CN119007975A

CN119007975A - A cabin-type remote consultation system

Info

Publication number: CN119007975A
Application number: CN202411030337.7A
Authority: CN
Inventors: 徐伟
Original assignee: Individual
Current assignee: Individual
Priority date: 2024-07-30
Filing date: 2024-07-30
Publication date: 2024-11-22

Abstract

The present application provides a cabin-type telemedicine consultation system, which includes a monitoring unit, a detection cabin, a control platform and a cloud platform. The cabin-type telemedicine consultation system is designed to provide telemedicine services in areas lacking medical resources. The system includes advanced communication equipment, medical monitoring instruments and a fully automatic patient service cabin, which can realize remote diagnosis and treatment guidance.

Description

Cabin type remote consultation system

Technical Field

The invention relates to a remote program control consultation technology, in particular to a cabin type remote consultation system.

Background

In China, the number of bradycardia patients exceeds 500 ten thousand, and about 50 ten thousand are newly increased each year. Although cardiac pacemakers are the only effective means to treat this disease, the implantation rate of domestic pacemakers is only 55 per million people, far from meeting the current patient needs. The coverage of treatment is extremely low, with only 2% -5% of newly diagnosed indication patients receiving instrumented treatment each year.

Management after pacemaker implantation includes initial and periodic programmed follow-up to monitor and adjust device performance. Currently, most primary hospitals are capable of performing pacemaker implantation procedures, but most lack the ability to autonomously adjust device parameters, requiring expert remote instruction. Different brands are marketed each offering dedicated remote programming systems, but due to lack of interoperability, result in fragmentation of data and operations. This not only increases the cost of treatment, but also causes waste of medical resources.

Thus, there is an urgent need for a third party integration platform within an industry to unify information and operations of branded devices. The platform enables medical staff to carry out remote follow-up and equipment debugging in the same environment, improves treatment efficiency, optimizes resource allocation, provides precious data for research of cardiac pacemakers, and supports development of a grading diagnosis and treatment mode of the cardiology.

Disclosure of Invention

The invention aims to provide a cabin type remote consultation system which is used for solving the problems in the technical background.

The cabin type remote consultation system comprises a monitoring unit, a detection cabin, a control platform and a cloud platform;

The monitoring unit consists of a multifunctional camera system, multi-parameter electrocardiograph monitoring equipment and a multimedia interaction tool, and is arranged at the detection cabin;

The detection cabin comprises a detection cabin body, a processing terminal, a program control instrument, a dynamic electrocardiograph, a high-precision biosensor, a patient interaction display and an on-site doctor control display, wherein the high-precision biosensor is used for monitoring biosensing data of a patient in real time, the patient interaction display is integrated with an augmented reality technology for displaying superposed medical images and physiological parameters, the on-site doctor control display provides an immersive data display function by adopting a virtual reality technology, and the patient interaction display and the on-site doctor control display support dual-mode display for realizing interaction between a doctor and the patient;

The control platform consists of a data processing synchronization module, an advanced data service module, a business processing module, a comprehensive patient database and an intelligent diagnosis support system, wherein the intelligent diagnosis support system is used for carrying out real-time physiological monitoring on a patient and providing diagnosis and treatment advice through data analysis under the comprehensive patient database, and the data synchronization module transmits biosensing data, an electrocardiogram and a program control instrument data of the patient to the cloud platform.

Optionally, the multifunctional camera system is composed of a patient view camera, an instrument view camera and a panoramic view camera;

For the patient viewing camera, positioned directly in front of or slightly above the detection chamber, the definition of directly in front of or slightly above depends on whether the patient's face and upper body are aligned;

The instrument visual angle camera is arranged in the detection cabin, and the installation position is satisfied to face various monitoring equipment and operation instruments;

and the panoramic view camera is positioned at the top or corner of the detection cabin and is used for collecting the panoramic view of the detection cabin.

Optionally, the patient view camera, the instrument view camera and the panoramic view camera are provided with a night vision function;

The patient visual angle camera and the instrument visual angle camera are provided with automatic tracking modules, and the automatic tracking modules are used for automatically adjusting focus and angle according to movement of the patient and equipment;

The contents collected by the patient visual angle camera, the instrument visual angle camera and the panoramic visual angle camera are displayed in a multi-visual angle mode through the on-site doctor.

Optionally, the patient interaction display and the on-site doctor control display are provided with image enhancement software for performing real-time image enhancement on images of a display image.

Optionally, a high-speed network communication module, a video conference function, an intelligent diagnosis module, a touch screen interface and a voice control module are arranged in the multi-parameter electrocardiograph monitoring equipment;

for the high-speed network communication module, supporting 4G/5G and Wi-Fi;

For the video conference function, the video conference function is used for realizing real-time video communication between a patient and a doctor;

The intelligent diagnosis module is used for analyzing the collected data in real time and automatically detecting and early warning arrhythmia; the intelligent diagnosis module is also used for automatically updating the health condition assessment of the patient according to the historical data and the real-time data and providing preliminary diagnosis suggestions;

the touch screen interface is used for checking self-help health data of the patient and equipment states;

the voice control module is used for realizing equipment operation for patients with inconvenient actions.

Optionally, the monitoring functions of the multi-parameter electrocardiographic monitoring device include ECG, heart rate, blood pressure, spO2, CO2 tip, body temperature, cardiac output, electrodermal activity (EDA) monitoring, and posture sensors, wherein the EDA monitoring and posture sensors are used to assess pressure levels and physical activity states of the patient.

Optionally, the display screen of the patient interaction display adopts a high-resolution touch screen, and is directly connected with the high-precision biosensor in the detection cabin to display physiological data in real time;

the patient interaction display integrates a loudspeaker and a microphone and supports audio and video communication.

The patient interactive display displays patient data in real time and related medical images superimposed by augmented reality techniques.

The patient-interactive display providing interactive educational material and operational guidance;

The patient interactive display supports feedback of sensations and therapeutic effects via a touch screen.

Optionally, the on-site physician manipulation display includes a VR headset and a handle for providing an immersive visual and operational experience.

Optionally, in the control platform,

The data processing synchronization module receives data from the biosensor, the electrocardiogram and the program control instrument through the data receiving unit; the data processing synchronization module ensures the time sequence accuracy of the data through a synchronization algorithm; the data processing synchronization module uploads the processed data to a cloud platform or other storage systems through an uploading interface;

The advanced data service module performs data analysis by using a data analysis engine through a statistics and machine learning technology; the advanced data service module generates charts and reports through visualization tools; the advanced data service module allows doctors and authorized medical staff to access data analysis results through a user access interface;

The business processing module configures and manages the flow of medical and administrative tasks through a workflow manager; the business processing module processes medical records, reservations and other business transactions through the transaction processing system; the business processing module ensures the safety and compliance of data and transactions through a safety protocol.

The comprehensive patient database stores patient data through big data; the comprehensive patient database retrieves patient information and history records through an indexing and querying system; the comprehensive patient database stores patient-related data including medical history, treatment records and real-time monitoring data; the comprehensive patient database supports information retrieval;

The diagnosis algorithm of the intelligent diagnosis support system is based on an artificial intelligence technology; the intelligent diagnosis support system realizes the recommendation of diagnosis and treatment schemes based on historical data and similar cases through a recommendation system; the intelligent diagnosis support system is directly connected with the equipment through a real-time monitoring interface, and monitoring data are obtained in real time.

The embodiment of the application has at least the following technical effects:

the cabin-type remote consultation system is designed to provide remote medical services in areas lacking medical resources. The system comprises advanced communication equipment, medical monitoring instruments and a fully-automatic patient service cabin body, and can realize remote diagnosis and treatment guidance.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

The above features and advantages of the present invention will be better understood after reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily to scale and components having similar related features or characteristics may have the same or similar reference numerals.

Fig. 1 is a schematic structural diagram of a cabin-type remote consultation system according to an embodiment of the present application;

FIG. 2 is a schematic diagram of an intelligent diagnosis support system according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a multifunctional camera system according to an embodiment of the present application;

Fig. 4 is a schematic structural diagram of a multi-parameter electrocardiograph monitoring device according to an embodiment of the present application.

Detailed Description

The invention is described in detail below with reference to the drawings and the specific embodiments. It is noted that the aspects described below in connection with the drawings and the specific embodiments are merely exemplary and should not be construed as limiting the scope of the invention in any way.

Example 1

The embodiment of the application provides a cabin type remote consultation system, which is shown in fig. 1 and comprises a monitoring unit, a detection cabin, a control platform and a cloud platform.

First, the connection relation and function will be described.

The monitoring unit consists of a multifunctional camera system, multi-parameter electrocardiograph monitoring equipment and a multimedia interaction tool, and is arranged at the detection cabin.

The detection cabin comprises a detection cabin body, a processing terminal, a program control instrument, a dynamic electrocardiograph, a high-precision biosensor, a patient interaction display and an on-site doctor control display, wherein the high-precision biosensor is used for monitoring biosensing data of a patient in real time, the patient interaction display is integrated with an augmented reality technology and used for displaying superimposed medical images and physiological parameters, the on-site doctor control display provides an immersive data display function by adopting a virtual reality technology, the patient interaction display and the on-site doctor control display support dual-mode display, and the dual-mode display is used for realizing interaction between a doctor and the patient.

In the embodiment of the application, the intelligent diagnosis support system not only utilizes artificial intelligence technology such as machine learning and deep learning, but also combines a real-time physiological monitoring and data-driven decision support system, thereby creating conditions for providing personalized diagnosis and treatment suggestions. Furthermore, personalized medical recommendation, real-time data analysis and feedback and technology fusion can be realized.

The intelligent diagnostic support system can recommend a personalized treatment regimen for each patient, such as by analyzing historical data and current real-time data in the integrated patient database. The method not only improves the accuracy of treatment, but also adjusts and optimizes the treatment strategy according to the specific condition of the patient.

Data from the biosensor, such as electrocardiographs and other critical physiological parameters, are collected and analyzed as a real-time, quickly identifying health risks or disease symptoms, and providing feedback and early warning in real-time. This immediate response mechanism is extremely critical for acute disease management and prevention.

The design of the intelligent diagnosis support system combines data synchronization, advanced data analysis, artificial intelligence and medical knowledge to realize interdisciplinary technology fusion.

The principle of how the intelligent diagnosis support system achieves the above functions will be further described with reference to fig. 2.

Data collection is first performed. The intelligent diagnostic support system first needs to collect data from a variety of sources, which may include physiological monitoring devices such as Electrocardiographs (ECG), blood pressure monitors, etc., collect physiological parameters of the patient in real time, and also include Electronic Health Records (EHR) such as medical history of the patient, medication records, laboratory test results, etc.

Further data processing and analysis are performed. The collected data needs to be preprocessed, including cleaning (removing noise and outliers) and normalization (unifying data formats) for efficient analysis. The preprocessed data will be used for the following analysis.

In one example, key features are extracted from complex physiological signals, such as heart rate, QRS complex duration, etc. from an electrocardiogram. Data from different sources is combined, such as combining real-time monitoring data with historical information in electronic health records, to provide a comprehensive patient view.

The data is further processed in combination with an algorithm.

In one example, a machine learning model, such as random forest, support Vector Machine (SVM), logistic regression, etc., is incorporated for training the model based on historical data to predict disease categories or treatment effects.

In one example, in conjunction with deep learning models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), it is particularly suitable to process image data (e.g., X-ray images, MRI) and time series data (e.g., continuous electrocardiography).

By taking electrocardiographic analysis as an example, electrocardiographic signal data is input, preprocessing of filtering and denoising is carried out, characteristics such as a heartbeat period, a wave crest and the like are extracted by using wavelet transformation and other technologies, abnormal conditions such as arrhythmia and the like are identified by using a deep learning model such as CNN, and finally diagnosis results such as normal conditions, atrial fibrillation and the like are output.

In addition, the system generates detailed diagnosis reports according to analysis results, including possible disease types, suggested treatment schemes and the like, and for real-time monitoring data, the system can immediately generate early warning to help doctors to quickly respond to emergency situations of patients.

Further, assuming that logistic regression is used for disease prediction, the calculation formula is:

[p＝\frac{1}{1+e^{-(b_0+b_1x_1+b_2x_2+\dots+b_nx_n)}}]

where (p) is the probability of illness, (x_1, x_2, \dots, x_n) is the input feature and (b_0, b_1, \dots, b_n) is the model parameter.

By the mode, the intelligent diagnosis support system not only can provide personalized medical recommendation, but also can analyze data and technology fusion in real time, and improves the accuracy and efficiency of diagnosis.

In conclusion, the control platform is prospective in technical application and provides more efficient and accurate medical services under the support of the intelligent diagnosis support system, and the response capability of the medical system to the demands of patients and the capability of processing complex conditions are greatly enhanced.

Example 2

As shown in fig. 3, the embodiment of the application further provides a schematic structural diagram of the multifunctional camera system, which is further described. In order to realize omnibearing shooting collection, the multifunctional camera system consists of a patient visual angle camera, an instrument visual angle camera and a panoramic visual angle camera.

For a patient viewing camera, the definition of the camera, which is arranged right in front of or slightly above the detection cabin, depends on whether the camera is aimed at the face and upper body of the patient, ensuring that the camera can clearly capture the face and upper body of the patient, taking into account the facial expression and possible emergent physiological response of the monitored patient.

For instrument visual angle cameras, the installation is arranged in the detection cabin, and the installation position is satisfied to face various monitoring equipment and operation instruments, so that doctors can ensure the normal operation of the equipment through the cameras even if the doctor is not on site, and observe any abnormality in the operation process.

For the panoramic view camera, be located the top or the corner of detecting the cabin for gather the panoramic view of detecting the cabin, provide a global view, help the medical team to know the situation of whole detection cabin, including the quick response of medical staff's developments, patient's global activity condition and emergency, for example when carrying out emergency operation or complicated medical procedure, the panoramic view can help medical team coordinate the operation, ensures seamless team work.

Optionally, the patient view camera, the instrument view camera and the panoramic view camera are provided with night vision functions. In poor lighting conditions, the night vision function ensures that all monitoring activities can continue at night or in dim light conditions without missing any important medical information.

The patient view camera and the instrument view camera are provided with an automatic tracking module which is used for automatically adjusting the focus and the angle according to the movement of the patient and the equipment. The focus and the angle can be automatically adjusted according to the actions of the patient, so that all important operations can be clearly recorded. For example, if the patient is moving or sitting in a bed, the camera will automatically adjust to keep the patient in the center of the picture.

The contents collected by the patient visual angle camera, the instrument visual angle camera and the panoramic visual angle camera are displayed in multiple visual angles through the operation of a display by an on-site doctor.

In general, a multi-function camera system includes a plurality of specially configured cameras to ensure that a physician can monitor the condition of a patient and the operation of medical equipment from different angles in real time.

Optionally, the patient interactive display and the on-site doctor control display are provided with image enhancement software for real-time picture enhancement of the images of the display pictures.

In addition, the embodiment of the application can realize the comprehensive picture summarization of the multifunctional cameras, and is realized by integrating the pictures of the three cameras (the view angle of a patient, the view angle of an instrument and the panoramic view angle) on one interface. Such an integrated view may provide more comprehensive monitoring information, helping medical teams to more effectively cooperate and make decisions.

In one possible implementation, video streams from different cameras may be combined into one integrated view by video fusion techniques. This includes techniques such as image stitching, synchronous display and image processing, ensuring consistency in both time and space of the video stream.

Further, the real-time capturing, processing and displaying of video is performed by a high-performance image processing server or dedicated hardware. This includes compression, format conversion, resolution adjustment, etc. of the video.

Furthermore, the edge computing device is used for processing the video data near the camera, so that delay and bandwidth requirements of data transmission can be reduced, and processing speed is improved.

Furthermore, the accurate time stamp and the synchronization mechanism of videos recorded by all cameras are ensured, and the accurate alignment during the later video analysis and playback is ensured.

Further, a user-friendly interface is provided, allowing doctors and medical personnel to freely choose to view individual camera views or composite views. The multi-window display device comprises a single display screen, wherein a multi-window function is provided on the single display screen, each window can independently display the visual angles of different cameras, and a comprehensive window is provided to display the fused picture.

Further, artificial intelligence assistance is achieved. Machine learning algorithms are used to identify key scenes and objects in the video, such as monitoring alarm signals of the instrument or specific behaviors of the patient, automatically adjust focus and alert medical personnel. The patient's behavioral patterns are analyzed to predict potential health problems, such as monitoring the patient's progress in rehabilitation by means of their activity and sleep patterns.

Through the picture fusion mode, the medical team not only can obtain detailed information of all angles, but also can obtain a global monitoring effect through the comprehensive view, so that diagnosis and treatment can be better carried out. The application of the technology greatly improves the efficiency and the response speed of the monitoring system and provides a safer and more efficient medical environment for patients.

Example 3

Further, fig. 4 is a schematic structural frame diagram of a multi-parameter electrocardiograph monitoring device according to an embodiment of the present application, where a high-speed network communication module, a video conference function, an intelligent diagnosis module, a touch screen interface and a voice control module are built in the multi-parameter electrocardiograph monitoring device.

For the high-speed network communication module, 4G/5G and Wi-Fi are supported. Ensuring that the device can remain connected to the healthcare provider at a high speed and stable at almost any location. For example, a heart patient in a rural area can send electrocardiographic data to a heart disease specialized hospital in a city in real time by means of the communication module, and the data can be analyzed and monitored by an expert.

For video conferencing functions, for enabling real-time video communication between the patient and the physician. Is suitable for patients who cannot frequently visit the hospital. Through the video conferencing feature, the patient can communicate face-to-face with the doctor at home, who can observe the patient's current state and provide guidance. For example, a doctor may instruct the patient via video how to properly use the device or make the necessary adjustments to ensure accurate data acquisition.

For the intelligent diagnosis module, the data collected are analyzed in real time, and arrhythmia is automatically detected and early-warned; the intelligent diagnosis module is also used for automatically updating the health condition assessment of the patient according to the historical data and the real-time data and providing preliminary diagnosis suggestions. The intelligent diagnosis module utilizes an algorithm to analyze the collected data in real time, automatically detects heart problems such as arrhythmia and the like, and gives early warning in time. This not only can help the patient discover potential health problems in time, but can also automatically notify emergency contacts or medical institutions in the event of an emergency. In addition, the module automatically updates the health assessment based on patient history and real-time data and provides preliminary diagnostic advice to assist the physician in more effectively planning the treatment.

The touch screen interface is used for viewing patient self-help health data and equipment status. The health data and the equipment state of the patient can be conveniently checked by the patient, and even the elderly who are unfamiliar with the technology can easily operate the health data and the equipment state. For example, the patient may tap the screen to view the most recent electrocardiogram results or to check battery life and other maintenance indications.

The voice control function provides a convenient solution for patients with impaired mobility or vision. The patient can operate the device, view the data, or talk to the physician with simple voice commands. For example, a patient using a wheelchair may perform various operations through voice commands without touching the device, i.e., the voice control module is used to perform device operations for convenience of the patient with mobility impairment.

In the monitoring unit, the monitoring functions of the multi-parameter electrocardiographic monitoring device include ECG, heart rate, blood pressure, spO2, CO2 tip, body temperature, cardiac output, electrodermal activity (EDA) monitoring and posture sensors, wherein the EDA monitoring and posture sensors are used to assess the pressure level and physical activity status of the patient.

In the detection cabin, a display screen of the patient interaction display adopts a high-resolution touch screen, is directly connected with a high-precision biosensor in the detection cabin, and displays physiological data in real time.

In addition, the patient-interactive display integrates a speaker and microphone, supporting audio-visual communication. The patient interactive display displays patient data in real-time and related medical images superimposed by augmented reality technology. The patient-interactive display provides interactive educational material and operational guidance. The patient interactive display supports feedback of sensations and therapeutic effects via the touch screen.

In the detection pod, the on-site physician manipulation display includes a VR headset and a handle for providing an immersive visual and operational experience.

Therefore, the functional integration of the multi-parameter electrocardiograph monitoring equipment not only improves the efficiency and convenience of electrocardiograph monitoring, but also greatly enhances the safety feeling and self-management capability of patients. In addition, the popularity of such devices helps to mitigate the uneven distribution of medical resources, making high quality medical services more popular and accessible.

Example 3

In the embodiment of the application, the control platform realizes the cooperative work of a plurality of modules to optimize the collection, processing and analysis of medical data, thereby improving the efficiency and quality of medical services. Can be applied to complex medical environments such as hospitals, telemonitoring centers or research facilities.

In the control platform, the data processing synchronization module receives data from the biosensor, the electrocardiogram and the program control instrument through the data receiving unit, the data processing synchronization module ensures the time sequence accuracy of the data through a synchronization algorithm, and the data processing synchronization module uploads the processed data to the cloud platform or other storage systems through an uploading interface. Better synchronization can be achieved for cardiac monitoring, as small temporal differences in the electrocardiographic data can affect the accuracy of the diagnostic results. The processed data is uploaded to a cloud platform or other storage systems through an uploading interface, so that remote access and backup of the data are realized.

In one example, consider a heart patient using a wearable biosensor that continuously monitors heart rate and heart rhythm. These data are first transferred to a data processing synchronization module which corrects the time stamp ensuring synchronization with the drug release data received from the programmer. And uploading the synchronous data packets to the cloud for further analysis.

The advanced data service module performs data analysis by using a data analysis engine through a statistics and machine learning technology; the advanced data service module generates charts and reports through the visualization tool; the advanced data service module allows doctors and authorized medical personnel to access the data analysis results through the user access interface.

The business processing module configures and manages the flow of medical and administrative tasks through the workflow manager, processes medical records, appointments and other business transactions through the business processing system, and ensures the safety and compliance of data and transactions through a safety protocol.

The integrated patient database is used to store patient data via big data and retrieve patient information and histories via an indexing and querying system. The comprehensive patient database stores patient-related data including medical history, treatment records and real-time monitoring data for supporting information retrieval.

The diagnosis algorithm of the intelligent diagnosis support system is based on an artificial intelligence technology, a diagnosis and treatment scheme is recommended based on historical data and similar cases, and the diagnosis and treatment scheme is directly connected with equipment through a real-time monitoring interface to acquire monitoring data in real time.

Among them, the biosensor is a key component for data collection in the whole system. For example, an implantable cardiac monitor can continuously monitor cardiac activity and transmit data in real-time. After the data is received and synchronized by the data processing synchronization module, it can be used to detect potential heart rhythm abnormalities, such as ventricular tachycardia, immediately where the intelligent diagnostic support system analyzes the abnormalities, provides possible processing advice, and automatically notifies the medical team to take action if necessary.

Through the highly integrated control platform, the response speed and accuracy of medical services can be greatly improved, and the treatment effect and life quality of patients are finally improved.

After the above embodiments are described, the following operation scenario is provided, and a comprehensive operation description is performed on the cabin-type remote consultation system provided by the embodiments of the present application.

It can be appreciated from the above embodiments that a high definition video and audio communication facility is implemented for real-time communication between a doctor and a patient. Basic and improved medical monitoring devices, including electrocardiographs, blood pressure meters, blood glucose meters, and the like, are used to collect physiological parameters of a patient in real time. The patient has a service cabin body, and basic medical facilities and emergency call buttons are arranged in the service cabin body, so that the privacy and safety of the patient are ensured.

In one possible embodiment, the operational flow is as follows.

The patient enters the cabin and registers or logs in through the identity verification system.

The patient performs self-diagnosis including measuring blood pressure, heart rate, etc., according to the on-screen instructions.

The system automatically transmits the patient's medical data to a remote physician. Doctors conduct face-to-face communication through video connection, inquire about the illness state in detail and check real-time data.

The doctor provides diagnosis results and treatment advice according to the condition of the patient.

If desired, the doctor may remotely prescribe an electronic prescription and the patient may receive and print the prescription in the cabin.

After consultation is finished, the patient can choose to print the diagnosis report and the prescription, and then exit the cabin.

In particular, given that a patient is worried about persistent headache and fatigue, he chooses to use a cabin remote consultation system due to the lack of a professional doctor in the area where he is located. After the patient enters the cabin, the system guides the patient to carry out identity authentication, and the preliminary physiological parameter detection is completed according to the prompt. These data are automatically uploaded to the remote doctor. Doctors communicate face-to-face with patients via video equipment, asking for detailed medical history and current symptoms. The physician looks at the physiological data uploaded by the patient, determines that further examination is needed, and directs the patient to perform the necessary examination using the relevant equipment in the cabin. After confirming the symptoms, the doctor diagnoses possible health problems of the patient and makes treatment suggestions, including lifestyle adjustments and necessary medication. The doctor takes the prescription remotely, and the patient prints the prescription in the cabin immediately.

In this way, the cabin-type remote consultation system successfully provides timely and effective medical services for patients, and greatly facilitates the patients living in remote areas.

In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.

The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description is only of preferred embodiments of the application and is not intended to limit the application to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the application.

Claims

1. The cabin type remote consultation system is characterized by comprising a monitoring unit, a detection cabin, a control platform and a cloud platform;

2. The bilge type remote consultation system of claim 1, wherein the multifunctional camera system is composed of a patient view camera, an instrument view camera and a panorama view camera;

3. The bilge type remote consultation system of claim 2, wherein,

The patient visual angle camera, the instrument visual angle camera and the panoramic visual angle camera are provided with night vision functions;

4. The bilge type remote consultation system of claim 1, wherein the patient interactive display and the on-site doctor handling display are provided with image enhancement software for real-time picture enhancement of images of a display picture.

5. The cabin-type remote consultation system according to claim 1, wherein the multi-parameter electrocardiograph monitoring equipment is internally provided with a high-speed network communication module, a video conference function, an intelligent diagnosis module, a touch screen interface and a voice control module;

for the high-speed network communication module, supporting 4G/5G and Wi-Fi;

6. The bilge remote consultation system of claim 5, wherein the monitoring functions of the multi-parameter electrocardiographic monitoring device include ECG, heart rate, blood pressure, spO2, CO2 tip, body temperature, cardiac output, electro-dermal activity (EDA) monitoring and posture sensors, wherein the EDA monitoring and posture sensors are used to assess pressure levels and physical activity status of the patient.

7. The cabin-type remote consultation system according to claim 1, wherein a display screen of the patient interaction display adopts a high-resolution touch screen, is directly connected with a high-precision biosensor in the detection cabin, and displays physiological data in real time;

8. The bilge remote consultation system of claim 1, wherein said on-site doctor manipulation display includes a VR headset and a handle for providing an immersive visual and operational experience.

9. The capsule type remote consultation system according to any one of claims 1 to 8, wherein in the control platform,