasound image of the ultrasound diagnostic apparatus for analysis, and generating a measurement result.
In some embodiments, the information processing apparatus is implemented as a computer configured with a blood flow integral module, an expert decision library, a measurement module, and an image processing module. Therefore, the stroke early warning expert distinguishing library and the image information of the carotid artery are integrated, and comprehensive scientific basis is provided for accurately detecting and evaluating the stroke prevention.
Drawings
FIG. 1 is a block diagram of a carotid artery detection system according to an embodiment of the present invention;
fig. 2 is a flowchart of a processor implementation method of an information processing apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 schematically shows a block diagram of a carotid artery detection system according to an embodiment of the invention, as shown in fig. 1,
the carotid artery detection system comprises a parameter acquisition device 1, an image acquisition device 2 and an information processing device 3. The parameter acquiring device 1 is used for acquiring target carotid artery blood flow parameters, wherein the carotid artery blood flow parameters comprise blood flow signals and pressure signals, the parameter acquiring device 1 comprises a first parameter acquiring unit 101 and a second parameter acquiring unit 102, and the first parameter acquiring unit 101 is used for acquiring the blood flow signals of the carotid artery and is realized as a flow velocity probe connected with the information processing device 3; the second parameter acquisition unit 102 is configured to acquire a pressure signal corresponding to a current blood flow signal of the carotid artery, and is implemented as a pressure probe connected to the information processing apparatus 3. The image acquisition device 2 is used for acquiring an ultrasonic image of a target carotid artery and is realized as an ultrasonic diagnostic apparatus connected with the information processing device 3, and the ultrasonic diagnostic apparatus is an ultrasonic diagnostic apparatus with the functions of ultrasonic scanning, image processing, measurement, calculation and storage; and the information processing device 3 is used for generating carotid artery evaluation information according to the carotid artery blood flow parameters and the ultrasonic images, wherein the evaluation information comprises stroke early warning information and carotid artery blood vessel imaging information, and is realized by a computer provided with a blood flow integral module, an expert judgment library, a measurement module and an image processing module.
The ultrasonic diagnostic apparatus comprises a Software Development Kit (SDK), wherein the software development kit can be used for controlling the operation of the ultrasonic diagnostic apparatus, and specifically, after the ultrasonic diagnostic apparatus is initialized by the Software Development Kit (SDK), the state data of the ultrasonic diagnostic apparatus can be read, the working mode of the ultrasonic diagnostic apparatus can be set, and the working parameters of the ultrasonic diagnostic apparatus can be adjusted. The information processing device 3 has the function of switching the control parameter acquisition device 1 and the image acquisition device 2, judges and determines whether to read the stored ultrasonic image output according to the switching parameter by presetting the switching parameter, calls the function of the ultrasonic diagnostic apparatus according to the interface of the software package of the ultrasonic diagnostic apparatus, thereby acquiring the stored ultrasonic image and calling the ultrasonic diagnostic apparatus according to the set control parameter.
The information processing apparatus 3 includes a blood flow integration module 301 and an expert determination library 302: and the blood flow integration module is used for generating the current blood flow velocity according to the blood flow signal and the pressure signal.
And the expert judgment library is used for judging the current blood flow velocity and the ultrasonic image and generating carotid artery evaluation information for output. The expert judgment library is specifically realized as follows: the method comprises the steps of firstly configuring stroke risk assessment indexes, integral rules and index threshold information storage of all indexes, wherein the stroke risk assessment indexes comprise first stroke risk assessment indexes and second stroke risk assessment indexes. In this embodiment, the first stroke risk assessment indicator is preferably a cerebrovascular hemodynamic index of 20 items, and the second stroke risk assessment indicator is preferably blood pressure. Correspondingly, the index threshold information includes index threshold information corresponding to 20 indexes of cerebrovascular hemodynamics and index threshold information corresponding to blood pressure. The index threshold information of the 20 indexes of cerebrovascular hemodynamics is 20 index data of cerebrovascular hemodynamics of various groups of normal people grouped according to gender and age, and can be specifically referred to a reference value of cerebrovascular hemodynamics index detection parameters published by Wanggui et al. The index threshold information of the blood pressure is systolic scoring level information and diastolic scoring level information. Wherein, the systolic scoring hierarchy information comprises: a systolic stratification baseline value, a systolic stratification maximum value, a systolic scoring stratification interval, and a systolic scoring number of layers defined based on the systolic stratification baseline value, the systolic stratification maximum value, and the systolic scoring stratification interval. The method can be specifically realized as follows: using 139mmHg as a systolic pressure layering baseline, using 200mmHg as a systolic pressure layering maximum value, sequentially dividing a scoring level according to every 6mmHg rise of systolic pressure, and dividing a systolic pressure interval larger than 139mmHg and smaller than 200mmHg into 10 scoring levels. That is, the systolic blood pressure first scoring level is (139, 145), the second scoring level is (145, 151, … …, and so on, and the tenth scoring level is (193, 199.) the diastolic scoring level information includes a diastolic blood pressure stratification base value, a diastolic blood pressure stratification maximum value, a diastolic blood pressure scoring level interval, and a diastolic blood pressure scoring level number defined based on the diastolic blood pressure stratification base value, the diastolic blood pressure stratification maximum value, and the diastolic blood pressure scoring level interval, and it is specifically realized that 89mmHg is used as the diastolic blood pressure stratification base line, 120mmHg is used as the diastolic blood pressure stratification maximum value, one scoring level is divided for every 3 increases in diastolic blood pressure, and the diastolic blood pressure intervals larger than 89mmHg and smaller than 120mmHg are divided into 10 scoring levels in total, that is, the diastolic blood pressure first scoring level is (89, 92), the second scoring level is (92, 95), … …, and so on, the tenth scoring level is (116, 119]. Accordingly, the integration rule includes an integration rule of integrating 20 items of index data of the subject's cerebrovascular hemodynamics, an integration rule of integrating the subject's blood pressure, and a comprehensive integration rule. The integration rule for integrating 20 index data of blood vessel hemodynamics of the blood vessel of the examined person is as follows: and comparing the numerical information of the 20 indexes of the cerebrovascular hemodynamics of the examined person with the data of the 20 indexes of the cerebrovascular hemodynamics of the normal person corresponding to the sex and the age of the examined person respectively according to the sex and the age of the examined person, integrating according to the deviation amplitude, and counting to obtain the total integral value of the 20 indexes of the cerebrovascular hemodynamics of the examined person. The integration rule for integrating the blood pressure of the subject is as follows: respectively giving the systolic pressure and the diastolic pressure of the examined person minus (n x 0.5) according to the nth scoring level; when the systolic pressure and the diastolic pressure are not more than the layering base line values, 0 is subtracted; when the systolic pressure and the diastolic pressure are not less than the maximum layering value, 5 points are subtracted; and counting to obtain the total integral value of the blood pressure of the examinee. The comprehensive integration rule is as follows: and counting the total integral value of the 20 indexes of the cerebrovascular hemodynamics of the examinee and the total integral value of the blood pressure to obtain a stroke risk integral result.
The expert judgment library also stores basic information of the examinee. The basic information of the examinee includes the examinee's name, age, sex, height, weight, Body Mass Index (BMI), heart rate, etc. When the current blood flow velocity and the ultrasound image are received, basic information of the examinee, stroke risk assessment indexes, integral rules and index threshold information of each index are obtained for analysis and processing, and the specific processing mode can be combined with the integral rules to carry out operation to generate carotid artery evaluation information.
In a preferred embodiment, the information processing apparatus further comprises a measurement module 303, the measurement module 303 being configured to generate a carotid artery measurement parameter based on the evaluation information. The carotid artery measurement parameters comprise basic information of a detected person, 20 index data of cerebrovascular hemodynamics of the detected person, 20 index data of cerebrovascular hemodynamics of a normal person corresponding to the sex and the age of the detected person, systolic pressure data of the detected person, diastolic pressure data of the detected person, stroke risk integral results and index evaluation results, and the specific implementation mode can be obtained by operation according to the integral rules.
The information processing device further comprises an image processing module 304, which is used for acquiring an ultrasonic image of the ultrasonic diagnostic apparatus for analysis, generating a measurement result, specifically displaying a target by using the image processing, measuring and calculating functions of the ultrasonic diagnostic apparatus, and generating and storing the measurement result.
According to the carotid artery detection system provided by the embodiment, the image information of the stroke early warning expert discriminant library and the carotid artery can be integrated together, so that a comprehensive scientific basis is provided for accurately detecting and evaluating stroke prevention.
Figure 2 schematically shows a flow chart of an implementation method of a processor of an information processing apparatus according to an embodiment of the present invention,
the information processing apparatus includes a storage medium and a processor, wherein,
as shown in fig. 2, the method of the present embodiment includes the following steps:
step S201: receiving carotid artery blood flow parameters for analysis and processing, and generating stroke early warning information, wherein the carotid artery blood flow parameters comprise blood flow signals and pressure signals, and the system can be referred to for the specific implementation method of analysis and processing. In other embodiments, the carotid artery measurement parameters further include carotid artery vessel wall parameters and carotid artery plaque parameters for multi-dimensional provision of early warning information.
Step S202: the ultrasound image information is received and processed to generate carotid artery blood vessel imaging information, and the specific implementation manner of the system can refer to the description of the system implementation.
Step S203: and responding to the user request, and acquiring stroke early warning information and/or carotid artery blood vessel imaging information output. When a user sends a use instruction for the information processing device, such as an instruction for acquiring a stroke warning signal or carotid artery imaging information, related equipment is called to acquire information, and the specific implementation mode can be described in the above.
In a preferred embodiment, a carotid artery measurement parameter output is also generated from the stroke warning information and the carotid artery vessel imaging information. The generation manner may refer to the above description.
According to the method provided by the embodiment, the stroke early warning expert discrimination and the carotid artery blood vessel imaging information can be integrated together, so that a comprehensive scientific basis can be provided for accurately detecting and evaluating the stroke prevention.
What has been described above are only some embodiments of the invention. For those skilled in the art, without departing from the inventive concept, several modifications and improvements can be made, which are within the scope of the invention.
Claims (8)
1. A carotid artery detection system, comprising:
the parameter acquisition device is used for acquiring target carotid artery blood flow parameters;
the image acquisition device is used for acquiring an ultrasonic image of the target carotid artery;
and the information processing device is used for generating carotid artery evaluation information according to the carotid artery blood flow parameters and the ultrasonic images, and the evaluation information comprises stroke early warning information and carotid artery blood vessel imaging information.
2. The system of claim 1, wherein the carotid blood flow parameters comprise blood flow signals and pressure signals, and the parameter acquisition device comprises:
a first parameter acquisition unit for acquiring a blood flow signal of a carotid artery;
and the second parameter acquisition unit is used for acquiring a pressure signal corresponding to the current blood flow signal of the carotid artery.
3. The system according to claim 2, wherein the information processing apparatus comprises:
the blood flow integration module is used for generating a current blood flow velocity according to the blood flow signal and the pressure signal; and
and the expert judgment library is used for judging the current blood flow velocity and the ultrasonic image to generate carotid artery evaluation information and outputting the information.
4. The system according to claim 2 or 3, wherein the information processing apparatus further comprises a measurement module for generating carotid artery measurement parameters from the evaluation information.
5. The system of claim 4, wherein the first parameter acquisition unit is implemented as a flow rate probe connected to an information processing device, and the second parameter acquisition unit is implemented as a pressure probe connected to the information processing device.
6. The system according to claim 5, characterized in that the image acquisition device is realized as an ultrasound diagnostic apparatus connected with the information processing device.
7. The system according to claim 6, wherein said information processing apparatus further comprises
And the image processing module is used for acquiring the ultrasonic image of the ultrasonic diagnostic apparatus for analysis and generating a measurement result.
8. The system according to claim 7, wherein the information processing apparatus is realized as a computer configured with a blood flow integration module, an expert judgment library, a measurement module, and an image processing module.
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Denomination of utility model: A Carotid Artery Detection System Effective date of registration: 20220923 Granted publication date: 20200218 Pledgee: Bank of China Limited Guangzhou Development Zone Branch Pledgor: GUANGZHOU HUAKEYING MEDICAL TECHNOLOGY CO.,LTD. Registration number: Y2022980015997 |
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Address after: Building A, No. 29 Bishan Street, Huangpu District, Guangzhou City, Guangdong Province, 510000, 902 Patentee after: Huakeying Medical Technology (Guangzhou) Co.,Ltd. Country or region after: China Address before: 510000 Guangzhou 203-204 high tech Industrial Development Zone, Guangdong, Guangzhou, 3 Patentee before: GUANGZHOU HUAKEYING MEDICAL TECHNOLOGY CO.,LTD. Country or region before: China |