Intelligent monitoring analysis method for cardiology department pressing hemostasis device

Abstract

The invention discloses an intelligent monitoring and analyzing method for a cardiology department pressing hemostasis device, and belongs to the technical field of medical instruments. The method is applied to the pressing hemostasis device, the pressing hemostasis device is provided with an air bag, a motion sensor and a pressure sensing unit, the pressure sensing unit is arranged on the bottom face of the pressing hemostasis device, and the pressing state data and the initial state data of the pressing hemostasis device at the current moment are obtained; the pressing state data comprises a first pressure image collected by the pressure sensing unit and first motion data collected by the motion sensor; determining pressing change information according to the pressing state data and the initial state data; and a monitoring result is determined according to the pressing change information and the vital sign data, so that the use convenience of the pressing hemostasis device is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and particularly to an intelligent monitoring and analysis method for a cardiac department pressing hemostasis device. Background Art

[0002] In the cardiac department, puncture operations are required during various surgical procedures. For example, in common digital subtraction angiography, punctures are usually performed at the radial artery or femoral artery. Currently, after the operation, the affected limb generally needs to be immobilized for more than 12 hours, and a pressure hemostasis device is used to compress the puncture point by pressing. In order to avoid skin pressure injuries, the patient needs to turn over every 2 hours. Generally, the head, shoulders, waist, and legs need to be kept in a straight line and turned over in the same direction simultaneously to avoid random twisting and bending of the punctured limb, which may cause the pressure hemostasis device to fall off or shift. Therefore, during this process, medical staff need to accompany and monitor at any time. It can be seen that the pressing hemostasis device requires medical staff to monitor, and its usability is relatively low.

[0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main object of the present invention is to provide an intelligent monitoring and analysis method for a cardiac department pressing hemostasis device, aiming to improve the usability of the pressing hemostasis device. To achieve the above object, the present invention provides an intelligent monitoring and analysis method for a cardiac department pressing hemostasis device, which is applied to a pressing hemostasis device. The pressing hemostasis device is provided with an airbag, a motion sensor, and a pressure sensing unit. The pressure sensing unit is arranged on the bottom surface of the pressing hemostasis device. The intelligent monitoring and analysis method for the cardiac department pressing hemostasis device includes the following steps: Obtain the pressing state data and initial state data of the pressing hemostasis device at the current moment, and obtain vital sign data. The pressing state data includes: the first pressure image collected by the pressure sensing unit and the first motion data collected by the motion sensor; Determine the pressing change information according to the pressing state data and the initial state data; Determine the monitoring result according to the pressing change information and the vital sign data.

[0005] Optionally, the step of determining the pressing change information according to the pressing state data and the initial state data includes: Determine a plurality of target data according to the pressing state data and the initial state data; Generate a first target vector according to the plurality of target data; Match in the pressure hemostasis state vector library according to the first target vector to determine the pressing change information.

[0006] Optionally, the initial state data includes a preset pressure image and preset motion data corresponding to the initial operation state of the pressure hemostasis device. The step of determining multiple target data according to the pressing state data and the initial state data includes: Calculate the average pressure difference, the offset distance and the offset direction of the central pressure area according to the first pressure image and the preset pressure image; Determine the steering data according to the first motion data and the preset motion data; Respectively use the average pressure difference, the offset distance, the offset direction and the steering data as the target data to obtain multiple target data.

[0007] Optionally, after the step of determining the pressing change information according to the pressing state data and the initial state data, the following is further included: When the pressing change information includes the label information of the change state, update the initial state data according to the pressing state data.

[0008] Optionally, the number of the pressing change information is multiple. The step of determining the monitoring result according to the pressing change information and the vital sign data includes: When the pressing change information belongs to the normal pressing state and the vital sign data is normal, determine that the monitoring result is that the patient's state is normal; When the pressing change information belongs to the abnormal pressing state, or the vital sign data is abnormal, determine that the monitoring result is that the patient's state is abnormal.

[0009] Optionally, the step of determining the monitoring result according to the pressing change information and the vital sign data includes: Extract the fluctuation characteristic data of the vital sign data, and determine the abnormal change moment of the vital sign data according to the fluctuation characteristic data; Match the abnormal change moment with the pressing change information, and determine the monitoring result according to the matching result.

[0010] Optionally, the number of the pressing change information is multiple, and each pressing change information corresponds to a data acquisition time. The step of matching the abnormal change moment with the pressing change information and determining the monitoring result according to the matching result includes: When there is a data acquisition time that is the same as the abnormal change moment, and the pressing change information corresponding to the abnormal change moment belongs to the abnormal pressing state, determine that the monitoring result is that the pressure hemostasis is abnormally synchronized with the patient's state.

[0011] Optionally, the step of obtaining vital sign data includes: Obtaining the blood oxygen saturation data and the number of heartbeats per minute collected by a pulse oximeter; Obtaining the arterial pressure data collected by a non-invasive arterial blood pressure monitoring device; Taking the blood oxygen saturation data, the number of heartbeats per minute, and the arterial pressure data as the vital sign data.

[0012] In addition, to achieve the above object, the present invention further provides a compression hemostasis device, which includes: a memory, a processor, and an intelligent monitoring and analysis program for a cardiology compression hemostasis device stored on the memory and operable on the processor. The intelligent monitoring and analysis program for the cardiology compression hemostasis device is configured to implement the steps of the intelligent monitoring and analysis method for the cardiology compression hemostasis device described in any one of the above.

[0013] In addition, to achieve the above object, the present invention further provides a storage medium, on which an intelligent monitoring and analysis program for a cardiology compression hemostasis device is stored. When the intelligent monitoring and analysis program for the cardiology compression hemostasis device is executed by a processor, it implements the steps of the intelligent monitoring and analysis method for the cardiology compression hemostasis device described in any one of the above.

[0014] The present invention proposes an intelligent monitoring and analysis method for a cardiology compression hemostasis device. This method obtains the compression state data and the initial state data of the compression hemostasis device at the current moment, and obtains vital sign data, and determines the compression change information according to the compression state data and the initial state data; compared with the traditional method that requires medical staff to take care of the patient while paying attention to whether the compression hemostasis device is correctly worn and monitoring whether the patient's behavior such as turning over in bed causes the compression hemostasis device to be abnormal, it can intelligently and without direct personnel monitoring the state of the compression hemostasis device, and combines the compression change information and the vital sign data to determine the monitoring result, thereby achieving accurate monitoring of the puncture site of postoperative patients, reducing the monitoring difficulty while improving the monitoring accuracy. Description of the Drawings

[0015] Figure 1 is a schematic structural diagram of a compression hemostasis device in the hardware operating environment related to the embodiment of the present invention; Figure 2 is a schematic flowchart of the first embodiment of the intelligent monitoring and analysis method for a cardiology compression hemostasis device of the present invention; Figure 3 is a schematic flowchart of the second embodiment of the intelligent monitoring and analysis method for a cardiology compression hemostasis device of the present invention.

[0016] The realization, functional features and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the accompanying drawings. Detailed Embodiments

[0017] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0018] Refer to Figure 1 , Figure 1 which is a schematic structural diagram of a pressure hemostasis device for the hardware operating environment involved in the embodiment solution of the present invention.

[0019] As Figure 1 shown, the pressure hemostasis device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interaction device 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The interaction device 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the interaction device 1003 may also be connected to the communication bus through a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0020] Furthermore, the pressure hemostasis device may further include: an airbag, a pressing plate, a gasket, an inflating component, a motion sensor, and a pressure sensing unit. In addition, a fixing belt may be provided for fixing the pressure hemostasis device on the puncture site of the patient. In addition, vital sign data monitored by other devices is obtained through the network interface 1004. This is because other vital sign data needs to be collected by medical device equipment to ensure the accuracy of the data.

[0021] Furthermore, in order to display the monitoring results, the display screen may display the monitoring results and label information of the current change status.

[0022] Those skilled in the art can understand that Figure 1 the structure shown in does not constitute a limitation on the pressure hemostasis device, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0023] As shown in Figure 1 , in the memory 1005 as a storage medium, an operating system, a data storage module, a network communication module, a user interface module, and an intelligent monitoring and analysis program for a cardiology pressing hemostasis device may be included.

[0024] In Figure 1 the pressing hemostasis device shown, the network interface 1004 is mainly used for data communication with other devices; the interaction device 1003 is mainly used for data interaction with users; the processor 1001 and the memory 1005 in the pressing hemostasis device of the present invention may be arranged in the pressing hemostasis device, and the pressing hemostasis device calls the intelligent monitoring and analysis program stored in the memory 1005 through the processor 1001 and executes the intelligent monitoring and analysis method for the cardiology pressing hemostasis device provided by the embodiments of the present invention.

[0025] The embodiments of the present invention provide an intelligent monitoring and analysis method for a cardiology pressing hemostasis device. Referring to Figure 2 , Figure 2 is a schematic flowchart of the first embodiment of an intelligent monitoring and analysis method for a cardiology pressing hemostasis device of the present invention. In this embodiment, applied to the pressing hemostasis device, the pressing hemostasis device is provided with an airbag, a motion sensor, and a pressure sensing unit. The pressure sensing unit is arranged on the bottom surface of the pressing hemostasis device. The intelligent monitoring and analysis method for the cardiology pressing hemostasis device includes the following steps: Step S1, obtain the pressing state data and the initial state data of the pressing hemostasis device at the current moment, and obtain vital sign data. The pressing state data includes: the first pressure image collected by the pressure sensing unit and the first motion data collected by the motion sensor; In this embodiment, the pressure sensing unit can detect the pressure of the pressing hemostasis device on the set position by being arranged on the pressing hemostasis device. Preferably, the pressure sensing unit here is a Body Pressure Mapping System (BPMS), which can accurately measure the pressure data at each position of the contact surface, thereby forming the first pressure image data. The pressing state data here is the data collected at the current moment. The initial state data is the data of the same type as the pressing state data collected before the current moment. Preferably, the initial state data here can be the pressure image and motion data collected by medical staff for the first time after the patient wears the pressing hemostasis device. The vital sign data may include: arterial pressure data, blood oxygen saturation data, heart rate per minute, etc.

[0026] Step S2, determine the pressing change information according to the pressing state data and the initial state data; According to the pressing state data and the initial state data, the pressing change information of the pressing hemostasis device can be determined. It should be noted that when pressing the puncture point, the pressing pressure gradually decreases with the pressing duration. Generally, different pressing time intervals can be set, and different pressing pressures correspond to each different pressing time interval. In addition, the pressing change information here reflects not only the normal pressing state change, but also includes: abnormal changes in the pressing state caused by falling off or tilting. By identifying whether the normal pressing change situation is normal, it is determined whether the pressing change information belongs to the normal pressing state.

[0027] Step S3, determine the monitoring result according to the pressing change information and the vital sign data; Optionally, perform a correlation analysis on the data according to the pressing change information and the vital sign data, determine whether the fluctuation of the vital sign data is related to the pressing change information, and determine whether the pressing change information causes the fluctuation of the vital sign data according to the correlation data, so as to monitor whether the pressing hemostasis device is in a normal operating state.

[0028] In this embodiment, by obtaining the pressing state data and the initial state data of the pressing hemostasis device at the current moment, and obtaining the vital sign data, the pressing change information is determined according to the pressing state data and the initial state data; compared with the traditional method that requires medical staff to take care of the patient while paying attention to whether the pressing hemostasis device is correctly worn and monitoring whether the patient's turning over in bed and other behaviors cause abnormalities in the pressing hemostasis device, it is possible to intelligently and without direct personnel monitoring the state of the pressing hemostasis device, and combine the pressing change information and the vital sign data to determine the monitoring result, thereby realizing accurate monitoring of the puncture site of postoperative patients, improving the monitoring accuracy while reducing the monitoring difficulty and improving the usability.

[0029] Further, based on the first embodiment, a second embodiment of the intelligent monitoring and analysis method for the pressing hemostasis device used in the cardiology department of the present invention is proposed. In this embodiment, refer to Figure 3 , the step of determining the pressing change information according to the pressing state data and the initial state data includes: Step S21, determine a plurality of target data according to the pressing state data and the initial state data; In this embodiment, specifically extract the feature data of the first pressure image as the target data. Optionally, extract the feature data of the first motion data or directly use the first operation data as the target data. Optionally, use the difference between the pressing state data and the initial state data as the target data.

[0030] Step S22: Generate a first target vector based on multiple target data; Specifically, the target data is used as the elements of the vector in a preset order to obtain the first target vector. Here, the first target vector is a vector used to describe the state of the pressure hemostasis device.

[0031] Step S23: Match according to the first target vector in the pressure hemostasis state vector library to determine the pressure change information.

[0032] The pressure hemostasis state vector library here includes multiple vectors with the same dimension as the first target vector. It should be noted that the vectors in the pressure hemostasis state vector library can correspond to one or more identifiers and are obtained from the data collected during the patient's use of the pressure hemostasis device recorded before the current moment. Among them, in order to ensure matching with the first target vector, it is necessary to limit the generation method of the vectors in the pressure hemostasis state vector library to be the same as that of the first target vector. Specifically, calculate the cosine similarity between the vectors in the pressure hemostasis state vector library and the first target vector respectively, and sort the pressure hemostasis state vector library according to the magnitude of the cosine similarity. Select the vector with the highest cosine similarity as the matching result, and use the associated identifier corresponding to the vector with the highest cosine similarity as the pressure change information.

[0033] In this embodiment, multiple target data are determined through the pressure state data and the initial state data, and the pressure change information is determined by matching according to the first target vector in the pressure hemostasis state vector library, so that the operation conditions of the pressure hemostasis device represented by the current type of data can be analyzed from the existing target data, so as to replace medical staff to identify whether the pressure hemostasis device has fallen off, displaced, tilted, etc., thus effectively saving the required medical monitoring resources.

[0034] Further, the initial state data includes a preset pressure image and preset motion data corresponding to the initial operation state of the pressure hemostasis device. The step of determining multiple target data according to the pressure state data and the initial state data includes: Calculate the average pressure difference, the offset distance and the offset direction of the central pressure area according to the first pressure image and the preset pressure image; Specifically, calculate the first average pressure of the first pressure image and the second average pressure of the preset pressure image respectively, and use the difference between the first average pressure and the second average pressure as the average pressure difference. Here, the central pressure area is the second area greater than the preset pressure in the preset pressure image and the first area greater than the preset pressure in the first pressure image. Determine the offset distance and offset direction according to the central coordinates of the first area and the central coordinates of the second area.

[0035] Determine the steering data according to the first motion data and the preset motion data; Specifically, by measuring the downward rotation angle in three-dimensional space, the steering data relative to the preset motion data at the current moment can be determined, so as to reflect the movement of the compression hemostasis device specifically with the movement of the patient.

[0036] Take the average pressure difference, the offset distance, the offset direction, and the steering data as the target data respectively to obtain a plurality of target data.

[0037] In this embodiment, calculate the average pressure difference, the offset distance of the central pressure area, and the offset direction according to the first pressure image and the preset pressure image; determine the steering data according to the first motion data and the preset motion data, which can accurately monitor the data during the wearing process of the compression hemostasis device, so as to ensure the accuracy of subsequent identification of the operating state.

[0038] Further, based on the first embodiment or the second embodiment, a third embodiment of the intelligent monitoring and analysis method for the compression hemostasis device for cardiology of the present invention is proposed. In this embodiment, the number of the pressing change information is multiple, and the step of determining the monitoring result according to the pressing change information and the vital sign data includes: When the pressing change information belongs to the normal pressing state and the vital sign data is normal, determine that the monitoring result is that the patient's state is normal; When the pressing change information belongs to the abnormal pressing state or the vital sign data is abnormal, determine that the monitoring result is that the patient's state is abnormal.

[0039] In this embodiment, the pressing change information includes multiple tags, and the tags here may include: normal pressing state or abnormal pressing state. In addition, the tags here may also include: static state, shaking, rotation, dislocation, pressure reduction, pressure increase, etc. The pressing change information is composed of multiple such tags, and the above tags can be sent to the corresponding display device, and the display device displays the tags of each pressing hemostasis device and the monitoring results. Generally speaking, abnormal arterial pressure data means that the systolic blood pressure is outside the range of 90 - 139 mmHg, the diastolic blood pressure is outside the range of 60 - 89 mmHg, and the blood oxygen saturation is lower than 95%. In some embodiments, when there are large blood pressure fluctuations, it can also be regarded as abnormal vital sign data. For example: if the systolic blood pressure fluctuates by more than 30 mmHg or the diastolic blood pressure fluctuates by more than 20 mmHg within one hour, it is regarded as abnormal vital sign data.

[0040] Further, after the step of determining the pressing change information according to the pressing state data and the initial state data, it further includes: When the pressing change information includes the tag information of the change state, update the initial state data according to the pressing state data.

[0041] When the pressing change information includes the tag information of the change state, it is determined that there is a large change between the current pressing state data and the initial state data. Therefore, the current pressing state data is used as the new initial state data. When there is no such tag information of the change state, it means that there is no large change between the current pressing state data and the initial state data. Therefore, there is no need to update the initial state data.

[0042] In this embodiment, by updating the initial state data, the accuracy of the corresponding pressing change information at each moment can be improved.

[0043] Further, based on the above embodiment, a fourth embodiment of the intelligent monitoring and analysis method for the pressing hemostasis device in the department of cardiology of the present invention is proposed. In this embodiment, the step of determining the monitoring result according to the pressing change information and the vital sign data includes: Extract the fluctuation characteristic data of the vital sign data, and determine the abnormal change moment of the vital sign data according to the fluctuation characteristic data; Match the abnormal change moment with the pressing change information, and determine the monitoring result according to the matching result.

[0044] The fluctuation characteristic data here can be: calculate the fluctuation amplitude of the vital sign data, and determine the time corresponding to the fluctuation amplitude greater than the preset amplitude as the abnormal change moment.

[0045] In some embodiments, blood pressure fluctuation characteristics, heart rate fluctuation characteristics, blood oxygen saturation fluctuation characteristics, etc. are obtained. Generally, the noise in the signal is first removed and the data is segmented into multiple time periods. Then, the segmented data is subjected to Fourier transform to extract frequency domain characteristics. By comparing the frequency domain characteristics corresponding to each time period, when a frequency that does not exist in the data of other time periods appears in a certain time period, it is determined that there are abnormal change moments within that time period.

[0046] Furthermore, the number of the pressing change information is multiple, and each pressing change information corresponds to a data acquisition time. The step of matching the abnormal change moment with the pressing change information and determining the monitoring result according to the matching result includes: When there is a data acquisition time that is the same as the abnormal change moment, and the pressing change information corresponding to the abnormal change moment belongs to an abnormal pressing state, it is determined that the monitoring result is that the pressure hemostasis is abnormally synchronized with the patient's state.

[0047] It should be noted that after the operation, patients often have problems such as abnormal breathing and abnormal cardiovascular caused by anesthesia, and these problems often have similar abnormal vital signs to those of the abnormal pressure hemostasis device. Therefore, in this embodiment, by comparing the data acquisition time with the abnormal change moment, the cause of the abnormal vital signs is effectively distinguished. This avoids the situation where medical staff are unable to effectively determine the cause when the patient shows abnormal vital signs.

[0048] Furthermore, the step of obtaining the vital sign data includes: Obtaining the blood oxygen saturation data and the heart rate per minute collected by a pulse oximeter; Obtaining the arterial pressure data collected by a non-invasive arterial blood pressure monitoring device; Taking the blood oxygen saturation data, the heart rate per minute, and the arterial pressure data as the vital sign data.

[0049] In other embodiments, due to the different actual situations of patients, other vital sign data can also be used, such as: body temperature data, exhaled carbon dioxide data, cerebral oxygen saturation data, etc. Through the above-mentioned vital sign data, the health of the patient and the operation of the device can be effectively monitored.

[0050] In addition, an embodiment of the present invention also provides a pressure hemostasis device, which is characterized in that the pressure hemostasis device includes: a memory, a processor, and an intelligent monitoring and analysis program for a cardiovascular medicine pressure hemostasis device stored on the memory and executable on the processor. The intelligent monitoring and analysis program for the cardiovascular medicine pressure hemostasis device is configured to implement the steps of the intelligent monitoring and analysis method for the cardiovascular medicine pressure hemostasis device described in any one of the above.

[0051] In addition, an embodiment of the present invention further provides a storage medium, on which an intelligent monitoring and analysis program for a cardiology pressing hemostasis device is stored. When the intelligent monitoring and analysis program for the cardiology pressing hemostasis device is executed by a processor, the steps of the intelligent monitoring and analysis method for the cardiology pressing hemostasis device described in any one of the above are implemented.

[0052] It should be noted that in this document, the terms "including", "comprising" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of another identical element in the process, method, article or system including that element.

[0053] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0054] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0055] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied to other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An intelligent monitoring and analysis method for a cardiology compression hemostasis device, characterized in that: Applied to a compression hemostasis device, the compression hemostasis device is provided with an air bag, a motion sensor and a pressure sensing unit, the pressure sensing unit is provided on the bottom surface of the compression hemostasis device, and the intelligent monitoring and analysis method for the compression hemostasis device of the cardiology department includes the following steps: Acquire the pressing state data and initial state data of the pressing hemostasis device at the current moment, and acquire the vital sign data, wherein the pressing state data includes: the first pressure image acquired by the pressure sensing unit and the first motion data acquired by the motion sensor; Determine the pressing change information according to the pressing state data and the initial state data; A monitoring result is determined according to the compression change information and the vital sign data.

2. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 1, characterized in that: The step of determining the pressing change information according to the pressing state data and the initial state data comprises: determining a plurality of target data according to the pressing state data and the initial state data; generating a first target vector according to a plurality of target data; The compression change information is determined according to matching the first target vector in the compression hemostasis state vector library.

3. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 2, characterized in that: The initial state data includes a preset pressure image and preset motion data corresponding to the initial state of the pressing hemostasis device, and the step of determining a plurality of target data according to the pressing state data and the initial state data includes: Calculate the average pressure difference, the offset distance and the offset direction of the central pressure area according to the first pressure image and the preset pressure image; determining steering data according to the first motion data and the preset motion data; The average pressure difference, the offset distance, the offset direction and the steering data are respectively used as the target data to obtain a plurality of target data.

4. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 1, characterized in that: After the step of determining the pressing change information according to the pressing state data and the initial state data, the method further includes: When the pressure change information includes label information of the changed state, the initial state data is updated according to the pressure state data.

5. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 1, characterized in that: The number of the compression change information is multiple, and the step of determining the monitoring result according to the compression change information and the vital sign data includes: When the compression change information belongs to a normal compression state, and the vital sign data does not have an abnormality, determining that the monitoring result is that the patient is in a normal state; When the compression change information belongs to an abnormal compression state, or when the vital sign data is abnormal, it is determined that the monitoring result is that the patient state is abnormal.

6. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 1, characterized in that: The step of determining the monitoring result according to the pressure change information and the vital sign data comprises: Extracting fluctuation characteristic data of the vital sign data, and determining the abnormal change time of the vital sign data according to the fluctuation characteristic data; The abnormal change moment is matched with the pressure change information, and the monitoring result is determined according to the matching result.

7. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to claim 6, characterized in that: There are multiple pieces of pressure change information, each piece of pressure change information corresponds to a data collection time, and the step of matching the abnormal change time with the pressure change information and determining the monitoring result according to the matching result includes: When there is a data collection time that is the same as the abnormal change moment, and the compression change information corresponding to the abnormal change moment belongs to an abnormal compression state, it is determined that the monitoring result is an abnormal synchronization between compression hemostasis and the patient state.

8. The intelligent monitoring and analysis method for a cardiology compression hemostasis device according to any one of claims 1 to 7, characterized in that: The step of obtaining vital sign data comprises: Obtain blood oxygen saturation data and heart rate per minute collected by pulse oximeter; Acquire arterial pressure data collected by non-invasive arterial blood pressure monitoring equipment; The blood oxygen saturation data, the heart beats per minute and the arterial pressure data are used as the vital sign data.

9. A compression hemostasis device, characterized in that: The compression hemostasis device includes: a memory, a processor, and an intelligent monitoring and analysis program for a cardiology compression hemostasis device stored in the memory and executable on the processor. The intelligent monitoring and analysis program for a cardiology compression hemostasis device is configured to implement the steps of an intelligent monitoring and analysis method for a cardiology compression hemostasis device as described in any one of claims 1 to 8.

10. A storage medium, characterized in that: The storage medium stores an intelligent monitoring and analysis program for a cardiology compression hemostasis device, and when the intelligent monitoring and analysis program for a cardiology compression hemostasis device is executed by a processor, the steps of the intelligent monitoring and analysis method for a cardiology compression hemostasis device as described in any one of claims 1 to 8 are implemented.

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