WO2022143836A1 - 射频消融数据处理方法、装置、服务器及计算机可读存储介质 - Google Patents

射频消融数据处理方法、装置、服务器及计算机可读存储介质 Download PDF

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WO2022143836A1
WO2022143836A1 PCT/CN2021/142747 CN2021142747W WO2022143836A1 WO 2022143836 A1 WO2022143836 A1 WO 2022143836A1 CN 2021142747 W CN2021142747 W CN 2021142747W WO 2022143836 A1 WO2022143836 A1 WO 2022143836A1
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ablation
data
parameter
radio frequency
task
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French (fr)
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崔长杰
徐宏
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Hangzhou Broncus Medical Co Ltd
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Hangzhou Broncus Medical Co Ltd
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Priority to JP2023540506A priority Critical patent/JP7654798B2/ja
Priority to EP21914568.7A priority patent/EP4273875A4/en
Priority to KR1020237024069A priority patent/KR20230121840A/ko
Publication of WO2022143836A1 publication Critical patent/WO2022143836A1/zh
Priority to US18/346,068 priority patent/US20230352188A1/en
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Definitions

  • Embodiments of the present invention relate to the technical field of data processing, and in particular, to a radio frequency ablation data processing method, apparatus, server, and computer-readable storage medium.
  • Radio Frequency Ablation (RFA) technology is a relatively common minimally invasive tumor ablation technology.
  • the principle of radiofrequency ablation is to apply alternating high-frequency current with a frequency of less than 30MHz (megahertz) to cause high-speed oscillation of ions in tumor tissue, friction with each other, and convert radiofrequency energy into heat energy, causing coagulation necrosis of tumor cells.
  • each device in the radiofrequency ablation system will generate a large amount of radiofrequency ablation data.
  • these radiofrequency ablation data are only recorded in logs. How to use these radiofrequency ablation data to provide data reference and technical support for future ablation tasks is a major problem to be solved urgently in the industry.
  • Embodiments of the present invention provide a radio frequency ablation data processing method, device, server, and non-transitory computer-readable storage medium, which can implement big data-based radio frequency ablation data analysis, and provide ablation parameter configuration references for different types of ablation objects , thereby improving the utilization of radiofrequency ablation data.
  • Radio frequency ablation data processing method which is applied to computer equipment, including:
  • Radio frequency ablation data of each ablation task that has been performed within a preset time period includes: parameter data configured by each device in the radio frequency ablation system when each ablation task is performed, and each ablation task is associated with The feature data of the ablation object;
  • the radio frequency ablation data is analyzed to obtain and output ablation parameter configuration schemes matched to different types of ablation objects.
  • Radio frequency ablation data processing device including:
  • an acquisition module configured to acquire radio frequency ablation data of each ablation task that has been performed within a preset duration, where the radio frequency ablation data includes: parameter data configured by each device in the radio frequency ablation system when each ablation task is performed, and, each Feature data of the ablation object associated with the ablation task;
  • an analysis module configured to analyze the radio frequency ablation data to obtain ablation parameter configuration schemes that are respectively matched for different types of ablation objects;
  • An output module configured to output the ablation parameter configuration scheme.
  • the memory stores executable program codes
  • the processor coupled with the memory invokes the executable program code stored in the memory to execute the radio frequency ablation data processing method provided by the foregoing embodiment.
  • An aspect of the embodiments of the present invention further provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the radio frequency ablation data processing method provided by the above embodiments.
  • each embodiment of the present invention by acquiring radio frequency ablation data of each ablation task that has been performed within a preset duration, and analyzing the acquired radio frequency ablation data, ablation parameter configuration schemes that match different types of ablation objects respectively are obtained, It realizes the automatic analysis of radiofrequency ablation data based on big data, and the recommendation of the ablation parameter configuration scheme based on the automatic analysis, thereby improving the utilization rate of radiofrequency ablation data.
  • FIG. 1 is an application environment diagram of a radio frequency ablation data processing method provided by an embodiment of the present invention
  • FIG. 2 is an implementation flowchart of a method for processing radiofrequency ablation data provided by an embodiment of the present invention
  • FIG. 3 is an implementation flowchart of a method for processing radiofrequency ablation data provided by another embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a radio frequency ablation data processing apparatus according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a radio frequency ablation data processing apparatus provided by another embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
  • the radio frequency ablation data processing method can be implemented by the server 20 in FIG. 1 .
  • the server 20 may be a single cloud server, or may be a distributed server cluster composed of multiple servers in the cloud.
  • the distributed server cluster includes: at least one access server group for data access, at least one distribution server group for data distribution, at least one cloud processing server group for data processing, and at least one cloud processing server group for data processing.
  • a database server group for data (such as the database in various embodiments of the present invention) storage.
  • the above server groups can be configured in one place or distributed in different places.
  • the distribution server group establishes a data connection with the cloud processing server group through the second gateway, so as to perform data interaction, and realize the distribution of radio frequency ablation data and the regulation of data processing in the radio frequency ablation data processing method provided by each embodiment of the present invention .
  • the distribution server group determines a target server for processing data sent by the access server group according to the real-time processing volume of each cloud processing server.
  • the cloud processing server group establishes a data connection with the database server group through a third gateway, so as to realize the analysis and processing of the radio frequency ablation data in the radio frequency ablation data processing method provided by the embodiments of the present invention, and realize the analysis and processing of the radio frequency ablation data based on the Data storage, query and modification of the database in the embodiment.
  • the server 20 establishes a data connection with at least one device in one or more radio frequency ablation systems 10 and other associated devices 30 through a wireless network or a wired connection, and obtains the radio frequency of the ablation task performed by each radio frequency ablation system 10 through the data connection.
  • Ablation data, and the radio frequency ablation data is processed by the radio frequency ablation data processing method in the following embodiment.
  • FIG. 1 only shows three radio frequency ablation systems 10, which may not be limited in practical applications. Multiple radiofrequency ablation systems 10 may be respectively configured in different locations, such as: different departments of multiple units in different regions.
  • the part of the devices can be used as an interface to forward the radio frequency ablation data of other devices in the radio frequency ablation system 10 to the server 20 .
  • Other associated devices 30 may be, for example, medical imaging devices, intelligent physical examination devices, personal computer terminals of doctors and users, servers of public medical data platforms, and other radio frequency ablation data collection and storage devices.
  • the radio frequency ablation system 10 includes: a radio frequency ablation control device 11 , a syringe pump 12 , a neutral electrode 13 and a radio frequency ablation catheter 14 .
  • the radio frequency ablation catheter 14 for generating and outputting radio frequency energy and the extension tube 121 of the syringe pump 12 are inserted into the body of the ablation subject (eg, an emphysema patient) and reach the ablation site.
  • the neutral electrode 13 is then brought into contact with the skin surface of the ablation subject.
  • the radio frequency current flows through the radio frequency ablation catheter 14, the tissue of the ablation subject, and the neutral electrode 13, thereby forming a circuit.
  • the radio frequency ablation control device 11 controls the radio frequency ablation catheter 14 to output radio frequency energy to the ablation site by means of monopolar discharge, so as to perform an ablation operation on the ablation site.
  • the syringe pump 12 performs the perfusion operation on the ablation object through the extension tube 121, and perfuses the ablation site with physiological saline, so as to adjust the impedance and temperature of the ablation site.
  • FIG. 2 an implementation flowchart of a method for processing radiofrequency ablation data provided by an embodiment of the present invention.
  • the method can be implemented by a computer device, such as the server 20 in FIG. 1 .
  • the method specifically includes:
  • Step S201 acquiring radio frequency ablation data of each ablation task that has been performed within a preset duration
  • the server periodically acquires radio frequency ablation data of each ablation task that has been performed within a preset time period.
  • the radio frequency ablation data includes: parameter data configured by each device in at least one radio frequency ablation system when each ablation task is performed, and feature data of the ablation object associated with each ablation task.
  • the preset duration can be, for example, 1 month, half a year, 1 year, or longer, or it can also be the time interval from when each radiofrequency ablation system is put into use to when the server obtains radiofrequency ablation data, which can be customized according to the user. Action settings.
  • the above-mentioned parameter data may, for example, but not be limited to include: the radio frequency power, ablation time, alarm value, the liquid perfusion volume of the syringe pump, perfusion time, alarm value, etc., which are called when the radio frequency ablation control device controls the radio frequency ablation catheter to perform the ablation operation. .
  • the radio frequency ablation control device and the syringe pump perform the ablation task according to their corresponding parameter data.
  • the above-mentioned characteristic data of the ablation object may include, for example, but not limited to, the name, age, gender, disease, and the like of the ablation object.
  • the server may acquire the parameter data by periodically sending a data acquisition request to the device in the radiofrequency ablation system.
  • the device in the radio frequency ablation system may also report the parameter data configured when each ablation task is performed to the server in real time or periodically.
  • the device in the radio frequency ablation system can also report the parameter data configured when performing each ablation task to a data acquisition server specially used for radio frequency ablation data acquisition in real time or periodically, and the server periodically obtains the parameter data from the data acquisition server.
  • the characteristic data of the ablation objects associated with each ablation task may be stored in the radio frequency ablation system or in the data collection server.
  • the above server can query the data collection server to obtain the characteristic data of the ablation object associated with the ablation task according to the identification information of the ablation task.
  • the data collection server can obtain the characteristic data of the ablation objects associated with each ablation task according to the user's input operation, and can also obtain the description files (such as electronic prescriptions) of each ablation task from other terminals (such as computer terminals in each medical office). , and then extract the feature data of the ablation objects associated with each ablation task from the description file.
  • the description files such as electronic prescriptions
  • Step S202 analyzing the radio frequency ablation data, obtaining and outputting an ablation parameter configuration scheme matched with each type of ablation object.
  • the ablation objects may be classified according to the characteristic data of each ablation object. Then, each radio frequency ablation data is classified according to the type of the ablation object associated with its corresponding ablation task, so as to obtain and output the matching ablation parameter configuration schemes for different types of ablation objects.
  • all parameter data called by all devices in the radiofrequency ablation system to perform the same ablation task can be used as an ablation parameter configuration scheme, or, all parameters called by a device in the radiofrequency ablation system to perform an ablation task can be used. data as an ablation parameter configuration scheme.
  • the present invention by acquiring radio frequency ablation data of each ablation task that has been performed within a preset time period, and analyzing the acquired radio frequency ablation data, ablation parameter configuration schemes that are matched for different types of ablation objects are obtained, thereby realizing the
  • the automatic analysis of radiofrequency ablation data based on big data, and the recommendation of the ablation parameter configuration scheme based on the automatic analysis improve the utilization rate of radiofrequency ablation data, and at the same time, because the analysis results are generated based on massive data, it has a high reference. .
  • FIG. 3 an implementation flowchart of a radio frequency ablation data processing method provided by an embodiment of the present invention.
  • the method can be implemented by a computer device, such as the server 20 in FIG. 1 .
  • the method specifically includes:
  • Step S301 acquiring radio frequency ablation data of each ablation task that has been performed within a preset time period
  • the server periodically acquires radio frequency ablation data of each ablation task that has been performed within a preset time period.
  • the radio frequency ablation data includes: parameter data configured by each device in the radio frequency ablation system when each ablation task is performed, and feature data of the ablation object associated with each ablation task.
  • the preset duration can be, for example, 1 month, half a year, 1 year, or longer, or it can also be the time interval from when the radio frequency ablation system is put into use to when the server obtains radio frequency ablation data, which can be customized according to the user. Action settings.
  • the radio frequency ablation data includes: parameter data configured by each device in the radio frequency ablation system when performing each ablation task, characteristic data of the ablation object associated with each ablation task, description data of each ablation task, and characteristic data of the ablation site of each ablation object , and the change data of each ablation site after the execution of the associated ablation task.
  • the above-mentioned parameter data may include, for example, but not limited to: radio frequency power, ablation time, alarm value of the radio frequency ablation control device, liquid perfusion volume, perfusion time, flow rate, alarm value and the like of the syringe pump.
  • the radio frequency ablation control device and the syringe pump perform the ablation task according to their corresponding parameter data.
  • the characteristic data of the ablation subject may include, but is not limited to, at least one of the gender of the ablation subject, the condition before the ablation task is performed, and the survival time after the ablation task is performed, and age.
  • the condition includes: other conditions than the condition corresponding to the ablation task, such as high blood pressure, high fever, asthma, and the like.
  • the description data of the ablation task includes: the execution time of the ablation task, and the description data of the ablation stage corresponding to the ablation task, such as the first ablation task, or the number of ablation stages.
  • the characteristic change data of the ablation site includes: at least one of the position, size, shape, and area of the ablation site, and change data before and after each associated ablation task is performed.
  • the server may acquire the parameter data by periodically sending a data acquisition request to the device in the radiofrequency ablation system.
  • the device in the radio frequency ablation system may also report the parameter data configured when each ablation task is performed to the server in real time or periodically.
  • the device in the radio frequency ablation system may also report the parameter data configured during each ablation task to a data acquisition server dedicated to radio frequency ablation data acquisition in real time or periodically, and the server periodically acquires the parameter data from the data acquisition server.
  • radio frequency ablation data other data except the parameter data may be stored in the radio frequency ablation system, or may be stored in a special data collection server.
  • the server can query the data collection server to obtain other radio frequency ablation data associated with the ablation task according to the identification information of the ablation task or the identification information of the ablation object.
  • the identification information of the ablation task is used to uniquely identify the identity of the ablation task, such as the network-wide unique number of the ablation task.
  • the identification information of the ablation object is used to uniquely identify the identity of the ablation object, such as the name of the ablation object.
  • the identification information can be allocated by the radio frequency ablation system or other related devices when performing corresponding tasks, and reported to the server; or, can also be allocated by the server and delivered to the radio frequency ablation system or other related devices.
  • the data collection server can obtain the radio frequency ablation data according to the user's input operation, or can also obtain the radio frequency ablation data from other terminals (such as computer terminals in each medical room), such as: obtain the description files of each ablation task from other terminals (such as , electronic prescription), and then extract the feature data of the ablation objects associated with each ablation task from the description file.
  • other terminals such as computer terminals in each medical room
  • obtain the description files of each ablation task from other terminals such as , electronic prescription
  • the method further includes:
  • the identification information of the ablation object, the angiography time and the angiography data of the ablation object sent by the medical imaging equipment perform image recognition on the angiography data, and generate the characteristic data of the ablation part of the ablation object according to the recognition result; the identification of the ablation object
  • the information and the angiography time are associated with the characteristic data of the ablation site, and the associated relationship is stored in the ablation site information database.
  • the medical imaging equipment may include, but is not limited to, an X-ray inspection apparatus, a CT (Computed Tomography, computer tomography) machine, and the like.
  • the medical imaging device may report the imaging data obtained when performing the imaging task to the server after each imaging task, or periodically.
  • the feature data of the ablation site may include, but is not limited to, at least one of the location, size, shape, and area of the ablation site.
  • the ablation site information database may be configured in a data collection server in the cloud.
  • the characteristic change data of the ablation part of each ablation object can also be obtained by the following methods: query the ablation part information database to obtain the characteristic data of the ablation part of each ablation object and the corresponding contrast time; Feature change data at the ablation site.
  • the server can obtain the characteristic data of the ablation parts and their angiography times of all ablation objects at one time by querying the ablation site information database, or, according to the identification information of one or more ablation objects, query and obtain the corresponding one or more ablation objects.
  • the characteristic data of each ablation object and its angiography time can be obtained by querying the ablation site information database, or, according to the identification information of one or more ablation objects, query and obtain the corresponding one or more ablation objects.
  • Step S302 Classify the ablation object according to the feature data of the ablation object in the radio frequency ablation data, the description data of the ablation task, the feature change data of the ablation site, and the preset classification conditions;
  • a preset classification condition that is, a classification standard.
  • the classification criteria may include, but are not limited to, for example: age group, gender, conditions before performing the ablation task, ablation stage, characteristic range of the ablation site, survival time range, etc. .
  • one or more classification conditions may be preset according to user-defined operations.
  • the ablation objects are classified to distinguish different types of ablation objects, and then the radiofrequency ablation data is analyzed according to the classification results, which can make the analyzed ablation parameter configuration scheme more targeted and efficient. Reference.
  • each type (such as type 1, type 2) can correspond to one or more classification conditions (such as age group, gender, etc.), and an ablation task
  • classification conditions such as age group, gender, etc.
  • the feature data of the ablation object in the radio frequency ablation data, the description data of the ablation task and the feature change data of the ablation site are compared with the classification conditions corresponding to each preset type to determine which preset type the ablation task best satisfies and the preset type is used as the type to which the ablation object belongs, and the parameter data configured when the ablation task is performed is associated with the preset type.
  • (x, y, z) in Table 1 above are the position coordinates of the ablation site.
  • a two-dimensional or three-dimensional coordinate system is established with a certain vertex of the whole tissue organ where the ablation site is located as the origin, and the coordinates of the center of mass of the ablation site on the two-dimensional or three-dimensional coordinate system are used as the position of the ablation site.
  • the location of the ablation site can be positioned more accurately, thereby further improving the accuracy of the analysis results.
  • Step S303 according to the classification result and the characteristic change data of the ablation site, analyze the parameter data in the radio frequency ablation data, and obtain at least one set of target parameter data matched with different types of ablation objects, as the ablation parameter configuration scheme;
  • the parameter data is classified to obtain at least one set of candidate parameter data corresponding to different types of ablation objects. Then, among the candidate parameter data, the characteristic change data of the ablation site and/or the parameter data whose survival time does not meet the preset change standard are screened out, and at least one set of target parameter data is obtained as the ablation parameter configuration scheme.
  • the change criterion is used to evaluate the ablation effect, which can be an absolute value or a relative value.
  • the change criterion may correspond to at least one of the characteristic change data of the ablation site, for example: a preset value to which the size of the ablation site needs to be reduced (for example, to 0.01 cm), or a reduction in the area of the ablation site that needs to be achieved value (eg, shrink by 0.1 cm).
  • the type and parameter value of the change standard can be set according to the user's self-defined operation.
  • the method further includes: setting an average value of feature change data of all ablation sites as the preset change standard.
  • the characteristic change of the ablation site reaches the average change level of all ablation sites, for example, the area change reaches the average area change level and the size change reaches the average size change level, the corresponding parameter data is retained.
  • all the parameter data of each device configured in the system is taken as a set of parameter data, and the ablation effect is used to filter each set of parameter data, which can further improve the reliability of the analysis results.
  • the method further includes: analyzing the normal distribution characteristics of the characteristic change data of the ablation site, and setting the normal distribution characteristic value obtained by the analysis as the preset change standard. .
  • the normal distribution has a bell-shaped curve, with a high probability density in the middle and low probability density on both sides.
  • the shape is determined by the parameters ⁇ and ⁇ .
  • a continuous random variable conforms to a normal distribution with mean ⁇ and standard deviation ⁇ , denoted as: X ⁇ N( ⁇ , ⁇ 2).
  • ⁇ refers to the central position of the curve, and generally the maximum probability density occurs near the mean.
  • Step S304 establishing an association relationship between different types of ablation objects, their corresponding classification conditions and at least one set of target parameter data that are matched respectively, and outputting and storing the established association relationship in a database;
  • the above Table 2 is only an example, and in practical applications, the relevant data table may have more or less content, and may also be embodied in other forms.
  • the corresponding different types of ablation objects, classification conditions, and target parameter data may also be stored in the database, or the Only the storage link of the above data is stored in the database, and the source data of the above data is stored in other database servers, so as to reduce the size of the database and improve the query speed.
  • the method further includes:
  • the target parameter data is screened in the database on a regular basis according to the physiological change data.
  • the physiological change data may include, but is not limited to, at least one of body temperature, blood pressure, blood sugar, heart rate, blood lipids, vital capacity, and blood oxygen saturation.
  • Smart physical examination equipment can be home physical examination equipment, or physical examination equipment set up in various medical places, such as smart watches, smart bracelets and other smart wearable devices with blood pressure, heart rate, and body temperature measurement functions, and smart wearable devices with data transmission functions. Blood glucose monitor, smart blood pressure monitor, smart thermometer, etc.
  • the target parameter data is screened in the database on a regular basis, including:
  • the abnormal physiological change rate is obtained
  • the storage state of the target parameter data is adjusted in the database.
  • the physiological abnormal change rate is the ratio between the number of people whose physiological data of the same type of ablation object changes beyond a preset range of changes after the execution of the associated ablation task, and the total number of ablation objects of this type. For example, in the first type of ablation objects, after the associated ablation task is performed, the proportion of the number of people whose blood pressure value continues to exceed the preset time period and higher than the preset value in the total number of the first type of ablation objects.
  • Adjusting the storage state of the target parameter data in the database specifically includes: in the database, marking the parameter data whose physiological abnormality change rate in the target parameter data is greater than the preset ratio as hidden, locked, or frozen, so that the external device The parameter data cannot be queried; the parameter data whose physiological abnormality change rate is not greater than the preset ratio in the target parameter data is marked as normal, so that the external device can query the parameter data.
  • the intelligent physical examination equipment to monitor the physiological changes of each ablation object, and dynamically adjusting the storage state of the ablation parameter configuration scheme stored in the database according to the monitored data, the final ablation parameter configuration scheme can be obtained. , with the increase in the amount of data, more targeted and accurate.
  • Step S305 when receiving the parameter analysis instruction, obtain the first target data
  • Step S306 according to the first target data and the preset first target classification condition, determine the classification of the ablation object pointed to by the parameter analysis instruction;
  • Step S307 searching for at least one group of parameter data matching the determined category in the database, as reference data;
  • Step S308 according to the reference data, perform feasibility analysis on the parameter data to be configured, and output the analysis result;
  • the parameter analysis instruction may be sent to the server by other terminals according to the user's operation.
  • other terminals may send the first target data input by the user or the storage link of the first target data to the server at the same time.
  • the first target data includes: feature data of the ablation object pointed to by the parameter analysis instruction, feature data of the ablation site, description data of the ablation task to be performed, and parameter data to be configured.
  • the characteristic data of the ablation object pointed to by the above parameter analysis instruction the characteristic data of the ablation site, the description data of the ablation task to be performed, the parameter data to be configured, the first target classification condition, and, according to the first target data and the first target classification
  • the condition determines the category of the ablation object pointed to by the parameter analysis instruction. For details, reference may be made to the relevant descriptions in step S301 and step S302, which will not be repeated here.
  • a feasibility analysis is performed on the parameter data to be configured, including: comparing the reference data with the parameter data to be configured, and judging whether the difference between the two is less than a preset difference range; if it is less than the preset difference range, Then, it is determined that the corresponding parameter data to be configured is feasible; otherwise, it is determined that the corresponding parameter data to be configured is not feasible.
  • the analysis result includes: description information of whether the parameter data to be configured is feasible. Further, the analysis result may further include: reference data corresponding to infeasible parameter data to be configured.
  • the parameter data to be configured includes: the perfusion volume and perfusion duration of the syringe pump, the power and ablation duration of the radiofrequency ablation catheter, wherein, according to the reference data obtained by the query, the perfusion volume and perfusion duration of the syringe pump in the parameter data to be configured If the duration is feasible, but the power and ablation duration of the radiofrequency ablation catheter are not feasible, the analysis result may include reference data of the power and ablation duration of the radiofrequency ablation catheter in addition to the description of whether it is feasible.
  • the accuracy of the parameter configuration of the radiofrequency ablation system can be improved, thereby achieving a better ablation effect.
  • Step S309 acquiring second target data when receiving the parameter query instruction
  • Step S310 Determine the category of the ablation object pointed to by the parameter query instruction according to the second target data and the preset second target classification condition;
  • Step S311 Search the database for at least one set of parameter data that matches the determined category, and output the search result.
  • the second target data includes: characteristic data of the ablation object and the ablation site pointed to by the parameter query instruction, and description data of the ablation task to be performed.
  • the feature data of the ablation object and the ablation site pointed to by the parameter query instruction the description data of the ablation task to be performed, the second target classification condition, and, according to the second target data and the second target classification condition, determine the parameter query instruction to point to.
  • the category to which the ablation object belongs specific reference may be made to the relevant descriptions in step S301 and step S302, which will not be repeated here.
  • the first target classification condition and the second target classification condition correspond to the first target data and the second target data, respectively.
  • the first and second target classification conditions and the type range of each parameter in the target data are used in parameter analysis and parameter query, which may be less than or equal to the classification conditions used in steps S301 and S302 and the type range of radiofrequency ablation data.
  • the first target classification condition may only be age group.
  • the user is provided with a query service of ablation parameter configuration scheme based on target classification conditions and target data, so that the radiofrequency ablation data can be fully utilized.
  • FIG. 4 a schematic structural diagram of a radio frequency ablation data processing apparatus provided by an embodiment of the present invention.
  • the apparatus may be a server, or a software module configured on a server.
  • the apparatus includes: an acquisition module 401 , an analysis module 402 and an output module 403 .
  • the acquisition module 401 is configured to acquire radio frequency ablation data of each ablation task that has been performed within a preset duration, where the radio frequency ablation data includes: parameter data configured by each device in the radio frequency ablation system when each ablation task is performed, and, each of the Feature data of the ablation object associated with the ablation task;
  • An analysis module 402 configured to analyze the radio frequency ablation data to obtain ablation parameter configuration schemes that are respectively matched for different types of ablation objects;
  • the output module 403 is configured to output the ablation parameter configuration scheme.
  • FIG. 5 a schematic structural diagram of a radio frequency ablation data processing apparatus provided by another embodiment of the present invention.
  • the apparatus may be a server, or a software module configured on a server. Different from the embodiment shown in Figure 4, as shown in Figure 5:
  • radio frequency ablation data further includes: description data of each ablation task and feature change data of the ablation site of each ablation object;
  • the analysis module 402 is further configured to classify the ablation object according to the characteristic data of the ablation object, the description data of the ablation task, the characteristic change data of the ablation part, and the preset classification conditions; and is also used to classify the ablation object according to the classification
  • the result and the characteristic change data of the ablation site analyze the parameter data, and obtain at least one set of target parameter data matched with each of the ablation objects of different types, as the ablation parameter configuration scheme; also used for different types of the ablation
  • the object establishes an association relationship with the corresponding classification condition and the at least one set of target parameter data matched respectively;
  • the output module 403 is further configured to output and store the established association relationship in the database.
  • the analysis module 402 is further configured to classify the parameter data according to the classification result, and obtain at least one set of candidate parameter data corresponding to the ablation objects of different types; and filter out the candidate parameter data. , the characteristic change data of the ablation site does not meet the parameter data of the preset change standard, and the at least one set of target parameter data is obtained as the ablation parameter configuration scheme.
  • the device also includes:
  • the setting module 501 is configured to set the average value of the characteristic change data of the ablation site as the preset change standard.
  • the setting module 501 is further configured to analyze the normal distribution characteristic of the characteristic change data of the ablation site, and set the normal distribution characteristic value obtained by the analysis as the preset change standard.
  • the device also includes:
  • the monitoring module 502 is configured to monitor the physiological changes of the ablation objects through the intelligent physical examination equipment, and obtain the physiological change data of the ablation objects after the execution of the associated ablation tasks;
  • the screening module 503 is used for regularly screening the target parameter data in the database according to the physiological change data.
  • the device also includes:
  • a receiving module 504 configured to receive the identification information of the ablation object, the angiography time and the angiography data of the ablation object sent by the medical imaging device;
  • the identification module 505 is used to perform image recognition on the angiography data, and generate the characteristic data of the ablation site of the ablation object according to the recognition result; and associate the identification information of the ablation object, the angiography time with the feature data of the ablation site, and store the association relationship in the ablation site information database through the output module 403;
  • the acquisition module 401 is further configured to query the ablation site information database to obtain characteristic data of the ablation site of each ablation object and the corresponding angiography time; and obtain feature change data of the ablation site of each ablation object according to the angiography time .
  • the obtaining module 401 is further configured to obtain first target data when a parameter analysis instruction is received, where the first target data includes: the ablation object and the characteristic data of the ablation site pointed to by the parameter analysis instruction, the ablation to be performed The description data of the task, and the parameter data to be configured;
  • the device also includes:
  • a first determination module 506, configured to determine the category of the ablation object pointed to by the parameter analysis instruction according to the first target data and the preset first target classification condition;
  • the first search module 507 is used to search the database for at least one set of parameter data that matches the determined category, as reference data;
  • the feasibility analysis module 508 is configured to perform a feasibility analysis on the parameter data to be configured according to the reference data, and output the analysis result through the output module 403 .
  • the obtaining module 401 is further configured to obtain second target data when a parameter query instruction is received, where the second target data includes: feature data of the ablation object and ablation site pointed to by the parameter query instruction, and the ablation to be performed Descriptive data for the task;
  • the device also includes:
  • the second determination module 509 is configured to determine, according to the second target data and the preset second target classification condition, the classification of the ablation object pointed to by the parameter query instruction;
  • the second search module 510 is configured to search the database for at least one set of parameter data that matches the determined category, and output the search result.
  • the characteristic data includes: at least one of the gender of the ablation subject, the condition before the ablation task is performed, and the survival time after the ablation task is performed, and age;
  • the description data of the ablation task includes: the execution time of the ablation task, and the description data of the ablation stage corresponding to the ablation task;
  • the characteristic change data of the ablation part includes: at least one of the size, shape and area of the ablation part, and change data before and after the associated ablation task is performed.
  • the server 60 includes a network interface 61 , a processor 62 , a memory 63 , a computer program 64 stored in the memory 63 and executable on the processor 62 , and a system bus 65 .
  • the system bus 65 is used to connect the network interface 61 , the processor 62 and the memory 63 .
  • the processor 62 executes the computer program 64, the steps in each of the above-mentioned embodiments of the radio frequency ablation data processing method are implemented, for example, steps S201 to S202 shown in FIG. 2 .
  • the network interface 61 is used to communicate with other servers.
  • the processor 62 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC) ), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the memory 63 may be, for example, hard drive memory, non-transitory memory, non-volatile memory (such as flash memory or other electronically programmable limit erasure memory used to form solid state drives, etc.), volatile memory (such as static or dynamic random access memory, etc.), etc., which are not limited in this embodiment of the present invention.
  • the memory 63 may include both an internal storage unit of the server 60 and an external storage device.
  • the memory 63 is used to store computer programs and other programs and data required by the server 60 .
  • the memory 63 may also be used to temporarily store data that has been output or is to be output.
  • the computer program 64 may be divided into one or more modules/units that are stored in the memory 63 and executed by the processor 62 to accomplish the present invention.
  • the one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 64 in the server 60 .
  • the computer program 64 can be divided into an acquisition module 401, an analysis module 402 and an output module 403, and the specific functions of each unit are as follows:
  • the acquisition module 401 is configured to acquire radio frequency ablation data of each ablation task that has been performed within a preset time period, where the radio frequency ablation data includes: parameter data configured by each device in the radio frequency ablation system when each ablation task is performed, and, each of the Feature data of the ablation object associated with the ablation task;
  • An analysis module 402 configured to analyze the radio frequency ablation data to obtain ablation parameter configuration schemes that are respectively matched for different types of ablation objects;
  • the output module 403 is configured to output the ablation parameter configuration scheme.
  • device drivers are also stored in the memory 63, and the device drivers may be network and interface drivers.
  • FIG. 6 is only an example of the server 60, and does not constitute a limitation on the server 60. In practical applications, it may include more or less components than those shown in the figure, or combine some components , or different components, for example, the server 60 may also include: input/output devices (eg, keyboard, microphone, camera, speaker, display screen, etc.).
  • input/output devices eg, keyboard, microphone, camera, speaker, display screen, etc.
  • an embodiment of the present invention further provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium can be configured in the server in the foregoing embodiments, the non-transitory computer-readable storage medium
  • a computer program is stored on the medium, and when the program is executed by the processor, the radio frequency ablation data processing method described in the embodiments shown in FIG. 2 and FIG. 3 is implemented.
  • the disclosed apparatus/terminal and method may be implemented in other manners.
  • the apparatus/terminal embodiments described above are only illustrative.
  • the division of modules or units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be Incorporation may either be integrated into another system, or some features may be omitted, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • Units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.
  • the integrated unit if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a computer-readable storage medium.
  • the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program.
  • the computer program may be stored in a computer-readable storage medium, and when executed by the processor, the computer program may implement the steps of the above-mentioned method embodiments.
  • the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate forms, and the like.
  • the computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.
  • ROM Read-Only Memory
  • RAM random access Memory
  • electric carrier signal telecommunication signal and software distribution medium, etc.
  • computer-readable media may be appropriately increased or decreased in accordance with the requirements of legislation and patent practice in the jurisdiction.
  • computer-readable media does not include It is an electrical carrier signal and a telecommunication signal.

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Abstract

一种射频消融数据处理方法、装置、服务器及计算机可读存储介质，其中该方法包括：获取预设时长内已执行的各消融任务的射频消融数据，该射频消融数据包括：射频消融系统中各装置在执行各该消融任务时配置的参数数据，以及，各该消融任务关联的消融对象的特征数据；对该射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案并输出。上述射频消融数据处理方法、装置、服务器及计算机可读存储介质实现基于大数据的射频消融数据分析，并可为不同类型的消融对象提供消融参数配置参考。

Description

射频消融数据处理方法、装置、服务器及计算机可读存储介质 技术领域
本发明实施例涉及数据处理技术领域，尤其涉及一种射频消融数据处理方法、装置、服务器及计算机可读存储介质。
背景技术
射频消融(Radio Frequency Ablation，RFA)技术是较为常见的一种肿瘤微创消融技术。射频消融的原理是应用频率小于30MHz(兆赫)的交变高频电流使肿瘤组织内离子发生高速震荡，互相摩擦，将射频能转化为热能，使得肿瘤细胞发生凝固性坏死。
在进行每一次消融任务时，射频消融系统中的各装置都会产生大量的射频消融数据。但在现有技术中，这些射频消融数据仅止于被记录在日志中。如何利用这些射频消融数据为今后的消融任务提供数据参考和技术支持，是目前业内亟待解决的一大难题。
发明内容
本发明实施例提供一种射频消融数据处理方法、装置、服务器及非暂时性计算机可读存储介质，可实现基于大数据的射频消融数据分析，并可为不同类型的消融对象提供消融参数配置参考，从而提高射频消融数据的利用率。
本发明实施例一方面提供了一种射频消融数据处理方法，应用于计算机设备，包括：
获取预设时长内已执行的各消融任务的射频消融数据，所述射频消融数据包括：射频消融系统中各装置在执行各所述消融任务时配置的参数数据，以及，各所述消融任务关联的消融对象的特征数据；
对所述射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案并输出。
本发明实施例一方面还提供了一种射频消融数据处理装置，包括：
获取模块，用于获取预设时长内已执行的各消融任务的射频消融数据，所述射频消融数据包括：射频消融系统中各装置在执行各所述消融任务时配置的参数数据，以及，各所述消融任务关联的消融对象的特征数据；
分析模块，用于对所述射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案；
输出模块，用于输出所述消融参数配置方案。
本发明实施例一方面还提供了一种服务器，包括：存储器和处理器；
所述存储器存储有可执行程序代码；
与所述存储器耦合的所述处理器，调用所述存储器中存储的所述可执行程序代码，执行如上述实施例提供的射频消融数据处理方法。
本发明实施例一方面还提供一种非暂时性计算机可读存储介质，其上存储有计算机程序，所述计算机程序在被处理器运行时，实现如上述实施例提供的射频消融数据处理方法。
本发明提供的各实施例，通过获取预设时长内已执行的各消融任务的射频消融数据，并对获取的射频消融数据进行分析，从而得到不同类型的消融对象各自匹配的消融参数配置方案，实现了基于大数据的射频消融数据自动分析，以及基于该自动分析的消融参数配置方案推荐，从而提高了射频消融数据的利用率，同时由于其分析结果是基于海量数据产生，因此具有较高的参考性。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例提供的射频消融数据处理方法的应用环境图；
图2为本发明一实施例提供的射频消融数据处理方法的实现流程图；
图3为本发明另一实施例提供的射频消融数据处理方法的实现流程图；
图4为本发明一实施例提供的射频消融数据处理装置的结构示意图；
图5为本发明另一实施例提供的射频消融数据处理装置的结构示意图；
图6为本发明一实施例提供的服务器的硬件结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
参见图1，本发明实施例提供的射频消融数据处理方法的应用场景示意图。该射频消融数据处理方法可通过图1中的服务器20实现。服务器20可以是单台云端服务器，也可以是云端由多台服务器组成的分布式服务器集群。该分布式服务器集群包括：至少一台用于数据接入的接入服务器群组、至少一台用于数据分发的分发服务器群组、至少一台用于数据处理的云处理服务器群组以及至少一台用于数据(如本发明各实施例中的数据库)存储的数据库服务器群组。上述各服务器群组可以配置在一个地方，也可以分布配置在不同的位置。
该接入服务器群组作为该分布式服务器集群的对外接口，通过第一网关与该分发服务器群组建立数据连接，以进行数据交互，实现本发明各实施例提供的射频消融数据处理方法中的数据采集和数据外发。
该分发服务器群组通过第二网关与该云处理服务器群组建立数据连接，以进行数据交互，实现本发明各实施例提供的射频消融数据处理方法中的射频消融数据的分发和数据处理的调控。该分发服务器群组根据各云处理服务器的实时处理量，确定用于处理接入服务器群组发送的数据的目标服务器。
该云处理服务器群组通过第三网关与该数据库服务器群组建立数据连接，以实现本发明各实施例提供的射频消融数据处理方法中的射频消融数据的分析和处理，以及实现基于本发明各实施例中的数据库的数据存储、查询及修改。
服务器20通过无线网络或有线连接的方式，与一个或多个射频消融系统10中的至少一个装置以及其他关联设备30建立数据连接，通过该数据连接获取各射频消融系统10执行的消融任务的射频消融数据，并通过以下实施例中的射频消融数据处理方法，对该射频消融数据进行处理。为便于理解，图1仅示出了3个射频消融系统10，在实际应用中可不限于此。多个射频消融系统10可以分别配置在不同位置，如：不同地区的多个单位的不同科室。
可以理解的，当服务器20仅与射频消融系统10中的部分装置建立数据连接时，该部分装置可作为接口，将射频消融系统10中其他装置的射频消融数据转发给服务器20。
其他关联设备30例如可以是：医学造影设备、智能体检设备、医生用户的个人计算机终端、医疗数据公共平台的服务器等等其他射频消融数据采集和存储设备。
如图1所示，射频消融系统10包括：射频消融控制装置11、注射泵12、中性电极13以及射频消融导管14。
在执行消融任务前，首先，将用于产生和输出射频能量的射频消融导管14和注射泵12的延长管121插入消融对象(如一肺气肿患者)的体内，并到达消融部位。然后将中性电极13与消融对象的皮肤表面接触。射频电流流过射频消融导管14、消融对象的组织和中性电极13，从而形成回路。
当消融任务被触发时，射频消融控制装置11控制射频消融导管14通过单极放电的方式，向消融部位输出射频能量，以对该消融部位执行消融操作。同时，注射泵12通过延长管121对消融对象执行灌注操作，向该消融部位灌注生理盐水，以调整消融部位的阻抗和温度。
参见图2，本发明一实施例提供的射频消融数据处理方法的实现流程图。该方法可通过计算机设备，如图1中的服务器20实现。如图2所示，该方法具体包括：
步骤S201、获取预设时长内已执行的各消融任务的射频消融数据；
具体的，服务器定期获取预设时长内已执行的各消融任务的射频消融数据。该射频消融数据包括：至少一个射频消融系统中各装置在执行各消融任务时配置的参数数据，以及，各消融任务关联的消融对象的特征数据。该预设时长例如可以是1个月，半年，1年，或者更长时间，或者也可以是自各射频消融系统投入使用开始至服务器获取射频消融数据之间的时间间隔，具体可根据用户自定义操作设置。
其中，上述参数数据例如可以但不限于包括：射频消融控制装置控制射频消融导管执行消融操作时调用的的射频功率、消融时间、报警值，注射泵的液体灌注量、灌注时间、报警值等等。射频消融控制装置和注射泵根据各自对应的参数数据，执行消融任务。
上述消融对象的特征数据例如可以但不限于包括：消融对象的姓名、年龄、性别、病症等等。
服务器可以通过定期向射频消融系统中的装置发送数据获取请求的方式，获取该参数数据。或者，射频消融系统中的装置也可以实时或者定期将执行每一次消融任务时配置的参数数据上报给服务器。或者，射频消融系统中的装置也可以实时或定期将执行每一次消融任务时配置的参数数据上报给专门 用于射频消融数据采集的数据采集服务器，服务器定期从数据采集服务器获取该参数数据。
可以理解的，各消融任务关联的消融对象的特征数据可以存储在射频消融系统中，也可以存储在数据采集服务器中。当存储在数据采集服务器时，上述服务器可根据消融任务的标识信息，从数据采集服务器查询得到该消融任务关联的消融对象的特征数据。
数据采集服务器可以根据用户的输入操作，得到各消融任务关联的消融对象的特征数据，也可以从其他终端(如各医务室的计算机终端)得到各消融任务的描述文件(如，电子处方单)，然后从该描述文件中提取各消融任务关联的消融对象的特征数据。
步骤S202、对射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案并输出。
具体的，可先根据各消融对象的特征数据，对消融对象进行分类。然后将各射频消融数据，按照其对应的消融任务关联的消融对象所属的类型，进行归类，从而得到不同类型的消融对象各自匹配的消融参数配置方案并输出。
可选的，可将射频消融系统中的所有装置为执行同一个消融任务调用的所有参数数据作为一个消融参数配置方案，或者，将射频消融系统中的一个装置为执行一个消融任务调用的所有参数数据作为一个消融参数配置方案。
本发明实施例中，通过获取预设时长内已执行的各消融任务的射频消融数据，并对获取的射频消融数据进行分析，从而得到不同类型的消融对象各自匹配的消融参数配置方案，实现了基于大数据的射频消融数据自动分析，以及基于该自动分析的消融参数配置方案推荐，从而提高了射频消融数据的利用率，同时由于其分析结果是基于海量数据产生，因此具有较高的参考性。
参见图3，本发明一实施例提供的射频消融数据处理方法的实现流程图。该方法可通过计算机设备，如图1中的服务器20实现。如图3所示，该方法具体包括：
步骤S301、获取预设时长内已执行的各消融任务的射频消融数据；
具体的，服务器定期获取预设时长内已执行的各消融任务的射频消融数据。该射频消融数据包括：射频消融系统中各装置在执行各消融任务时配置的参数数据，以及，各消融任务关联的消融对象的特征数据。该预设时长例如可以是1个月，半年，1年，或者更长时间，或者也可以是自射频消融系统投入使用开始至服务器获取射频消融数据之间的时间间隔，具体可根据用户自定义操作设置。
该射频消融数据包括：射频消融系统中各装置在执行各消融任务时配置的参数数据，各消融任务关联的消融对象的特征数据，各消融任务的描述数据，各消融对象的消融部位的特征数据，以及，各消融部位在各自关联的消融任务执行后的变化数据。
其中，上述参数数据例如可以但不限于包括：射频消融控制装置的射频功率、消融时间、报警值，注射泵的液体灌注量、灌注时间、流速、报警值等等。射频消融控制装置和注射泵根据各自对应的参数数据，执行消融任务。
可选的，消融对象的特征数据可以但不限于包括：消融对象的性别、执行消融任务前的病症和执行消融任务后的存活时间中的至少一种，以及，年龄。其中，该病症包括：除了消融任务对应的病症之外的其他病症，如：高血压、高烧、哮喘等等。
可选的，消融任务的描述数据包括：消融任务的执行时间，以及，消融任务对应的消融阶段的描述数据，如：第一次消融任务，或者，第几个消融阶段。
可选的，消融部位的特征变化数据包括：消融部位的位置、大小、形状以及面积中的至少一种，在每一次关联的消融任务执行前后的变化数据。
服务器可以通过定期向射频消融系统中的装置发送数据获取请求的方式，获取该参数数据。或者，射频消融系统中的装置也可以实时或者定期将执行每一次消融任务时配置的参数数据上报给服务器。或者，射频消融系统中的装置也可以实时或定期将执行每一次消融任务时配置的参数数据上报给专门用于射频消融数据采集的数据采集服务器，服务器定期从数据采集服务器获取该参数数据。
可以理解的，上述射频消融数据中，除了参数数据之外的其他数据可以存储在射频消融系统中，也可以存储在专门的数据采集服务器中。当存储在数据采集服务器时，服务器可根据消融任务的标识信息或消融对象的标识信息，从数据采集服务器查询得到该消融任务关联的其他射频消融数据。其中，消融任务的标识信息用于唯一标识该消融任务的身份，如该消融任务的全网唯一编号。消融对象的标识信息用于唯一标识该消融对象的身份，如该消融对象的姓名。这些标识信息可由射频消融系统或者其他相关设备在执行对应任务时进行分配，并上报给服务器；或者，也可以由服务器分配并下发给射频消融系统或者其他相关设备。
数据采集服务器可以根据用户的输入操作，得到射频消融数据，或者，也可以从其他终端(如各医务室的计算机终端)获取射频消融数据，如：从其他终端获取各消融任务的描述文件(如，电子处 方单)，然后从该描述文件中提取各消融任务关联的消融对象的特征数据。
可选的，于本发明其他一实施方式中，该方法还包括：
接收医学造影设备发送的消融对象的标识信息、造影时间以及该消融对象的造影数据；对该造影数据进行图像识别，根据识别结果生成该消融对象的消融部位的特征数据；将该消融对象的标识信息、该造影时间与该消融部位的特征数据进行关联，并将关联关系存储在消融部位信息数据库中。
其中，医学造影设备可以但不限于包括：X光检查仪、CT(Computed Tomography，电子计算机断层扫描)机等。具体的，医学造影设备可在执行每一次造影任务之后，或者，定期将执行造影任务时得到造影数据上报给服务器。
消融部位的特征数据可以但不限于包括：该消融部位的位置、大小、形状以及面积中的至少一种。可选的，消融部位信息数据库可以配置在云端的数据采集服务器中。
则，各消融对象的消融部位的特征变化数据还可通过以下方式得到：查询消融部位信息数据库，得到各消融对象的消融部位的特征数据及对应的造影时间；根据造影时间，得到各消融对象的消融部位的特征变化数据。
具体的，服务器可以通过查询消融部位信息数据库，一次得到所有消融对象的消融部位的特征数据及其造影时间，或者，也可以根据一个或多个消融对象的标识信息，查询得到对应的一个或多个消融对象的特征数据及其造影时间。
像这样，将医学造影设备等其他相关设备纳入射频消融数据自动分析网络之中，可以实现相关数据的自动采集，节省人力成本，缩短数据采集时间，进一步提高数据分析的效率。
步骤S302、根据射频消融数据中的消融对象的特征数据，消融任务的描述数据，消融部位的特征变化数据，以及，预设的分类条件，对消融对象进行分类；
具体的，预设的分类条件，即，分类标准。根据该射频操作数据的具体内容，如下表1所示，该分类标准可以但不限于包括例如：年龄段、性别、执行消融任务前的病症、消融阶段、消融部位的特征范围、存活时间范围等。在实际应用中，可根据用户的自定义操作预设一个或多个分类条件。
像这样，按照预设的分类条件，对消融对象进行分类，以区别不同类型的消融对象，然后再根据分类结果对射频消融数据进行分析，可使得分析得到的消融参数配置方案更具有针对性和参考性。
表1
Figure PCTCN2021142747-appb-000001
如上表1所示，预设多个消融对象的类型，每一种类型(如类型1，类型2)可以对应一个或多个分类条件(如：年龄段，性别等)，将一项消融任务的射频消融数据中的消融对象的特征数据，该消融任务的描述数据以及消融部位的特征变化数据分别与各预设类型对应的分类条件进行比较，以确定该消融任务最满足哪一个预设类型的分类条件，并将该预设类型作为该消融对象所属类型，将执行该消融任务时配置的参数数据与该预设类型进行关联。
上表1中的(x，y，z)为消融部位的位置坐标。可选的，以消融部位所在组织器官的整体的某一个顶点为原点，建立二维或三维坐标系，将消融部位的质心在该二维或三维坐标系上的坐标作为该消融部位的位置。通过利用坐标，可以使得消融部位的位置定位更为准确，从而进一步提高分析结果的准确性。
可以理解的，上述表1仅为一种示例，在实际应用中，相关数据表可以具有更多或者更少的内容，并且也可以其他形式进行体现。
步骤S303、根据分类结果及消融部位的特征变化数据，对射频消融数据中的参数数据进行分析，得到不同类型的消融对象各自匹配的至少一组目标参数数据，作为消融参数配置方案；
具体的，首先，根据对消融对象的分类结果，对参数数据进行归类，得到不同类型的消融对象各自对应的至少一组备选参数数据。然后，筛除备选参数数据中，消融部位的特征变化数据和/或存活时间未达到预设变化标准的参数数据，得到至少一组目标参数数据，作为消融参数配置方案。
其中，变化标准用于评价消融效果，可以是绝对值，也可以是相对值。变化标准可以对应消融部 位的特征变化数据中的至少一种，例如：消融部位的大小需要减小到的预设值(如，减小到0.01厘米)，或者，消融部位的面积需要达到的缩小值(如，缩小了0.1厘米)。变化标准的种类及参数值，具体可根据用户的自定义操作设置。
可选的，于本发明其他一实施方式中，该方法还包括：将所有消融部位的特征变化数据的均值，设置为该预设变化标准。
也就是说，当消融部位的特征变化达到所有消融部位的平均变化水平时，如，面积变化达到平均面积变化水平，大小变化达到平均大小变化水平时，对应的参数数据才予以保留。像这样，将一个射频消融系统执行一次消融任务时，配置在该系统中各装置的所有参数数据作为一组参数数据，通过利用消融效果对各组参数数据进行筛选，可以进一步提高分析结果的可参考性。
可选的，于本发明其他一实施方式中，该方法还包括：对该消融部位的特征变化数据的正态分布特征进行分析，并将分析得到正态分布特征值设置为该预设变化标准。
具体的，正态分布具有钟形曲线，中间概率密度大，两边概率密度小。形状通过参数μ和σ确定。一个连续随机变量符合均值为μ，标准差为σ的正态分布，记作：X～N(μ，σ^2)。其中，μ指曲线的中央位置，一般最大概率密度出现在均值附近。通过对该消融部位的特征变化数据的正态分布特征进行分析，可以得到最大概率使得消融部位呈现正态变化的特征值，将该特征值设置为该预设变化标准，可以进一步提高分析结果的可参考性。
步骤S304、为不同类型的消融对象与各自对应的分类条件以及各自匹配的至少一组目标参数数据建立关联关系，并将建立的关联关系输出并存储在数据库中；
于一实际应用例中，分析结果具体可如以下表2所示。
表2
Figure PCTCN2021142747-appb-000002
可以理解的，上述表2仅为一种示例，在实际应用中，相关数据表可以具有更多或者更少的内容，并且也可以其他形式进行体现。在将本发明中涉及的各关联关系存储在数据库中时，除了关联关系之外，也可以一并将对应的不同类型的消融对象、分类条件、目标参数数据存储在该数据库中，或者，该数据库中仅保存上述数据的存储链接，将上述数据的源数据存储在其他数据库服务器中，以减小该数据库的体积，提高查询速度。
可选的，于本发明其他一实施方式中，该方法还包括：
通过智能体检设备对各消融对象的生理变化进行监控，得到各消融对象在关联的各消融任务执行后的生理变化数据；
定期根据生理变化数据，在数据库中对目标参数数据进行筛选。
可选的，生理变化数据可以但不限于包括：体温、血压、血糖、心率、血脂、肺活量以及血氧饱和度中的至少一种。智能体检设备可以是家用体检设备，也可以是设置在各医疗场所的体检设备，具体如：具有血压、心率、体温测量功能的智能手表、智能手环等智能穿戴设备，具有数据传输功能的智能血糖检测仪、智能血压计、智能温度计等等。
进一步的，定期根据生理变化数据，在数据库中对目标参数数据进行筛选，具体包括：
定期根据生理变化数据，得到生理异常变化率；
根据生理异常变化率和预设比率，在数据库中调整目标参数数据的存储状态。
其中，生理异常变化率是：同一类型的消融对象在关联的消融任务执行后的生理数据变化超出预设变化范围的人数，与，该类型的消融对象的总人数之间的比率。例如：第1类型的消融对象中，在关联消融任务执行后，血压值持续超过预设时长高于预设值的人数在第1类型的消融对象的总人数中的占比。
在数据库中调整目标参数数据的存储状态，具体包括：在该数据库中，将目标参数数据中生理异常变化率大于该预设比率的参数数据，标记为隐藏、锁定、或冻结，以使得外部设备无法查询到该参数数据；将目标参数数据中生理异常变化率不大于该预设比率的参数数据，标记为正常，以使得外部设备可以查询到该参数数据。
像这样，通过利用智能体检设备对各消融对象的生理变化进行监控，并根据监控到的数据，对数据库中存储的消融参数配置方案的存储状态进行动态调整，可以使得最终得到的消融参数配置方案，随着数据量的增加，更加具有针对性和准确性。
步骤S305、当接收到参数分析指令时，获取第一目标数据；
步骤S306、根据第一目标数据以及预设的第一目标分类条件，确定参数分析指令指向的消融对象的所属分类；
步骤S307、在数据库中查找与确定出的所属分类相匹配的至少一组参数数据，作为参考数据；
步骤S308、根据参考数据，对待配置参数数据进行可行性分析，并输出分析结果；
具体的，参数分析指令可由其他终端根据用户的操作发送给服务器。其他终端在将该参数分析指令发送给服务器时，可一并将用户输入的第一目标数据或该第一目标数据的存储链接发送给服务器。
其中，第一目标数据包括：参数分析指令指向的消融对象的特征数据，消融部位的特征数据，待执行的消融任务的描述数据，以及，待配置参数数据。
上述参数分析指令指向的消融对象的特征数据，消融部位的特征数据，待执行的消融任务的描述数据，待配置参数数据，第一目标分类条件，以及，根据第一目标数据以及第一目标分类条件确定参数分析指令指向的消融对象的所属分类，具体可参考步骤S301和步骤S302中的相关描述，此处不再赘述。
具体的，根据参考数据，对待配置参数数据进行可行性分析，包括：将参考数据与待配置参数数据进行比较，判断二者的差异是否小于预设的差异范围；若小于预设的差异范围，则确定对应的待配置参数数据可行；否则，确定对应的待配置参数数据不可行。
该分析结果包括：待配置参数数据是否可行的描述信息。进一步的，该分析结果还可包括：不可行的待配置参数数据对应的参考数据。
例如：假设待配置参数数据中包括：注射泵的灌注量和灌注时长、射频消融导管的功率和消融时长，其中，根据查询得到的参考数据，待配置参数数据中的注射泵的灌注量和灌注时长是可行的，射频消融导管的功率和消融时长是不可行的，则分析结果中除了是否可行的描述信息之外，还可包括射频消融导管的功率和消融时长的参考数据。
像这样，通过利用数据库中的参考数据，对待执行消融任务的配置参数数据进行分析，可以提高射频消融系统参数配置的准确性，从而达到更好的消融效果。
步骤S309、当接收到参数查询指令时，获取第二目标数据；
步骤S310、根据第二目标数据以及预设的第二目标分类条件，确定参数查询指令指向的消融对象的所属分类；
步骤S311、在数据库中查找确定出的所属分类相匹配的至少一组参数数据，并输出查找结果。
具体的，第二目标数据包括：参数查询指令指向的消融对象和消融部位的特征数据以及待执行消融任务的描述数据。
上述参数查询指令指向的消融对象和消融部位的特征数据以及待执行的消融任务的描述数据，第二目标分类条件，以及，根据第二目标数据以及第二目标分类条件，确定参数查询指令指向的消融对象的所属分类，具体可参考步骤S301和步骤S302中的相关描述，此处不再赘述。
可选的，第一目标分类条件和第二目标分类条件分别与第一目标数据和第二目标数据对应。在进行参数分析和参数查询时使用第一和第二目标分类条件以及目标数据中的各参数的种类范围，可以小于或等于步骤S301和步骤S302中所使用的分类条件和射频消融数据的种类范围。例如：在步骤S301和步骤S302中以年龄段、性别、消融部位的面积作为分类条件，第一目标分类条件可仅为年龄段。
像这样，通过利用上述数据库，为用户提供基于目标分类条件和目标数据的消融参数配置方案查询服务，从而可使得射频消融数据得到充分的利用。
本发明实施例中，通过获取预设时长内已执行的各消融任务的射频消融数据，并对获取的射频消融数据进行分析，从而得到不同类型的消融对象各自匹配的消融参数配置方案，实现了基于大数据的 射频消融数据自动分析，以及基于该自动分析的消融参数配置方案查询和分析，从而提高了射频消融数据的利用率，同时由于其分析结果是基于海量数据产生，因此具有较高的参考性。
参见图4，本发明一实施例提供的射频消融数据处理装置的结构示意图。为了便于说明，仅示出了与本发明实施例相关的部分。该装置可以是服务器，或者，配置于服务器的软件模块。如图4所示，该装置包括：获取模块401、分析模块402以及输出模块403。
获取模块401，用于获取预设时长内已执行的各消融任务的射频消融数据，该射频消融数据包括：射频消融系统中各装置在执行各该消融任务时配置的参数数据，以及，各该消融任务关联的消融对象的特征数据；
分析模块402，用于，对该射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案；
输出模块403，用于输出该消融参数配置方案。
上述各模块实现各自功能的具体过程可参考图2和图3所示实施例中的相关内容，此处不再赘述。
本发明实施例中，通过获取预设时长内已执行的各消融任务的射频消融数据，并对获取的射频消融数据进行分析，从而得到不同类型的消融对象各自匹配的消融参数配置方案，实现了基于大数据的射频消融数据自动分析，以及基于该自动分析的消融参数配置方案查询和分析，从而提高了射频消融数据的利用率，同时由于其分析结果是基于海量数据产生，因此具有较高的参考性。
参见图5，本发明另一实施例提供的射频消融数据处理装置的结构示意图。为了便于说明，仅示出了与本发明实施例相关的部分。该装置可以是服务器，或者，配置于服务器的软件模块。与图4所示实施例不同的是，如图5所示：
进一步的，该射频消融数据还包括：各该消融任务的描述数据和各该消融对象的消融部位的特征变化数据；
分析模块402，还用于根据该消融对象的特征数据，该消融任务的描述数据，该消融部位的特征变化数据，以及，预设的分类条件，对该消融对象进行分类；还用于根据分类结果及该消融部位的特征变化数据，对该参数数据进行分析，得到不同类型的该消融对象各自匹配的至少一组目标参数数据，作为该消融参数配置方案；还用于为不同类型的该消融对象与各自对应的该分类条件以及各自匹配的该至少一组目标参数数据建立关联关系；
输出模块403，还用于将建立的关联关系输出并存储在数据库中。
进一步的，分析模块402，还用于根据该分类结果，对该参数数据进行归类，得到不同类型的该消融对象各自对应的至少一组备选参数数据；以及筛除该备选参数数据中，该消融部位的特征变化数据未达到预设变化标准的参数数据，得到该至少一组目标参数数据，作为该消融参数配置方案。
进一步的，该装置还包括：
设置模块501，用于将该消融部位的特征变化数据的平均值，设置为该预设变化标准。
进一步的，设置模块501，还用于对该消融部位的特征变化数据的正态分布特征进行分析，并将分析得到正态分布特征值设置为该预设变化标准。
进一步的，该装置还包括：
监控模块502，用于通过智能体检设备对各该消融对象的生理变化进行监控，得到各该消融对象在关联的各消融任务执行后的生理变化数据；
筛选模块503，用于定期根据该生理变化数据，在该数据库中对该目标参数数据进行筛选。
进一步的，筛选模块503还用于定期根据该生理变化数据，得到生理异常变化率，该生理变化数据包括：体温、血压、血糖、心率、血脂、肺活量以及血氧饱和度中的至少一种；以及根据该生理异常变化率和预设比率，在该数据库中调整该目标参数数据的存储状态。
进一步的，该装置还包括：
接收模块504，用于接收医学造影设备发送的该消融对象的标识信息、造影时间以及该消融对象的造影数据；
识别模块505，用于对该造影数据进行图像识别，根据识别结果生成该消融对象的消融部位的特征数据；以及将该消融对象的标识信息、该造影时间与该消融部位的特征数据进行关联，并通过输出模块403将关联关系存储在消融部位信息数据库中；
获取模块401，还用于查询该消融部位信息数据库，得到各该消融对象的消融部位的特征数据及对应的该造影时间；以及根据该造影时间，得到各该消融对象的消融部位的特征变化数据。
进一步的，获取模块401、还用于当接收到参数分析指令时，获取第一目标数据，该第一目标数据包括：该参数分析指令指向的消融对象和消融部位的特征数据，待执行的消融任务的描述数据，以及，待配置参数数据；
该装置还包括：
第一确定模块506、用于根据该第一目标数据以及预设的第一目标分类条件，确定该参数分析指令指向的消融对象的所属分类；
第一查找模块507、用于在该数据库中查找与确定出的所属分类相匹配的至少一组参数数据，作为参考数据；
可行性分析模块508，用于根据该参考数据，对该待配置参数数据进行可行性分析，并通过输出模块403输出分析结果。
进一步的，获取模块401，还用于当接收到参数查询指令时，获取第二目标数据，该第二目标数据包括：该参数查询指令指向的消融对象和消融部位的特征数据以及待执行的消融任务的描述数据；
该装置还包括：
第二确定模块509，用于根据该第二目标数据以及预设的第二目标分类条件，确定该参数查询指令指向的消融对象的所属分类；
第二查找模块510，用于在该数据库中查找确定出的所属分类相匹配的至少一组参数数据，并输出查找结果。
进一步的，该特征数据包括：该消融对象的性别、执行消融任务前的病症和执行消融任务后的存活时间中的至少一种，以及，年龄；
该消融任务的描述数据包括：该消融任务的执行时间，以及，该消融任务对应的消融阶段的描述数据；
该消融部位的特征变化数据包括：该消融部位的大小、形状以及面积中的至少一种，在关联的该消融任务执行前后的变化数据。
上述各模块实现各自功能的具体过程可参考图2和图3所示实施例中的相关内容，此处不再赘述。
本发明实施例中，通过获取预设时长内已执行的各消融任务的射频消融数据，并对获取的射频消融数据进行分析，从而得到不同类型的消融对象各自匹配的消融参数配置方案，实现了基于大数据的射频消融数据自动分析，以及基于该自动分析的消融参数配置方案查询和分析，从而提高了射频消融数据的利用率，同时由于其分析结果是基于海量数据产生，因此具有较高的参考性。
参见图6，本发明一实施例提供的服务器的硬件结构示意图。如图6所示，服务器60包括：网络接口61、处理器62、存储器63、存储在存储器63中并可在处理器62上运行的计算机程序64以及系统总线65。系统总线65用于连接网络接口61、处理器62和存储器63。处理器62执行计算机程序64时实现上述各个射频消融数据处理方法实施例中的步骤，例如图2所示的步骤S201至步骤S202。
网络接口61用于与其他服务器通信。
示例性的，处理器62可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
示例性的，存储器63可以是例如硬盘驱动存储器，非暂时性存储器、非易失性存储器(例如闪存或用于形成固态驱动器的其它电子可编程限制删除的存储器等)，易失性存储器(例如静态或动态随机存取存储器等)等，本发明实施例不作限制。存储器63可以既包括服务器60的内部存储单元也包括外部存储设备。存储器63用于存储计算机程序以及服务器60所需的其他程序和数据。存储器63还可以用于暂时地存储已经输出或者将要输出的数据。
示例性的，计算机程序64可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在存储器63中，并由处理器62执行，以完成本发明。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机程序指令段，该指令段用于描述计算机程序64在服务器60中的执行过程。例如，计算机程序64可以被分割成获取模块401、分析模块402以及输出模块403，各单元具体功能如下：
获取模块401，用于获取预设时长内已执行的各消融任务的射频消融数据，该射频消融数据包括：射频消融系统中各装置在执行各该消融任务时配置的参数数据，以及，各该消融任务关联的消融对象的特征数据；
分析模块402，用于对该射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案；
输出模块403，用于输出该消融参数配置方案。
上述功能模块实现各自功能的具体过程，可参考图4和图5所示实施例中的相关描述，此处不再 赘述。
进一步的，存储器63中还存储有设备驱动程序，该设备驱动程序可以是网络和接口驱动程序。
本领域技术人员可以理解的是，图6仅仅是服务器60的示例，并不构成对服务器60的限定，在实际应用中，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如服务器60还可以包括：输入/输出设备(如：键盘、麦克风、相机、扬声器、显示屏等)。
进一步的，本发明实施例还提供了一种非暂时性计算机可读存储介质，该非暂时性计算机可读存储介质可以配置于上述各实施例中的服务器中，该非暂时性计算机可读存储介质上存储有计算机程序，该程序被处理器执行时实现前述图2和图3所示实施例中描述的射频消融数据处理方法。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述或记载的部分，可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的模块/单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
在本发明所提供的实施例中，应该理解到，所揭露的装置/终端和方法，可以通过其它的方式实现。例如，以上所描述的装置/终端实施例仅仅是示意性的，例如，模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口，装置或单元的间接耦合或通讯连接，可以是电性，机械或其它的形式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成。该计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，计算机程序包括计算机程序代码，计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。计算机可读介质可以包括：能够携带计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是，计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括是电载波信号和电信信号。
以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围，均应包含在本发明的保护范围之内。

Claims (14)

  1. 一种射频消融数据处理方法，应用于计算机设备，其特征在于，包括：
    获取预设时长内已执行的各消融任务的射频消融数据，所述射频消融数据包括：射频消融系统中各装置在执行各所述消融任务时配置的参数数据，以及，各所述消融任务关联的消融对象的特征数据；
    对所述射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案并输出。
  2. 如权利要求1所述的方法，其特征在于，所述射频消融数据还包括：各所述消融任务的描述数据和各所述消融对象的消融部位的特征变化数据；
    所述对所述射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案并输出，包括：
    根据所述消融对象的特征数据，所述消融任务的描述数据，所述消融部位的特征变化数据，以及，预设的分类条件，对所述消融对象进行分类；
    根据分类结果及所述消融部位的特征变化数据，对所述参数数据进行分析，得到不同类型的所述消融对象各自匹配的至少一组目标参数数据，作为所述消融参数配置方案；
    为不同类型的所述消融对象与各自对应的所述分类条件以及各自匹配的所述至少一组目标参数数据建立关联关系，并将建立的关联关系输出并存储在数据库中。
  3. 如权利要求2所述的方法，其特征在于，所述根据分类结果及所述消融部位的特征变化数据，对所述参数数据进行分析，得到不同类型的所述消融对象各自匹配的至少一组目标参数数据，作为所述消融参数配置方案，包括：
    根据所述分类结果，对所述参数数据进行归类，得到不同类型的所述消融对象各自对应的至少一组备选参数数据；
    筛除所述备选参数数据中，所述消融部位的特征变化数据未达到预设变化标准的参数数据，得到所述至少一组目标参数数据，作为所述消融参数配置方案。
  4. 如权利要求3所述的方法，其特征在于，所述方法还包括：
    将所述消融部位的特征变化数据的平均值，设置为所述预设变化标准。
  5. 如权利要求3所述的方法，其特征在于，所述方法还包括：
    对所述消融部位的特征变化数据的正态分布特征进行分析，并将分析得到正态分布特征值设置为所述预设变化标准。
  6. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    通过智能体检设备对各所述消融对象的生理变化进行监控，得到各所述消融对象在关联的各消融任务执行后的生理变化数据；
    定期根据所述生理变化数据，在所述数据库中对所述目标参数数据进行筛选。
  7. 如权利要求6所述的方法，其特征在于，所述定期根据所述生理变化数据，在所述数据库中对所述目标参数数据进行筛选，包括：
    定期根据所述生理变化数据，得到生理异常变化率，所述生理变化数据包括：体温、血压、血糖、心率、血脂、肺活量以及血氧饱和度中的至少一种；
    根据所述生理异常变化率和预设比率，在所述数据库中调整所述目标参数数据的存储状态。
  8. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    接收医学造影设备发送的所述消融对象的标识信息、造影时间以及所述消融对象的造影数据；
    对所述造影数据进行图像识别，根据识别结果生成所述消融对象的消融部位的特征数据；
    将所述消融对象的标识信息、所述造影时间与所述消融部位的特征数据进行关联，并将关联关系存储在消融部位信息数据库中；
    所述获取各所述消融对象的消融部位的特征变化数据，包括：
    查询所述消融部位信息数据库，得到各所述消融对象的消融部位的特征数据及对应的所述造影时间；
    根据所述造影时间，得到各所述消融对象的消融部位的特征变化数据。
  9. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    当接收到参数分析指令时，获取第一目标数据，所述第一目标数据包括：所述参数分析指令指向的消融对象和消融部位的特征数据，待执行的消融任务的描述数据，以及，待配置参数数据；
    根据所述第一目标数据以及预设的第一目标分类条件，确定所述参数分析指令指向的消融对象的所属分类；
    在所述数据库中查找与确定出的所属分类相匹配的至少一组参数数据，作为参考数据；
    根据所述参考数据，对所述待配置参数数据进行可行性分析，并输出分析结果。
  10. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    当接收到参数查询指令时，获取第二目标数据，所述第二目标数据包括：所述参数查询指令指向的消融对象和消融部位的特征数据以及待执行的消融任务的描述数据；
    根据所述第二目标数据以及预设的第二目标分类条件，确定所述参数查询指令指向的消融对象的所属分类；
    在所述数据库中查找确定出的所属分类相匹配的至少一组参数数据，并输出。
  11. 如权利要求1至10中的任一项所述的方法，其特征在于，所述特征数据包括：所述消融对象的性别、执行消融任务前的病症和执行消融任务后的存活时间中的至少一种，以及，年龄；
    所述消融任务的描述数据包括：所述消融任务的执行时间，以及，所述消融任务对应的消融阶段的描述数据；
    所述消融部位的特征变化数据包括：所述消融部位的大小、形状以及面积中的至少一种，在关联的所述消融任务执行前后的变化数据。
  12. 一种射频消融数据处理装置，其特征在于，包括：
    获取模块，用于获取预设时长内已执行的各消融任务的射频消融数据，所述射频消融数据包括：射频消融系统中各装置在执行各所述消融任务时配置的参数数据，以及，各所述消融任务关联的消融对象的特征数据；
    分析模块，用于对所述射频消融数据进行分析，得到不同类型的消融对象各自匹配的消融参数配置方案；
    输出模块，用于输出所述消融参数配置方案。
  13. 一种服务器，其特征在于，包括：
    存储器和处理器；
    所述存储器存储有可执行程序代码；
    与所述存储器耦合的所述处理器，调用所述存储器中存储的所述可执行程序代码，执行如权利要求1至11中的任一项所述的射频消融数据处理方法。
  14. 一种非暂时性计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时，实现如权利要求1至11中的任一项所述的射频消融数据处理方法。
PCT/CN2021/142747 2020-12-31 2021-12-29 射频消融数据处理方法、装置、服务器及计算机可读存储介质 Ceased WO2022143836A1 (zh)

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