CN115629915A

CN115629915A - Medical equipment data processing method and device, medical equipment and storage medium

Info

Publication number: CN115629915A
Application number: CN202211561061.6A
Authority: CN
Inventors: 林国辉
Original assignee: Shenzhen Wisonic Medical Technology Co ltd
Current assignee: Shenzhen Wisonic Medical Technology Co ltd
Priority date: 2022-12-07
Filing date: 2022-12-07
Publication date: 2023-01-20
Anticipated expiration: 2042-12-07
Also published as: CN115629915B

Abstract

The invention discloses a medical equipment data processing method and device, medical equipment and a storage medium. The method comprises the following steps: responding to a received data recovery instruction, and acquiring data to be recovered from a system database; classifying the data to be recovered according to at least two target classification categories to obtain first recovery data corresponding to the at least two target classification categories, wherein each first recovery data carries a timestamp; according to the sequence of the timestamps, sorting the first recovery data corresponding to each target classification category, and determining the second recovery data corresponding to each target classification category; and according to the data recovery strategy corresponding to each target classification category, performing recovery processing on second recovery data corresponding to each target classification category. The method classifies, sorts and recovers the data to be recovered, can achieve the purpose of deeply restoring the data to be recovered, and guarantees the effectiveness, accuracy and time sequence of the recovered data.

Description

Medical equipment data processing method and device, medical equipment and storage medium

Technical Field

The invention relates to the technical field of medical equipment, in particular to a medical equipment data processing method and device, medical equipment and a storage medium.

Background

Medical devices include, but are not limited to, anesthesia machines, ventilators, monitors, and other high-tech products that can assist physicians in rapid diagnosis and treatment. The medical equipment is an electronic computer product and belongs to a robot with instructions to a certain extent, so that the safety and the stability of the operation of the medical equipment need to be greatly tested. The method aims at the abnormity of the medical equipment operation system, extreme caution and attention are needed, detailed information of the abnormity of the medical equipment operation system is generated no matter in the initial development stage, the middle clinical stage or the later stage of marketing of the medical equipment, and the method has great significance for positioning and optimizing product problems and solving medical disputes. The medical equipment on the target market generally only records physiological parameter information closely related to patients, and an effective recording closed loop is not formed for system operation data of the medical equipment in the period from starting operation to ending operation, so that when the medical equipment is in fault or the data needs to be recovered due to other reasons, effective data recovery processing cannot be realized, and in the existing data recovery processing process, the operation of data recovery is complex and the recovery effect is poor due to disordered and disordered system operation data.

Disclosure of Invention

The embodiment of the invention provides a medical equipment data processing method and device, medical equipment and a storage medium, and aims to solve the problems of complex operation and poor recovery effect in the existing medical equipment data recovery process.

A medical device data processing method, comprising:

responding to a received data recovery instruction, and acquiring data to be recovered from a system database;

classifying the data to be recovered according to at least two target classification categories to obtain first recovery data corresponding to the at least two target classification categories, wherein each first recovery data carries a timestamp;

according to the sequence of the timestamps, sequencing first recovery data corresponding to each target classification category, and determining second recovery data corresponding to each target classification category;

and according to the data recovery strategy corresponding to each target classification category, performing recovery processing on second recovery data corresponding to each target classification category.

A medical device data processing apparatus comprising:

the recording system is used for responding to the received data recovery instruction and acquiring data to be recovered from a system database;

the recording system is used for classifying the data to be recovered according to at least two target classification categories to obtain first recovery data corresponding to the at least two target classification categories, and each first recovery data carries a timestamp;

the recording system is used for sequencing the first recovery data corresponding to each target classification category according to the sequence of the timestamps and determining the second recovery data corresponding to each target classification category;

and the recovery system is used for recovering the second recovery data corresponding to each target classification type according to the data recovery strategy corresponding to each target classification type.

A medical device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the medical device data processing method when executing the computer program.

A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the above-mentioned medical device data processing method.

According to the medical equipment data processing method, the medical equipment data processing device, the medical equipment and the storage medium, in response to the data recovery instruction, the data to be recovered can be obtained from the system database, the data to be recovered is classified according to the target classification categories, the first recovery data corresponding to at least two target classification categories is obtained, the first recovery data corresponding to different target classification categories can be prevented from interfering with each other, and the effectiveness and the accuracy of subsequent data recovery processing can be guaranteed; according to the sequence of the timestamps, sequencing first recovery data corresponding to the same target classification category, and determining second recovery data corresponding to each target classification category so as to guarantee the time sequence of the second recovery data; and according to the data recovery strategy corresponding to each target classification category, performing recovery processing on the second recovery data corresponding to each target classification category, and ensuring the effectiveness and accuracy of the data recovery processing on the second recovery data corresponding to different target classification categories. It can be understood that all data to be restored which need to be restored are obtained from the system database, and then classification, sorting and restoration processing are carried out, so that the purpose of deeply restoring the data to be restored can be achieved, and the effectiveness, the accuracy and the time sequence of the restored data are guaranteed.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.

FIG. 1 is a schematic illustration of a medical device in accordance with an embodiment of the present invention;

FIG. 2 is a flow chart of a method for processing data of a medical device according to an embodiment of the present invention;

FIG. 3 is a flowchart of one embodiment of step S202 in FIG. 2;

FIG. 4 is a flowchart of one embodiment of step S204 in FIG. 2;

FIG. 5 is a flowchart of one embodiment after step S204 in FIG. 2;

FIG. 6 is a flowchart of an embodiment before step S201 in FIG. 2;

FIG. 7 is a flowchart of one embodiment of step S602 in FIG. 6;

FIG. 8 is a flowchart of one embodiment of step S603 in FIG. 6;

FIG. 9 is a flowchart of an embodiment after step S603 in FIG. 6.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

According to the data processing method of the medical equipment provided by the embodiment of the invention, the data processing method of the medical equipment can be applied to the medical equipment shown in fig. 1, and an operation system, a recording system and a recovery system are arranged in the medical equipment.

The operation system is a system responsible for controlling the medical equipment to perform operation. As an example, after receiving a power-on instruction triggered by a user, the medical device may control the operating system to start operation, and in the operation process of the operating system, system operation data may be formed and sent to the recording system, so that the recording system stores data. Understandably, after the medical device receives the shutdown instruction triggered by the user, the medical device can control the operation system to quit operation so as to wait for starting after receiving the startup instruction next time.

Wherein the recording system is a system for recording data. In this example, the recording system is not only connected to the system cache, but also connected to the nonvolatile storage space, and may cache the received system operation data in the system cache, and may also store the system operation data in the nonvolatile storage space. Non-volatile storage space herein includes, but is not limited to, system databases.

Wherein, the recovery system is a system for implementing data recovery operations. In this example, the recovery system is connected to the recording system, and the data to be recovered can be acquired by the recording system and subjected to recovery processing.

In an embodiment, as shown in fig. 2, a data processing method for a medical device is provided, which is described by taking the medical device in fig. 1 as an example, and includes the following steps:

s201: responding to a received data recovery instruction, and acquiring data to be recovered from a system database;

s202: classifying data to be recovered according to at least two target classification categories to obtain first recovery data corresponding to the at least two target classification categories, wherein each first recovery data carries a timestamp;

s203: according to the sequence of the timestamps, sequencing first recovery data corresponding to each target classification category, and determining second recovery data corresponding to each target classification category;

s204: and according to the data recovery strategy corresponding to each target classification category, performing recovery processing on second recovery data corresponding to each target classification category.

The data recovery instruction is an instruction for controlling the medical device to perform data recovery, and may be understood as an instruction for recovering data stored in the system database before the current time. The data to be restored refers to data that needs to be restored at this time, and specifically, is system operation data stored in the system database before the current time.

As an example, in step S201, the recording system of the medical device may receive a data recovery instruction triggered by a user, access the system database in response to the received data recovery instruction, and obtain data to be recovered from the system database. In this example, the data recovery instruction may include a target time interval, so that the recording system may read the system operation data with the timestamp within the target time interval from the system database, and determine the system operation data as the data to be recovered.

The target classification category is a category preset by the system and used for realizing data classification processing. The first recovery data is data obtained by classifying the data to be recovered according to the target classification category.

As an example, in step S202, after acquiring the data to be restored, the recording system of the medical device may perform classification processing on the data to be restored according to at least two preset target classification categories, and acquire first restoration data corresponding to the at least two target classification categories. Understandably, data classification is carried out based on the target classification categories so as to avoid mutual interference of first recovery data corresponding to different target classification categories, and the effectiveness and the accuracy of subsequent data recovery processing are favorably ensured. In this example, each first recovery datum displays a timestamp, so that the data are sorted in time sequence based on the timestamp, and the time sequence of the data is guaranteed.

The second recovery data is data that needs to be finally recovered, and specifically is the first recovery data that is sorted according to the sequence of the timestamps.

As an example, in step S203, the recording system of the medical device may sort the first recovery data corresponding to the same target classification category according to the sequence of the timestamps of all the first recovery data, and determine the second recovery data corresponding to each target classification category, so as to ensure the time sequence of the second recovery data. In this example, after determining the second recovery data corresponding to each target classification category, the recording system may send the second recovery data to the recovery system.

The data recovery strategy corresponding to the target classification category is a strategy which is set autonomously for realizing data recovery according to data corresponding to each target classification category.

As an example, in step S204, the recovery system of the medical device may receive second recovery data corresponding to at least two target classification categories sent by the recording system, and then perform recovery processing on the second recovery data corresponding to each target classification category by using a data recovery policy corresponding to each target classification category, so that the medical device can recover the system operation data before the current time according to the sequence of the timestamps. In this example, when the second recovery data corresponding to a certain target classification category is data that needs to be displayed on the display interface, and when the data recovery policy corresponding to the target classification category is executed, the second recovery data corresponding to the target classification category may be controlled to be displayed in the data display area corresponding to each target classification category, so as to implement classification display of the system operation data (i.e., the second recovery data) formed before the current time according to the sequence of the timestamps.

In the embodiment, in response to the data recovery instruction, the data to be recovered can be acquired from the system database, the data to be recovered is classified according to the target classification categories, the first recovery data corresponding to at least two target classification categories is acquired, the first recovery data corresponding to different target classification categories can be prevented from interfering with each other, and the effectiveness and the accuracy of subsequent data recovery processing can be guaranteed; according to the sequence of the timestamps, sequencing first recovery data corresponding to the same target classification category, and determining second recovery data corresponding to each target classification category so as to guarantee the time sequence of the second recovery data; and according to the data recovery strategy corresponding to each target classification category, performing recovery processing on the second recovery data corresponding to each target classification category, and ensuring the effectiveness and accuracy of the data recovery processing on the second recovery data corresponding to different target classification categories. It can be understood that all data to be restored which need to be restored are obtained from the system database, and then classification, sorting and restoration processing are performed, so that the purpose of deeply restoring the data to be restored can be achieved, and the effectiveness, the accuracy and the time sequence of the restored data are guaranteed.

In one embodiment, the target classification categories include at least two first classification categories and at least two second classification categories corresponding to each of the first classification categories;

as shown in fig. 3, step S202, classifying the data to be recovered according to at least two target classification categories, and acquiring first recovery data corresponding to the at least two target classification categories, includes:

s301: performing primary classification on data to be recovered according to at least two first classification categories to obtain first classification recovery data corresponding to the first classification categories;

s302: according to at least two second classification categories corresponding to each first classification category, performing secondary classification on the first classification recovery data corresponding to the first classification category to obtain second classification recovery data corresponding to each second classification category;

and the second recovery data corresponding to the second classification category is the first recovery data corresponding to the target classification category.

The first classification category refers to a first classification category preset by the system. The first classification recovery data refers to data to be recovered which is determined according to the first classification.

As an example, in step S301, after the recording system of the medical device acquires the data to be restored, all the data to be restored may be classified at a first level according to at least two preset first classification categories, and all the data to be restored belonging to the first classification category are determined as first classification restoration data corresponding to the first classification category.

In this example, the first classification category includes, but is not limited to, device operation data corresponding to a device operation category, alarm prompt data corresponding to an alarm prompt category, patient physiological data corresponding to a physiological characteristic category, and system configuration data corresponding to a system configuration category. The device operation category refers to a classification category related to device operation. The device operation data is data generated when a user operates a device such as a touch panel, a keyboard, and a mouse of the medical device. The alarm prompting category refers to a category related to an alarm prompting operation. The alarm prompting data is used for prompting that an alarm is needed when the abnormality occurs. The physiological characteristic category refers to a classification category related to physiological characteristics of a patient. The patient physiological data refers to data related to physiological characteristics of the patient. System configuration data refers to classification categories associated with system configuration. System configuration data refers to data relating to the configuration of the system including, but not limited to, sound, backlight, and other configuration data.

In this example, the classification category to which the external device belongs may also be determined according to whether the external device interacts with the external device, for example, the device operation data corresponding to the device operation category may be determined as external interaction data, and the alarm prompt data corresponding to the alarm prompt category, the patient physiological data corresponding to the physiological characteristic category, and the system configuration data corresponding to the system configuration category may be determined as internal interaction data.

The second classification category refers to a second classification category preset by the system, and the second classification category is a sub-classification category under the first classification category.

As an example, in step S302, after obtaining the first classification recovery data corresponding to several first classification categories, i.e., the device operation data, the alarm prompt data, the patient physiological data, and the system configuration data, the recording system of the medical device may perform a secondary classification on the first classification recovery data corresponding to each first classification category according to at least two second classification categories corresponding to each first classification category, so as to obtain the second classification recovery data corresponding to each second classification category. In this example, the second classification recovery data obtained by subjecting the data to be recovered to the first classification and the second classification is the first recovery data corresponding to the target classification, that is, the data that needs to be finally recovered.

For example, the first classification recovery data corresponding to the device operation data may be further divided into two second classification categories, namely, keyboard operation data and touch screen/mouse operation data. The keyboard operation data is system operation data formed in the process of operating the keyboard by a user. The touch screen/mouse operation data is system operation data formed in the process of operating the touch screen or the mouse by a user. Since the input operation of the touch screen and the input operation of the mouse are similar, the operation data formed by the operation processes of the touch screen and the mouse are collectively referred to as "touch screen/mouse operation data".

For example, the first classification recovery data corresponding to the alarm prompt data may be further divided into second classification recovery data corresponding to three second classification categories, namely, technical alarm data, physiological alarm data and prompt information data. The technical alarm data refers to data formed by abnormality of the medical equipment in the operation process. The physiological alarm data refers to data formed by detecting the abnormality of physiological characteristics of a patient. The prompt information data refers to data of what contents need to be prompted when the medical equipment or the physiological characteristics of the patient are abnormal.

For example, the first classification recovery data corresponding to the physiological data of the patient can be further divided into second classification recovery data corresponding to two second classification categories of the waveform physiological data and the parameter physiological data. The waveform physiological data refers to data corresponding to physiological characteristics needing to be displayed in a waveform form, such as a heart rate graph. The parameter physiological data refers to data corresponding to physiological characteristics needing discrete parameter display, such as blood pressure values.

For example, the first classification recovery data corresponding to the system configuration data may be further divided into second classification recovery data corresponding to two second classification categories, namely, the power supply configuration data and the external configuration data. The power supply configuration data refers to configuration data related to power supply of the medical device. The external configuration data refers to configuration data related to the external device, including but not limited to sound configuration data, backlight adjustment data, and the like.

In the embodiment, the data to be recovered of the medical equipment is subjected to primary classification, and first classification recovery data corresponding to several first classification categories of equipment operation data, alarm prompt data, patient physiological data and system configuration data is obtained; and then, performing secondary classification on the first classification recovery data corresponding to each first classification category respectively to obtain second classification recovery data corresponding to each second classification category, and determining the second classification recovery data as first recovery data corresponding to a target classification category. Understandably, the primary classification and the secondary classification are carried out on the data to be recovered, so that the classification of the acquired first recovered data can be ensured to be refined, the subsequent recovery display operation can be refined, and the effectiveness and the accuracy of the subsequent data recovery processing can be further ensured.

In an embodiment, the second recovery data includes device operation data corresponding to a device operation category, alarm prompt data corresponding to an alarm prompt category, patient physiological data corresponding to a physiological characteristic category, and system configuration data corresponding to a system configuration category;

as shown in fig. 4, in step S204, performing recovery processing on the second recovery data corresponding to each target classification category according to the data recovery policy corresponding to each target classification category includes:

s401: executing an operation recurrence strategy corresponding to the equipment operation type, and controlling an equipment operation area to reproduce equipment operation data;

s402: executing an alarm prompt strategy corresponding to the alarm prompt category, controlling an alarm prompt area to display alarm prompt data, and controlling alarm prompt equipment to execute alarm prompt operation;

s403: executing a data display strategy corresponding to the physiological characteristic category, and controlling a physiological data area to display the physiological data of the patient;

s404: and executing a system configuration strategy corresponding to the system configuration data, and finishing system configuration operation according to the system configuration data.

The device operation category refers to a classification category related to device operation. The device operation data is data generated when a user operates a device such as a touch panel, a keyboard, and a mouse of the medical device. The alarm prompting category refers to a category related to an alarm prompting operation. The alarm prompting data is used for prompting the abnormal data needing to be alarmed. The physiological characteristic category refers to a classification category related to physiological characteristics of a patient. Patient physiological data refers to data relating to physiological characteristics of a patient. System configuration data refers to classification categories associated with system configuration. System configuration data refers to data related to the operation of the system including, but not limited to, sound, backlight, and other configuration data.

The operation recurrence policy is a policy for controlling the medical device to reproduce a user operation before the current time.

As an example, in step S401, after receiving the device operation data corresponding to the device operation category sent by the recording system, for example, after obtaining the keyboard operation data and the touch screen/mouse operation data corresponding to the device operation category, the recovery system of the medical device may execute an operation recurrence policy corresponding to the device operation category, send these device operation data to the system bottom layer of the medical device, and control the device operation area to recur the device operation data corresponding to the device operation category, so as to control the medical device to recur the operation of the keyboard, the touch screen/mouse by the user before the current time. The device operation area herein refers to an area in the display interface where data input can be controlled by an external device such as a keyboard, a touch panel, or a mouse, for example, where a cursor of the mouse is located.

The alarm prompt strategy is a strategy for controlling the medical equipment to recover the alarm prompt operation before the current moment.

As an example, in step S402, after receiving the alarm prompting data corresponding to the alarm prompting category sent by the recording system, for example, after obtaining the technical alarm data, the physiological alarm data, and the prompting information data corresponding to the alarm prompting category, the recovery system of the medical device may execute an alarm prompting policy corresponding to the alarm prompting category, may display the alarm prompting information in an alarm prompting area in a display interface of the medical device, and control the alarm prompting device (including but not limited to a speaker and an alarm lamp) in the medical device to execute an alarm prompting operation based on the alarm prompting data, so as to achieve the purpose of recovering the alarm prompting data in the medical device. The alarm prompt area is an area for displaying alarm prompt information in the display interface.

The data display strategy refers to a strategy for controlling the medical equipment to restore the physiological data of the patient before the current moment.

As an example, in step S403, after receiving the physiological data (such as waveform physiological data and parameter physiological data) corresponding to the physiological characteristic category sent by the recording system, the recovery system of the medical device may execute a data display policy corresponding to the physiological characteristic category to control the physiological data area in the display interface of the medical device to display the physiological data of the patient. For example, in the process of executing the data display strategy corresponding to the physiological characteristic category, the waveform display area in the display interface can be controlled to perform display wave drawing based on the waveform physiological data, and the parameter display area in the display interface can be controlled to perform parameter refreshing based on the parameter physiological data, so that the two physiological data areas, namely the waveform display area and the parameter display area, can restore corresponding physiological data of the patient. The physiological data area refers to an area in the display interface for displaying the physiological data of the patient.

The system configuration policy refers to a policy for controlling the medical device to restore the system configuration before the current time.

As an example, in step S404, after receiving the system configuration data corresponding to the system configuration category sent by the recording system, the recovery system of the medical device may execute the system configuration policy corresponding to the system configuration category, and perform system configuration according to the system configuration data corresponding to the system configuration category. In this example, the recovery system may complete the power supply configuration according to the power supply configuration data; and performs configuration operations related to the external device according to the external configuration data, for example, performing sound playing and adjusting configuration according to the sound configuration data, or performing backlight adjusting data to perform backlight adjusting and the like.

In this embodiment, recovery operations are respectively performed on the device operation data, the alarm prompting data, the patient physiological data and the system configuration data according to an operation recurrence strategy corresponding to the device operation category, an alarm prompting strategy corresponding to the alarm prompting category, a data display strategy corresponding to the physiological characteristic category and a system configuration strategy corresponding to the system configuration category, so that recovery processing is performed by adopting different data recovery strategies according to different target classification categories, and the efficiency and accuracy of data recovery processing are ensured.

In an embodiment, as shown in fig. 5, after step S204, that is, after performing recovery processing on the second recovery data corresponding to each target classification category according to the data recovery policy corresponding to each target classification category, the method further includes:

s501: performing anomaly detection on second recovery data corresponding to each target classification category to obtain current anomaly data;

s502: tracing the current abnormal data, acquiring an abnormal source corresponding to the current abnormal data, and performing abnormal classification prompt based on the abnormal source.

The current abnormal data refers to data which are analyzed and determined to have abnormality at the current moment.

As an example, in step S501, in the process of controlling the second recovery data corresponding to each target classification category to perform the recovery processing, the recovery system performs the anomaly detection on each second recovery data in sequence to evaluate whether the second recovery data is anomalous, so as to obtain the current anomalous data with the anomaly.

The abnormal source refers to a source causing the current abnormal data to be abnormal, and can be understood as a reason causing the current abnormal data to be abnormal.

As an example, in step S502, after determining that there is abnormal current abnormal data, the recovery system needs to perform source tracing on the current abnormal data to determine an abnormal source of the current abnormal data; and then carrying out exception classification prompting on all current exception data according to different exception sources. For example, when the current abnormal data is a system device crash caused by an impact, a blue screen or a black screen appears in the system operation state, and the like, it may be determined that an abnormal source corresponding to the current abnormal data is a source of the device itself. For example, when the current abnormal data is the overdue normal range of the physiological data of the patient, the abnormal source corresponding to the current abnormal data is determined to be the source of the patient. For another example, when the current abnormal data is a user operation error, which causes operation difficulty of the medical device, it may be determined that an abnormal source corresponding to the current abnormal data is a user operation source.

In this embodiment, the recovery system may restore current abnormal data of the medical device in the operation process, perform tracing processing on the current abnormal data, and determine any one of the source of the device itself, the source of the patient itself, or the source of the user operation, so as to perform an abnormality classification prompt based on the abnormal source, thereby achieving the purposes of intelligently monitoring the abnormality and feeding back the abnormality.

In an embodiment, as shown in fig. 6, before step S201, that is, before the data to be recovered is obtained from the system database in response to the received data recovery instruction, the method further includes:

s601: responding to a received starting instruction, and acquiring system operation data in real time;

s602: classifying the system operation data to obtain target operation data corresponding to at least two target classification categories;

s603: and storing the target operation data corresponding to the at least two target classification categories in a system database.

The system operation data refers to data generated by an operation system of the medical equipment in an operation process.

As an example, in step S601, after receiving a power-on instruction triggered by a user, the medical device controls the running system and the recording system to start simultaneously in response to the power-on instruction, and the running system forms system running data during running and sends the formed system running data to the recording system, so that the recording system can obtain the system running data.

As an example, in step S602, after receiving the system operation data, the recording system of the medical device may classify the system operation data according to at least two preset target classification categories, and acquire target operation data corresponding to the at least two target classification categories. In this example, the target operation data corresponding to the target classification category includes, but is not limited to, device operation data corresponding to the device operation category, alarm prompt data corresponding to the alarm prompt category, patient physiological data corresponding to the physiological characteristic category, and system configuration data corresponding to the system configuration category.

As an example, in step S603, after determining the target operation data corresponding to at least two target classification categories, the recording system of the medical device may store the target operation data corresponding to the at least two target classification categories in a system database, and specifically store the target operation data corresponding to each target classification category in a data table corresponding to the target classification category, so as to isolate the target operation data corresponding to different target classification categories from each other, and avoid mutual interference between the data.

In the embodiment, after the starting is performed in response to the received starting instruction, the system operation data is acquired in real time, and the system operation data is classified into the target operation data corresponding to at least two target classification categories and stored in the system database, so that the system operation data formed after the medical equipment is started is recorded and classified and stored, the integrity of the system operation data recorded in the operation process of the medical equipment is guaranteed, and the condition that any link is missed and an information closed loop is formed is avoided.

In an embodiment, as shown in fig. 7, in step S602, performing classification processing on the system operation data to obtain target operation data corresponding to at least two target classification categories, includes:

s701: carrying out processing frequency classification on system operation data to obtain instant operation data and timing operation data;

s702: performing primary classification on the instant operation data and the timing operation data according to at least two first classification categories to obtain first classification operation data corresponding to the first classification categories;

s703, performing secondary classification on the first classification operation data corresponding to the first classification category according to at least two second classification categories corresponding to the first classification category to obtain second classification operation data corresponding to each second classification category;

and the second classification operation data corresponding to the second classification category is target operation data corresponding to the target classification category.

The instant operation data refers to system operation data needing to be processed immediately. The timing operation data refers to system operation data which does not need to be processed immediately.

As an example, in step S701, after receiving the system operation data formed by the operation system, the recording system of the medical device may classify according to whether the processing frequency of the immediate processing is required, so as to determine the system operation data as immediate operation data and timed operation data. For example, when the system operation data is device operation data triggered by a user, for example, data generated when the user operates an external device such as a keyboard, a touch screen, or a mouse, may be determined as the immediate operation data. For another example, the system operation data may be determined as the timing operation data because the data may not be immediately responded due to the need for data analysis or other processing.

As an example, in step S702, after determining the instant operation data and the scheduled operation data, the recording system of the medical device needs to further perform primary classification on the instant operation data and the scheduled operation data, and obtain first classified operation data corresponding to the first classification category. In this example, the recording system performs primary classification on the instant operation data and the timing operation data by using a preset primary classification category, and obtains first classification operation data corresponding to the first classification category. The first classification operation data corresponding to the first classification category comprises equipment operation data corresponding to the equipment operation category, alarm prompt data corresponding to the alarm prompt category, patient physiological data corresponding to the physiological characteristic category and system configuration data corresponding to the system configuration category;

in this example, after the recording system obtains the instant operation data, the recording system may perform primary classification on the instant operation data based on two first classification categories, that is, the device operation category and the alarm prompt category, to obtain the device operation data corresponding to the device operation category and the alarm prompt data corresponding to the alarm prompt category.

In this example, after acquiring the time-lapse data, the recording system may perform a second-level classification on the time-lapse data based on two first classification categories, namely, the physiological characteristic category and the system configuration category, to acquire the patient physiological data corresponding to the physiological characteristic category and the system configuration data corresponding to the system configuration category.

As an example, in step S702, after acquiring the first classified operation data corresponding to several first classification categories, i.e., the device operation data, the alarm prompt data, the patient physiological data, and the system configuration data, the recording system of the medical device may perform a secondary classification on the first classified operation data corresponding to each first classification category according to a second classification category corresponding to each first classification category, and acquire the second classified operation data corresponding to each second classification category. In this example, the second classification operation data obtained by performing the first-stage classification and the second-stage classification on the instant operation data and the timing operation data is target operation data corresponding to the target classification category, that is, operation data to be stored is finally required.

For example, the first classified operation data corresponding to the device operation data may be further divided into second classified operation data corresponding to two second classified categories, namely, keyboard operation data and touch screen/mouse operation data. The keyboard operation data is system operation data formed in the process of operating the keyboard by a user. The touch screen/mouse operation data is system operation data formed in the process that a user operates the touch screen or the mouse. Since the input operation of the touch screen and the input operation of the mouse are similar, the operation data formed by the operation processes of the touch screen and the mouse are collectively referred to as "touch screen/mouse operation data".

For example, the first classified operation data corresponding to the alarm prompt data may be further divided into second classified operation data corresponding to three second classified categories, namely technical alarm data, physiological alarm data and prompt information data. The technical alarm data refers to data formed by abnormality of the medical equipment in the operation process. The physiological alarm data refers to data formed by detecting the abnormality of physiological characteristics of a patient. The prompt information data refers to data of what contents need to be prompted when the medical equipment or the physiological characteristics of the patient are abnormal.

For example, the first classified operation data corresponding to the physiological data of the patient can be further divided into second classified operation data corresponding to two second classified categories of the waveform physiological data and the parameter physiological data. The waveform physiological data refers to data corresponding to physiological characteristics needing to be displayed in a waveform form, such as a heart rate graph. The parameter physiological data refers to data corresponding to physiological characteristics needing discrete parameter display, such as blood pressure values.

For example, the first classified operation data corresponding to the system configuration data may be further divided into second classified operation data corresponding to two second classified categories, that is, power supply configuration data and external configuration data. The power supply configuration data refers to configuration data related to power supply of the medical device. The external configuration data refers to configuration data related to the external device, including but not limited to sound configuration data, backlight adjustment data, and the like.

In the embodiment, the processing frequency classification is firstly carried out on the system operation data, and the instant operation data and the timing operation data are determined; performing primary classification on the instant operation data and the timing operation data to obtain first classified operation data corresponding to several first classified categories of equipment operation data, alarm prompt data, patient physiological data and system configuration data; and then, performing secondary classification on the first classified operation data corresponding to each first classification type respectively to obtain second classified operation data corresponding to each second classification type, wherein the second classified operation data are target operation data. Understandably, the processing frequency classification, the primary classification and the secondary classification are carried out on the system operation data, and the refinement of the classification process of the target operation data finally stored in the system database can be guaranteed.

In an embodiment, as shown in fig. 8, in step S603, storing target operation data corresponding to at least two target classification categories in a system database includes:

s801: storing target operation data corresponding to at least two target classification categories into a system cache, and monitoring the current cache state of the target operation data in the system cache;

s802: and if the current cache state meets the preset uploading condition, storing the target operation data corresponding to at least two target classification categories into a system database.

The current cache state refers to a state of the target running data in the system cache at the current time. The preset uploading condition refers to a preset condition for evaluating data to be uploaded.

As an example, in step S801, after the recording system obtains the target operation data corresponding to at least two target classification categories, the recording system needs to immediately store the target operation data corresponding to the at least two target classification categories in the system cache, so as to avoid data loss. In this example, after the recording system stores the target operation data corresponding to the at least two target classification categories in the system cache, the current cache state of the target operation data in the system cache needs to be monitored, so as to determine whether the target operation data needs to be uploaded to the system database based on the current cache state.

As an example, in step S802, when the recording system monitors that the current cache state of the target operation data in the system cache meets the preset uploading condition, the target operation data corresponding to at least two target classification categories may be stored in the system database, and specifically, the target operation data corresponding to at least two target classification categories are respectively stored in the data tables corresponding to the target classification categories in the system database.

For example, the current cache state may be a current cache duration, and if the current cache duration is greater than a preset cache duration, it is determined that a preset uploading condition is satisfied, and the target operation data corresponding to at least two target classification categories is stored in the system database. The current cache duration refers to a duration between the current time and the cache time when the target operation data is stored in the system cache. The preset cache duration refers to a preset duration for evaluating whether the current cache duration reaches a longer standard.

For example, the current cache state may be a current remaining space, and if the current remaining space is smaller than a preset remaining space, it is determined that a preset uploading condition is satisfied, and target operation data corresponding to at least two target classification categories are stored in the system database. The current remaining space is the remaining space of the system cache at the current moment. The preset remaining space refers to a preset space for evaluating whether the current remaining space meets a smaller standard.

In this embodiment, the target operation data corresponding to the target classification category is stored in the system cache first, and then when it is monitored that the current cache state of the target operation data meets the preset uploading condition, the target operation data corresponding to at least two target classification categories is uploaded to the system database, so that the target operation data can be stored immediately, the target operation data in the system cache can be ensured to be uploaded to the system database in time, the lightweight of the recording process of the system operation data is ensured, and excessive system resources are not required to be occupied.

In an embodiment, as shown in fig. 9, after step S603, that is, after storing the target operation data corresponding to at least two target classification categories in the system database, the method further includes:

s901: responding to the received shutdown instruction, verifying target operation data corresponding to at least two target classification categories stored in a system database, and acquiring a verification processing result;

s902: and if the verification processing result is that the verification is passed, executing shutdown operation.

As an example, in step S901, after the recording system of the medical device receives a shutdown instruction triggered by a user, the recording system may perform verification processing on target operation data corresponding to at least two target classification categories stored in the system database during the current startup period, so as to obtain a verification processing result. For example, it may be verified whether all the target operation data corresponding to at least two target classification categories acquired in real time during the current startup period are uploaded to the system database, so as to ensure that all the system operation data formed during the current startup period are classified and stored in the system database, so as to perform data recovery processing in the subsequent period.

As an example, in step S902, when the verification processing result is that the data is verified to be passed, the recording system of the medical device determines that all the system operation data formed during the current power-on period are classified and stored in the system database, and at this time, a power-off operation may be performed, so as to ensure that the target operation data corresponding to the target classification category are all stored in the system database before the power-off operation, so as to ensure feasibility of subsequent data recovery processing.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.

In one embodiment, a medical device data processing apparatus is provided, where the medical device data processing apparatus corresponds to the medical device data processing method in the foregoing embodiment one to one, and the medical device data processing apparatus includes an operation system, a recording system, and a recovery system, and detailed descriptions of each functional system are as follows:

the recording system is used for classifying the data to be recovered according to at least two target classification categories to acquire first recovery data corresponding to the at least two target classification categories, and each first recovery data carries a timestamp;

In one embodiment, the target classification category includes at least two first classification categories and at least two second classification categories corresponding to each of the first classification categories;

the recording system is used for carrying out primary classification on the data to be recovered according to at least two first classification categories to obtain first classification recovery data corresponding to the first classification categories;

the recording system is used for carrying out secondary classification on the first classification recovery data corresponding to the first classification category according to at least two second classification categories corresponding to each first classification category to obtain second classification recovery data corresponding to each second classification category;

and the second classification recovery data corresponding to the second classification category is the first recovery data corresponding to the target classification category.

the recovery system is used for executing an operation reproduction strategy corresponding to the equipment operation type and controlling the equipment operation area to reproduce the equipment operation data;

the recovery system is used for executing an alarm prompt strategy corresponding to the alarm prompt category, controlling an alarm prompt area to display alarm prompt data and controlling alarm prompt equipment to execute alarm prompt operation;

the recovery system is used for executing a data display strategy corresponding to the physiological characteristic category and controlling a physiological data area to display the physiological data of the patient;

and the recovery system is used for executing the system configuration strategy corresponding to the system configuration data and finishing the system configuration operation according to the system configuration data.

In an embodiment, the recovery system is configured to perform anomaly detection on the second recovery data corresponding to each target classification category, and obtain current anomaly data;

and the recovery system is used for tracing the current abnormal data, acquiring an abnormal source corresponding to the current abnormal data and prompting the abnormality classification based on the abnormal source.

In one embodiment, the recording system is used for responding to a received starting instruction and acquiring system operation data in real time;

the recording system is used for classifying the system operation data to obtain target operation data corresponding to at least two target classification categories;

and the recording system is used for storing the target operation data corresponding to at least two target classification categories in the system database.

In one embodiment, the recording system is used for processing frequency classification of system operation data to obtain instant operation data and timing operation data;

the recording system is used for carrying out primary classification on the instant operation data and the timing operation data according to at least two first classification categories to obtain first classification operation data corresponding to the first classification categories;

the recording system is used for carrying out secondary classification on the first classification operation data corresponding to the first classification category according to at least two second classification categories corresponding to the first classification category to obtain second classification operation data corresponding to each second classification category;

In an embodiment, the recording system is configured to store target operation data corresponding to at least two target classification categories into a system cache, and monitor a current cache state of the target operation data in the system cache;

and the recording system is used for storing the target operation data corresponding to at least two target classification categories into the system database if the current cache state meets the preset uploading condition.

In an embodiment, the recording system is configured to perform verification processing on target operation data corresponding to at least two target classification categories stored in a system database in response to a received shutdown instruction, and obtain a verification processing result;

and the recording system is used for executing shutdown operation when the verification processing result is that the verification is passed.

For specific definition of the data processing device of the medical device, the above definition of the data processing method of the medical device can be referred to, and the detailed description is omitted here. The modules in the medical equipment data processing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the medical equipment, and can also be stored in a memory in the medical equipment in a software form, so that the processor can call and execute operations corresponding to the modules.

In an embodiment, a medical device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for processing data of the medical device in the foregoing embodiments is implemented, for example, S201 to S204 shown in fig. 2, or as shown in fig. 3 to fig. 8, which is not described herein again to avoid repetition. Alternatively, the processor implements the functions of the modules/units in the embodiment of the medical device data processing apparatus when executing the computer program, for example, the functions of the operating system, the recording system and the recovery system shown in fig. 1, and in order to avoid repetition, the description thereof is omitted here.

In an embodiment, a computer-readable storage medium is provided, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for processing data of a medical device in the foregoing embodiments is implemented, for example, S201 to S204 shown in fig. 2, or shown in fig. 3 to fig. 8, which is not described herein again to avoid repetition. Alternatively, the computer program, when executed by the processor, implements the functions of the modules/units in the embodiment of the medical device data processing apparatus, such as the functions of the operating system, the recording system, and the recovery system shown in fig. 1, and is not described herein again to avoid repetition.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, the computer program may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.

It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions.

The above-mentioned embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. A medical device data processing method, comprising:

according to the sequence of the timestamps, sorting the first recovery data corresponding to each target classification category, and determining the second recovery data corresponding to each target classification category;

and according to the data recovery strategy corresponding to each target classification type, performing recovery processing on second recovery data corresponding to each target classification type.

2. The medical device data processing method according to claim 1, wherein the target classification categories include at least two first classification categories and at least two second classification categories corresponding to each of the first classification categories;

the classifying the data to be restored according to at least two target classification categories to obtain first restoration data corresponding to the at least two target classification categories includes:

performing primary classification on the data to be recovered according to at least two first classification categories to obtain first classification recovery data corresponding to the first classification categories;

according to at least two second classification categories corresponding to each first classification category, performing secondary classification on the first classification recovery data corresponding to the first classification category to obtain second classification recovery data corresponding to each second classification category;

3. The medical device data processing method of claim 1, wherein the second recovery data includes device operation data corresponding to a device operation category, alarm prompt data corresponding to an alarm prompt category, patient physiological data corresponding to a physiological characteristic category, and system configuration data corresponding to a system configuration category;

the performing recovery processing on the second recovery data corresponding to each target classification category according to the data recovery strategy corresponding to each target classification category includes:

executing an operation recurrence strategy corresponding to the equipment operation category, and controlling an equipment operation area to reproduce the equipment operation data;

executing an alarm prompt strategy corresponding to the alarm prompt category, controlling an alarm prompt area to display the alarm prompt data, and controlling alarm prompt equipment to execute alarm prompt operation;

executing a data display strategy corresponding to the physiological characteristic category, and controlling a physiological data area to display the physiological data of the patient;

and executing a system configuration strategy corresponding to the system configuration data, and completing system configuration operation according to the system configuration data.

4. The medical device data processing method according to claim 1, wherein after performing recovery processing on the second recovery data corresponding to each of the target classification categories according to the data recovery policy corresponding to each of the target classification categories, the method further comprises:

performing anomaly detection on second recovery data corresponding to each target classification category to obtain current anomaly data;

tracing the current abnormal data to obtain an abnormal source corresponding to the current abnormal data, and performing abnormal classification prompt based on the abnormal source.

5. The medical device data processing method of claim 1, wherein prior to said retrieving data to be recovered from a system database in response to the received data recovery instruction, the method further comprises:

responding to a received starting instruction, and acquiring system operation data in real time;

classifying the system operation data to obtain target operation data corresponding to at least two target classification categories;

and storing target operation data corresponding to at least two target classification categories in a system database.

6. The medical device data processing method of claim 5, wherein the classifying the system operating data to obtain target operating data corresponding to at least two target classification categories comprises:

processing frequency classification is carried out on the system operation data, and instant operation data and timing operation data are obtained;

performing primary classification on the instant operation data and the timing operation data according to at least two first classification categories to obtain first classification operation data corresponding to the first classification categories;

performing secondary classification on the first classified operation data corresponding to the first classification category according to at least two second classification categories corresponding to the first classification category to obtain second classified operation data corresponding to each second classification category;

7. The medical device data processing method of claim 5, wherein storing target operational data corresponding to at least two of the target classification categories in a system database comprises:

storing target operation data corresponding to at least two target classification categories into a system cache, and monitoring the current cache state of the target operation data in the system cache;

and if the current cache state meets a preset uploading condition, storing target operation data corresponding to at least two target classification categories into a system database.

8. The medical device data processing method according to claim 5, wherein after step S603, namely after storing the target operation data corresponding to at least two target classification categories in the system database, the method further comprises:

responding to a received shutdown instruction, verifying target operation data corresponding to at least two target classification categories stored in a system database, and acquiring a verification processing result;

and if the verification processing result is that the verification is passed, executing shutdown operation.

9. A medical device data processing apparatus, comprising:

10. The medical device data processing apparatus of claim 9, wherein the target classification categories include at least two first classification categories and at least two second classification categories corresponding to each of the first classification categories;

11. The medical device data processing apparatus of claim 9, wherein the second recovery data comprises device operation data corresponding to a device operation category, alarm cue data corresponding to an alarm cue category, patient physiological data corresponding to a physiological characteristic category, and system configuration data corresponding to a system configuration category;

the recovery system is used for executing the operation recurrence strategy corresponding to the equipment operation category and controlling the equipment operation area to recur the equipment operation data;

the recovery system is used for executing an alarm prompt strategy corresponding to the alarm prompt category, controlling an alarm prompt area to display the alarm prompt data and controlling alarm prompt equipment to execute alarm prompt operation;

and the recovery system is used for executing the system configuration strategy corresponding to the system configuration data and finishing system configuration operation according to the system configuration data.

12. The medical device data processing apparatus according to claim 9,

the recovery system is used for carrying out anomaly detection on second recovery data corresponding to each target classification category to obtain current anomaly data;

13. The medical device data processing apparatus according to claim 9,

the recording system is used for responding to the received starting instruction and acquiring system operation data in real time;

and the recording system is used for storing the target operation data corresponding to at least two target classification categories in a system database.

14. The medical device data processing apparatus of claim 13,

the recording system is used for carrying out processing frequency classification on the system operation data to obtain instant operation data and timing operation data;

15. The medical device data processing apparatus of claim 13,

the recording system is used for storing the target operation data corresponding to at least two target classification categories into a system cache and monitoring the current cache state of the target operation data in the system cache;

and the recording system is used for storing the target operation data corresponding to at least two target classification categories into a system database if the current cache state meets a preset uploading condition.

16. The medical device data processing apparatus of claim 13,

the recording system is used for responding to the received shutdown instruction, verifying the target operation data corresponding to at least two target classification categories stored in a system database and acquiring a verification processing result;

17. A medical device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the medical device data processing method according to any one of claims 1 to 8 when executing the computer program.

18. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a medical device data processing method according to any one of claims 1 to 8.