Coronary artery disease risk prediction method for chest pain patient and daily exercise device

By constructing and applying the predictive model of clinical data of patients with coronary artery disease, combined with the use of daily exercise devices, the safety and nursing needs of patients with coronary artery disease during exercise are solved, and timely intervention and improvement of patient prognosis are achieved.

CN119541854AActive Publication Date: 2025-02-28CHONGQING MEDICAL UNIVERSITY
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Patent Information

Application Number
CN202411591119.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-02-28
Estimated Expiration
2044-11-08

AI Technical Summary

Technical Problem

Patients with coronary artery disease may experience unstable standing due to insufficient blood supply during daily exercise, and need timely support from accompanying staff. Patients with larger weight need more manpower to provide safe care, which consumes a lot of manpower and time.

Method used

Provide a method for predicting coronary artery disease risk by collecting clinical data, identifying risk factors, building predictive models, predicting whether chest pain patients have coronary artery disease risks, and combining daily exercise devices, including auxiliary exercise mechanisms, monitoring modules, human-computer interaction modules and processing modules, to provide safe exercise guidance.

Benefits of technology

Through the application of predictive models, it can promptly intervene and improve patient prognosis, reduce the manpower and time consumption of nursing needs, and improve the safety and effectiveness of patients' exercise.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of medical apparatus and instruments, and particularly discloses a coronary artery disease risk prediction method for a chest pain patient and a daily exercise device.The method comprises the following steps that clinical data of multiple samples are collected; performing statistical analysis on the clinical data to obtain risk factors; constructing a prediction model, inputting the risk factors into the prediction model, and training the prediction model; and acquiring risk factors from the electronic medical record data of the chest pain patient, and inputting the risk factors into the trained prediction model to predict whether the chest pain patient suffers from the coronary artery disease or not. According to the technical scheme, the key clinical features are identified and the prediction model is established, so that high-risk patients can be identified in time, a basis is provided for early intervention and prognosis improvement, and the method has important clinical application value.
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Description

Technical Field

[0001] The present invention belongs to the technical field of medical devices and relates to a method for predicting the risk of coronary artery disease for patients with chest pain and a daily exercise device. Background Art

[0002] Blood enters the heart via two main coronary arteries and travels through a network of vessels on the surface of the heart muscle to nourish the heart. Coronary artery disease (CAD) is a narrowing of the arteries due to the accumulation of atherosclerotic material within the lumen of the arteries. This narrowing can lead to insufficient blood supply to the myocardium, especially in situations of increased myocardial demand, resulting in myocardial ischemia. Atherosclerotic material is a soft, fatty substance that forms on the inner surface of the arteries through interaction with blood elements (cells and clotting factors) and fats carried by the blood. Over time, atherosclerotic plaques calcify and harden. Early detection of coronary atherosclerosis is extremely important given its high morbidity, hospitalization, disability, and mortality rates.

[0003] Patients with coronary artery disease also need to do more relaxing exercises such as jogging and slow walking on a daily basis to help improve their cardiopulmonary function. However, patients with coronary artery disease are in poor health and may become unstable when exercising due to insufficient blood supply or other reasons. They must have a caregiver present to help them when they fall and prevent injuries. If the patient is heavy, only one caregiver may not be able to meet the safety care needs. This requires more manpower to care for patients with coronary artery disease and takes up a lot of time for medical staff or their families. Summary of the invention

[0004] The purpose of the present invention is to provide a method for predicting the risk of coronary artery disease in patients with chest pain and a daily exercise device to predict whether the patient with chest pain is a patient with coronary artery disease so as to intervene in time and improve the patient's prognosis.

[0005] In order to achieve the above object, the basic scheme of the present invention is: a method for predicting the risk of coronary artery disease in patients with chest pain, comprising the following steps:

[0006] Collect clinical data from multiple samples;

[0007] Perform statistical analysis on collected clinical data to identify risk factors associated with coronary artery disease;

[0008] Building a prediction model based on the identified risk factors and training the prediction model;

[0009] The risk factors in the electronic medical record data of patients with chest pain were obtained and input into the trained prediction model to predict whether the patients with chest pain were at risk of coronary artery disease.

[0010] The working principle and beneficial effects of this basic solution are as follows: This technical solution collects clinical characteristic data of samples, screens risk factors, and only uses risk factors for subsequent prediction, avoiding problems such as too many model indicators leading to slow calculation speed and poor performance of the prediction model. The prediction model predicts whether a patient with chest pain has coronary artery disease based on risk factors, and is easy to operate, so as to intervene in time and improve patient prognosis.

[0011] Furthermore, the missing value algorithm is used to fill in the missing value of clinical data with a missing rate of ≤30%. The specific missing value filling method is:

[0012] The values ​​of the clinical data of all samples are obtained and the clinical data of one sample is taken as a set, and the known data of the same type as the data to be filled in a certain sample in the clinical data of all samples are sorted in order of size;

[0013] Weights were set for the remaining types of clinical characteristic data except for missing values. If some data were missing, the value was taken as 0;

[0014] Clustering algorithms are used to cluster the remaining types of clinical data of the samples;

[0015] Select the data to be filled corresponding to the cluster where the sample is located as the filling value.

[0016] Failure to collect or save data due to mechanical or human reasons results in missing data and generates missing values. The missing values ​​in the data make the authenticity of the data unguaranteed, so the data needs to be filled to enhance the reliability of the data. Data with a large missing rate has low authenticity and no filling value, so it can be directly excluded.

[0017] Furthermore, the sensitivity, specificity, accuracy, AUC, PLR and NLR values ​​of the prediction model are collected, and the collected data values ​​are compared with the preset corresponding value ranges to obtain the comparison difference, and the prediction performance of the prediction model is evaluated based on the comparison difference.

[0018] Evaluate the various data of the prediction model to determine the calculation performance of the prediction model so as to optimize the prediction model in the future and to determine the reliability of the prediction model.

[0019] Furthermore, the risk factors include age, monocytes, high-density lipoprotein cholesterol, aspartate aminotransferase and alanine aminotransferase, etc.

[0020] The above factors have a great impact on coronary artery disease. The prediction model can judge whether a patient with chest pain is a coronary artery disease patient based only on these risk factors, and the judgment is more accurate.

[0021] Furthermore, the prediction model adopts a random forest model, a GdBoost model, an XGBoost model, a CatBoost model or a logistic regression model.

[0022] Choose the appropriate model according to your needs for easy use.

[0023] The present invention also provides a daily exercise device for patients with coronary artery disease, comprising an auxiliary exercise mechanism, a monitoring module, a human-computer interaction module and a processing module;

[0024] The auxiliary motion mechanism comprises a treadmill, a second gear, a U-shaped rack, a connecting rod and a telescopic rod, wherein a first gear is coaxially connected to an output shaft of a motor of the treadmill, a positioning rod is provided on a side of the first gear, a second gear is sleeved on the positioning rod, the second gear can move along the positioning rod to mesh with the first gear, and the second gear is connected to a push rod;

[0025] The incomplete gear is arranged above the treadmill and located at the front side of the treadmill. The incomplete gear is connected to the second gear through a synchronous transmission connecting piece. The incomplete gear is located inside the U-shaped rack. The arc end of the U-shaped rack is not provided with meshing teeth. One end of the connecting rod is hinged to the edge of the incomplete gear, and the other end is hinged to one end of the telescopic rod. The other end of the telescopic rod is hinged to the open end of the U-shaped rack. The hinge between the connecting rod and the telescopic rod and the open end of the U-shaped rack are both connected with a gripping piece.

[0026] The monitoring mechanism is worn on the patient and is used to collect the patient's physical data;

[0027] The human-computer interaction module is arranged on the side of the auxiliary motion mechanism, and the output end of the human-computer interaction module is connected to the processing module. The processing module executes the method described in the present invention to predict whether the chest pain patient is a patient with coronary artery disease, and returns the prediction result to the human-computer interaction module for display.

[0028] A treadmill is set up, and the patient can directly walk or jog on the treadmill. When the patient needs to perform upper limb exercise assistance at the same time, the second gear can be pushed to mesh with the first gear. The treadmill runs through the first gear to drive the second gear to rotate, and then based on the synchronous transmission connection, the incomplete gear is driven to rotate.

[0029] When the incomplete gear rotates at the arc end of the U-shaped rack, there is no meshing tooth at this arc end, and the U-shaped rack does not move. At this time, the rotation of the incomplete gear drives the connecting rod and the telescopic rod to swing. At this time, the patient can grasp the grasping piece at the hinge of the connecting rod and the telescopic rod to move the upper limbs, and move the arm with the movement of the grasping piece, so as to swing at multiple angles and positions, and the movement is more comprehensive.

[0030] The patient can grasp the gripping piece at the open end of the U-shaped rack and push the U-shaped rack relative to the incomplete gear, so that the incomplete gear meshes with the meshing teeth on the U-shaped rack. In this way, the incomplete gear rotates, and its gear teeth mesh with the meshing teeth on one side of the U-shaped rack. At this time, the U-shaped rack translates to one side. When the incomplete gear rotates and meshes with the meshing teeth on the other side of the U-shaped rack, the U-shaped rack translates to the other side, controlling the horizontal reciprocating movement of the U-shaped rack, thereby driving the patient's arm to perform horizontal bending movement. This drives the patient to exercise and provides auxiliary guidance, which is more labor-saving, conducive to the patient's persistence, and avoids excessive exercise or improper exercise posture.

[0031] If the patient does not exercise the lower limbs, the patient can exercise the upper limbs by himself, and the patient's arm can spontaneously grasp the grasping piece to push the U-shaped rack to translate, or the connecting rod and the telescopic rod to swing.

[0032] At the same time, the monitoring agency is used to monitor the patient's physical data at any time, and the human-computer interaction module and processing module can be used to check at any time whether the patient has coronary artery disease, so as to intervene in time and increase exercise.

[0033] Furthermore, it also includes a protection mechanism, which includes a protection plate, a support rod, an elastic protection member, a cylinder and an airbag;

[0034] The protective plate is arranged at the rear side of the treadmill, the support rods are arranged at both sides of the protective plate, one end of the support rod is connected to the protective plate, and the other end is rotatably hinged to the frame of the treadmill, a slide groove is arranged on both sides of the protective plate, a first slider is slidably connected in the slide groove, the first slider is hinged with a first swing rod, and the end of the first swing rod away from the first slider is connected to a power source for controlling the swing thereof, the power source is installed on the frame or the ground, and the power source and the treadmill are at the same horizontal position;

[0035] The elastic protective member is connected to a hinged rod at one side away from the protective plate, one end of the hinged rod is hinged to the support rod, and the other end is hinged to a second swing rod, the second swing rod is connected to a second slider at one end away from the hinged rod, and the second slider is slidably connected to the slide groove, the first slider is provided with a first magnetic member, and the second slider is provided with a second magnetic member attracted to the first magnetic member;

[0036] The cylinder is arranged on the side of the protective plate, the airbag is arranged on the side of the protective plate facing the patient, a permanent magnetic ring is arranged on the piston in the cylinder, a movable magnetic ring with opposite magnetic properties to the permanent magnetic ring is arranged on the first slider, gas is arranged between the top of the cylinder and the piston, and the top of the cylinder is connected to the airbag through an air pipe.

[0037] A protective plate and an elastic protective member are provided to protect the patient when the patient moves. The power source is used to control the first swinging rod to swing to form different angles with the horizontal plane. The first slider on the first swinging rod moves synchronously and slides in the slide groove on the protective plate to push the protective plate upward and tilt it, and adjust the contact between the protective plate and the horizontal plane, thereby adjusting the distance and angle between the protective plate and the patient. At the same time, the second slider is magnetically connected to the first slider. The movement of the first slider drives the second slider to move synchronously. The movement of the second slider controls the swing angle of the second swinging rod and adjusts the support area between the elastic protective member and the protective plate.

[0038] In addition, when the first slider moves upward, the magnetic effect can be utilized to drive the piston in the cylinder to move upward, so as to push the gas in the cylinder into the airbag and control the expansion of the airbag.

[0039] If the patient accidentally falls, the patient is located between the elastic protective parts on both sides of the protective plate, and the patient falls on the protective plate. The airbags on the protective plate provide shock-absorbing protection, thereby preventing falls and improving sports safety.

[0040] Further, it also includes a distance sensor, a distance comparator, a pressure sensor, a pressure comparator and an alarm module;

[0041] The distance sensor is arranged on the outer wall of the airbag facing the patient, the output end of the distance sensor is connected to the first input end of the distance comparator, and the second input end of the distance comparator is connected to the distance threshold memory;

[0042] The pressure sensor is arranged on the outer wall of the airbag facing the patient, the output end of the pressure sensor is connected to the first input end of the pressure comparator, and the second input end of the pressure comparator is connected to the pressure threshold memory;

[0043] The output end of the pressure comparator is connected to the output end of the distance comparator through a NOT gate and the raising control end of the power source through an AND gate. The output end of the pressure comparator is connected to the reset control end of the power source and the control end of the alarm module. The alarm module is installed on the remote terminal of the patient's family or medical staff.

[0044] The distance sensor collects the distance signal between the patient standing on the treadmill and the airbag on the protective plate, and transmits it to the distance comparator, which compares the collected distance signal value with the distance threshold in the distance threshold memory. The pressure comparator collects the pressure signal of the airbag. When the patient falls and presses on the airbag, the pressure signal value collected by the pressure sensor is greater than the pressure threshold in the pressure threshold memory.

[0045] When the collected distance signal value is greater than the distance threshold and the patient has not fallen, the distance comparator outputs a control signal, and the pressure comparator outputs a control signal to the AND gate after passing through the NOT gate, and the AND gate is connected to output a control signal to the lifting control end of the power source, controlling the power source to rotate, driving the first swing rod to swing, and the first slider to swing and lift one side of the protective plate. Until the collected distance signal value is less than or equal to the distance threshold, the distance comparator no longer outputs a control signal, and the power source stops.

[0046] When the patient falls and presses on the airbag, the patient needs to lie flat for first aid and to facilitate breathing. At this time, the pressure comparator outputs a control signal to the reset control end of the power source, driving the protective plate to reset to a horizontal position so that the patient can lie flat. At the same time, the alarm module is activated to send out an alarm signal to notify the patient's family or nursing staff to check the situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a structural schematic diagram of the auxiliary motion mechanism of the daily exercise device for patients with coronary artery disease of the present invention.

[0048] The figure marks in the drawings of the specification include: treadmill 1, first gear 2, second gear 3, positioning rod 4, U-shaped rack 5, incomplete gear 6, connecting rod 7, telescopic rod 8, structure 9, protective plate 10, support rod 11, elastic protective part 12, cylinder 13, airbag 14, first swing rod 15, power source 16, second swing rod 17, hinged rod 18, piston 19, distance sensor 20, pressure sensor 21. DETAILED DESCRIPTION

[0049] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0050] In the description of the present invention, it is necessary to understand that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0051] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0052] The present invention discloses a method for predicting the risk of coronary artery disease in patients with chest pain, comprising the following steps:

[0053] Clinical data of multiple samples were collected, as shown in Table 1 ;

[0054] The collected clinical data are statistically analyzed to identify risk factors associated with coronary artery disease; preferably, the risk factors include age, monocytes, high-density lipoprotein cholesterol, aspartate aminotransferase and alanine aminotransferase, etc.

[0055] A prediction model is constructed based on the identified risk factors, and the prediction model is trained; preferably, the prediction model adopts a random forest model, a GdBoost model, an XGBoost model, a CatBoost model or a logistic regression model.

[0056] The risk factors in the electronic medical record data of patients with chest pain were obtained and input into the trained prediction model to predict whether the patients with chest pain were patients with coronary artery disease.

[0057] The clinical characteristic data of the samples are collected and the risk factors are screened. Only the risk factors are used for subsequent predictions to avoid problems such as too many model indicators leading to slow calculation speed and poor performance of the prediction model. The prediction model predicts whether the chest pain patient has coronary artery disease based on the risk factors. The operation is simple, so as to intervene in time and improve the patient's prognosis.

[0058] Table 1 Clinical data of samples

[0059]

[0060]

[0061] In a preferred embodiment of the present invention, a missing value algorithm is used to fill in clinical data with a missing rate of ≤30%. The specific missing value filling method is:

[0062] The values ​​of the clinical data of all samples are obtained and the clinical data of one sample is taken as a set, and the known data of the same type as the data to be filled in a certain sample in the clinical data of all samples are sorted in order of size;

[0063] Weights were set for the remaining types of clinical characteristic data except for missing values. If some data were missing, the value was taken as 0;

[0064] Clustering algorithms are used to cluster the remaining types of clinical data of the samples;

[0065] Select the data to be filled corresponding to the cluster where the sample is located as the filling value.

[0066] Failure to collect or save data due to mechanical or human reasons results in missing data and generates missing values. The missing values ​​in the data make the authenticity of the data unguaranteed, so the data needs to be filled to enhance the reliability of the data. Data with a large missing rate has low authenticity and no filling value, so it can be directly excluded.

[0067] In a preferred embodiment of the present invention, the sensitivity, specificity, accuracy, AUC (area under the ROC curve), PLR (positive likelihood ratio) and NLR (negative likelihood ratio) values ​​of the prediction model are collected, the collected data values ​​are compared with the preset corresponding value ranges, the comparison difference is obtained, and the prediction performance of the prediction model is evaluated based on the comparison difference.

[0068] Evaluate the various data of the prediction model to determine the calculation performance of the prediction model so as to optimize the prediction model in the future and to determine the reliability of the prediction model.

[0069] The present invention also provides a daily exercise device for patients with coronary artery disease, such as Figure 1 As shown, it includes an auxiliary motion mechanism, a monitoring module, a human-computer interaction module and a processing module.

[0070] The auxiliary motion mechanism includes a treadmill 1, a second gear 3, a U-shaped rack 5, a connecting rod 7 and a telescopic rod 8. The first gear 2 is coaxially connected to the motor output shaft of the treadmill 1. When the treadmill 1 is started, the motor drives the first gear 2 to rotate. A positioning rod 4 is provided on the side of the first gear 2. The positioning rod 4 can be fixedly installed (such as riveted, welded, etc.) on the frame of the treadmill 1. The second gear 3 is sleeved on the positioning rod 4. The second gear 3 is rotatably connected to the positioning rod 4. The second gear 3 can move along the positioning rod 4 to mesh with the first gear 2. A push rod is connected to the end face of the second gear 3.

[0071] A structure 9 such as a frame or a mounting rod having a certain height is fixedly installed at the front end of the treadmill 1, and an incomplete gear 6 is rotatably installed at a certain height position of the structure 9. The incomplete gear 6 is located above the treadmill 1 and at the front side of the treadmill 1. The U-shaped rack 5 is slidably connected to the structure 9. For example, a transverse groove is provided on the structure 9. The structure 9 can also be provided as a retractable rod body or a lifter is used to adjust the height. The incomplete gear 6 is connected to the second gear 3 through a synchronous transmission connection (such as a belt, a transmission chain, etc.), and the rotation of the second gear 3 will drive the incomplete gear 6 to rotate.

[0072] The incomplete gear 6 is located on the inner side of the U-shaped rack 5. The arc end of the U-shaped rack 5 is not provided with meshing teeth. One end of the connecting rod 7 is hinged to the edge of the incomplete gear 6, and the other end is hinged to one end of the telescopic rod 8. The other end of the telescopic rod 8 is hinged to the open end of the U-shaped rack 5. The hinge between the connecting rod 7 and the telescopic rod 8, as well as the open end of the U-shaped rack 5 are all connected with a gripping piece.

[0073] A rocker mechanism similar to that of a telescopic rod is formed between the incomplete gear 6, the connecting rod 7 and the telescopic rod 8. The telescopic rod 8 adopts a commonly used telescopic rod 8 structure 9 to meet the requirements of telescopic deformation. Its length can be adjusted according to the needs of the user, and its scope of use is wider.

[0074] The monitoring mechanism is worn on the patient to collect the patient's physical data. The human-computer interaction module is arranged on the side of the auxiliary motion mechanism, and the output end of the human-computer interaction module is connected to the processing module. The processing module executes the method of the present invention to predict whether the chest pain patient is a coronary artery disease patient, and returns the prediction result to the human-computer interaction module for display.

[0075] The treadmill 1 is set up, and the patient can directly perform slow walking or jogging on the treadmill 1. When the patient needs to perform upper limb exercise assistance at the same time, the second gear 3 can be pushed to mesh with the first gear 2, and the treadmill 1 drives the second gear 3 to rotate through the first gear 2, and then drives the incomplete gear 6 to rotate based on the synchronous transmission connection.

[0076] When the incomplete gear 6 rotates at the arc end of the U-shaped rack 5, there is no meshing tooth at this arc end, and the U-shaped rack 5 does not move. At this time, the rotation of the incomplete gear 6 drives the connecting rod 7 and the telescopic rod 8 to swing. At this time, the patient can grasp the grasping piece at the hinge of the connecting rod 7 and the telescopic rod 8 to exercise the upper limbs, and move the arm with the movement of the grasping piece, and swing at multiple angles and positions, so that the movement is more comprehensive.

[0077] The patient can grasp the gripping piece at the open end of the U-shaped rack 5, push the U-shaped rack 5 relative to the incomplete gear 6, so that the incomplete gear 6 meshes with the meshing teeth on the U-shaped rack 5, so that the incomplete gear 6 rotates, and its gear teeth mesh with the meshing teeth on one side of the U-shaped rack 5, and the U-shaped rack 5 translates to one side. When the incomplete gear 6 rotates and meshes with the meshing teeth on the other side of the U-shaped rack 5, the U-shaped rack 5 translates to the other side, controlling the horizontal reciprocating movement of the U-shaped rack 5, thereby driving the patient's arm to perform horizontal bending movement. This drives the patient to exercise and provides auxiliary guidance, which is more labor-saving, conducive to the patient's persistence, and also avoids excessive exercise or improper exercise posture.

[0078] If the patient does not exercise the lower limbs, the patient can exercise the upper limbs by himself, and the patient's arm can spontaneously grasp the grasping piece to push the U-shaped rack 5 to translate, or the connecting rod 7 and the telescopic rod 8 to swing.

[0079] At the same time, the monitoring agency is used to monitor the patient's physical data at any time, and the human-computer interaction module and processing module can be used to check at any time whether the patient has coronary artery disease, so as to intervene in time and increase exercise.

[0080] In a preferred embodiment of the present invention, the daily exercise device further comprises a protection mechanism, which comprises a protection plate 10 , a support rod 11 , an elastic protection member 12 , a cylinder 13 and an air bag 14 .

[0081] The protective plate 10 is arranged at the rear side of the treadmill 1, and the support rods 11 are arranged on both sides of the protective plate 10. One end of the support rod 11 is connected to the protective plate 10 (such as riveted, bolted, etc.), and the other end is rotatably hinged to the frame of the treadmill 1. Slide grooves are arranged on both sides of the protective plate 10, and a first slider is slidably connected in the slide groove. The first slider is hinged to a first swinging rod 15. The end of the first swinging rod 15 away from the first slider is connected to a power source 16 for controlling its swing. The power source 16 is installed on the frame or the ground, and the power source 16 and the treadmill 1 are at the same horizontal position.

[0082] An elastic protective member 12 (such as elastic fabric, elastically deformable rubber plate, etc.) is connected to a hinged rod 18 on the side away from the protective plate 10. One end of the hinged rod 18 is rotatably hinged to the support rod 11, and the other end is hinged to a second swing rod 17. The second swing rod 17 is connected to a second slider at one end away from the hinged rod 18. The second slider is slidably connected to the slide groove. A first magnetic member is provided on the first slider, and a second magnetic member attracted to the first magnetic member is provided on the second slider (such as a strong magnet, and other devices are made of non-magnetic materials to avoid affecting the magnetic attraction of the magnetic member).

[0083] The cylinder 13 is arranged at the side of the protective plate 10 and will not affect the operation of the protective plate 10. The airbag 14 is arranged on the side of the protective plate 10 facing the patient, a permanent magnetic ring is arranged on the piston 19 in the cylinder 13, a movable magnetic ring with opposite magnetic properties to the permanent magnetic ring is arranged on the first slider, gas is arranged between the top of the cylinder 13 and the piston 19, and the top of the cylinder 13 is connected to the airbag 14 through an air pipe.

[0084] A protective plate 10 and an elastic protective member 12 are provided to protect the patient when the patient moves. The power source 16 is used to control the first swinging rod 15 to swing to form different angles with the horizontal plane (such as counterclockwise swinging to increase height, clockwise swinging to decrease height). The first slider on the first swinging rod 15 moves synchronously and slides in the slide groove on the protective plate 10, pushing the protective plate 10 upward and tilting it, adjusting the contact between the protective plate 10 and the horizontal plane, thereby adjusting the distance and angle between it and the patient. At the same time, the second slider is magnetically connected to the first slider, and the movement of the first slider drives the second slider to move synchronously. The movement of the second slider controls the swing angle of the second swinging rod 17, and adjusts the support area between the elastic protective member 12 and the protective plate 10.

[0085] In the process of the first slider moving upward, the magnetic effect can be used to drive the piston 19 in the cylinder 13 to move upward, so as to push the gas in the cylinder 13 into the airbag 14 and control the expansion of the airbag 14.

[0086] If the patient falls accidentally, the patient is located between the elastic protective members 12 on both sides of the protective plate 10, and the patient falls on the protective plate 10. The airbags 14 on the protective plate 10 provide shock-absorbing protection to improve the safety of exercise.

[0087] In a preferred embodiment of the present invention, the daily exercise device further includes a distance sensor 20, a distance comparator, a pressure sensor 21, a pressure comparator and an alarm module.

[0088] The distance sensor 20 is arranged (such as by bonding, embedding, etc.) on the outer wall of the airbag 14 facing the patient, and the output end of the distance sensor 20 is electrically connected to the first input end of the distance comparator, and the second input end of the distance comparator is electrically connected to the distance threshold memory.

[0089] The pressure sensor 21 is arranged (such as by bonding, embedding, etc.) on the outer wall of the airbag 14 facing the patient, and the output end of the pressure sensor 21 is electrically connected to the first input end of the pressure comparator, and the second input end of the pressure comparator is electrically connected to the pressure threshold memory.

[0090] The output end of the pressure comparator is electrically connected to the output end of the distance comparator through the NOT gate and the raising control end of the power source 16 through the AND gate. The output end of the pressure comparator is electrically connected to the reset control end of the power source 16 and the control end of the alarm module. The alarm module (such as a buzzer, LED light, speaker, etc.) is installed on the remote terminal (such as a mobile phone, computer, etc.) of the patient's family or medical staff.

[0091] The distance sensor 20 collects the distance signal between the patient standing on the treadmill 1 and the airbag 14 on the protective plate 10, and transmits it to the distance comparator, which compares the collected distance signal value with the distance threshold in the distance threshold memory. The pressure comparator collects the pressure signal of the airbag 14. When the patient falls and presses on the airbag 14, the pressure signal value collected by the pressure sensor 21 is greater than the pressure threshold in the pressure threshold memory.

[0092] When the collected distance signal value is greater than the distance threshold and the patient has not fallen, the distance comparator outputs a control signal, and the pressure comparator outputs a control signal to the AND gate after passing through the NOT gate, and the AND gate is connected to output a control signal to the lifting control end of the power source 16, controlling the rotation of the power source 16, driving the first swing rod 15 to swing, and the first slider is linked to swing and lift one side of the protective plate 10. Until the collected distance signal value is less than or equal to the distance threshold, the distance comparator no longer outputs a control signal, and the power source 16 stops.

[0093] When the patient falls and presses on the airbag 14, the patient needs to lie flat for first aid and to facilitate breathing. At this time, the pressure comparator outputs a control signal to the reset control end of the power source 16, driving the protective plate 10 to reset to a horizontal position so that the patient can lie flat. At the same time, the alarm module is activated to send an alarm signal to notify the patient's family or nursing staff to check the situation.

[0094] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0095] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for predicting the risk of coronary artery disease in patients with chest pain, characterized in that: The steps include: Collect clinical data from multiple samples; Perform statistical analysis on collected clinical data to identify risk factors associated with coronary artery disease; Building a prediction model based on the identified risk factors and training the prediction model; The risk factors in the electronic medical record data of patients with chest pain were obtained and input into the trained prediction model to predict whether the patients with chest pain were at risk of coronary artery disease.

2. The method for predicting the risk of coronary artery disease in a patient with chest pain according to claim 1, wherein: For clinical data with missing rate ≤ 30%, missing value algorithm is used to fill in the missing value. The specific missing value filling method is: The values ​​of the clinical data of all samples are obtained and the clinical data of one sample is taken as a set, and the known data of the same type as the data to be filled in a certain sample in the clinical data of all samples are sorted in order of size; Weights were set for the remaining types of clinical characteristic data except for missing values. If some data were missing, the value was taken as 0; Clustering algorithms are used to cluster the remaining types of clinical data of the samples; Select the data to be filled corresponding to the cluster where the sample is located as the filling value.

3. The method for predicting the risk of coronary artery disease in a patient with chest pain according to claim 1, wherein: The sensitivity, specificity, accuracy, AUC, PLR and NLR values ​​of the prediction model were collected, and the collected data values ​​were compared with the preset corresponding value ranges to obtain the comparison difference, and the prediction performance of the prediction model was evaluated based on the comparison difference.

4. The method for predicting the risk of coronary artery disease in a patient with chest pain according to claim 1, wherein: The risk factors include age, monocytes, high-density lipoprotein cholesterol, aspartate aminotransferase, and alanine aminotransferase.

5. The method for predicting the risk of coronary artery disease in a patient with chest pain according to claim 1, wherein: The prediction model adopts a random forest model, a GdBoost model, an XGBoost model, a CatBoost model or a logistic regression model.

6. A daily exercise device for patients with coronary artery disease, characterized in that: It includes auxiliary motion mechanism, monitoring module, human-computer interaction module and processing module; The auxiliary motion mechanism comprises a treadmill, a second gear, a U-shaped rack, a connecting rod and a telescopic rod, wherein a first gear is coaxially connected to an output shaft of a motor of the treadmill, a positioning rod is provided on a side of the first gear, a second gear is sleeved on the positioning rod, the second gear can move along the positioning rod to mesh with the first gear, and the second gear is connected to a push rod; The incomplete gear is arranged above the treadmill and located at the front side of the treadmill. The incomplete gear is connected to the second gear through a synchronous transmission connecting piece. The incomplete gear is located inside the U-shaped rack. The arc end of the U-shaped rack is not provided with meshing teeth. One end of the connecting rod is hinged to the edge of the incomplete gear, and the other end is hinged to one end of the telescopic rod. The other end of the telescopic rod is hinged to the open end of the U-shaped rack. The hinge between the connecting rod and the telescopic rod and the open end of the U-shaped rack are both connected with a gripping piece. The monitoring mechanism is worn on the patient and is used to collect the patient's physical data; The human-computer interaction module is arranged on the side of the auxiliary motion mechanism, and the output end of the human-computer interaction module is connected to the processing module. The processing module executes the method described in one of claims 1-5 to predict whether the chest pain patient is a patient with coronary artery disease, and returns the prediction result to the human-computer interaction module for display.

7. The daily exercise device for patients with coronary artery disease as claimed in claim 6, characterized in that: Also included is a protection mechanism, which includes a protection plate, a support rod, an elastic protection member, a cylinder and an air bag; The protective plate is arranged at the rear side of the treadmill, the support rods are arranged at both sides of the protective plate, one end of the support rod is connected to the protective plate, and the other end is rotatably hinged to the frame of the treadmill, a slide groove is arranged on both sides of the protective plate, a first slider is slidably connected in the slide groove, the first slider is hinged with a first swing rod, and the end of the first swing rod away from the first slider is connected to a power source for controlling the swing thereof, the power source is installed on the frame or the ground, and the power source and the treadmill are at the same horizontal position; The elastic protective member is connected to a hinged rod at one side away from the protective plate, one end of the hinged rod is hinged to the support rod, and the other end is hinged to a second swing rod, the second swing rod is connected to a second slider at one end away from the hinged rod, and the second slider is slidably connected to the slide groove, the first slider is provided with a first magnetic member, and the second slider is provided with a second magnetic member attracted to the first magnetic member; The cylinder is arranged on the side of the protective plate, the airbag is arranged on the side of the protective plate facing the patient, a permanent magnetic ring is arranged on the piston in the cylinder, a movable magnetic ring with opposite magnetic properties to the permanent magnetic ring is arranged on the first slider, gas is arranged between the top of the cylinder and the piston, and the top of the cylinder is connected to the airbag through an air pipe.

8. The daily exercise device for patients with coronary artery disease as claimed in claim 7, characterized in that: Also includes a distance sensor, a distance comparator, a pressure sensor, a pressure comparator and an alarm module; The distance sensor is arranged on the outer wall of the airbag facing the patient, the output end of the distance sensor is connected to the first input end of the distance comparator, and the second input end of the distance comparator is connected to the distance threshold memory; The pressure sensor is arranged on the outer wall of the airbag facing the patient, the output end of the pressure sensor is connected to the first input end of the pressure comparator, and the second input end of the pressure comparator is connected to the pressure threshold memory; The output end of the pressure comparator is connected to the output end of the distance comparator through a NOT gate and the raising control end of the power source through an AND gate. The output end of the pressure comparator is connected to the reset control end of the power source and the control end of the alarm module. The alarm module is installed on the remote terminal of the patient's family or medical staff.

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