CN113138994A

CN113138994A - Term updating method and related equipment and device

Info

Publication number: CN113138994A
Application number: CN202010066767.XA
Authority: CN
Inventors: 张在阳; 严彬彬; 吴雅婷; 马巍; 于串海; 周丹; 戴志龙
Original assignee: Edan Instruments Inc
Current assignee: Edan Instruments Inc
Priority date: 2020-01-20
Filing date: 2020-01-20
Publication date: 2021-07-20

Abstract

The application discloses a term updating method and related equipment and devices, wherein the term updating method comprises the following steps: the electrocardiograph acquires term information to be learned, wherein the term information to be learned at least comprises terms to be learned obtained by modifying a current term base by a user; sending the term information to be learned to a server; receiving term data to be updated, which is obtained by the server through machine learning on the collected information of the plurality of terms to be learned; and updating the current term library based on the term data to be updated. According to the scheme, term updating can be timely and efficiently carried out.

Description

Term updating method and related equipment and device

Technical Field

The application relates to the technical field of medical electrocardio, in particular to a method for updating an operation language, and related equipment and devices.

Background

At present, after a medical staff uses an examination device such as an electrocardiograph to examine a subject to be examined, a corresponding term is generally selected in a term library as an examination result.

However, as the medical industry evolves, terms in the term library may not be applicable. In such cases, in order to make the term base satisfactory for daily use by medical staff, the term base to be updated is generally updated by copying the term base to be updated to a device such as an examination device via a removable storage medium such as a flash disk. However, the term updating by means of copying has the disadvantages of untimely updating and low updating efficiency. In view of the above, how to timely and efficiently perform term updating is an urgent problem to be solved.

Disclosure of Invention

The technical problem that this application mainly solved is to provide a term update method and relevant equipment, device, can in time and high-efficiently carry out the term update.

In order to solve the above problem, a first aspect of the present application provides a term updating method, including: the electrocardiograph acquires term information to be learned, wherein the term information to be learned at least comprises terms to be learned obtained by modifying a current term base by a user; sending the term information to be learned to a server; receiving term data to be updated, which is obtained by the server through machine learning on the collected information of the plurality of terms to be learned; and updating the current term library based on the term data to be updated.

In order to solve the above problems, a second aspect of the present application provides a term updating apparatus, including an obtaining module, a sending module, a receiving module, and an updating module, where the obtaining module is configured to obtain term information to be learned, where the term information to be learned at least includes a term to be learned obtained by a user modifying a current term base; the sending module is used for sending the term information to be learned to the server; the receiving module is used for receiving term data to be updated, which is obtained by the server through machine learning of the collected information of the plurality of terms to be learned; the updating module is used for updating the current term base based on the term data to be updated.

In order to solve the above problem, a third aspect of the present application provides a term updating device, including a processor, a memory, a communication circuit, and a human-computer interaction circuit, where the processor is coupled to the memory, the communication circuit, and the human-computer interaction circuit, respectively; the processor, the memory, the communication circuit and the human-computer interaction circuit are operable to implement the method of updating as described above in relation to the first aspect.

In order to solve the above-mentioned problems, a fourth aspect of the present application provides a storage device storing program instructions executable by a processor, the program instructions being for the term update method in the first aspect described above.

According to the scheme, the electrocardiograph obtains the term information to be learned, the term information to be learned at least comprises terms to be learned obtained by modifying the current term base by a user, the term information to be learned is sent to the server, the term data to be updated obtained by machine learning of the collected term information to be learned by the server is received, the current term base is updated based on the term data to be updated, and the user can modify the current term base based on self needs, so that the timeliness of term updating can be improved; secondly, the electrocardiograph connected with the server can update the current term base based on the machine learning result of a plurality of collected term information to be learned obtained by the server, so that the electrocardiograph connected with the server can update terms, the term updating efficiency can be improved, and term updating can be timely and efficiently performed.

Drawings

FIG. 1 is a schematic flow chart diagram of one embodiment of a term update method of the present application;

FIG. 2 is a schematic flow chart diagram of another embodiment of a term update method of the present application;

FIG. 3 is a block diagram of an embodiment of the term update apparatus of the present application;

FIG. 4 is a block diagram of an embodiment of the term update apparatus of the present application;

FIG. 5 is an exploded view of an embodiment of an electrocardiograph;

FIG. 6 is a block diagram of an embodiment of a memory device according to the present application.

Detailed Description

The following describes in detail the embodiments of the present application with reference to the drawings attached hereto.

In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present application.

The terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Further, the term "plurality" herein means two or more than two.

Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a term update method of the present application. Specifically, the method may include the steps of:

step S11: the electrocardiograph obtains the information of the terms to be learned, wherein the information of the terms to be learned at least comprises the terms to be learned obtained by modifying the current term base by the user.

In one implementation scenario, the current term library may include a plurality of original terms, which may include, for example: "sinus arrhythmia", "sinus bradyarrhythmia", etc., and the present embodiment is not illustrated here.

In a specific implementation scenario, the modification of the current term corpus by the user may specifically include: the user modifies at least one original term in the current term base, so that the electrocardiograph can obtain a first term to be learned obtained by modifying the original term in the current term base by the user. Further, in order to ensure the accuracy of machine learning, the electrocardiograph may obtain reference information of the first term to be learned in addition to the first term to be learned, and the reference information is used to indicate an original term corresponding to the first term to be learned, so as to ensure that the server can subsequently learn the first term to be learned modified from the same original term. Specifically, the reference information may be an original term corresponding to the first term to be learned, or identification information, such as a number, of the original term corresponding to the first term to be learned, for example, for the original terms "sinus arrhythmia" and "sinus bradyarrhythmia," the original terms may be numbered 001 and 002, respectively, so that the server can determine the original term to which the first term to be learned belongs according to the identification information, and learn the first term to be learned obtained by modifying the same original term. When other original terms are contained in the current term library, the analogy can be performed, and no one example is given here.

In another specific implementation scenario, the modification of the current term base by the user may further include: the term is newly added to the current term base by the user, so that the electrocardiograph can acquire a second term to be learned newly added to the current term base by the user, specifically, the second term to be learned may be added by the user based on the acquired new business term, or may be added by the user based on the fact that the user lacks a corresponding term in the current term base, which is not limited herein. In addition, the electrocardiograph can perform semantic analysis on the second term to be learned to obtain a semantic result of the second term to be learned, so that the server can search the second term to be learned with the similarity of the semantic result larger than a similarity threshold value, and perform machine learning based on the searched second term to be learned. For example, the server receives the second to-be-learned term "suspected atrial hypertrophy", "atrial hypertrophy may be present", "atrial may be larger", and the second to-be-learned term "myocardial infarction" with a semantic result of "myocardial infarction", the server performs machine learning based on the semantic results of the second to-be-learned term "suspected atrial hypertrophy", "atrial hypertrophy may be present", "atrial may be larger", and the semantic results of the second to-be-learned term "myocardial infarction", "atrial hypertrophy may be present", "atrial may be larger", and performs machine learning based on the semantic results of the second to-be-learned term "myocardial infarction", "myocardial infarction may be present", and the term "myocardial infarction" may be based on the semantic results of the second to-be-learned term "myocardial infarction", "myocardial infarction" may be present The "suspected myocardial infarction" is subjected to machine learning. In addition, the electrocardiograph can also directly send the second terms to be learned to the server, the server performs semantic analysis on the received second terms to be learned to obtain a semantic result of each second term to be learned, searches the second terms to be learned with the semantic result similarity larger than a similarity threshold, and performs machine learning based on the searched second terms to be learned.

In an implementation scenario, in order to facilitate the interaction between the user and the electrocardiograph to obtain the term to be learned input by the user, the electrocardiograph may be provided with a touch display screen, so that the user can use the term to be learned through touching the touch display screen, and the specific structure of the electrocardiograph is not repeated herein. In a specific implementation scenario, the electrocardiograph may generate a term modification instruction for the current term base in response to a preset touch operation of the electrocardiograph by the user, so as to display the term input box and obtain the term to be learned input in the term input box by the user. The preset touch operation may include, but is not limited to: double-click touch, long-press touch, and click touch. For example, a user can long press an original term on a display interface, the electrocardiograph generates a corresponding term modification instruction in response to the long press operation of the user, so that a term input box and a virtual keyboard are displayed, and the user can input a first term to be learned in the input box through the virtual keyboard displayed on the display interface; or, the user may also click the "new term" option on the display interface, and the electrocardiograph displays the term input box and the virtual keyboard in response to the click operation of the user on the "new term" option, so that the user inputs the second term to be learned. In addition, the electrocardiograph can be connected with peripheral equipment such as a mouse and a keyboard, so that the electrocardiograph can receive a term selection instruction input by a user through the peripheral equipment (such as the mouse) to select a term to be modified, and further receive a first term to be learned input by the user through the peripheral equipment (such as the keyboard) to modify the current term base. Alternatively, the electrocardiograph may further integrate a voice recognition function, so that the electrocardiograph may receive voice information input by a user and parse the voice information to obtain an original term that needs to be modified and a first term to be learned, or obtain a second term to be learned that needs to be added newly, for example, a user voice input "modifies the term that the patient has bradycardia to be suspected of having bradycardia", the electrocardiograph obtains the term that needs to be modified as "patient has bradycardia" and corrects the term that the patient is suspected of having bradycardia by parsing the voice information, and when the voice information is other information, the above-mentioned problems may be used, which is not illustrated here.

Step S12: and sending the term information to be learned to a server.

In one implementation scenario, in order to reduce the processing load of the server, when the original term is modified into the first term to be learned, the electrocardiograph may further count the correction frequency of the original term corresponding to the first term to be learned modified by the user before sending the term information to be learned to the server, and if the correction frequency is higher than a preset frequency threshold (e.g., 5 times a week, 6 times a week), send the term information to be learned to the server is performed. For example, when the original term "sinus arrhythmia" is repeatedly modified in the week and is modified to the first term to be learned "suspected sinus arrhythmia" 7 times in the week, since the correction frequency of the corresponding original term "sinus arrhythmia" is higher than the preset frequency threshold (6 times a week), the term to be learned information can be sent to the server.

In another implementation scenario, in order to reduce the processing load of the server and improve the processing efficiency of the server, the electrocardiograph may further store the term information to be learned after obtaining the term information to be learned, and send the term information to be learned stored in a preset time interval to the server after the preset time interval (e.g., one week, half month, etc.). Furthermore, the electrocardiograph can also count the use frequency of each original term in the current term base in the use process, judge whether the use frequency of the modified original term is greater than a preset use frequency threshold value, if so, send the term information to be learned corresponding to the modified original term to the server, otherwise, store the term information to be learned corresponding to the modified original term and send the term information to the server after a preset time interval, thereby reducing the processing load of the server on the basis of perceiving the modification of the common terms in time.

In another implementation scenario, in order to reduce the processing load of the server, after the electrocardiograph acquires the term information to be learned, the electrocardiograph may further receive a modification reason input by the user when modifying the current term base, and when the modification reason is included in the preset modification reason set, send the term information to be learned to the server, and when the modification reason is not included in the preset modification reason set, not send the term information to be learned to the server. The preset modification reason set may be set according to actual situations, for example, when the preset modification reason set includes: the term is not strict, the term is wrong, and the electrocardiograph does not send the term information to be learned when the modification reason of the user input is that the term does not accord with the personal use habit. In a specific implementation scenario, the electrocardiograph may output a modification reason selection box, and a plurality of preset modification reasons are set in the modification reason selection box for a user to select, and the electrocardiograph may receive selection information of the preset modification reasons from the user to obtain the modification reasons of the user, so that the user can input the modification reasons conveniently.

In addition, in order to facilitate the follow-up tracing of the user for modifying the current term base, the possibility that other irrelevant people modify the current term base is eliminated as far as possible, so that the modification safety of the current term base is improved, before the term information to be learned is sent to the server, the electrocardiograph can further display a signature input area based on the detection of a confirmation modification instruction input by the user, generate a signature track in response to the movement track of the user in the signature input area and display the signature track in the signature input area, so that the signature track is identified to obtain signature content based on the detection of the confirmation signature instruction input by the user, and then when the signature content is determined to be matched with the current login account, the signature track is stored as the confirmation modification signature of the user, and the step of sending the term information to be learned to the server is executed. For example, the current login account of the electrocardiograph is "zhangsan", the signature input area is displayed after the user inputs the confirmation modification instruction, the signature track is identified after the confirmation signature instruction input by the user is detected, the signature content is obtained, when the signature content is matched with the current login account of "zhangsan", the user who modifies the current term base can be considered as "zhangsan", and the signature track is stored as the confirmation modification signature of the user, so that the follow-up tracing can be realized. In a specific implementation scenario, in order to further improve the security of modifying the current term base and ensure the consistency between the current login account and the user who modifies the term, a signature track of the user who has the term modification authority may be pre-stored in the electrocardiograph, so that after the signature track is generated and displayed in the signature input area, the generated signature track may be compared with the pre-stored signature track, and if the comparison is successful, it is indicated that the user who modifies the term is the user who has the term modification authority, on the basis, the signature track is identified to obtain the signature content, and the signature content is matched with the current login account, so that the user who modifies the term is the user who has the term modification authority and is matched with the current login account. Or after the signature content is determined to be matched with the current login account, comparing the generated signature track with a pre-stored signature track, and if the comparison is successful, indicating that the user who modifies the term is the user who has the term modification authority and is matched with the current login account. The embodiment is not particularly limited herein. In another specific implementation scenario, if the user who modifies the term does not have the term modification right, the electrocardiograph may further send the acquired term information to be learned to a terminal (e.g., a mobile phone, a tablet computer, or a microcomputer) of a higher-level account (e.g., an account of an attending physician) of the currently logged-in account (e.g., an account of a hospitalized doctor) first, and receive reply information sent by the terminal of the higher-level account, the electrocardiograph may parse the reply information, and when the parsing result indicates that the modification is approved, execute the step of sending the term information to be learned to the server, and when the parsing result indicates that the modification is not approved, not execute the step of sending the term information to be learned to the server.

Step S13: and receiving term data to be updated, which is obtained by the server performing machine learning on the collected information of the plurality of terms to be learned.

In this embodiment, Machine Learning (ML) may include, but is not limited to: supervised learning, unsupervised learning, reinforcement learning. Specifically, in order to learn the intrinsic rules and the representation levels of the correction terms, the server may further perform Deep Learning (DL) on the correction terms to obtain term data to be updated, where Deep Learning is a generic term of a type of pattern analysis method and may include: a neural network based on convolution operation (i.e., a convolutional neural network), a self-coding neural network based on multi-layer neurons, and a Deep Belief Network (DBN), which are not limited herein.

In one implementation scenario, the server may send the term data to be updated to the electrocardiograph after detecting that the electrocardiograph is in a communication connection therewith. In another implementation scenario, the server may also send the term data to be updated to the electrocardiograph for a preset time period, and in order to reduce the influence of term update on the normal use of the electrocardiograph as much as possible, the preset time period may be set to be within half an hour before next shift (e.g., five o 'clock and half to six o' clock in the next shift), or within half an hour after work (e.g., eight o 'clock and half eight o' clock in the morning), which is not exemplified here.

In addition, in a specific implementation scenario, the electrocardiograph itself has a certain processing capability, so that machine learning can be performed based on the term information to be learned, and the machine learning result is fed back to the server, and the server analyzes the machine learning result, obtains term data to be updated, and sends the term data to be updated to the electrocardiograph connected with the server.

Step S14: and updating the current term library based on the term data to be updated.

In one implementation scenario, the term data to be updated includes at least one first term to be updated, and when updating, the electrocardiograph may directly add the first term to be updated to the current term base, so as to implement incremental updating on the current term base. Or, in order to implement the coverage update of the current term base, it may be further determined whether the first term to be updated corresponds to the original term in the current term base, if so, the corresponding original term in the current term base is replaced with the first term to be updated, and in addition, in a specific implementation scenario, if the first term to be updated does not correspond to the original term in the current term base, the first term to be updated may be added to the current term base. In a specific implementation scenario, in order to facilitate the user to select the term update mode, before the electrocardiograph updates the current term base based on the term data to be updated, the electrocardiograph may output an update mode selection box for the user to select to update in the coverage update mode or update in the replacement update mode, if the user selects to update in the coverage update mode, the electrocardiograph may directly add the first term to be updated in the term data to be updated to the current term base, if the user selects to update in the replacement update mode, the electrocardiograph may determine whether the first term to be updated corresponds to the original term in the current term base, if so, the corresponding original term in the current term base is replaced by the first term to be updated, otherwise, the first term to be updated may be added to the current term base.

In another implementation scenario, the term data to be updated is the term library to be updated, so that the current term library can be directly replaced by the term library to be updated. In a specific implementation scenario, the term base to be updated may include term base version information, so that the user can view the version of the term base. Or, the server can also save the term library to be updated of each version, the electrocardiograph can also save the term library version information, and after the electrocardiograph recovers the factory setting, the term library acquisition request is sent to the server, wherein, the term library acquisition request can contain the term library version information saved by the electrocardiograph, so that the server analyzes the term library acquisition request, after the term library version information is acquired, the term library to be updated matched with the term library version information is sent to the electrocardiograph, and after the electrocardiograph receives the term library to be updated, the execution replaces the current term library with the term library to be updated.

In another implementation scenario, after receiving the term data to be updated, the electrocardiograph may output an update confirmation box for the user to select whether to update, and when the user selects to update, the electrocardiograph may perform updating of the current term base based on the term data to be updated, and when the user selects not to update, the electrocardiograph may further continue to output an update time selection box for the user to select an update time period, and during the update time period selected by the user, perform updating of the current term base based on the term data to be updated. In a specific implementation scenario, in order to provide a reference for a user to select whether to perform an update, before updating the current term base, the electrocardiograph may first obtain an update directory of term data to be updated, where the update directory may include an original term to be updated in the current term base and an update term corresponding to the original term, and thus the update directory is displayed in the update confirmation box so that the user can check whether to perform the update when selecting. The update directory may be obtained by parsing the term data to be updated by the electrocardiograph, or the update directory may be sent by the server together with the term data to be updated, which is not limited herein. In another specific implementation scenario, in order to ensure the security of term updating, after the user selects to update, the electrocardiograph may further output an update password input box for the user to input a password, and may determine whether the password input by the user is consistent with a pre-stored password, and if so, perform updating of the current term base based on the update term data, otherwise, the electrocardiograph may prompt that the password is wrong, so as to prevent the electrocardiograph from being misoperated by an unrelated person.

In yet another implementation scenario, in order to enable the electrocardiograph to follow the industry term dynamically, the server may further generate and transmit a second term to be updated based on the search for the new industry term, so that the electrocardiograph receives the second term to be updated transmitted by the server and adds the second term to be updated to the current term base.

In another implementation scenario, in order to avoid missing term updates from the electrocardiograph or repeatedly updating the same term as much as possible, after updating the current term library based on the term data to be updated, an update success message may be sent to the server, and at least a device code (e.g., a device serial number) of the electrocardiograph is included in the update success message, so that the server can avoid missing or repeatedly sending the term data to be updated as much as possible when sending the term data to be updated.

Referring to fig. 2, fig. 2 is a schematic flow chart diagram illustrating another embodiment of the term updating method of the present application. Specifically, the method may include the steps of:

step S21: and sending the acquired electrocardiogram data to a doctor terminal.

In this embodiment, the person acquiring the electrocardiographic data may not have accurate analysis capability, or the person acquiring the electrocardiographic data may not have an analysis right, or the person acquiring the electrocardiographic data may send the acquired electrocardiographic data to the doctor terminal through the electrocardiograph for analysis due to other reasons such as caution. In one implementation scenario, the doctor terminal may be a doctor's management terminal, such as: microcomputer, etc. and may also be a doctor's mobile terminal, such as: tablet computers, smart phones, etc., and the embodiment is not limited herein.

Step S22: and receiving an analysis result of the electrocardiogram data sent by the doctor terminal, and reading doctor terms in the analysis result.

In this embodiment, the doctor can analyze the received electrocardiographic data and send the analysis result to the electrocardiograph through the doctor terminal, so that the electrocardiograph can read the doctor term in the analysis result.

Step S23: the physician's terms in the analysis result are compared with the original terms in the current term library.

When analyzing the electrocardiogram data, the physician may directly use the original terms in the current term library, where the physician term is consistent with the original terms, or the physician may adjust the original terms according to the actual situation, where the physician term is inconsistent with the original terms, which is not specifically limited herein.

Step S24: and if the doctor terms are inconsistent with the original terms, taking the doctor terms as the first to-be-learned terms corresponding to the original terms.

If the doctor term is inconsistent with the original term, the doctor does not directly adopt the original term as an analysis result, so that the doctor term can be used as the first term to be learned corresponding to the original term. In one implementation scenario, in order to clarify the original term corresponding to the first term to be learned as far as possible, when the analysis result is sent by the doctor terminal, the original term corresponding to the doctor term may be grouped with the doctor term together as the analysis result and sent, so that when the electrocardiograph reads the analysis result, the original term corresponding to the doctor term can be read, and if the two are not consistent, the doctor term is used as the first term to be learned corresponding to the original term, so that the first term to be learned and the reference information group representing the original term corresponding to the first term to be learned are subsequently sent to the server as term information to be learned.

Step S25: and sending the term information to be learned to a server.

In this embodiment, the term information to be learned includes the first term to be learned and the reference information for indicating the original term corresponding to the first term to be learned, and refer to step S13 in the above embodiment.

Step S26: and receiving term data to be updated, which is obtained by the server performing machine learning on the collected information of the plurality of terms to be learned.

Please refer to step S14 in the above embodiment.

Step S27: and updating the current term library based on the term data to be updated.

Please refer to step S15 in the above embodiment.

According to the scheme, the acquired electrocardiogram data are sent to the doctor terminal, so that the analysis result of the electrocardiogram data sent by the doctor terminal is received, doctor terms in the analysis result are read, the doctor terms in the analysis result are compared with the original terms in the current term base, if the doctor terms are inconsistent with the original terms, the doctor terms are used as first to-be-learned terms corresponding to the original terms, the to-be-learned term information is sent to the server, the to-be-updated term data obtained by the server through machine learning of a plurality of collected to-be-learned term information are received, the current term base is updated based on the to-be-updated term data, and therefore the electrocardiogram machine can update the current term base based on the analysis result of the doctor, further can expand the use scene of the electrocardiogram machine for term updating, and expand the application range of the electrocardiogram machine, furthermore, term updates can be made timely and efficiently.

Fig. 3 is a block diagram of an embodiment of the term updating device 30 of the present application. The term updating device 30 includes an obtaining module 31, a sending module 32, a receiving module 33 and an updating module 34, where the obtaining module 31 is configured to obtain term information to be learned, where the term information to be learned at least includes a term to be learned obtained by modifying a current term base by a user; the sending module 32 is used for sending the term information to be learned to the server; the receiving module 33 is configured to receive term data to be updated, which is obtained by performing machine learning on the collected information of the plurality of terms to be learned by the server; the update module 34 is used for updating the current term base based on the term data to be updated.

According to the scheme, the electrocardiograph obtains the term information to be learned, the term information to be learned at least comprises terms to be learned obtained by modifying a current term base by a user, the term information to be learned is sent to the server, term data to be updated obtained by machine learning of a plurality of collected term information to be learned by the server are received, the current term base is updated based on the term data to be updated, and the user can modify the current term base based on self needs, so that the timeliness of term updating can be improved; secondly, the electrocardiograph connected with the server can update the current term base based on the machine learning result of a plurality of collected term information to be learned obtained by the server, so that the electrocardiograph connected with the server can update terms, the term updating efficiency can be improved, and term updating can be timely and efficiently performed.

In some embodiments, the obtaining module 31 includes a first obtaining sub-module, configured to obtain a first term to be learned and reference information of the first term to be learned, where the first term to be learned is obtained by modifying an original term in a current term base by a user, and the reference information is used to indicate the original term corresponding to the first term to be learned.

In some embodiments, the obtaining module 31 further includes a second obtaining sub-module, configured to obtain a second term to be learned newly added to the current term base by the user, or obtain the second term to be learned and perform semantic analysis on the second term to be learned to obtain a semantic result of the second term to be learned.

In some embodiments, the term updating apparatus 30 further includes a statistics module for counting a correction frequency of the original term modified by the user corresponding to the first term to be learned, and the sending module 32 is configured to send the term information to be learned to the server when the correction frequency is higher than a preset frequency threshold.

In some embodiments, the sending module 32 is further configured to send the acquired electrocardiographic data to a doctor terminal, the obtaining module 31 includes a result receiving submodule configured to receive an analysis result of the electrocardiographic data sent by the doctor terminal, the obtaining module 31 includes a result reading submodule configured to read a doctor term in the analysis result, and the obtaining module 31 includes a consistency determining submodule configured to take the doctor term as a first term to be learned corresponding to an original term when the doctor term is inconsistent with the original term in the current term base.

Different from the foregoing embodiment, the acquired electrocardiographic data is sent to the doctor terminal, so that an analysis result of the electrocardiographic data sent by the doctor terminal is received, a doctor term in the analysis result is read, the doctor term in the analysis result is compared with an original term in the current term library, if the doctor term is inconsistent with the original term, the doctor term is used as a first term to be learned corresponding to the original term, so that the electrocardiograph can update the current term library based on the analysis result of the doctor, further, a use scene of the electrocardiograph for term updating can be expanded, the application range of the electrocardiograph is expanded, and in addition, term updating can be performed timely and efficiently.

In some embodiments, the updating module 34 is specifically configured to, when the term data to be updated includes at least one term to be updated, directly add the first term to be updated to the current term base, and the updating module 34 is further specifically configured to determine whether the first term to be updated corresponds to the original term, if so, replace the corresponding original term in the current term base with the first term to be updated, and if not, add the first term to be updated to the current term base.

In some embodiments, the term data to be updated is a term library to be updated, and the updating module 34 is further specifically configured to replace the current term library with the term library to be updated.

In some embodiments, the receiving module 33 is further configured to receive a second term to be updated sent by the server, and add the second term to be updated to the current term base; wherein the second term to be updated is generated by the server based on the searched new industry term.

In some embodiments, the obtaining module 31 includes an instruction generating sub-module configured to generate a term modification instruction for the current term base in response to a preset touch operation of a user on the electrocardiograph, and the obtaining module 31 further includes a term obtaining sub-module configured to display a term input box and obtain a term to be learned input in the term input box by the user.

In some embodiments, the sending module 32 is further specifically configured to send an update success message to the server, wherein the update success message includes at least the device code of the electrocardiograph.

In some embodiments, the term updating apparatus 30 further includes a display module for displaying a signature input area based on detecting a confirmation modification instruction input by a user, the term updating apparatus 30 further includes a generation module for generating a signature track in response to a movement track of the user in the signature input area, the display module is further for displaying the signature track in the signature input area, the term updating apparatus 30 further includes an identification module for identifying the signature track based on detecting the confirmation signature instruction input by the user to obtain signature content, the term updating apparatus 30 further includes a confirmation module for saving the signature track as a confirmation modification signature of the user when determining that the signature content matches with the current login account, and the transmission of the term information to be learned to the server is performed in conjunction with the transmission module 32.

Referring to FIG. 4, FIG. 4 is a block diagram of an embodiment of the term update apparatus 40 of the present application. The term updating apparatus 40 includes a processor 41, a memory 42, a communication circuit 43 and a human-computer interaction circuit 44, the processor 41 is coupled to the memory 42, the communication circuit 43 and the human-computer interaction circuit 44, respectively, and the processor 41, the memory 42, the communication circuit 43 and the human-computer interaction circuit 44 are operable to implement the steps in any of the above-described embodiments of the term updating method. In some embodiments, the term updating device 40 may be an electrocardiograph, and specifically, the electrocardiograph may include a printing component and the like as needed, in addition to the above components, and is not limited herein.

In particular, the processor 41 is arranged to control itself, as well as the memory 42, the communication circuitry 43 and the human interaction circuitry 44 to implement the steps in any of the above-described embodiments of the updating method. Processor 41 may also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip having signal processing capabilities. The Processor 41 may also be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, processor 41 may be implemented collectively by a plurality of integrated circuit chips.

In this embodiment, the processor 41 is configured to control the human-computer interaction circuit 44 to obtain term information to be learned, where the term information to be learned at least includes a term to be learned obtained by modifying a current term base by a user, the processor 41 is configured to control the communication circuit 43 to send the term information to be learned to a server, the processor 41 is configured to control the communication circuit 43 to receive term data to be updated obtained by performing machine learning on a plurality of collected term information to be learned by the server, and the processor 41 is configured to control the memory 42 to update the current term base based on the term data to be updated.

According to the scheme, the electrocardiograph obtains the term information to be learned, the term information to be learned at least comprises terms to be learned obtained by modifying the current term base by a user, the term information to be learned is sent to the server, the term data to be updated obtained by the server through machine learning of a plurality of collected term information to be learned is received, the current term base is updated based on the term data to be updated, and the user can modify the current term base based on self needs, so that the timeliness of term updating can be improved; secondly, the electrocardiograph connected with the server can update the current term base based on the machine learning result of a plurality of collected term information to be learned obtained by the server, so that the electrocardiograph connected with the server can update terms, the term updating efficiency can be improved, and term updating can be timely and efficiently performed.

In some embodiments, the processor 41 is configured to control the human-computer interaction circuit 44 to obtain a first term to be learned and reference information of the first term to be learned, which are obtained by modifying an original term in a current term base by a user, where the reference information is used to indicate the original term to which the first term to be learned corresponds.

In some embodiments, the processor 41 is configured to control the human-computer interaction circuit 44 to obtain a second term to be learned newly added in the current term base by the user, or the processor 41 is configured to control the human-computer interaction circuit 44 to obtain the second term to be learned and perform semantic analysis on the second term to be learned to obtain a semantic result of the second term to be learned.

In some embodiments, the term to be learned is a first term to be learned, the processor 41 is configured to count a correction frequency of an original term corresponding to the first term to be learned modified by a user, and the processor 41 is configured to control the communication circuit 43 to send the term to be learned information to the server when the correction frequency is higher than a preset frequency threshold.

In some embodiments, the term to be learned includes a first term to be learned, the processor 41 is configured to control the communication circuit 43 to transmit the acquired electrocardiographic data to the doctor terminal, the processor 41 is configured to control the communication circuit 43 to receive an analysis result of the electrocardiographic data transmitted by the doctor terminal and read a doctor term in the analysis result, the processor 41 is configured to compare the doctor term in the analysis result with an original term in a current term base, and the processor 41 is configured to take the doctor term as the first term to be learned corresponding to the original term when there is a disagreement between the doctor term and the original term.

Different from the foregoing embodiment, the acquired electrocardiographic data is sent to the doctor terminal, so that an analysis result of the electrocardiographic data sent by the doctor terminal is subsequently received, a doctor term in the analysis result is read, the doctor term in the analysis result is compared with an original term in the current term library, if the doctor term is inconsistent with the original term, the doctor term is used as a first term to be learned corresponding to the original term, and the electrocardiograph can update the current term library based on the analysis result of the doctor, so that a use scene of the electrocardiograph for term updating can be expanded, the application range of the electrocardiograph is expanded, and in addition, term updating can be timely and efficiently performed.

In some embodiments, the processor 41 is further configured to directly add the first term to be updated to the current term base when the term data to be updated includes at least one first term to be updated, and the processor 41 is further configured to determine whether the first term to be updated corresponds to the original term in the current term base, if so, the processor 41 is configured to control the memory 42 to replace the original term in the current term base with the first term to be updated, otherwise, the processor 41 is configured to control the memory 42 to add the first term to be updated to the current term base.

In some embodiments, the term data to be updated is a term library to be updated, and the processor 41 is configured to control the memory 42 to replace the term library with the term library to be updated.

In some embodiments, the processor 41 is configured to control the communication circuit 43 to receive a second term to be updated sent by the server, and control the memory 42 to add the second term to be updated to the current term base, where the second term to be updated is generated by the server based on the searched new business term.

In some embodiments, the processor 41 is configured to generate a term modification instruction for the current term base in response to a preset touch operation of the electrocardiograph by the user, the processor 41 is configured to control the human-computer interaction circuit 44 to display the term input box and obtain a term to be learned input in the term input box by the user, and the processor 41 is configured to control the communication circuit 43 to send an update success message to the server, where the update success message at least includes a device code of the electrocardiograph.

In some embodiments, the processor 41 is configured to control the human-computer interaction circuit 44 to display the signature input area based on detecting a confirmation modification instruction input by the user, the processor 41 is configured to control the human-computer interaction circuit 44 to generate a signature track in response to a movement track of the user in the signature input area and display the signature track in the signature input area, the processor 41 is configured to identify the signature track to obtain signature content based on detecting the confirmation signature instruction input by the user, the processor 41 is configured to control the memory 42 to save the signature track as a confirmation modification signature of the user when the signature content is determined to be matched with the current login account, and the communication circuit 43 is configured to execute sending the term information to be learned to the server.

Referring to fig. 5, fig. 5 is an exploded view of an embodiment of an electrocardiograph. As shown in fig. 5, the electrocardiograph includes a host 10, the host 10 includes a housing 11 and a display 12 embedded in the housing 11, the host 11 may include the processor, the memory, and the communication circuit shown in fig. 4 for communicating with external devices, wherein the communication circuit may include at least one of: wifi communication circuit, bluetooth communication circuit, cellular mobile communication circuit, etc.

In one implementation, the display 12 is a touch screen, so that a user can interact with the electrocardiograph by touching the display 12. For example, a data acquisition icon is displayed on a display interface of a touch display screen of the electrocardiograph, and when a touch signal of a user to the data acquisition icon is detected, electrocardiograph data acquisition is executed. The electrocardiograph can also utilize the touch display screen to realize the interactive operation with the user in any embodiment.

The housing 11 includes a first side 111 and a second side 112 opposite to each other, the first side 111 is used for connecting with a peripheral device, and in an implementation scenario, the peripheral device may include any one of the handle 20 and the printing assembly 30. In a specific implementation scenario, when the peripheral device is connected to the first side portion 111, the second side portion 112 and the peripheral device are simultaneously abutted against the supporting surface, so that a predetermined angle is formed between the plane where the display screen 12 is located and the supporting surface, so as to facilitate a user to observe an interface displayed on the display screen 12, or to touch the display screen 12, where the predetermined angle may be set to 30 degrees, 35 degrees, and the like, and the embodiment is not limited herein.

In addition, in order to conveniently and quickly realize the connection between the host computer 10 and the peripheral device, connectors matched with each other may be further provided on the host computer 10 and the peripheral device. It includes handle 20 to exemplify to add the device outward, and constant head tank 113 has all been seted up to host computer 10 near the both sides of first side 111, and handle 20 includes the first location arm 21 of two relative settings, and first location arm 21 matches each other with constant head tank 113 to can insert constant head tank 113 with first location arm 21, realize dismantling between host computer 10 and the handle 20 and be connected. In an implementation scenario, the first side portion 111 may further be provided with a plurality of clamping holes (not shown), the handle 20 further includes a first mounting portion 22 disposed between the two first positioning arms 21, and the first mounting portion 22 is provided with a first clamping column 221 matched with the clamping holes. In one implementation scenario, in order to facilitate the user to carry the host 10 through the handle 20, the handle 20 further includes a handle 23, and the handle 23, the two first positioning arms 21 and the first mounting portion 22 enclose and form a through slot 24 for the user to hold, so that the user can conveniently carry the host 10. Alternatively, when the peripheral device includes the printing assembly 30, the printing assembly 30 may include two oppositely disposed second positioning arms 31, similar to the handle 20, and the second positioning arms 31 and the positioning slots 113 are matched with each other, so that the second positioning arms 31 can be inserted into the positioning slots 113 to realize the detachable connection between the host computer 10 and the printing assembly 30. In one implementation scenario, the printing assembly 30 further includes a second mounting portion 32 disposed between the two second positioning arms 31, and the second mounting portion 32 is provided with a second clamping column 321 matching with the clamping hole.

In addition, the main body 10 further includes a first collecting interface 114, a second collecting interface 115, and a switch button 116 disposed on the housing 11, and the second side portion 112 further has a sound hole 1121, and a scanning head 1122 for scanning a barcode. In addition, the host 10 may further include at least one of a power adapter interface, an ethernet interface, a USB (Universal Serial Bus) interface, a SD (Secure Digital) memory card slot, a SIM (Subscriber identity Module) card slot, and an NFC (Near Field Communication) recognizer.

In addition, the Operating System (OS) of the host 10 may be based on Linux, Windows, or the like, and the embodiment is not particularly limited herein.

The handle 20 and the printing assembly 30 can be configured according to actual needs. For example, for a scene that is frequently carried and used outdoors, the handle 20 and the printing component 30 may be additionally reconfigured on the basis of the host 10, and for a scene that is used inside a hospital, the printing component 30 may be additionally reconfigured on the basis of the host 10, or when the host 10 is connected to an external printing device through a network, the printing component 30 may not be additionally configured, which is not illustrated herein.

It can be understood that, the above-mentioned electrocardiograph may further optionally be provided with a camera component for capturing images or videos and cooperating with the communication circuit to realize video interaction with the remote end, a GPS positioning set for acquiring the position of the electrocardiograph, and a biometric component for capturing biometric features of the user (e.g. a fingerprint capturing component for capturing fingerprints, a camera component for capturing pupils, etc.).

Referring to fig. 6, fig. 6 is a schematic diagram of a memory device 60 according to an embodiment of the present application. The memory device 60 stores program instructions 601 capable of being executed by the processor, the program instructions 601 being for implementing the steps in any of the above-described embodiments of the update method.

According to the scheme, firstly, a user can modify the original terms in the current term base based on own needs, so that the timeliness of term updating can be improved; secondly, the electrocardiograph connected with the server can update the current term base based on the machine learning result of a plurality of collected term information to be learned obtained by the server, so that the electrocardiograph connected with the server can update terms, the term updating efficiency can be improved, and term updating can be timely and efficiently performed.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Claims

1. A method for updating terms, comprising:

the method comprises the steps that an electrocardiograph acquires term information to be learned, wherein the term information to be learned at least comprises terms to be learned obtained by modifying a current term base by a user;

sending the term information to be learned to a server;

receiving term data to be updated, which is obtained by the server through machine learning on the collected information of the plurality of terms to be learned;

and updating the current term base based on the term data to be updated.

2. The term updating method according to claim 1, wherein the acquiring term information to be learned includes:

acquiring a first term to be learned obtained by modifying an original term in the current term base by a user and reference information of the first term to be learned, wherein the reference information is used for representing the original term corresponding to the first term to be learned; and/or the presence of a gas in the gas,

and acquiring a second term to be learned newly added in the current term base by the user, or acquiring the second term to be learned and carrying out semantic analysis on the second term to be learned to obtain a semantic result of the second term to be learned.

3. The term updating method according to claim 2, characterized in that when the term to be learned is a first term to be learned;

before the sending the term information to be learned to a server, the method further comprises:

counting the correction frequency of the original term corresponding to the first term to be learned, which is modified by a user;

and if the correction frequency is higher than a preset frequency threshold, executing the step of sending the term information to be learned to a server.

4. The term updating method according to claim 2, characterized in that when the term to be learned is a first term to be learned;

before the obtaining of the term information to be learned, the method further includes:

sending the acquired electrocardiogram data to a doctor terminal;

the acquiring the term information to be learned includes:

receiving an analysis result of the electrocardiogram data sent by the doctor terminal, and reading doctor terms in the analysis result;

comparing the doctor terms in the analysis result with the original terms in the current term library;

and if the doctor term is inconsistent with the original term, taking the doctor term as a first term to be learned corresponding to the original term.

5. The term updating method according to claim 1, wherein the updating the current term base based on the term data to be updated includes:

when the term data to be updated comprises at least one first term to be updated, directly adding the first term to be updated to the current term library; or, judging whether the first term to be updated corresponds to an original term in the current term base, if so, replacing the corresponding original term in the current term base with the first term to be updated, otherwise, adding the first term to be updated to the current term base;

and when the term data to be updated is the term base to be updated, replacing the current term base with the term base to be updated.

6. The term update method as claimed in claim 1, wherein the method further comprises:

receiving a second term to be updated sent by the server, and adding the second term to be updated to the current term base;

wherein the second term to be updated is generated by the server based on the searched new industry term.

7. The term updating method according to claim 1, wherein the acquiring term information to be learned includes:

responding to preset touch operation of a user on the electrocardiograph, and generating a term modification instruction for the current term library;

displaying a term input box and acquiring a term to be learned input in the term input box by a user;

after updating the current term base based on the term data to be updated, the method further includes:

sending an update success message to the server, wherein the update success message includes at least a device code of the electrocardiograph.

8. The term updating method according to claim 7, wherein after the displaying of the term input box and the acquisition of the term to be learned input by the user in the term input box, and before the sending of the term information to be learned to a server, the method further comprises:

displaying a signature input area based on detecting a confirmation modification instruction input by a user;

responding to the movement track of the user in the signature input area, generating a signature track and displaying the signature track in the signature input area;

based on the detected signature confirmation instruction input by the user, identifying the signature track to obtain signature content;

and when the signature content is determined to be matched with the current login account, storing the signature track as a confirmation modification signature of the user, and executing the step of sending the term information to be learned to a server.

9. A term updating apparatus, comprising:

the acquisition module is used for acquiring term information to be learned, wherein the term information to be learned at least comprises terms to be learned obtained by modifying a current term base by a user;

the sending module is used for sending the term information to be learned to a server;

the receiving module is used for receiving the term data to be updated, which is obtained by the server through machine learning on the collected information of the plurality of terms to be learned;

and the updating module is used for updating the current term base based on the term data to be updated.

10. A technical language updating device is characterized by comprising a processor, a memory, a communication circuit and a human-computer interaction circuit, wherein the processor is respectively coupled with the memory, the communication circuit and the human-computer interaction circuit;

the processor, the memory, the communication circuit and the human-computer interaction circuit are operable to implement the term update method of any one of claims 1 to 8.

11. A storage device storing program instructions executable by a processor for implementing the term updating method as claimed in any one of claims 1 to 8.