CN220526593U - Cardiovascular and cerebrovascular risk prediction system - Google Patents
Cardiovascular and cerebrovascular risk prediction system Download PDFInfo
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- CN220526593U CN220526593U CN202321914161.2U CN202321914161U CN220526593U CN 220526593 U CN220526593 U CN 220526593U CN 202321914161 U CN202321914161 U CN 202321914161U CN 220526593 U CN220526593 U CN 220526593U
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- 230000002526 effect on cardiovascular system Effects 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 124
- 210000001596 intra-abdominal fat Anatomy 0.000 claims abstract description 19
- 239000008280 blood Substances 0.000 claims abstract description 18
- 210000004369 blood Anatomy 0.000 claims abstract description 18
- 210000002700 urine Anatomy 0.000 claims abstract description 18
- 230000036772 blood pressure Effects 0.000 claims abstract description 16
- 238000003384 imaging method Methods 0.000 claims abstract description 10
- 210000001715 carotid artery Anatomy 0.000 claims abstract description 9
- 230000029058 respiratory gaseous exchange Effects 0.000 claims abstract description 7
- 230000002550 fecal effect Effects 0.000 claims abstract description 6
- 208000024172 Cardiovascular disease Diseases 0.000 description 5
- 210000001015 abdomen Anatomy 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 108091008698 baroreceptors Proteins 0.000 description 2
- 238000004159 blood analysis Methods 0.000 description 2
- 230000000747 cardiac effect Effects 0.000 description 2
- 208000006170 carotid stenosis Diseases 0.000 description 2
- 208000026106 cerebrovascular disease Diseases 0.000 description 2
- 210000003608 fece Anatomy 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 210000001774 pressoreceptor Anatomy 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000008816 organ damage Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
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- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The utility model discloses a cardiovascular and cerebrovascular risk prediction system, which comprises a detection unit and a processor, wherein the detection unit comprises a blood detection module, a sleep and respiration detection module, a visceral fat detection module, a urine detection module, a fecal detection module, a fundus imaging module, a pulse wave conduction detection module, a blood pressure detection module, a carotid artery ultrasonic detection module, a heart ultrasonic detection module and an electrocardiogram detection module; the blood detection module, the sleep respiration detection module, the visceral fat detection module, the urine detection module, the fecal detection module, the fundus imaging module, the pulse wave conduction detection module, the blood pressure detection module, the carotid artery ultrasonic detection module, the heart ultrasonic detection module and the electrocardiogram detection module are respectively connected with the processor, various detection instruments are assembled to form a complete detection system, the detection of a subject system is facilitated, the data of the detection instruments are summarized to the processor, and the blank of early prediction of cardiovascular and cerebrovascular is made up.
Description
Technical Field
The utility model belongs to the technical field of health monitoring, and particularly relates to a cardiovascular and cerebrovascular risk prediction system.
Background
Cardiovascular diseases are the primary cause of death and disease burden of residents in China. Once cardiovascular disease occurs, it generally progresses. The bad life habit, three highs and other dangerous factors accumulate for 10-20 years to generate asymptomatic cardiovascular early organ-level damage, and accumulate for 10-20 years to generate cardiovascular and cerebrovascular diseases, and the asymptomatic early organ damage is the early stage of cardiovascular diseases, but is in blank period for early cardiovascular prediction.
Disclosure of Invention
In order to overcome the defects described in the prior art, the utility model provides a cardiovascular and cerebrovascular risk prediction system which systematically predicts the risk of cardiovascular and cerebrovascular diseases.
The technical scheme adopted by the utility model is as follows:
the cardiovascular and cerebrovascular risk prediction system comprises a detection unit and a processor, wherein the detection unit comprises a blood detection module, a sleep and respiration detection module, a visceral fat detection module, a urine detection module, a fecal detection module, a fundus imaging module, a pulse wave conduction detection module, a blood pressure detection module, a carotid artery ultrasonic detection module, a heart ultrasonic detection module and an electrocardiogram detection module; the blood detection module, the sleep and respiration detection module, the visceral fat detection module, the urine detection module, the excrement detection module, the fundus imaging module, the pulse wave conduction detection module, the blood pressure detection module, the carotid artery ultrasonic detection module, the heart ultrasonic detection module and the electrocardiogram detection module are respectively connected with the processor.
As a preferred embodiment of the present utility model, the blood detection module includes a blood detector, and the blood detector is connected to the processor; the blood detector acquires venous blood analysis of the fasting state of the patient and uploads an analysis result to the processor; the blood detector uses a medical examination instrument; the sleep breath detection module comprises a sleep breath detector, and the sleep breath detector is connected with the processor. The sleep breath detector uses a portable sleep breath detector to collect state parameters of a patient during sleep and upload the state parameters to the processor.
As a preferred embodiment of the present utility model, the visceral fat detection module includes a visceral fat detection device, and the visceral fat detection device is connected to the processor. The visceral fat detecting device uses an HDS-2000 apparatus (ohglong, japan), and the obtained visceral fat data is uploaded to the processor through an abdomen measurer and an abdomen electrode pad dedicated to ohglong DUALSCAN.
As a preferable scheme of the utility model, the urine detection module comprises a urine detector, the excrement detection module comprises an excrement detector, and the urine detector and the excrement detector are respectively connected with the processor. The urine and faeces detectors use medical equipment and upload the detection data to the processor, respectively.
As a preferred embodiment of the present utility model, the fundus imaging module includes a fundus camera connected to the processor. The fundus camera acquires fundus photos and uploads the fundus photos to the processor.
As a preferable mode of the utility model, the pulse wave transmission detection module comprises an arterial pulse wave velocity detector; the arterial pulse wave rate detector uses a Sphygomo Cor device (AtCor, australia) to detect that a subject takes a supine position, determines the most obvious part of two target arterial beats, places a baroreceptor probe at the most obvious part, and uploads the obtained pulse wave conduction speed to a processor, and the blood pressure detection module comprises a blood pressure detector which uses VP-1000 (ohm dragon, japan) to measure and detect the blood pressure of limbs.
As a preferable scheme of the utility model, the carotid ultrasonic detection module and the cardiac ultrasonic detection module both comprise Doppler ultrasonic diagnostic instruments; obtaining carotid stenosis information by using a medical Doppler ultrasonic diagnostic apparatus at two sides of carotid artery, and obtaining carotid intima-media thickness information by measuring at the position 2cm near the heart end of the left common carotid bifurcation; detecting at the heart to obtain heart ultrasonic information; the electrocardiograph detection module comprises an electrocardiograph, and the electrocardiograph uses medical equipment to obtain electrocardiographic information of a subject and uploads the electrocardiographic information to the processor.
As a preferable scheme of the utility model, the carotid ultrasonic detection module and the cardiac ultrasonic detection module share one Doppler ultrasonic diagnostic instrument.
As a preferable scheme of the utility model, the utility model further comprises an upper computer, and the upper computer is connected with the processor. The upper computer obtains the processing result of the processor, and the upper computer is provided with reminding equipment, which can be a display screen or an alarm.
As a preferable scheme of the utility model, the system also comprises an upper computer and a mobile terminal, wherein the upper computer is connected with the processor, the mobile terminal is connected with the upper computer through a wireless network, the upper computer can actively send messages to the mobile terminal through the network, or the mobile terminal can send requests to the upper computer, and the upper computer passively sends messages.
The utility model carries out systematic examination on the testee, each examination instrument uploads examination data to the processor, the processor feeds back the result to the upper computer, and the upper computer actively or passively transmits the result to the mobile terminal.
Drawings
In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the utility model, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a functional block diagram of the present utility model.
Detailed Description
The following description of the embodiments of the present utility model will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present utility model, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without any inventive effort, are intended to be within the scope of the utility model.
Examples:
a cardiovascular and cerebrovascular risk prediction system is shown in figure 1, and comprises a detection unit, a processor and an upper computer, wherein the upper computer is connected with the processor, the upper computer obtains a processing result of the processor, and the upper computer is provided with reminding equipment which can be a display screen or an alarm.
The detection unit comprises a blood detection module, a sleep and respiration detection module, a visceral fat detection module, a urine detection module, a fecal detection module, a fundus imaging module, a pulse wave conduction detection module, a blood pressure detection module, a carotid artery ultrasonic detection module, a heart ultrasonic detection module and an electrocardiogram detection module.
The blood detection module comprises a blood detector which is connected with the processor; the blood detector acquires venous blood analysis of the fasting state of the patient and uploads an analysis result to the processor; the blood detector uses a medical examination instrument; the sleep breath detection module comprises a sleep breath detector, and the sleep breath detector is connected with the processor. The sleep breath detector uses a portable sleep breath detector to collect state parameters of a patient during sleep and upload the state parameters to the processor.
The visceral fat detection module comprises a visceral fat detection device which is connected with the processor. The visceral fat detecting device uses an HDS-2000 apparatus (ohglong, japan), and the obtained visceral fat data is uploaded to the processor through an abdomen measurer and an abdomen electrode pad dedicated to ohglong DUALSCAN.
The urine detection module comprises a urine detector, the excrement detection module comprises an excrement detector, and the urine detector and the excrement detector are respectively connected with the processor. The urine and faeces detectors use medical equipment and upload the detection data to the processor, respectively.
The fundus imaging module comprises a fundus camera, and the fundus camera is connected with the processor. The fundus camera acquires fundus photos and uploads the fundus photos to the processor.
The pulse wave conduction detection module comprises an arterial pulse wave velocity detector; arterial pulse wave rate detector using a SphygomoCor device (AtCor, australia), the test takes the subject in a supine position, determines the most pronounced sites of arterial pulse for both targets, places the baroreceptor probe there, and uploads the obtained pulse wave velocity to the processor.
The blood pressure detection module comprises a blood pressure detector, wherein the blood pressure detector is used for detecting limb blood pressure by measuring VP-1000 (ohm dragon, japan).
The carotid ultrasonic detection module and the heart ultrasonic detection module both comprise Doppler ultrasonic diagnostic instruments; to save cost, two detection modules may share a Doppler ultrasound diagnostic apparatus.
Obtaining carotid stenosis information by using a medical Doppler ultrasonic diagnostic apparatus at two sides of carotid artery, and obtaining carotid intima-media thickness information by measuring at the position 2cm near the heart end of the left common carotid bifurcation; detecting at the heart to obtain heart ultrasonic information; the electrocardiograph detection module comprises an electrocardiograph, and the electrocardiograph uses medical equipment to obtain electrocardiographic information of a subject and uploads the electrocardiographic information to the processor.
Of course, the upper computer can also communicate with the mobile terminal through the network, and the upper computer can actively send messages to the mobile terminal through the network, or the mobile terminal can send requests to the upper computer, and the upper computer passively sends messages.
In the description of the present specification, reference to the terms "one embodiment," "example," "specific example," and the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the utility model. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is only a preferred embodiment of the present utility model, but the scope of the present utility model is not limited thereto, and any person skilled in the art, who is within the scope of the present utility model, should make equivalent substitutions or modifications according to the technical scheme of the present utility model and the inventive concept thereof, and should be covered by the scope of the present utility model.
Claims (9)
1. A cardiovascular and cerebrovascular risk prediction system, characterized in that: the device comprises a detection unit and a processor, wherein the detection unit comprises a blood detection module, a sleep and respiration detection module, a visceral fat detection module, a urine detection module, a fecal detection module, a fundus imaging module, a pulse wave conduction detection module, a blood pressure detection module, a carotid artery ultrasonic detection module, a heart ultrasonic detection module and an electrocardiogram detection module; the blood detection module, the sleep and respiration detection module, the visceral fat detection module, the urine detection module, the fecal detection module, the fundus imaging module, the pulse wave conduction detection module, the blood pressure detection module, the carotid artery ultrasonic detection module, the heart ultrasonic detection module and the electrocardiogram detection module are respectively connected with the processor.
2. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the blood detection module comprises a blood detector which is connected with the processor; the sleep breath detection module comprises a sleep breath detector, and the sleep breath detector is connected with the processor.
3. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the visceral fat detection module comprises a visceral fat detection device, and the visceral fat detection device is connected with the processor.
4. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the urine detection module comprises a urine detector, the excrement detection module comprises an excrement detector, and the urine detector and the excrement detector are respectively connected with the processor.
5. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the fundus imaging module comprises a fundus camera, and the fundus camera is connected with the processor.
6. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the pulse wave conduction detection module comprises an arterial pulse wave velocity detector; the blood pressure detection module comprises a blood pressure detector.
7. The cardiovascular and cerebrovascular risk prediction system according to claim 1, wherein: the carotid ultrasonic detection module and the heart ultrasonic detection module both comprise Doppler ultrasonic diagnostic instruments; the electrocardiograph detection module comprises an electrocardiograph.
8. The cardiovascular and cerebrovascular risk prediction system according to claim 7, wherein: the carotid ultrasonic detection module and the heart ultrasonic detection module share one Doppler ultrasonic diagnostic instrument.
9. The cardiovascular and cerebrovascular risk prediction system according to any one of claims 1-8, wherein: the system also comprises an upper computer, wherein the upper computer is connected with the processor or further comprises an upper computer and a mobile terminal, the upper computer is connected with the processor, and the mobile terminal is connected with the upper computer through a wireless network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321914161.2U CN220526593U (en) | 2023-07-20 | 2023-07-20 | Cardiovascular and cerebrovascular risk prediction system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321914161.2U CN220526593U (en) | 2023-07-20 | 2023-07-20 | Cardiovascular and cerebrovascular risk prediction system |
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| CN220526593U true CN220526593U (en) | 2024-02-23 |
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| CN202321914161.2U Active CN220526593U (en) | 2023-07-20 | 2023-07-20 | Cardiovascular and cerebrovascular risk prediction system |
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2023
- 2023-07-20 CN CN202321914161.2U patent/CN220526593U/en active Active
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