Medical imaging equipment control method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a control method and device of medical imaging equipment, electronic equipment and a storage medium. The method comprises the steps that voice command information input by a user for the current medical imaging equipment is received; performing voice recognition on the voice command information to obtain corresponding semantic information; generating a control instruction according to the semantic information; and controlling the current medical image equipment to execute a corresponding response action based on the control instruction. Through the technical scheme of the embodiment of the invention, the purpose of controlling the medical imaging equipment through voice is achieved, and the intelligent degree of the medical imaging equipment is improved.

Description

A control method, device, electronic equipment, and storage medium for a medical imaging device.

[0001] This application is a divisional application of the invention patent application with application number 201910320327X, application date April 19, 2019, entitled "A control method, device, equipment and storage medium for a medical imaging device". Technical Field

[0002] The present invention relates to intelligent medical imaging equipment technology, and more particularly to a control method, device, electronic equipment and storage medium for medical imaging equipment. Background Technology

[0003] The operation and application of large medical imaging equipment (such as CT (Computed Tomography)) requires a certain level of expertise and necessitates specific qualifications for operators. Therefore, any problems encountered during the training and use of medical imaging equipment require corresponding professional support.

[0004] Currently, training for medical imaging equipment is mainly conducted through the following methods: one is through paper-based instruction manuals or electronic documents; another is through standardized training provided by specialized instructors. Meanwhile, problems encountered during the use of medical imaging equipment primarily rely on dedicated after-sales hotlines and professional after-sales support.

[0005] The problems with the above methods are as follows: Paper instruction manuals and electronic documents usually cover all the learning content for medical imaging equipment, which cannot effectively and specifically address the operator's current confusion. Operators need to search through the instruction manual or electronic document one by one, which is time-consuming and laborious. On the other hand, after-sales hotline consultation requires first clarifying the problem over the phone, which is also time-consuming and laborious. Then, they still have to wait to be transferred to the appropriate professional support personnel to receive guidance, which is inefficient and provides a poor user experience. For medical imaging equipment manufacturers, it is necessary to provide corresponding human resources to deal with various after-sales support issues, which wastes human resources costs. Summary of the Invention

[0006] This invention provides a control method, device, electronic device, and storage medium for medical imaging equipment, enabling voice control of the medical imaging equipment and improving its intelligence level.

[0007] In a first aspect, embodiments of the present invention provide a control method for a medical imaging device, the method comprising:

[0008] Receive voice commands from the user for the current medical imaging equipment;

[0009] The voice command information is subjected to speech recognition to obtain the corresponding semantic information;

[0010] Control instructions are generated based on the semantic information;

[0011] Based on the control commands, the current medical imaging equipment is controlled to perform corresponding response actions.

[0012] Secondly, embodiments of the present invention also provide a control device for a medical imaging device, the device comprising:

[0013] The receiving module is used to receive voice command information input by the user for the current medical imaging equipment;

[0014] The recognition module is used to perform speech recognition on the voice command information to obtain the corresponding semantic information;

[0015] The generation module is used to generate control instructions based on the semantic information;

[0016] The control module is used to control the current medical imaging device to perform corresponding response actions based on the control commands.

[0017] Thirdly, embodiments of the present invention also provide an electronic device, the device comprising:

[0018] One or more processing devices;

[0019] Storage device for storing one or more programs;

[0020] When the one or more programs are executed by the one or more processing devices, the one or more processing devices implement the control method for medical imaging equipment as described in any embodiment of the present invention.

[0021] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processing device, implements the control method for a medical imaging device as described in any embodiment of the present invention.

[0022] This invention provides a method for controlling a medical imaging device. By receiving voice command information input by a user for the current medical imaging device, performing voice recognition on the voice command information to obtain corresponding semantic information, generating control instructions based on the semantic information, and controlling the current medical imaging device to perform corresponding response actions based on the control instructions, this method achieves the purpose of controlling the medical imaging device through voice and improves the intelligence level of the medical imaging device. Attached Figure Description

[0023] Figure 1 is a schematic flowchart of a control method for a medical imaging device provided in Embodiment 1 of the present invention;

[0024] Figure 2 is a schematic flowchart of a control method for a medical imaging device provided in Embodiment 2 of the present invention;

[0025] Figure 3 is a schematic flowchart of a control method for a medical imaging device provided in Embodiment 3 of the present invention;

[0026] Figure 4 is a schematic diagram of the structure of a control device for a medical imaging device provided in Embodiment 4 of the present invention;

[0027] Figure 5 is a schematic diagram of the hardware structure of an electronic device provided in Embodiment 5 of the present invention. Detailed Implementation

[0028] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0029] In the following embodiments, each embodiment provides optional features and examples. The features described in the embodiments can be combined to form multiple optional solutions. Each numbered embodiment should not be regarded as only one technical solution.

[0030] Example 1

[0031] Figure 1 is a schematic flowchart of a control method for a medical imaging device according to Embodiment 1 of the present invention. This method is applicable to situations where the medical imaging device is automatically controlled via voice. The method can be executed by a control device for the medical imaging device, which may consist of software and / or hardware and is typically integrated into a terminal, typically including the medical imaging device or a server. Referring to Figure 1, the method specifically includes the following steps:

[0032] Step 110: Receive voice command information input by the user for the current medical imaging equipment.

[0033] The medical imaging equipment may specifically include CT (Computed Tomography), MRI (Magnetic Resonance Imaging), DR (Digital Radiography), or CR (Computed Radiography), etc. The voice command information refers to voice messages instructing the medical imaging equipment to perform specific tasks. For example, a user might say, "How do I use the VOI (Volume of Interest) function on the CT scanner?" or "Please print out the patient films that weren't printed yesterday," etc., as voice commands directed at the medical imaging equipment.

[0034] Specifically, voice commands input by the user can be received via the voice receiving module built into the medical imaging equipment. It is understood that this method of receiving voice commands requires improvements to the hardware structure of the medical imaging equipment to add corresponding voice receiving and voice recognition modules, which undoubtedly increases the cost of the medical imaging equipment. Considering the medical imaging equipment already in use on the market that lacks voice receiving and voice recognition modules, in order to achieve voice control of these medical imaging devices without voice receiving capabilities, the corresponding voice command information can be obtained through the following method:

[0035] This method receives voice commands input by the user to the medical imaging equipment via a voice receiving device associated with it. This voice receiving device is independent of the medical imaging equipment, maintains a communication connection with it, and is specifically designed for receiving and recognizing voice commands. This requires establishing a communication connection between the medical imaging equipment and the voice receiving device beforehand. When the voice receiving device receives a voice command, it performs voice recognition and sends the recognition result back to the medical imaging equipment. Most current medical imaging equipment has communication capabilities; therefore, this method of receiving voice commands does not require modifications to the existing hardware structure of the medical imaging equipment, thus solving the problem of increased costs associated with the first method described above.

[0036] Furthermore, multiple medical imaging devices can share a single voice receiving device. Specifically, a communication connection is established between each medical imaging device and the voice receiving device, and each medical imaging device is identified. When a user needs to input voice command information for the current medical imaging device, they need to simultaneously input voice information containing the identification information of the current medical imaging device. For example, the voice command information is "Xiao U, please print out the patient films that were not printed yesterday." When the voice receiving device receives and recognizes "Xiao U," it sends the recognition result of the current voice command information to the corresponding medical imaging device associated with "Xiao U," such as a CT scanner. If the voice command information is "Xiao V, please print out the patient films that were not printed yesterday," when the voice receiving device receives and recognizes "Xiao V," it sends the recognition result of the current voice command information to the corresponding medical imaging device associated with "Xiao V," such as a DR machine. In this way, the cost of the entire intelligent medical imaging system can be greatly reduced.

[0037] Step 120: Perform speech recognition on the voice command information to obtain the corresponding semantic information.

[0038] For example, speech recognition is performed on the voice command information to obtain the corresponding semantic information, including:

[0039] Based on the voice command information, the corresponding acoustic features are extracted;

[0040] Based on the acoustic features, combined with a preset acoustic model and a language model, the semantic information corresponding to the voice command information is obtained;

[0041] The language model is trained on corpora associated with medical imaging equipment to improve the accuracy and efficiency of speech recognition. The corpora associated with medical imaging equipment include, for example, terms such as CT, MRI, DR, CR, printed film, image reconstruction, multiplanar reconstruction, tomography, patient, chest, brain, and abdomen. This corpus can be obtained from a specialized corpus database. Specifically, the acoustic features include MFCC (Mel-scale Frequency Cepstral Coefficients) and pitch features. These acoustic features can be extracted based on the speech command information using specific algorithms; for example, pitch features can be extracted using the YIN algorithm. The preset acoustic model is trained on a speech database, and the language model is trained on a text corpus database.

[0042] Step 130: Generate control instructions based on the semantic information.

[0043] Specifically, when the voice command information is a question about how to use medical imaging equipment, control instructions are generated based on the semantic information, including:

[0044] Semantic keywords are extracted based on the semantic information;

[0045] Based on the semantic keywords, a matching voice file is retrieved from a preset database, and control instructions for playing the voice file are generated, wherein the voice file is used to answer the question command information.

[0046] For example, the voice command information is "How do I use the VOI function on the CT scanner?", and its corresponding semantic information is "How do I use the VOI function?". The keywords "VOI" and "how to use" are extracted from this information. Based on these keywords, a matching voice file is retrieved from a preset database, and a control command to play the voice file is generated. Alternatively, a matching video file is retrieved from a preset database, and a control command to play the video file is generated. Or, a matching text guidance file is retrieved from a preset database, and a control command to display the text guidance file is generated. This achieves the purpose of automatically answering user questions online. This answering method is highly targeted, answering only the user's questions. Compared to traditional after-sales support methods, the method provided in this embodiment has higher question-answering efficiency and does not require dedicated after-sales support personnel.

[0047] Furthermore, when the voice command information is task information for instructing the medical imaging device to complete a set task, control instructions are generated based on the semantic information, including:

[0048] Semantic keywords are extracted based on the semantic information;

[0049] Based on the semantic keywords, a matching instruction file is called from a preset instruction library, and control instructions for executing the instruction file are generated. The instruction file includes control instructions for completing the set task.

[0050] For example, the voice command message "Please print out the patient films that weren't printed yesterday" corresponds to the voice message "Print out the patient films that weren't printed yesterday." Semantic keywords "yesterday," "didn't print," "films," and "print" are extracted from this. Based on these semantic keywords, a matching instruction file is retrieved from a preset instruction library, and control instructions for executing the instruction file are generated. The instruction file includes control instructions for printing the patient films that weren't printed yesterday. Specifically, this includes instructions for the system to filter and obtain patient information and associated film data that weren't printed yesterday, and to load and format the film data onto the films. The film data may include, for example, reconstructed image data of a patient's organ. This intelligent control of medical imaging equipment based on voice command information effectively improves user efficiency and reduces the probability of errors caused by manual operation of medical imaging equipment.

[0051] Step 140: Control the current medical imaging device to perform the corresponding response action based on the control command.

[0052] Specifically, if the control instruction is a control instruction to play the audio file, the medical imaging device will perform the operation of playing the audio file under its control; if the control instruction is a control instruction to execute a command file to print the patient film that was not printed yesterday, the medical imaging device will perform the operation of printing the patient film.

[0053] In this embodiment, when a user encounters a problem and doesn't know how to operate a specific function of a medical imaging device, they can directly express their question via voice. When the medical imaging device receives the user's question, it automatically provides online answers and guidance, improving the user's work efficiency and saving dedicated after-sales service manpower. This achieves the goal of controlling the medical imaging device via voice and enhances the intelligence level of the medical imaging device.

[0054] Example 2

[0055] Figure 2 is a schematic flowchart of a control method for a medical imaging device according to Embodiment 2 of the present invention. This embodiment optimizes the various optional solutions in the above embodiments. Specifically, it confirms the identity of the user issuing the voice command information before performing voice recognition to avoid unintentional control of the medical imaging device by non-preset users, which could lead to misoperation. It also ensures that patient information is not leaked. See Figure 2 for details; the method includes the following steps:

[0056] Step 210: Receive voice command information input by the user for the current medical imaging equipment.

[0057] Step 220: Extract voiceprint features based on the voice command information.

[0058] Step 230: Match the voiceprint feature with each voiceprint template in the preset voiceprint feature library. If there is a voiceprint template in the preset voiceprint feature library whose similarity to the voiceprint feature reaches the threshold, then continue to step 240. Otherwise, end the process or issue a warning message to inform the current user that they do not have control permissions.

[0059] Specifically, a preset voiceprint feature library stores the voiceprint features of all personnel with control over the medical imaging equipment. If the voiceprint features extracted based on the current voice command do not match any of the pre-stored voiceprint templates in the preset voiceprint feature library (i.e., the similarity is below a threshold), the user issuing the current voice command is determined to be a user without control authority. If a voiceprint template in the preset voiceprint feature library has a similarity to the current user's voiceprint features that reaches the threshold, the user issuing the current voice command is determined to be a user with control authority, and subsequent steps continue. The personnel with control over the medical imaging equipment are typically medical staff. The execution of step 230 avoids unintentional voice commands from non-medical personnel (e.g., patients) to control the medical imaging equipment, preventing malfunctions and improving the stability of the equipment. It is understood that the medical imaging equipment's storage module stores a large amount of patient information; the execution of step 230 also prevents unauthorized access to this information.

[0060] Step 240: Perform speech recognition on the voice command information to obtain the corresponding semantic information.

[0061] Step 250: Generate control instructions based on the semantic information, and control the current medical imaging device to perform corresponding response actions based on the control instructions.

[0062] The technical solution of this embodiment, based on the above embodiment, adds a step to confirm the identity of the user issuing the voice command information before performing voice recognition. This avoids situations where non-preset users unintentionally control the medical imaging equipment, leading to misoperation, and also ensures that patient information is not leaked.

[0063] Example 3

[0064] Figure 3 is a schematic flowchart of a control method for a medical imaging device according to Embodiment 3 of the present invention. This embodiment optimizes the various optional solutions in the above embodiments, specifically providing another method for verifying the identity of the user issuing voice command information. See Figure 3 for details; the method includes the following steps:

[0065] Step 310: Receive voice command information input by the user for the current medical imaging equipment.

[0066] Step 320: Perform speech recognition on the voice command information to obtain the corresponding semantic information.

[0067] Step 330: Determine whether the semantic information includes a preset wake word. If yes, continue to step 340; otherwise, end the process.

[0068] The preset wake-up word is used to activate the intelligent control function of the medical imaging equipment. If the semantic information does not include the preset wake-up word, the corresponding voice command is considered to be a conversation or chat between users, not a command to control the medical imaging equipment. By identifying whether the semantic information includes the preset wake-up word, erroneous operation of the medical imaging equipment can be avoided, improving its stability. Furthermore, the preset wake-up word is usually kept confidential. Only medical personnel and others with control authority over the medical imaging equipment are qualified to know what the preset wake-up word is. It is understood that to control the medical imaging equipment via voice command information, the voice command information must include a wake-up word corresponding to the medical imaging equipment; otherwise, voice control of the medical imaging equipment cannot be achieved. For example, if the voice command information is "Xiao U, how to operate the VOI function," when the preset wake-up word "Xiao U" is recognized, the operation of generating control commands based on the semantic information continues. If the preset wake-up word "Xiao U" is not recognized, the process ends, and the intelligent control operation of the medical imaging equipment stops.

[0069] Furthermore, the voice control function of medical imaging equipment can also be triggered via a hardware switch. For example, a physical switch can be set for the voice receiving module of the medical imaging equipment. When the physical switch is turned on, the voice control function of the medical imaging equipment is activated. At this time, the medical imaging equipment can receive voice command information and execute matching response operations according to the voice command information. When the physical switch is turned off, the voice control function of the medical imaging equipment is turned off.

[0070] Step 340: Generate control instructions based on the semantic information.

[0071] Step 350: Control the current medical imaging device to perform the corresponding response action based on the control command.

[0072] The technical solution of this embodiment, based on the above embodiments, when it is determined that the semantic information corresponding to the voice command information includes a preset wake-up word, the subsequent operation of intelligent control of the medical imaging equipment continues to be executed; when it is determined that the semantic information corresponding to the voice command information does not include a preset wake-up word, the intelligent control process of the medical imaging equipment ends. This achieves the purpose of confirming the identity of the user who issues the voice command information before controlling the medical imaging equipment, thereby avoiding the situation where non-preset users unintentionally control the medical imaging equipment, leading to misoperation, and also achieving the purpose of ensuring patient information security.

[0073] Example 4

[0074] Figure 4 is a schematic diagram of the control device structure of a medical imaging device according to Embodiment 4 of the present invention. Referring to Figure 4, the control device of the medical imaging device includes: a receiving module 410, an identification module 420, a generating module 430, and a control module 440;

[0075] The receiving module 410 is used to receive voice command information input by the user for the current medical imaging device; the recognition module 420 is used to perform voice recognition on the voice command information to obtain corresponding semantic information; the generation module 430 is used to generate control instructions based on the semantic information; and the control module 440 is used to control the current medical imaging device to perform corresponding response actions based on the control instructions.

[0076] Furthermore, the identification module 420 includes:

[0077] The extraction unit is used to extract the corresponding acoustic features based on the voice command information;

[0078] The recognition unit is used to obtain the semantic information corresponding to the voice command information based on the acoustic features combined with a preset acoustic model and a language model; wherein the language model is trained based on corpus associated with medical imaging equipment.

[0079] Furthermore, when the voice command information is a question about how to use medical imaging equipment, the generation module 430 includes:

[0080] Extraction unit, used to extract semantic keywords based on the semantic information;

[0081] The calling unit is used to call a matching voice file from a preset database based on the semantic keywords, and generate control instructions to play the voice file, wherein the voice file is used to answer the question command information.

[0082] Furthermore, when the voice command information is task information for enabling the medical imaging device to complete a set task, the calling unit is also used to call a matching instruction file from a preset instruction library according to the semantic keywords, and generate control instructions to execute the instruction file, wherein the instruction file includes control instructions for completing the set task.

[0083] Furthermore, the receiving module 410 is specifically used to receive voice command information input by the user for the medical imaging device through the voice receiving module of the medical imaging device; or, to receive voice command information input by the user for the medical imaging device through a voice receiving device associated with the medical imaging device.

[0084] Furthermore, the control device also includes a voiceprint feature extraction module and a matching module. The voiceprint feature extraction module is used to extract voiceprint features based on the voice command information before performing speech recognition on the voice command information to obtain the corresponding semantic information. The matching module is used to match the voiceprint features with each voiceprint template in a preset voiceprint feature library. If there is a voiceprint template in the preset voiceprint feature library whose similarity to the voiceprint features reaches a threshold, then the step of performing speech recognition on the voice command information continues.

[0085] Furthermore, the control device also includes a judgment module, used to determine whether the semantic information includes a preset wake word before generating control instructions based on the semantic information; if so, the operation of generating control instructions based on the semantic information continues.

[0086] In this embodiment, when a user encounters a problem and doesn't know how to operate a specific function of a medical imaging device, they can directly express their question via voice. When the medical imaging device receives the user's question, it automatically provides online answers and guidance, improving the user's work efficiency and saving dedicated after-sales service manpower. This achieves the goal of controlling the medical imaging device via voice and enhances the intelligence level of the medical imaging device.

[0087] The above-described control device can execute the control method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0088] Example 5

[0089] Figure 5 is a schematic diagram of an electronic device provided in Embodiment 5 of the present invention. Figure 5 shows a block diagram of an exemplary device 12 suitable for implementing the embodiments of the present invention. The device 12 shown in Figure 5 is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0090] As shown in Figure 5, device 12 is presented in the form of a general-purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0091] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0092] Device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by device 12, including volatile and non-volatile media, removable and non-removable media.

[0093] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 5, commonly referred to as "hard disk drives"). Although not shown in FIG. 5, disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disk drives for reading and writing to removable non-volatile optical disks (e.g., CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set of program modules (e.g., receiving module 410, identification module 420, generation module 430, and control module 440 in the control device of a medical imaging device) configured to perform the functions of various embodiments of the present invention.

[0094] A program / utility 40 having a set of program modules 42 (e.g., a receiving module 410, an identification module 420, a generation module 430, and a control module 440 in a control device for a medical imaging device) can be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0095] Device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with device 12, and / or with any device that enables device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of device 12 via bus 18. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0096] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the control method of the medical imaging device provided in the embodiments of the present invention.

[0097] Example 6

[0098] Embodiment Six of the present invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the control method for the medical imaging device described in any embodiment of the present invention. The control method for the medical imaging device includes:

[0099] Receive voice commands from the user for the current medical imaging equipment;

[0100] The voice command information is subjected to speech recognition to obtain the corresponding semantic information;

[0101] Control instructions are generated based on the semantic information;

[0102] Based on the control commands, the current medical imaging equipment is controlled to perform corresponding response actions.

[0103] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0104] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0105] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0106] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A control method for a medical imaging device, characterized in that, include: Receive voice command information input by the user for the current medical imaging equipment; extract corresponding acoustic features based on the voice command information; the acoustic features include Mel-frequency cepstral coefficients and treble features; The semantic information corresponding to the voice command information is obtained by combining the acoustic features with a preset acoustic model and a language model; the language model is trained based on corpus associated with medical imaging equipment. Control instructions are generated based on the semantic information; the current medical imaging device is then controlled to perform corresponding response actions based on the control instructions.

2. The control method according to claim 1, characterized in that, When the voice command information is a question about how to use medical imaging equipment, the step of generating control instructions based on the semantic information includes: extracting semantic keywords based on the semantic information; retrieving a matching voice file from a preset database based on the semantic keywords and generating a control instruction to play the voice file; retrieving a matching video file from a preset database based on the semantic keywords and generating a control instruction to play the video file; or retrieving a matching text guidance file from a preset database based on the semantic keywords and generating a control instruction to display the text guidance file; the voice file is used to answer the question about the command information.

3. The control method according to claim 1, characterized in that, When the voice command information is task information for instructing the medical imaging device to complete a set task, the step of generating control instructions based on the semantic information includes: extracting semantic keywords based on the semantic information; calling a matching instruction file from a preset instruction library based on the semantic keywords, and generating control instructions to execute the instruction file, wherein the instruction file includes control instructions for completing the set task.

4. The control method according to claim 1, characterized in that, Receiving voice command information input by the user for the current medical imaging device includes: receiving voice command information input by the user for the medical imaging device through the voice receiving module of the medical imaging device; or, receiving voice command information input by the user for the medical imaging device through a voice receiving device associated with the medical imaging device; multiple medical imaging devices share one voice receiving device, and the voice command information includes the identification information of the current medical imaging device.

5. The control method according to any one of claims 1-4, characterized in that, Before extracting the corresponding acoustic features based on the command information, the method further includes: extracting voiceprint features based on the voice command information; matching the voiceprint features with each voiceprint template in a preset voiceprint feature library; if there is a voiceprint template in the preset voiceprint feature library whose similarity to the voiceprint features reaches a threshold, then the step of extracting the corresponding acoustic features based on the command information is continued.

6. The control method according to any one of claims 1-4, characterized in that, Before generating control instructions based on the semantic information, the method further includes: determining whether the semantic information includes a preset wake word; if so, continuing to execute the operation of generating control instructions based on the semantic information.

7. The control method according to any one of claims 1-4, characterized in that, The step of extracting the corresponding acoustic features based on the voice command information includes: extracting the high-pitched features based on the voice command information using the YIN algorithm.

8. A control device for a medical imaging equipment, characterized in that, include: The receiving module is used to receive voice command information input by the user for the current medical imaging equipment; The recognition module is used to extract corresponding acoustic features based on the voice command information; the acoustic features include Mel-spectral coefficients and treble features; The semantic information corresponding to the voice command information is obtained by combining the acoustic features with a preset acoustic model and a language model; the language model is trained based on corpus associated with medical imaging equipment. The generation module is used to generate control instructions based on the semantic information; the control module is used to control the current medical imaging device to perform corresponding response actions based on the control instructions.

9. An electronic device, characterized in that, The device includes: one or more processing devices; a storage device for storing one or more programs; and when the one or more programs are executed by the one or more processing devices, the one or more processing devices implement the control method of the medical imaging device as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processing device, the program implements the control method for the medical imaging device as described in any one of claims 1-7.

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