CN117297586A - Risk prediction system and device for cardiovascular diseases - Google Patents
Risk prediction system and device for cardiovascular diseases Download PDFInfo
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- CN117297586A CN117297586A CN202311214772.0A CN202311214772A CN117297586A CN 117297586 A CN117297586 A CN 117297586A CN 202311214772 A CN202311214772 A CN 202311214772A CN 117297586 A CN117297586 A CN 117297586A
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- 208000024172 Cardiovascular disease Diseases 0.000 title claims abstract description 38
- 238000012549 training Methods 0.000 claims abstract description 7
- 238000007781 pre-processing Methods 0.000 claims abstract description 5
- 230000007246 mechanism Effects 0.000 claims description 50
- 238000011156 evaluation Methods 0.000 claims description 16
- 238000005259 measurement Methods 0.000 claims description 8
- 210000001217 buttock Anatomy 0.000 claims description 6
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 claims description 6
- 238000003066 decision tree Methods 0.000 claims description 4
- 230000002265 prevention Effects 0.000 claims description 4
- 108010074051 C-Reactive Protein Proteins 0.000 claims description 3
- 102100032752 C-reactive protein Human genes 0.000 claims description 3
- 108010023302 HDL Cholesterol Proteins 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 3
- 230000036760 body temperature Effects 0.000 claims description 3
- 210000001715 carotid artery Anatomy 0.000 claims description 3
- 235000012000 cholesterol Nutrition 0.000 claims description 3
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- 230000000276 sedentary effect Effects 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 claims description 3
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- 238000013480 data collection Methods 0.000 claims description 2
- 230000002526 effect on cardiovascular system Effects 0.000 claims 2
- 230000009286 beneficial effect Effects 0.000 description 6
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
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- 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
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention belongs to the technical field of medical equipment, and particularly discloses a risk prediction system and a risk prediction device for cardiovascular diseases, wherein the system comprises a data acquisition unit and a prediction unit, and the data acquisition unit is used for acquiring basic index parameters of a person to be detected and preprocessing the basic index parameters; the input end of the prediction unit is connected with the output end of the data acquisition unit, the prediction unit constructs at least one analysis model, index parameters of the sample are input into the analysis model for model training, and then index parameters of a person to be tested are input into the analysis model to predict the probability of the person to be tested suffering from cardiovascular diseases. By adopting the technical scheme, the risk prediction of cardiovascular diseases is realized by utilizing the cooperation of the data acquisition unit and the prediction unit, so that early warning is facilitated.
Description
Technical Field
The invention belongs to the technical field of medical appliances, and relates to a risk prediction system and device for cardiovascular diseases.
Background
Cardiovascular disease (CVD) is currently one of the most common and fatal diseases worldwide. It includes coronary heart disease (CAD), apoplexy, heart failure, hypertensive heart disease, rheumatic heart disease, cardiomyopathy, abnormal heart rhythm, etc. Cardiovascular disease has been studied as the leading cause of death worldwide. From young age, people's cardiovascular health will gradually worsen, while unhealthy lifestyle is an important factor affecting heart structure and function. Because the living standard is gradually improved and the bad living habit of young people, especially the work is fast, the pressure ratio of people is high, and cardiovascular diseases become younger, early identification and prediction of the cardiovascular disease risk of patients are important for taking proper intervention and treatment measures, so that the establishment of a risk prediction system and device for cardiovascular diseases has very important significance for personalized prevention and treatment of patients.
Disclosure of Invention
The invention aims to provide a risk prediction system and device for cardiovascular diseases, which can be used for realizing the risk prediction of the cardiovascular diseases so as to early warn.
In order to achieve the above purpose, the basic scheme of the invention is as follows: a risk prediction system for cardiovascular diseases, comprising a data acquisition unit and a prediction unit;
the data acquisition unit is used for acquiring index parameters of a sample and a person to be detected and preprocessing the index parameters;
the prediction unit builds a plurality of analysis models, inputs index parameters of the sample into the analysis models for model training, inputs index parameters of the testee into the analysis models, and predicts the risk level of the testee suffering from cardiovascular diseases.
The working principle and the beneficial effects of the basic scheme are as follows: the data acquisition unit is used for preprocessing data and is beneficial to subsequent use. The prediction unit predicts the risk level of cardiovascular diseases of the testee according to the index parameters of the testee, is simple and convenient to operate, and realizes early warning so as to treat or improve life habits in time.
Further, the system also comprises a model evaluation unit, wherein the model evaluation unit stores the quota evaluation parameters: the sensitivity, the specificity, the precision and the AUC value, the model evaluation unit collects corresponding data of the analysis model, compares the collected data value with the rated evaluation parameter, and evaluates the prediction performance of the analysis model according to the comparison.
And evaluating each item of data of the analysis model by using a model evaluation unit so as to judge the operation performance of the analysis model, so that the analysis model is optimized in the later period, and meanwhile, the reliability of the analysis model is judged.
Further, the analysis model adopts a CatBoost (Gradient Boosting Decision Tree) gradient lifting decision tree model.
And a proper analysis model is selected, so that strong prediction performance and high robustness are provided, and the method is beneficial to use.
Further, the index parameters include body temperature, blood pressure, BMI, heart rate, body mass index, waistline, waist-hip ratio, gender, age, residence place, whether smoking, drinking and sedentary, the areas corresponding to the south and the north are divided in advance, and the south or the north of the residence place is judged according to residence place information.
The analysis model judges the risk level of the cardiovascular disease of the testee according to the parameters, and the judgment accuracy is high.
Further, the risk level of the subject for cardiovascular disease includes:
low risk grade: keep good life work and rest;
medium risk grade: changing bad life style, controlling weight and waistline, and performing exercise prevention training;
high-risk grade: and C, collecting information of C reactive protein, high density lipoprotein cholesterol and total cholesterol, and performing ultrasonic examination of heart and carotid artery to further evaluate risk.
Judging the risk level of the cardiovascular disease of the testee, and giving out the early warning and subsequent treatment schemes of the corresponding level, thereby being beneficial to use.
The invention also provides a risk prediction device for cardiovascular diseases, which comprises a weight measuring table, a supporting plate, a first distance sensor, a measuring mechanism and the system;
the support plates are arranged on two sides of the weight measuring table, the support plates are vertically arranged, and the bottoms of the support plates are connected with the weight measuring table;
a beam is arranged between the tops of the supporting plates, the first distance sensor is arranged on one side of the beam, facing the weight measuring platform, the output end of the first distance sensor is connected with the first input end of the subtracter, the second input end of the subtracter is connected with a first distance threshold memory, and the first distance threshold is the distance length between the beam and the weight measuring platform;
the measuring mechanism is arranged on the supporting plate and is used for measuring waistline and hip circumference of a person to be measured standing on the operating platform;
the weight information output end of the weight measuring table, the output end of the subtracter and the output end of the measuring mechanism are all connected with the input end of the data acquisition unit, a touch display screen is arranged on the side wall of the supporting plate, the output end of the touch display screen is connected with the data acquisition unit, and the output end of the prediction unit is connected with the input end of the touch display screen.
The weight of the person to be measured is collected through the weight measuring platform, and the distance between the cross beam and the head top of the person to be measured is collected through the first distance sensor, so that the height information of the person to be measured is obtained, and the body mass index is obtained through subsequent analysis. And the waist circumference and hip circumference information of the tested person is acquired by using the measuring mechanism, so that whether the waist and abdomen fat exceeds the standard or not can be analyzed. And the collected data are input into the data acquisition unit, other data can be input into the data acquisition unit by utilizing the touch display screen, then the data are transmitted to the prediction unit by the data acquisition unit, and the predicted risk level information is obtained and displayed on the touch display screen, so that a detector can conveniently check the information.
Further, the measuring mechanism comprises a first movable rod, a second movable rod, a tape measure and a camera;
the first moving rod and the second moving rod are transversely arranged and are opposite to each other, one ends of the first moving rod and the second moving rod are connected with control mechanisms for controlling the horizontal transverse movement or the vertical movement of the first moving rod and the second moving rod, the control mechanisms are arranged on the corresponding supporting plates, and the first moving rod and the second moving rod are telescopic rods;
the measuring tape is arranged at the end part of the first movable rod, which is far away from the control mechanism connected with the first movable rod, and the extending end of the measuring tape is connected with the end part of the second movable rod, which is close to the first movable rod;
the camera is arranged at the extending port of the tape measure, digital information on the tape body of the tape measure is collected, and the output end of the camera is connected with the input end of the data collection unit.
The control mechanism controls the first moving rod and the second moving rod to move to the side edge of the waist or the hip of the person to be tested, then controls the first moving rod and the second moving rod to move transversely and move from one side of the waist or the hip to the other side, in the moving process, the end parts of the first moving rod and the second moving rod are always contacted with a human body, and the flexible rule is pulled to encircle the waist or the hip. And meanwhile, the size information of the extension opening of the tape measure is acquired by using the camera, so that the size measurement is realized.
Further, the measuring mechanism further comprises a positioning rod, a first sensing piece, a second sensing piece and a second distance sensor;
one end of the positioning rod is vertically and slidably connected with the one side supporting plate, the positioning rod is transversely arranged, the positioning rod is connected with a positioning mechanism for controlling the positioning of the positioning rod, and the positioning rod can be opposite to the navel position of a human body;
the first sensing piece and the second sensing piece are respectively arranged on opposite end parts of the first moving rod and the second moving rod, the opposite end parts of the first moving rod and the second moving rod can be contacted with each other, the first sensing piece and the second sensing piece are connected in series with the starting end of the camera, the first sensing piece and the second sensing piece are contacted, and the camera is started;
the second distance sensor is arranged on the first moving rod or the second moving rod and used for collecting distance information between the second distance sensor and the positioning rod, the output end of the second distance sensor is connected with the first input end of the first comparator, the second input end of the first comparator is connected with the second distance threshold memory, and the output end of the first comparator is connected with the downward movement control end of the control mechanism.
The positioning rod is arranged, the movable positioning rod of the person to be measured is opposite to the navel of the person to be measured, the positioning of the measuring mechanism is facilitated, and the device is suitable for people with different body types. The first movable rod and the second movable rod are provided with the sensing piece, when the first movable rod and the second movable rod are positioned on one side of a to-be-measured person, the camera is started to collect the size of the initial tape measure, when the first movable rod and the second movable rod move from two side surfaces of the to-be-measured person and then offset again, the waist of the to-be-measured person is measured, at the moment, the camera is started to collect the size of the tape measure, and the waistline data of the to-be-measured person are obtained.
Further, the measuring mechanism further comprises a third distance sensor, a fourth distance sensor and a second comparator;
the third distance sensor and the fourth distance sensor are arranged on the first moving rod or the second moving rod and are positioned on the upper side and the lower side of the corresponding moving rod, the third distance sensor and the fourth distance sensor face towards the back of a human body and are used for collecting distance signals between the third distance sensor and the buttocks of the human body, the output ends of the third distance sensor and the fourth distance sensor are respectively connected with the first input end and the second input end of the second comparator, and the output end of the second comparator is connected with the downward movement control end of the control mechanism.
The third distance sensor and the fourth distance sensor are used for collecting the distance between the third distance sensor and the buttocks of the person to be measured, and the position of the measuring mechanism is controlled, so that more accurate hip circumference information is obtained.
Further, positioning mechanism includes spout and sucking disc, the vertical setting of spout is in the backup pad, the one end and the sucking disc of locating lever are connected, and the locating lever passes through the sucking disc to be connected with the spout, and the locating lever is the telescopic link.
The locating rod is located through the sucking disc and the chute, and easy dismounting does benefit to control.
Drawings
FIG. 1 is a schematic diagram of a device for predicting risk of cardiovascular disease according to the present invention.
Reference numerals in the drawings of the specification include: the weight measuring device comprises a weight measuring table 1, a supporting plate 2, a cross beam 3, a first distance sensor 4, a measuring mechanism 5, a touch display screen 6, a first moving rod 7, a second moving rod 8, a first rod 9, a second rod 10, a spring 11, a tape measure 12, a camera 13, a positioning rod 14, a first sensing piece 15, a second sensing piece 16, a chute 17, a third distance sensor 18, a fourth distance sensor 19 and a sucker 20.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, it should be understood that the terms "longitudinal," "transverse," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, mechanical or electrical, or may be in communication with each other between two elements, directly or indirectly through intermediaries, as would be understood by those skilled in the art, in view of the specific meaning of the terms described above.
The invention discloses a risk prediction system for cardiovascular diseases, which comprises a data acquisition unit and a prediction unit;
the data acquisition unit is used for acquiring index parameters of the sample and the to-be-detected person and preprocessing such as denoising, signal reinforcement, missing value interpolation and the like. The index parameters comprise body temperature, blood pressure, BMI, heart rate, body mass index, waistline, waist-hip ratio, gender, age, residence place, whether smoking, drinking or sedentary, the regions corresponding to the south and the north are divided in advance, and the south or the north of the residence place is judged according to residence place information.
The input end of the prediction unit is electrically connected with the output end of the data acquisition unit, the prediction unit constructs at least one analysis model, index parameters of the sample are input into the analysis model for model training, and then index parameters of a person to be tested are input into the analysis model to predict the risk level of the person to be tested for cardiovascular diseases. Preferably, the analysis model adopts a Logistic regression model, a random forest model, a decision tree model, a support vector machine model, or a limit gradient lifting model, and more preferably, the analysis model adopts a Catboost model.
In a preferred embodiment of the present invention, the risk prediction system for cardiovascular diseases further includes a model evaluation unit, where the model evaluation unit stores a rating parameter: the sensitivity, the specificity, the precision and the AUC value, the model evaluation unit collects corresponding data of the analysis model, compares the collected data value with the rated evaluation parameter to obtain a comparison difference value, and evaluates the prediction performance of the analysis model according to the comparison difference value.
And evaluating each item of data of the analysis model by using a model evaluation unit so as to judge the operation performance of the analysis model, so that the analysis model is optimized in the later period, and meanwhile, the reliability of the analysis model is judged.
In a preferred embodiment of the present invention, the risk level of cardiovascular disease in the subject comprises:
low risk grade: keep good life work and rest;
medium risk grade: changing bad life style, controlling body weight and waistline (waistline directly represents accumulation degree of abdomen and visceral fat, and the greater the waistline is, the higher the incidence risk of cardiovascular diseases is), and performing exercise prevention training;
high-risk grade: and C, collecting information of C reactive protein, high density lipoprotein cholesterol and total cholesterol, and performing ultrasonic examination of heart and carotid artery to further evaluate risk.
Judging the risk level of the cardiovascular disease of the testee, and giving out the early warning and subsequent treatment schemes of the corresponding level, thereby being beneficial to use.
The invention also provides a risk prediction device for cardiovascular diseases, as shown in fig. 1, comprising a weight measuring platform 1, a supporting plate 2, a first distance sensor 4, a measuring mechanism 5 and the system of the invention, wherein the weight measuring platform 1 can adopt the existing conventional platform type weight scale. The upper surface of the weight measuring table 1 is provided with a positioning groove in the shape of a downward concave footprint, and the feet of a person to be measured are treaded in the corresponding positioning groove, so that the person to be measured can be positioned conveniently.
The backup pad 2 sets up in the both sides of weighing platform 1, and two backup pads 2 are parallel arrangement relatively, and backup pad 2 vertical setting, the bottom and the weighing platform 1 fixed connection of backup pad 2 (such as welding, bonding, riveting, etc.). A cross beam 3 is arranged between the tops of the support plates 2, and two ends of the cross beam 3 are welded or riveted with the tops of the corresponding support plates 2. The first distance sensor 4 is installed on one side of the beam 3 facing the weight measuring table 1, and the first distance sensor 4 can be connected with a cylinder, a screw rod or a hydraulic cylinder and other structures for controlling the movement of the first distance sensor 4, and the position of the first distance sensor 4 is adjusted according to the requirement.
The output end of the first distance sensor 4 is electrically connected with the first input end of the subtracter, and the first distance sensor 4 collects the distance information between the first distance sensor and the head top of the to-be-detected person and transmits the distance information to the subtracter. The second input end of the subtracter is electrically connected with a first distance threshold memory, the first distance threshold is the distance length between the cross beam 3 and the weight measuring platform 1, and the subtracter subtracts the acquired distance length from the first distance threshold to acquire the height information of the person to be measured.
A measuring mechanism 5 is mounted on the support plate 2 for measuring the waist and hip circumference of a person to be measured standing on the operating table. The weight information output end of the weight measuring table 1, the output end of the subtracter and the output end of the measuring mechanism 5 are electrically connected with the input end of the data acquisition unit, the side wall of the supporting plate 2 is provided with a touch display screen 6, and the output end of the touch display screen 6 is electrically connected with the data acquisition unit. Relevant body data of the to-be-detected person acquired in real time are input into the data acquisition unit, other parameters which cannot be acquired can be subjected to human-computer interaction by the to-be-detected person through the touch display screen 6, the data acquisition unit is manually input, the operation is simple and convenient, and the data accuracy is higher. The output end of the prediction unit is electrically connected with the input end of the touch display screen 6, and the prediction unit inputs the risk level of cardiovascular diseases of a person to be detected into the touch display screen 6 after judging the risk level, and the risk level is displayed on the touch display screen 6, so that a person to be detected can check conveniently.
In a preferred embodiment of the present invention, the measuring mechanism 5 includes a first movable rod 7, a second movable rod 8, a tape measure 12 and a camera 13, and the measuring scale of the tape measure 12 is made of inelastic flexible materials, such as cloth, plastics, etc. The rotary shaft and the motor for controlling the rotary shaft to rotate can be arranged in the tape measure 12, when the tape measure 12 is pulled outwards, the rotary shaft rotates along with the tape measure 12, the motor has no self-locking function, and when the detection is completed, the motor is started to drive the rotary shaft to rotate, so that the tape measure 12 is reset. Alternatively, the existing self-resetting tape measure 12 configuration may be employed.
The first movable rod 7 and the second movable rod 8 are both transversely arranged and are opposite to each other, one ends of the first movable rod 7 and the second movable rod 8 are both connected with a control mechanism for controlling the horizontal transverse movement or the vertical movement of the first movable rod 7 and the second movable rod 8, the control mechanism can be a combination of structures such as an air cylinder, a hydraulic cylinder or an electric screw rod, and the like, for example, the transversely movable air cylinder is arranged on a telescopic shaft of the longitudinally movable air cylinder, and the movable rod is arranged on the telescopic shaft of the transversely movable air cylinder. Up-and-down movement and lateral movement of the moving rod are realized. The control mechanism is fixedly arranged on the corresponding support plate 2, and the first moving rod 7 and the second moving rod 8 are telescopic rods. For example, the telescopic rod comprises a first rod 9 and a second rod 10, one end of the first rod 9 is connected with the control mechanism, a groove is formed in the other end of the first rod 9, one end of the second rod 10 extends into the groove, a spring 11 is arranged in the groove, one end of the spring 11 is welded with the inner wall of the groove, and the other end of the spring 11 is welded with the end portion of the second rod 10.
The tape measure 12 is fixedly mounted (e.g. glued, welded, etc.) at the end of the first travel bar 7 remote from the control mechanism to which it is attached, and the extended end of the tape measure 12 (i.e. the end of the measuring scale) is connected (e.g. glued, welded, etc.) to the end of the second travel bar 8 adjacent to the first travel bar 7. The first moving rod 7 and the second moving rod 8 move from two sides of the waist of the person to be measured respectively (the ends of the first moving rod 7 and the second moving rod 8 are contacted with the waist of the person to be measured), the measuring ruler of the tape measure 12 surrounds the waist of the person to be measured, and the measuring ruler is attached to (contacted with) the waist of the human body to finish measurement. Buttock data measurement the same applies, taking the measuring tape of the tape measure 12 around the buttock of the tester.
The camera 13 is installed in the extension mouth department of tape measure 12, and camera 13 can weld on the shell of tape measure 12, and camera 13 starts the digital information on the collection tape measure 12 tape body (dipperstick), and the output and the input electric connection of data acquisition unit of camera 13.
The control mechanism controls the first moving rod 7 and the second moving rod 8 to move to the horizontal position of the waist or the hip of the person to be tested and to be positioned on one side of the human body, then controls the first moving rod 7 and the second moving rod 8 to move transversely and to move from one side of the waist or the hip to the other side, and in the moving process, the end parts of the first moving rod 7 and the second moving rod 8 are always contacted with the human body, and the traction tape 12 encircles the waist or the hip. And meanwhile, the size information of the extension opening of the tape measure 12 is acquired by using the camera 13, so that the size measurement is realized.
In a preferred embodiment of the invention, the measuring device 5 further comprises a positioning rod 14, a first sensor plate 15, a second sensor plate 16 and a second distance sensor. One end of the positioning rod 14 is vertically and slidably connected with the one-side supporting plate 2, the positioning rod 14 is transversely arranged, the positioning rod 14 is connected with a positioning mechanism for controlling the positioning of the positioning rod 14, and the positioning rod 14 can be opposite to the navel position of a human body. Preferably, the positioning mechanism comprises a chute 17 and a sucker 20, the chute 17 is vertically arranged on the supporting plate 2, one end of the positioning rod 14 is connected with the sucker 20, the positioning rod 14 is connected with the chute 17 through the sucker 20, and the positioning rod 14 is a telescopic rod. The positioning rod 14 is positioned with the chute 17 through the suction cup 20, so that the positioning rod is convenient to assemble and disassemble and is beneficial to control.
The first sensing piece 15 and the second sensing piece 16 (metal pieces, positive and negative poles) are respectively arranged on opposite ends of the first moving rod 7 and the second moving rod 8, the opposite ends of the first moving rod 7 and the second moving rod 8 can be contacted with each other, the first sensing piece 15 and the second sensing piece 16 are connected in series with the starting end of the camera 13, and the first sensing piece 15 and the second sensing piece 16 are equivalent to contact switches. The first sensor tab 15 is in contact with the second sensor tab 16 and the camera 13 is activated. The sensing pieces are arranged on the first moving rod 7 and the second moving rod 8, when the first moving rod 7 and the second moving rod 8 are positioned on one side of a measured person, the camera 13 starts to collect the size of the initial tape measure 12, when the first moving rod 7 and the second moving rod 8 move from two side surfaces of the measured person and then offset again, the waist of the measured person is measured, at the moment, the camera 13 starts to collect the size of the tape measure 12, and the waistline data of the measured person is obtained.
The second distance sensor is installed on the first movable rod 7 or the second movable rod 8 and is used for collecting vertical distance information between the second distance sensor and the positioning rod 14, the second distance sensor is connected with the corresponding movable rod through a bracket, and when the movable rod initially moves downwards, the positioning rod 14 is located right below the second distance sensor.
The output end of the second distance sensor is electrically connected with the first input end of the first comparator, the second input end of the first comparator is electrically connected with a second distance threshold (such as 1-2.5 cm) memory, and the output end of the first comparator is electrically connected with the downward movement control end of the control mechanism. The second distance sensor collects the distance information between the second distance sensor and the positioning rod 14 (and the vertical distance between the moving rod and the navel of the person to be measured), and transmits the distance information to the first comparator, the first comparator compares the collected distance information with the second distance threshold, when the collected distance value is larger than the second distance threshold range, the first comparator outputs a control signal to the downward movement control end of the control mechanism to control the moving rod to move downward, otherwise, the moving rod stops moving downward to indicate that the waist measuring position is reached. The movable positioning rod 14 of the testee is opposite to the navel of the testee, so that the measuring mechanism 5 is convenient to position, and the portable navel positioning rod is suitable for people with different body types.
More preferably, the measuring mechanism 5 further comprises a third distance sensor 18, a fourth distance sensor 19 and a second comparator. The third distance sensor 18 and the fourth distance sensor 19 are arranged on the first moving rod 7 or the second moving rod 8, the third distance sensor 18 and the fourth distance sensor 19 are arranged on the outer side of the moving rod through a bracket and are positioned on the upper side and the lower side of the corresponding moving rod, the third distance sensor 18 and the fourth distance sensor 19 face towards the back of a human body and are used for collecting distance signals between the third distance sensor 18 and the fourth distance sensor 19 and the buttocks of the human body, the output ends of the third distance sensor 18 and the fourth distance sensor 19 are respectively electrically connected with the first input end and the second input end of the second comparator, and the output end of the second comparator is electrically connected with the downward movement control end of the control mechanism.
The measurement of hip circumference is performed at the most abundant hip position, the distance between the hip circumference and the hip of the person to be measured is acquired by the third distance sensor 18 and the fourth distance sensor 19, and the degree of hip bulge at the upper and lower positions is compared, so that the most abundant hip position of the person to be measured is determined. When the distance data collected by the third distance sensor 18 is smaller than the distance data collected by the fourth distance sensor 19, the hip circumference below the measuring mechanism 5 is larger than the hip circumference above the measuring mechanism, and the hip boundary is not reached, if the distance data collected by the third distance sensor 18 is larger than or equal to the distance data collected by the fourth distance sensor 19, the measuring device is positioned at the most full hip position of the person to be measured, and the hip circumference data at the position is measured more accurately.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., 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 present invention. 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.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A risk prediction system for cardiovascular diseases, which is characterized by comprising a data acquisition unit and a prediction unit;
the data acquisition unit is used for acquiring index parameters of a sample and a person to be detected and preprocessing the index parameters;
the prediction unit builds a plurality of analysis models, inputs index parameters of the sample into the analysis models for model training, inputs index parameters of the testee into the analysis models, and predicts the risk level of the testee suffering from cardiovascular diseases.
2. The risk prediction system for cardiovascular disease according to claim 1, further comprising a model evaluation unit, wherein the model evaluation unit stores a rating scale evaluation parameter: the sensitivity, the specificity, the precision and the AUC value, the model evaluation unit collects corresponding data of the analysis model, compares the collected data value with the rated evaluation parameter to obtain a comparison difference value, and evaluates the prediction performance of the analysis model according to the comparison difference value.
3. The risk prediction system for cardiovascular disease of claim 1, wherein the analysis model employs a Catboost gradient decision tree model.
4. The system of claim 1, wherein the index parameters include body temperature, blood pressure, BMI, heart rate, body mass index, waist circumference, waist-to-hip ratio, gender, age, residence, smoking, drinking, sedentary, dividing regions corresponding to the south and north in advance, and determining the south or north of the residence according to residence information.
5. The risk prediction system for cardiovascular disease according to claim 1, wherein the risk level of the subject for cardiovascular disease comprises:
low risk grade: keep good life work and rest;
medium risk grade: changing bad life style, controlling weight and waistline, and performing exercise prevention training;
high-risk grade: and C, collecting information of C reactive protein, high density lipoprotein cholesterol and total cholesterol, and performing ultrasonic examination of heart and carotid artery to further evaluate risk.
6. A risk prediction device for cardiovascular disease, comprising a weight bench, a support plate, a first distance sensor, a measuring mechanism and a system according to one of claims 1-5;
the support plates are arranged on two sides of the weight measuring table, the support plates are vertically arranged, and the bottoms of the support plates are connected with the weight measuring table;
a beam is arranged between the tops of the supporting plates, the first distance sensor is arranged on one side of the beam, facing the weight measuring platform, the output end of the first distance sensor is connected with the first input end of the subtracter, the second input end of the subtracter is connected with a first distance threshold memory, and the first distance threshold is the distance length between the beam and the weight measuring platform;
the measuring mechanism is arranged on the supporting plate and is used for measuring waistline and hip circumference of a person to be measured standing on the operating platform;
the weight information output end of the weight measuring table, the output end of the subtracter and the output end of the measuring mechanism are all connected with the input end of the data acquisition unit, a touch display screen is arranged on the side wall of the supporting plate, the output end of the touch display screen is connected with the data acquisition unit, and the output end of the prediction unit is connected with the input end of the touch display screen.
7. The cardiovascular risk prediction device of claim 6, wherein the measurement mechanism comprises a first travel bar, a second travel bar, a tape measure, and a camera;
the first moving rod and the second moving rod are transversely arranged and are opposite to each other, one ends of the first moving rod and the second moving rod are connected with control mechanisms for controlling the horizontal transverse movement or the vertical movement of the first moving rod and the second moving rod, the control mechanisms are arranged on the corresponding supporting plates, and the first moving rod and the second moving rod are telescopic rods;
the measuring tape is arranged at the end part of the first movable rod, which is far away from the control mechanism connected with the first movable rod, and the extending end of the measuring tape is connected with the end part of the second movable rod, which is close to the first movable rod;
the camera is arranged at the extending port of the tape measure, digital information on the tape body of the tape measure is collected, and the output end of the camera is connected with the input end of the data collection unit.
8. The cardiovascular risk prediction device of claim 7, wherein the measurement mechanism further comprises a positioning rod, a first sensor plate, a second sensor plate, and a second distance sensor;
one end of the positioning rod is vertically and slidably connected with the one side supporting plate, the positioning rod is transversely arranged, the positioning rod is connected with a positioning mechanism for controlling the positioning of the positioning rod, and the positioning rod can be opposite to the navel position of a human body;
the first sensing piece and the second sensing piece are respectively arranged on opposite end parts of the first moving rod and the second moving rod, the opposite end parts of the first moving rod and the second moving rod can be contacted with each other, the first sensing piece and the second sensing piece are connected in series with the starting end of the camera, the first sensing piece and the second sensing piece are contacted, and the camera is started;
the second distance sensor is arranged on the first moving rod or the second moving rod and used for collecting distance information between the second distance sensor and the positioning rod, the output end of the second distance sensor is connected with the first input end of the first comparator, the second input end of the first comparator is connected with the second distance threshold memory, and the output end of the first comparator is connected with the downward movement control end of the control mechanism.
9. The cardiovascular disease risk prediction device of claim 7, wherein the measurement mechanism further comprises a third distance sensor, a fourth distance sensor, and a second comparator;
the third distance sensor and the fourth distance sensor are arranged on the first moving rod or the second moving rod and are positioned on the upper side and the lower side of the corresponding moving rod, the third distance sensor and the fourth distance sensor face towards the back of a human body and are used for collecting distance signals between the third distance sensor and the buttocks of the human body, the output ends of the third distance sensor and the fourth distance sensor are respectively connected with the first input end and the second input end of the second comparator, and the output end of the second comparator is connected with the downward movement control end of the control mechanism.
10. The cardiovascular disease risk prediction device of claim 8, wherein the positioning mechanism comprises a chute and a suction cup, the chute is vertically arranged on the support plate, one end of the positioning rod is connected with the suction cup, the positioning rod is connected with the chute through the suction cup, and the positioning rod is a telescopic rod.
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CN202311214772.0A CN117297586A (en) | 2023-09-20 | 2023-09-20 | Risk prediction system and device for cardiovascular diseases |
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