Smart medical nursing interactive image processing algorithm based on 5g and internet of things technology

Abstract

The present invention relates to the technical field of intelligent medical care. Provided is a smart medical nursing interactive image processing algorithm based on 5G and Internet of Things technology. The smart medical nursing interactive image processing algorithm comprises: receiving real-time image data from a medical device by means of a 5G network; using the Internet of Things to perform pre-processing, including denoising, deblurring and image enhancement, on the received image data; and inputting the pre-processed image data into a deep learning model for feature extraction and classification. Real-time image data from a medical device is received by means of a 5G network, thereby greatly shortening the data transmission time, such that a doctor and a nurse can more quickly acquire information of a patient's state of illness, thus making timely diagnosis and treatment decisions. A medical nursing instruction is automatically generated on the basis of an image classification result, thereby reducing the time and errors in manual intervention, and improving the efficiency of medical nursing.

Description

Smart medical care interactive image processing algorithm based on 5G and Internet of Things technologies Technical Field

[0001] The present invention relates to the field of smart medical technology, and specifically to a smart medical care interactive image processing algorithm based on 5G and Internet of Things technologies. Background Art

[0002] In today's digital age, the medical field is facing a growing demand for efficient and accurate diagnosis and care. Traditional medical care models have many limitations in image data processing, such as slow data transmission speeds, poor image quality that affects diagnostic accuracy, and inefficient and error-prone manual instruction generation.

[0003] With the rapid development of 5G technology, its high bandwidth and low latency enable the rapid transmission of real-time image data from medical devices. IoT technology is also advancing. Technologies such as wireless sensor networks and radio frequency identification enable wireless communication and data transmission between devices, laying the foundation for intelligent medical care.

[0004] At the same time, deep learning technology has achieved significant breakthroughs in image recognition and classification. The combination of convolutional neural networks and recurrent neural networks provides a powerful tool for extracting image features and accurately classifying them. The diversity of the global medical environment requires algorithms that can adapt to language and cultural differences across countries and regions. Furthermore, user-friendly interfaces are crucial for improving the efficiency of medical staff and managers. Summary of the Invention

[0005] In response to the shortcomings of existing technologies, the present invention provides an intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technologies, which solves the pain points in the traditional medical care model, improves the efficiency, accuracy and reliability of medical care, and meets the development needs of modern medicine.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart medical care interactive image processing algorithm based on 5G and Internet of Things technology, comprising the following steps:

[0007] Step 1: Receive real-time image data from medical equipment via the 5G network;

[0008] Step 2: Use the Internet of Things to pre-process the received image data, including noise reduction, deblurring, and image enhancement;

[0009] Step 3: Input the preprocessed image data into the deep learning model for feature extraction and classification;

[0010] Step 4: Based on the classification results, corresponding medical care instructions are automatically generated and sent to the corresponding medical equipment or caregivers via the 5G network;

[0011] Step 5: Receive confirmation feedback from medical devices or caregivers and conduct real-time monitoring and adjustments through IoT technology.

[0012] Preferably, the deep learning model includes a combination of a convolutional neural network and a recurrent neural network, which is used to extract features in the image and perform classification.

[0013] Preferably, the pre-processing step further includes image segmentation, which is used to segment different areas in the image for independent processing and analysis.

[0014] Preferably, the Internet of Things includes a wireless sensor network and radio frequency identification for realizing wireless communication and data transmission between devices.

[0015] Preferably, the medical care instructions include medication management, disease monitoring, rehabilitation training and first aid measures.

[0016] Preferably, the real-time monitoring and adjustment includes continuous monitoring and analysis of image data and automatic adjustment of medical care instructions as needed.

[0017] Preferably, the intelligent medical care interactive image processing algorithm also includes a security module for encrypting transmitted data and preventing unauthorized access.

[0018] Preferably, the intelligent medical care interactive image processing algorithm can be run on a cloud server or a local computing device.

[0019] Preferably, the intelligent medical care interactive image processing algorithm supports multi-language and multi-cultural adaptation so as to be applicable to medical environments in different countries and regions.

[0020] Preferably, the intelligent medical care interactive image processing algorithm also includes a user-friendly interface to facilitate use and operation by medical personnel and managers.

[0021] The present invention provides an intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technologies.

[0022] It has the following beneficial effects:

[0023] 1. This invention receives real-time image data from medical devices via a 5G network, significantly reducing data transmission time. This allows doctors and caregivers to more quickly obtain patient information and make timely diagnosis and treatment decisions. Automatically generating medical care instructions based on image classification results reduces the time and errors associated with manual intervention and improves medical care efficiency. For example, in an emergency, the system can quickly generate first aid instructions, buying precious time for patients to receive treatment.

[0024] 2. This invention utilizes a combined deep learning model of convolutional neural networks and recurrent neural networks to fully extract features from images and accurately classify them. This allows for the detection of lesions and abnormalities that are difficult to detect using traditional methods, providing doctors with a more accurate basis for diagnosis. Furthermore, image preprocessing, including noise reduction, deblurring, and image enhancement, and image segmentation, which allows for independent processing and analysis of different regions, results in clearer and more accurate images, helping doctors more accurately diagnose conditions.

[0025] 3. This invention uses IoT technology to continuously monitor and analyze image data, enabling real-time understanding of changes in a patient's condition. Doctors and caregivers can stay updated on the patient's condition and adjust treatment plans promptly. This technology uses IoT technology to continuously monitor and analyze image data, enabling real-time understanding of changes in a patient's condition. Doctors and caregivers can stay updated on the patient's condition and adjust treatment plans promptly. Medical care instructions are automatically adjusted based on monitoring results, ensuring that treatment plans are always adapted to the patient's actual situation and improving treatment effectiveness.

[0026] 4. The present invention can be run on a cloud server or a local computing device, providing a flexible option for medical institutions. The cloud server has powerful computing and storage capabilities and is suitable for processing large amounts of data; the local computing device can ensure the normal operation of the system even in situations such as network interruptions, thereby improving the reliability of the system. It also supports multi-language and multi-cultural adaptation, allowing the algorithm to be applicable to medical environments in different countries and regions. This helps promote the sharing and exchange of global medical resources and improve the overall development of medical standards. It is also equipped with a user-friendly interface to facilitate the use and operation of medical staff and managers. The concise and clear interface design reduces the difficulty of operation and training costs, improves work efficiency, and also improves user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] FIG1 is a schematic flow diagram of the present invention;

[0028] FIG2 is a schematic diagram of a combination of deep learning models in the present invention;

[0029] FIG3 is a schematic diagram of the Internet of Things architecture in the present invention;

[0030] FIG4 is a schematic diagram of the architecture of the medical care instructions of the present invention;

[0031] FIG5 is a schematic diagram of the architecture of real-time monitoring and adjustment in the present invention;

[0032] FIG6 is a functional diagram of the security module of the present invention;

[0033] FIG7 is a functional diagram of the user-friendly interface of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solution of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] Referring to Figures 1 to 7 , an embodiment of the present invention provides an intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technologies, including the following steps:

[0036] Image data reception: Receive image data from various medical devices in real time through the high-speed and stable 5G network. The low latency and high bandwidth characteristics of the 5G network ensure the rapid transmission of image data, providing a solid foundation for subsequent processing and analysis;

[0037] Image preprocessing: Leveraging IoT technology to perform comprehensive preprocessing on received image data. This includes noise reduction, which removes noise interference from the image to make it clearer; deblurring, which improves image clarity and readability; and image enhancement, which enhances image contrast and brightness to highlight key information.

[0038] In addition, image segmentation is performed to separate different areas in the image for independent processing and analysis. For example, a patient's specific organs or lesion areas can be segmented for more accurate diagnosis and treatment.

[0039] Deep Learning Model: The pre-processed image data is fed into a deep learning model for feature extraction and classification. This deep learning model, which is a combination of convolutional neural networks and recurrent neural networks, can effectively extract features from images and accurately classify them.

[0040] Convolutional neural networks excel at processing image data and can extract both local and global features. Recurrent neural networks can process sequential data and analyze and process the time series information in images. The combination of the two improves the accuracy and reliability of image classification.

[0041] Medical care order generation: Based on the classification results of the deep learning model, corresponding medical care orders are automatically generated. These orders include medication management, disease monitoring, rehabilitation training, and first aid measures. For example, if the image classification results indicate that the patient needs medication, the system will automatically generate medication management orders, including the type of medication, dosage, and usage method.

[0042] Instruction transmission and feedback: Generated medical care instructions are sent to the corresponding medical equipment or caregivers via the 5G network. After receiving the instructions, the medical equipment or caregivers can provide confirmation and feedback. The system receives this feedback information through IoT technology and conducts real-time monitoring and adjustments.

[0043] Real-time monitoring and adjustment: Continuously monitor and analyze image data to understand changes in the patient's condition in real time. As needed, the system can automatically adjust medical care instructions to ensure the effectiveness and timeliness of treatment plans. For example, if a patient's condition changes, the system can automatically adjust medication dosage or treatment plans.

[0044] Security Module: To ensure data security and privacy, the intelligent medical care interactive image processing algorithm of the present invention also includes a security module. This module encrypts transmitted data to prevent unauthorized access. It also authenticates and authorizes users, ensuring that only authorized users can access and use the system.

[0045] The intelligent medical care interactive image processing algorithm of the present invention can be run on a cloud server or a local computing device. Cloud servers have powerful computing and storage capabilities, enabling them to process large amounts of image data and medical care instructions. Local computing devices can run offline, ensuring the system remains functional even in the event of a network outage.

[0046] To adapt to medical environments in different countries and regions, the intelligent medical care interactive image processing algorithm of the present invention supports multilingual and multicultural adaptation. The system can automatically switch language and cultural settings according to user needs, making it easier for medical staff and managers to use and operate.

[0047] The intelligent medical care interactive image processing algorithm of the present invention also includes a user-friendly interface. This interface is concise and easy to use, making it convenient for medical staff and management personnel to use and operate. It can display image data, medical care instructions, real-time monitoring information, etc., and users can use the interface to confirm instructions, provide feedback, and make adjustments.

[0048] The implementation effect of this embodiment is: Improved medical care efficiency: Through the combination of 5G network and Internet of Things technology, rapid transmission and processing of image data is achieved, and medical care instructions are automatically generated, which reduces manual intervention and improves medical care efficiency;

[0049] Improved diagnostic accuracy: The application of deep learning models can effectively extract features from images and accurately classify them, improving the accuracy and reliability of diagnosis;

[0050] Real-time monitoring and adjustment: Through continuous monitoring and analysis of image data, we can understand the changes in the patient's condition in real time, automatically adjust medical care instructions, and ensure the effectiveness and timeliness of treatment plans;

[0051] Data security and privacy protection: The application of security modules ensures the security and privacy of data and prevents unauthorized access;

[0052] Multilingual and multicultural adaptation: Supports multilingual and multicultural adaptation, making it easier for medical staff and managers in different countries and regions to use and operate;

[0053] User-friendly interface: The concise and clear user-friendly interface is easy to operate and improves the user experience;

[0054] In summary, the smart medical care interactive image processing algorithm based on 5G and Internet of Things technologies of the present invention has the characteristics of high efficiency, accuracy, real-time, security, multilingualism and user-friendliness, providing strong support for the development of the field of smart medical care.

[0055] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology, characterized by: The following steps are involved: Step 1: Receive real-time image data from medical equipment via the 5G network; Step 2: Use IoT to pre-process the received image data, including noise reduction, deblurring, and image enhancement; Step 3: Input the preprocessed image data into the deep learning model for feature extraction and classification; Step 4: According to the classification results, the corresponding medical care instructions are automatically generated and sent to the corresponding medical equipment or caregivers through the 5G network; Step 5: Receive confirmation feedback from medical devices or caregivers, and monitor and adjust in real time through IoT technology.

2. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The deep learning model includes a combination of a convolutional neural network and a recurrent neural network, which is used to extract features from images and perform classification.

3. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The preprocessing step also includes image segmentation, which is used to segment different areas in the image for independent processing and analysis.

4. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The Internet of Things includes wireless sensor networks and radio frequency identification, which are used to achieve wireless communication and data transmission between devices.

5. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The medical care instructions include medication management, condition monitoring, rehabilitation training and emergency measures.

6. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The real-time monitoring and adjustment includes continuous monitoring and analysis of image data and automatic adjustment of medical care instructions as needed.

7. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The intelligent medical care interactive image processing algorithm also includes a security module for encrypting transmitted data and preventing unauthorized access.

8. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The intelligent medical care interactive image processing algorithm can be run on a cloud server or a local computing device.

9. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The intelligent medical care interactive image processing algorithm supports multi-language and multi-cultural adaptation so as to be applicable to medical environments in different countries and regions.

10. The intelligent medical care interactive image processing algorithm based on 5G and Internet of Things technology according to claim 1 is characterized by: The intelligent medical care interactive image processing algorithm also includes a user-friendly interface for facilitating use and operation by medical personnel and management personnel.

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