Remote assistance system and method for handheld ultrasonic equipment

Abstract

The invention provides a remote assistance system and method for handheld ultrasonic equipment, and relates to the technical field of ultrasonic equipment assistance, and the method comprises the steps: collecting real-time equipment parameters and real-time ultrasonic parameters in the operation process of the handheld ultrasonic equipment; setting an equipment operation state of the handheld ultrasonic equipment according to the real-time equipment parameters and preset standard equipment parameters; when the operation state of the equipment is an early warning state, an assistance request is made to the cloud service platform when it is judged that assistance is needed according to the number of times of modification of the real-time ultrasonic parameters and a preset number-of-times threshold value, and then the modified ultrasonic parameters fed back by the cloud service platform are received. The method has the beneficial effects that through mechanisms such as real-time monitoring, automatic judgment and quick response, the problems of low monitoring data updating frequency, limitation of manual monitoring and analysis, complex assistance request process, low response speed and the like are effectively solved. The system not only improves the stability and safety of equipment operation, but also improves the efficiency and quality of medical services.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic equipment assistance technology, and in particular to a remote assistance system and method for a handheld ultrasonic equipment. Background Art

[0002] With the in-depth penetration and widespread application of handheld ultrasound devices in the medical field, their convenience and efficiency have attracted much attention, but at the same time, they have also highlighted the urgent need for remote assistance functions. Under the current technical framework, handheld ultrasound devices face multiple challenges in actual operation, which seriously restricts the accuracy and efficiency of diagnosis.

[0003] The primary problem is the lag of the monitoring system. The update frequency of the existing system monitoring data is significantly insufficient, making it difficult to achieve real-time and dynamic equipment status tracking, resulting in the inability to immediately capture and intervene in potential failure risks or performance fluctuations. This "non-real-time" monitoring mode is highly dependent on manual regular inspection and analysis, which is not only inefficient, but also prone to missing key information, causing serious delays in the discovery and handling of equipment abnormalities.

[0004] Secondly, the process design for users to request remote assistance is cumbersome and lengthy, which has become another bottleneck for improving service efficiency. Users often need to shuttle through multi-level menu options and go through complex steps to successfully initiate an assistance request. This process is not only time-consuming and labor-intensive, but may also be interrupted due to operational errors, greatly reducing the user experience. More importantly, due to the complexity of the request processing process itself and the multi-level approval mechanism, the response speed of customer service and professional technicians after receiving the request is severely restricted, and they are unable to respond quickly to front-line needs, thereby delaying the timely resolution of the problem and affecting the continuity and quality of medical services.

[0005] In summary, existing technologies have significant deficiencies in remote monitoring and assistance of handheld ultrasound equipment. It is urgent to achieve real-time updating of monitoring data, simplify the user assistance request process, and accelerate response speed through technological innovation and optimization, so as to comprehensively improve the efficiency and safety of medical services. Summary of the invention

[0006] In view of the problems existing in the prior art, the present invention provides a remote assistance system for a handheld ultrasonic device, comprising:

[0007] A device status monitoring module, used to collect real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device;

[0008] An abnormality judgment module, connected to the device status monitoring module, used to set the device operation status of the handheld ultrasound device according to the real-time device parameters and preset standard device parameters;

[0009] The assistance initiation module is connected to the device status monitoring module and is used to make an assistance request to the cloud service platform when the device operating status is in the warning state, judging whether assistance is needed based on the number of modifications of the real-time ultrasonic parameters and a preset number threshold, and then receive the corrected ultrasonic parameters fed back by the cloud service platform.

[0010] Preferably, the abnormality judgment module includes:

[0011] an early warning unit, configured to calculate a parameter difference value between the real-time device parameter and the standard device parameter, and to set the device operation state of the handheld ultrasound device to an early warning state when the parameter difference value exceeds a preset early warning difference range and is within a preset safety difference range;

[0012] The abnormal unit is connected to the early warning unit and is used to set the device operation state of the handheld ultrasonic device to an abnormal state and stop the operation of the handheld ultrasonic device when the state difference value exceeds the early warning difference range.

[0013] Preferably, the assistance initiation module includes:

[0014] an assistance initiating unit, configured to, when the operating state of the device is an early warning state, record the real-time ultrasound parameter each time the real-time ultrasound parameter changes, increase the number of modifications by one, and send all the recorded real-time ultrasound parameters to a cloud service platform for an assistance request when the number of modifications exceeds a preset number threshold;

[0015] The parameter receiving unit is used to receive the corrected ultrasound parameters fed back by the cloud service platform after sending the assistance request.

[0016] Preferably, the assistance initiation module further includes:

[0017] An active request unit is connected to the parameter receiving unit and is used to send an assistance request to the cloud service platform according to the active request instruction input by the doctor, and send all the recorded real-time ultrasound parameters to the cloud service platform.

[0018] Preferably, the real-time ultrasound parameters include patient information and examination site, and the cloud service platform includes:

[0019] a parameter screening unit, configured to screen, upon receiving the assistance request and the real-time ultrasound parameters, a standard patient case having the same examination site and the closest patient information from a preset standard parameter library according to the patient information and the examination site;

[0020] A parameter feedback unit is connected to the parameter screening unit and is used to feed back the standard ultrasound parameters contained in the standard patient case as the modified ultrasound parameters to the handheld ultrasound device.

[0021] Preferably, the handheld ultrasound device includes a video call module, and the cloud service platform is connected to multiple customer service video terminals, and the cloud service platform also includes:

[0022] The video assistance unit is used to allocate one of the customer service video terminals to establish a video call with the video call module of the handheld ultrasonic device that initiates the assistance request to perform video assistance.

[0023] The present invention also provides a remote assistance method for a handheld ultrasonic device, which is applied to the above-mentioned remote assistance system, comprising:

[0024] Step S1, the remote assistance system collects real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device;

[0025] Step S2, the remote assistance system sets the device operating state of the handheld ultrasound device according to the real-time device parameters and preset standard device parameters;

[0026] Step S3, when the operating state of the device is in the warning state, the remote assistance system makes an assistance request to the cloud service platform when it determines that assistance is needed based on the number of modifications of the real-time ultrasonic parameters and the preset number threshold, and then receives the corrected ultrasonic parameters fed back by the cloud service platform.

[0027] Preferably, step S2 comprises:

[0028] Step S21, the remote assistance system calculates a parameter difference value between the real-time device parameter and the standard device parameter, and sets the device operation state of the handheld ultrasound device to a warning state when the parameter difference value exceeds a preset warning difference range and is within a preset safety difference range;

[0029] Step S22: When the state difference value exceeds the warning difference range, the remote assistance system sets the device operation state of the handheld ultrasonic device to an abnormal state and stops the operation of the handheld ultrasonic device.

[0030] Preferably, step S3 comprises:

[0031] Step S31, when the operating state of the device is in the warning state, the remote assistance system records the real-time ultrasonic parameter each time the real-time ultrasonic parameter changes, and increases the modification count by one, and when the modification count exceeds a preset threshold, sends all the recorded real-time ultrasonic parameters to the cloud service platform for assistance request;

[0032] Step S32: After sending out the assistance request, the remote assistance system receives the corrected ultrasound parameters fed back by the cloud service platform.

[0033] Preferably, before executing step S32, an active request process is also included, and the active request process includes:

[0034] The remote assistance system sends an assistance request to the cloud service platform according to the active request instruction input by the doctor, and sends all the recorded real-time ultrasound parameters to the cloud service platform.

[0035] The above technical solution has the following advantages or beneficial effects: The remote assistance system of the handheld ultrasound device of the present invention effectively solves the problems existing in the prior art, such as low frequency of monitoring data update, limitations of manual monitoring and analysis, and complex assistance request process and slow response speed, through mechanisms such as real-time monitoring, automatic judgment and rapid response. It not only improves the stability and safety of equipment operation, but also improves the efficiency and quality of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a structural schematic diagram of a remote assistance system for a handheld ultrasonic device in a preferred embodiment of the present invention;

[0037] Figure 2 It is a flow chart of a remote assistance method of a handheld ultrasonic device in a preferred embodiment of the present invention;

[0038] Figure 3 Schematic diagram of a sub-process of step S2 in a preferred embodiment of the present invention;

[0039] Figure 4 This is a schematic diagram of a sub-process of step S3 in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The present invention is not limited to this embodiment, and other embodiments may also fall within the scope of the present invention as long as they conform to the gist of the present invention.

[0041] In a preferred embodiment of the present invention, based on the above problems existing in the prior art, a remote assistance system for a handheld ultrasonic device is provided. Figure 1 As shown, including:

[0042] The device status monitoring module 1 is used to collect real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device;

[0043] The abnormality judgment module 2 is connected to the device status monitoring module 1 and is used to set the device operation status of the handheld ultrasound device according to the real-time device parameters and the preset standard device parameters;

[0044] The assistance initiation module 3 is connected to the device status monitoring module 2. When the device operation status is in the warning state, it is used to make an assistance request to the cloud service platform when it is determined that assistance is needed based on the number of modifications of the real-time ultrasonic parameters and the preset number threshold, and then receive the corrected ultrasonic parameters fed back by the cloud service platform.

[0045] Specifically, the following is an embodiment for illustrating how the remote assistance system of the present invention is used in an actual application scenario:

[0046] In remote areas or environments with relatively scarce medical resources, it is of great significance for doctors to use handheld ultrasound devices for preliminary diagnosis. However, due to differences in operating experience, device performance, or improper handling of complex cases, doctors may encounter diagnostic difficulties or device abnormalities during use. In order to improve diagnostic accuracy and device efficiency, a remote assistance system for handheld ultrasound devices is proposed.

[0047] During a remote diagnosis process, the device status monitoring module recorded that the current battery power was 75%, the CPU usage was 40%, and the probe temperature was 35°C. At the same time, a cardiac ultrasound image was collected with a resolution of 0.1mm and a signal-to-noise ratio of 40dB.

[0048] In this embodiment, the preset standard equipment parameters include battery power not less than 30%, CPU usage not more than 80%, probe temperature not more than 40°C, etc. The abnormality judgment module compares the real-time parameters with the preset standards. If any parameter is found to be beyond the normal range, the equipment operation status is set to "normal", "warning" or "abnormal" according to the degree of excess.

[0049] If the doctor uses the ultrasound parameters normally and sets them reasonably, all parameters should be within the normal range. However, in this embodiment, the doctor sets the ultrasound parameters incorrectly during use, causing the CPU usage rate to rise to 85%. The abnormal judgment module sets the device status to "warning" status.

[0050] When the device is in the "warning" or higher level state, and the number of modifications to the real-time ultrasound parameters (such as the number of times the doctor tries to adjust the image contrast, gain, etc. to improve the image quality) exceeds the preset threshold (such as 5 times), the assistance initiation module automatically triggers the sending of an assistance request to the cloud service platform. The request includes the current state of the device, abnormal parameters, ultrasound images, and modification records.

[0051] In this embodiment, after the doctor tried to adjust the image contrast 5 times, he still could not obtain satisfactory image quality. At this time, the assistance initiation module automatically triggered the request. After the cloud service platform received the request, the expert team conducted a remote analysis and found that the poor image quality might be caused by improper probe position. The expert sent correction suggestions through the cloud platform, including adjusting the probe angle and depth, optimizing image processing parameters, etc.

[0052] Feedback reception and correction: After receiving the corrected ultrasound parameters from the cloud, the handheld ultrasound device automatically adjusts to the recommended settings and re-collects ultrasound images. Doctors can make more accurate diagnoses based on the adjusted images.

[0053] Through the above embodiments, the remote assistance system for handheld ultrasound equipment effectively solves the technical problems encountered by doctors in remote areas when using the equipment, and significantly improves the efficiency and accuracy of diagnosis through real-time monitoring, intelligent judgment and remote assistance. The system can not only warn of equipment abnormalities in a timely manner, but also provide professional technical support when doctors need it, greatly expanding the application scope and effect of ultrasound diagnosis.

[0054] The device status monitoring module 1 of the remote assistance system in this embodiment can collect the operating parameters and ultrasonic parameters of the handheld ultrasonic device in real time, which greatly improves the update frequency of the monitoring data and realizes real-time monitoring. Through real-time monitoring, the system can promptly detect slight changes in the device status, thereby effectively preventing the occurrence of potential faults.

[0055] The abnormal judgment module 2 automatically judges the operating status of the equipment by comparing the real-time equipment parameters with the preset standard equipment parameters. This automatic judgment mechanism reduces the need for manual intervention and improves the accuracy and timeliness of judgment. At the same time, it also avoids possible omissions and misjudgments in manual monitoring.

[0056] When the device enters the warning state, the assistance initiation module 3 can automatically determine whether it is necessary to initiate an assistance request. This automated request process simplifies user operations and reduces the trouble caused by cumbersome steps. At the same time, once a request is initiated, the system can quickly communicate with the cloud service platform, receive and apply the corrected ultrasonic parameters, thereby accelerating the problem solving process and improving the response speed.

[0057] In summary, this remote assistance system for handheld ultrasound equipment effectively solves the problems existing in existing technologies, such as low frequency of monitoring data updates, limitations of manual monitoring and analysis, and complex assistance request processes and slow response speed, through mechanisms such as real-time monitoring, automatic judgment, and rapid response. It not only improves the stability and safety of equipment operation, but also improves the efficiency and quality of medical services.

[0058] In a preferred embodiment of the present invention, the abnormality judgment module 2 includes:

[0059] The early warning unit 21 is used to calculate the parameter difference value between the real-time device parameter and the standard device parameter, and set the device operation state of the handheld ultrasound device to the early warning state when the parameter difference value exceeds the preset early warning difference range and is within the preset safety difference range;

[0060] The abnormality unit 22 is connected to the early warning unit 21 and is used to set the device operation state of the handheld ultrasound device to an abnormal state and stop the operation of the handheld ultrasound device when the state difference value exceeds the early warning difference range.

[0061] Specifically, the following is an example in a practical application to illustrate how the abnormality determination module determines the abnormal state of the device:

[0062] In the process of medical diagnosis, the stability and accuracy of handheld ultrasound equipment are crucial. In order to ensure that the equipment can operate continuously and safely in a complex and changeable medical environment, the present invention designs an abnormality judgment module including an early warning unit and an abnormality unit. These two units accurately calculate the difference between the real-time equipment parameters and the standard equipment parameters, evaluate the equipment status in real time, and take corresponding measures when necessary to ensure the smooth progress of medical diagnosis.

[0063] Assume that the main real-time device parameters we are concerned about include battery power (standard not less than 30%), CPU usage (standard not more than 80%), probe temperature (standard not more than 40°C), etc. The standard values ​​of these parameters are set according to the recommendations of the device manufacturer and the safety standards of the medical industry.

[0064] Parameter difference value calculation: The early warning unit receives data from the device status monitoring module in real time and calculates the difference between each parameter and the standard value. During the diagnosis process of this embodiment, the device reports that the battery power is 28%, the CPU usage is 78%, and the probe temperature is 39°C. The early warning unit will calculate the difference between these parameters and the standard value respectively: the battery power difference is -2% (28%-30%), the CPU usage difference is -2% (78%-80%), and the probe temperature difference is -1°C (39°C-40°C).

[0065] Warning status setting: According to the preset warning difference range (such as ±5%), the above difference values ​​are all within the warning range but have not exceeded the safety difference range. Therefore, the warning unit sets the equipment operation status to "warning status" and sends a warning prompt to the operator through the user interface or system log, reminding him to pay attention to the equipment status and may need to make corresponding adjustments.

[0066] Assume that during continuous use, the device is operated at high load for a long time because the doctor sets the ultrasound parameters incorrectly during the ultrasound examination, causing the CPU usage rate to rise sharply to 95%, exceeding the preset warning difference range (±5%). At this time, the warning unit transmits this information to the abnormal unit.

[0067] When the abnormal unit receives the difference value that exceeds the warning range, it immediately sets the device operation status to "abnormal status" and triggers the device to stop operating. This instruction is executed by the system control module to ensure that the device does not continue to work in a potentially dangerous state to prevent possible device damage or medical accidents.

[0068] After the device stops running, the system will display abnormal information to the operator through the user interface and recommend appropriate emergency measures (such as shutting down the device, replacing batteries, resetting ultrasound parameters, contacting maintenance personnel, etc.). At the same time, the system may also automatically send an abnormal report to the cloud service platform for further analysis and processing by the remote technical support team.

[0069] Through the above embodiments, the abnormality judgment module of the handheld ultrasound device realizes real-time monitoring and accurate evaluation of the device status through the coordinated work of the early warning unit and the abnormality unit. When the device parameters deviate from the normal range, the system can issue an early warning prompt in time; when the device status is seriously abnormal, the system can automatically stop the device operation and trigger the emergency processing mechanism, thereby effectively ensuring the safety and accuracy of medical diagnosis.

[0070] In a preferred embodiment of the present invention, the assistance initiation module 3 includes:

[0071] The assistance initiating unit 31 is used to record the real-time ultrasonic parameters each time they are changed when the device is in the warning state, and increase the number of modifications by one time, and send all the recorded real-time ultrasonic parameters to the cloud service platform for assistance request when the number of modifications exceeds a preset number threshold;

[0072] The parameter receiving unit 32 is used to receive the corrected ultrasound parameters fed back by the cloud service platform after sending the assistance request.

[0073] Specifically, during an actual use of the remote assistance system of the present invention, when the handheld ultrasound device is in a warning state, the doctor may need to frequently adjust the ultrasound parameters to obtain clearer images or more accurate measurement data. However, if the expected effect cannot be achieved after many attempts, professional support from the cloud service platform is needed. The assistance initiation module of the present invention is designed to solve this problem. It can automatically initiate an assistance request to the cloud when the doctor needs it, and receive the corrected ultrasound parameters fed back by the cloud.

[0074] More specifically, in this embodiment, a cardiac ultrasound examination is performed, and the device status monitoring module detects that the battery power is close to a preset lower limit (such as 30%), and sets the device operation status to "warning status". At this time, the assisting initiating unit starts working.

[0075] Doctors adjust ultrasound parameters such as gain, contrast, depth, etc. several times while trying to obtain clearer cardiac images. Real-time ultrasound parameter adjustment records:

[0076] Initial parameters: gain 0dB, contrast 50%, depth 15cm

[0077] First adjustment: Gain +1dB, contrast unchanged, depth unchanged -> image quality slightly improved

[0078] Second adjustment: Gain +1dB, Contrast -5%, Depth unchanged -> Image quality improvement is not obvious

[0079] ...(a total of 10 adjustments)

[0080] Each time a parameter is adjusted, the assistance initiation unit will record the current real-time ultrasound parameter and increase the modification count by one. For example, within 5 consecutive minutes, the doctor made 10 parameter adjustments.

[0081] The preset threshold is set to 5 times. When the number of modifications reaches or exceeds this threshold, the assistance initiating unit determines that the doctor may have encountered a problem that is difficult to solve by himself, so it packages all the recorded real-time ultrasound parameters (including the parameter values ​​after each adjustment and the corresponding image quality assessment information) and sends them to the cloud service platform to initiate an assistance request.

[0082] After the cloud service platform receives the request for assistance, a professional team of ultrasound diagnosis experts will analyze it. Based on the uploaded real-time ultrasound parameters and image quality assessment information, they will determine the problem and develop a plan to correct the ultrasound parameters.

[0083] The cloud service platform sends the corrected ultrasound parameters (such as gain +2dB, contrast -10%, depth +5mm, etc.) back to the handheld ultrasound device through the parameter receiving unit. After receiving these corrected parameters, the parameter receiving unit automatically sets the device to these parameter values ​​and notifies the doctor to re-examine.

[0084] The doctor re-collects and measures the image based on the corrected ultrasound parameters to verify whether the image quality has improved. If the problem is solved, the doctor can continue with the diagnosis; if the problem still exists, the doctor can again initiate an assistance request to the cloud service platform through the assistance initiation module.

[0085] Through the above embodiments, the assistance initiation module of the present invention effectively supports the doctor's remote assistance needs in the early warning state of the handheld ultrasound device. By automatically recording the adjustment process of real-time ultrasound parameters and initiating an assistance request to the cloud service platform when the preset number of times is reached, the doctor can quickly obtain professional technical support and correction parameter suggestions, thereby improving the accuracy and efficiency of diagnosis.

[0086] In a preferred embodiment of the present invention, the assistance initiation module 3 further includes:

[0087] The active request unit 33 is connected to the parameter receiving unit 32, and is used to send an assistance request to the cloud service platform according to the active request instruction input by the doctor, and send all recorded real-time ultrasound parameters to the cloud service platform.

[0088] Specifically, combining the active request unit with the aforementioned passive method (automatic request based on a modification number threshold) brings multiple beneficial effects in the remote assistance system of the handheld ultrasonic device.

[0089] 1. Improve diagnostic efficiency and flexibility

[0090] Immediacy: The proactive request unit allows doctors to send assistance requests to the cloud service platform immediately when they deem it necessary, without waiting for the number of modifications to reach a preset threshold. This immediacy is especially important for urgent or highly complex cases, which can quickly obtain professional support.

[0091] Flexibility: Doctors can freely choose whether to initiate assistance requests based on actual needs during the diagnosis process. This flexibility ensures the efficient use of resources and avoids unnecessary waiting and delays.

[0092] 2. Optimize resource allocation

[0093] Reduce unnecessary cloud intervention: The passive approach can reduce frequent requests to the cloud due to minor problems or minor adjustments by automatically recording and adjusting the number of thresholds, thereby optimizing the use of cloud resources.

[0094] Precise support: When doctors initiate assistance through the active request unit, it usually means that they have encountered a more difficult problem and need more professional support. This precise request can ensure that the cloud service platform uses limited resources where they are most needed.

[0095] 3. Enhance user experience

[0096] Meeting personalized needs: Different doctors may have different working habits and preferences. The active request unit allows doctors to initiate assistance requests based on their own judgment and needs, thereby enhancing the personalized experience of the system.

[0097] Improved trust: By providing the option to proactively request, doctors can take more control over the diagnostic process, which helps improve their trust and satisfaction with the system.

[0098] 4. Promote human-machine collaboration

[0099] Seamless connection: The active request unit and the passive request method complement each other and together form a complete human-machine collaboration system. Doctors can flexibly choose the request method according to actual conditions to achieve seamless connection with the cloud service platform.

[0100] Optimize workflow: This combined approach helps optimize physicians’ workflow, allowing them to seek support more calmly when faced with complex cases, thereby improving overall work efficiency.

[0101] In summary, the combination of active request unit and passive request mode has brought multiple beneficial effects in the remote assistance system of handheld ultrasound equipment, such as improving diagnostic efficiency and flexibility, optimizing resource allocation, enhancing user experience, and promoting human-computer collaboration. This combination not only improves the overall performance of the system, but also enhances the autonomy and control of doctors in the diagnosis process.

[0102] In a preferred embodiment of the present invention, the real-time ultrasound parameters include patient information and examination site, and the cloud service platform 100 includes:

[0103] The parameter screening unit 110 is used to screen out standard patient cases with the same examination part and the closest patient information from a preset standard parameter library according to the patient information and the examination part when receiving the assistance request and the real-time ultrasound parameters;

[0104] The parameter feedback unit 120 is connected to the parameter screening unit 110 and is used to feed back the standard ultrasound parameters contained in the standard patient case as the modified ultrasound parameters to the handheld ultrasound device.

[0105] Specifically, in this embodiment, in the ultrasound department of a large general hospital, a doctor is using a handheld ultrasound device to examine the liver of a 50-year-old male patient (patient number: P001). The patient has a history of mild fatty liver disease and has recently experienced abdominal discomfort. The doctor hopes to obtain more professional ultrasound diagnosis support through the remote service platform.

[0106] The doctor enters the patient's basic information (such as name, age, gender, medical history, height, weight) and the examination site (liver) on the handheld ultrasound device. The device automatically records and generates real-time ultrasound parameters, including but not limited to ultrasound images, measurements (such as liver size, morphology, echo intensity, etc.) and the patient's physiological indicators (such as heart rate, respiratory rate, etc.).

[0107] During the examination, the doctor found that some ultrasound image features were not obvious and it was difficult to make an accurate judgment. Therefore, the doctor sent an assistance request to the cloud service platform through the active request unit of the handheld ultrasound device, and sent all the recorded real-time ultrasound parameters (including patient information and examination site) together.

[0108] After the cloud service platform receives the assistance request and real-time ultrasound parameters, the parameter screening unit is immediately started.

[0109] Based on the patient information (50-year-old male, history of mild fatty liver disease) and the examination site (liver), standard patient cases with the same examination site and the closest patient information are screened from the preset standard parameter library. Assume that 5 cases with high similarity are screened, among which case S003 has the highest similarity with the current patient (similarity score: 92%).

[0110] Standard ultrasound parameters were extracted from case S003, including but not limited to the standard size range, morphological characteristics, normal echo intensity, etc. of the liver.

[0111] The standard ultrasound parameters in case S003 are fed back to the handheld ultrasound device as corrected ultrasound parameters.

[0112] The feedback data includes ultrasound parameters such as ultrasound frequency, scanning sequence, focal depth, dynamic range, probe type, probe frequency bandwidth, etc. when scanning case S003. At the same time, the standard liver size range of case SOO3 (such as long diameter: 12-15cm, wide diameter: 7-10cm) and typical fatty liver ultrasound image feature description are also fed back for doctors' reference and comparison.

[0113] After receiving the corrected ultrasound parameters on the handheld ultrasound device, the doctor performs another scan and performs comparative analysis in combination with the real-time ultrasound image.

[0114] By comparison, it was found that the patient's current liver size was at the edge of the normal range, but the echo intensity was slightly higher than the standard value, which was consistent with the ultrasound manifestation of mild fatty liver.

[0115] Doctors can make more accurate diagnoses and formulate corresponding treatment plans based on comprehensive analysis of corrected ultrasound parameters and real-time ultrasound images.

[0116] In a preferred embodiment of the present invention, the handheld ultrasound device 200 includes a video call module 4, and the cloud service platform 100 is connected to multiple customer service video terminals 300, and the cloud service platform 100 also includes:

[0117] The video assistance unit 130 is used to allocate a customer service video terminal to establish a video call with the video call module of the handheld ultrasonic device that initiates the assistance request to perform video assistance.

[0118] Specifically, in this embodiment, a video call module is integrated into the handheld ultrasound device and connected to multiple customer service video terminals on the cloud service platform. The video call function is realized through the video assistance unit, which brings many benefits to ultrasound diagnosis.

[0119] Video calls allow doctors to communicate face-to-face with customer service personnel on the cloud service platform (who may be experienced ultrasound experts or technical support personnel). This real-time and intuitive communication method is more efficient and accurate than simple text or voice communication, because both parties can directly see each other's expressions, gestures, and ultrasound images, reducing misunderstandings and communication barriers.

[0120] During the video call, customer service staff can instantly observe the real-time ultrasound image on the handheld ultrasound device and provide instant technical guidance based on the image. They can instruct doctors on how to adjust the position, angle or parameter settings of the ultrasound probe to obtain clearer and more accurate images. This instant technical guidance can significantly improve the accuracy and efficiency of diagnosis.

[0121] The cloud service platform can centrally manage multiple customer service video terminals and dynamically allocate resources according to actual needs. When a handheld ultrasound device initiates an assistance request, the video assistance unit can quickly allocate an available customer service video terminal for a video call. This flexible resource allocation method ensures that doctors can get professional support in a timely manner when needed, while avoiding waste and idleness of resources.

[0122] The present invention also provides a remote assistance method for a handheld ultrasonic device, which is applied to the above-mentioned remote assistance system. Figure 2 As shown, including:

[0123] Step S1, the remote assistance system collects real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device;

[0124] Step S2, the remote assistance system sets the device operating state of the handheld ultrasound device according to the real-time device parameters and the preset standard device parameters;

[0125] Step S3, when the device operating status is in the warning state, the remote assistance system makes an assistance request to the cloud service platform when it determines that assistance is needed based on the number of modifications of the real-time ultrasonic parameters and the preset number threshold, and then receives the corrected ultrasonic parameters fed back by the cloud service platform.

[0126] In a preferred embodiment of the present invention, Figure 3 As shown, step S2 includes:

[0127] Step S21, the remote assistance system calculates the parameter difference value between the real-time device parameter and the standard device parameter, and sets the device operation state of the handheld ultrasound device to a warning state when the parameter difference value exceeds a preset warning difference range and is within a preset safety difference range;

[0128] Step S22: When the state difference value exceeds the warning difference range, the remote assistance system sets the device operation state of the handheld ultrasonic device to an abnormal state and stops the operation of the handheld ultrasonic device.

[0129] In a preferred embodiment of the present invention, Figure 4 As shown, step S3 includes:

[0130] Step S31, when the device operation state is in the warning state, the remote assistance system records the real-time ultrasonic parameters each time the real-time ultrasonic parameters change, and increases the number of modifications by one, and when the number of modifications exceeds the preset number threshold, sends all the recorded real-time ultrasonic parameters to the cloud service platform for assistance request;

[0131] Step S32, the remote assistance system receives the corrected ultrasound parameters fed back by the cloud service platform after sending the assistance request.

[0132] In a preferred embodiment of the present invention, an active request process is also included before executing step S32, and the active request process includes:

[0133] The remote assistance system sends an assistance request to the cloud service platform based on the active request instruction entered by the doctor, and sends all recorded real-time ultrasound parameters to the cloud service platform.

[0134] The above are only preferred embodiments of the present invention, and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the contents of this specification and illustrations should be included in the protection scope of the present invention.

Claims

1. A remote assistance system for a handheld ultrasonic device, characterized in that: include: A device status monitoring module, used to collect real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device; An abnormality judgment module, connected to the device status monitoring module, used to set the device operation status of the handheld ultrasound device according to the real-time device parameters and preset standard device parameters; The assistance initiation module is connected to the device status monitoring module and is used to make an assistance request to the cloud service platform when the device operating status is in the warning state, judging whether assistance is needed based on the number of modifications of the real-time ultrasonic parameters and a preset number threshold, and then receive the corrected ultrasonic parameters fed back by the cloud service platform.

2. The remote assistance system according to claim 1, characterized in that: The abnormality judgment module comprises: an early warning unit, configured to calculate a parameter difference value between the real-time device parameter and the standard device parameter, and to set the device operation state of the handheld ultrasound device to an early warning state when the parameter difference value exceeds a preset early warning difference range and is within a preset safety difference range; The abnormal unit is connected to the early warning unit and is used to set the device operation state of the handheld ultrasonic device to an abnormal state and stop the operation of the handheld ultrasonic device when the state difference value exceeds the early warning difference range.

3. The remote assistance system according to claim 1, characterized in that: The assistance initiation module includes: an assistance initiating unit, configured to, when the operating state of the device is an early warning state, record the real-time ultrasound parameter each time the real-time ultrasound parameter changes, increase the number of modifications by one, and send all the recorded real-time ultrasound parameters to a cloud service platform for an assistance request when the number of modifications exceeds a preset number threshold; The parameter receiving unit is used to receive the corrected ultrasound parameters fed back by the cloud service platform after sending the assistance request.

4. The remote assistance system according to claim 3, characterized in that: The assistance initiation module also includes: An active request unit is connected to the parameter receiving unit and is used to send an assistance request to the cloud service platform according to the active request instruction input by the doctor, and send all the recorded real-time ultrasound parameters to the cloud service platform.

5. The remote assistance system according to claim 1, characterized in that: The real-time ultrasound parameters include patient information and examination sites, and the cloud service platform includes: a parameter screening unit, configured to screen, upon receiving the assistance request and the real-time ultrasound parameters, a standard patient case having the same examination site and the closest patient information from a preset standard parameter library according to the patient information and the examination site; A parameter feedback unit is connected to the parameter screening unit and is used to feed back the standard ultrasound parameters contained in the standard patient case as the modified ultrasound parameters to the handheld ultrasound device.

6. The remote assistance system according to claim 1, characterized in that: The handheld ultrasound device includes a video call module, and the cloud service platform is connected to multiple customer service video terminals, and the cloud service platform also includes: The video assistance unit is used to allocate one of the customer service video terminals to establish a video call with the video call module of the handheld ultrasonic device that initiates the assistance request to perform video assistance.

7. A remote assistance method for a handheld ultrasonic device, characterized in that: A remote assistance system as claimed in any one of claims 1 to 6, comprising: Step S1, the remote assistance system collects real-time device parameters and real-time ultrasound parameters during the operation of the handheld ultrasound device; Step S2, the remote assistance system sets the device operating state of the handheld ultrasound device according to the real-time device parameters and preset standard device parameters; Step S3, when the operating state of the device is in the warning state, the remote assistance system makes an assistance request to the cloud service platform when it determines that assistance is needed based on the number of modifications of the real-time ultrasonic parameters and the preset number threshold, and then receives the corrected ultrasonic parameters fed back by the cloud service platform.

8. The remote assistance method according to claim 7, characterized in that: The step S2 comprises: Step S21, the remote assistance system calculates a parameter difference value between the real-time device parameter and the standard device parameter, and sets the device operation state of the handheld ultrasound device to a warning state when the parameter difference value exceeds a preset warning difference range and is within a preset safety difference range; Step S22: When the state difference value exceeds the warning difference range, the remote assistance system sets the device operation state of the handheld ultrasonic device to an abnormal state and stops the operation of the handheld ultrasonic device.

9. The remote assistance method according to claim 7, characterized in that: The step S3 comprises: Step S31, when the operating state of the device is in the warning state, the remote assistance system records the real-time ultrasonic parameter each time the real-time ultrasonic parameter changes, and increases the modification count by one, and when the modification count exceeds a preset threshold, sends all the recorded real-time ultrasonic parameters to the cloud service platform for assistance request; Step S32: After sending out the assistance request, the remote assistance system receives the corrected ultrasound parameters fed back by the cloud service platform.

10. The remote assistance method according to claim 9, characterized in that: Before executing step S32, an active request process is also included, and the active request process includes: The remote assistance system sends an assistance request to the cloud service platform according to the active request instruction input by the doctor, and sends all the recorded real-time ultrasound parameters to the cloud service platform.

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