Medical communication system based on Internet of Things
By designing a medical communication system based on the Internet of Things that includes patient monitoring, data transmission and security, intelligent analysis and early warning, telemedicine services and a personalized health management platform, the existing system solves the problems of abnormal situation identification, data encryption and user It achieves effective management of the health status of patients with chronic diseases and improves data security by eliminating deficiencies in experience.
Patent Information
- Application Number
- CN202411417525.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2025-01-21
AI Technical Summary
The existing Internet of Things-based medical communication systems have shortcomings in abnormal situation identification, data encryption, user experience, etc., making it difficult to effectively manage the health status of patients with chronic diseases, and there are challenges in data security and user interface friendliness.
A medical communication system based on the Internet of Things is designed, including patient monitoring modules, data transmission and security modules, intelligent analysis and early warning modules, remote medical service modules and personalized health management platforms. The system uses support vector machine supervision learning algorithm for data analysis, using oval curve encryption technology to ensure data security, and improves user experience through intuitive and easy -to -use personalized health management platforms.
It achieves real-time monitoring and intelligent analysis of patients' health status, timely warning of potential health risks, improves data transmission security and user experience, and enhances the scientificity and effectiveness of health management.
Smart Images
Figure CN119339975A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical information technology, and in particular to a medical communication system based on the Internet of Things. Background Art
[0002] In today's society, with the advancement of science and technology and the improvement of people's health awareness, the application of Internet of Things technology in the medical field is becoming more and more extensive. The traditional medical service model often relies on patients to actively seek medical treatment and lacks effective remote monitoring methods, resulting in the inability of many chronic disease patients to be managed in a timely and effective manner. In addition, the security of medical data is also an issue that cannot be ignored, especially during network transmission. How to ensure that patient privacy is not leaked has become a technical problem that needs to be solved urgently.
[0003] In order to improve this situation, a variety of medical communication systems based on the Internet of Things have emerged in recent years. They achieve real-time monitoring of patients' physiological parameters by connecting various wearable devices and home medical devices. However, there are several common problems with existing systems: First, due to the lack of efficient analysis algorithms, it is difficult for the system to accurately identify abnormal situations, and the early warning mechanism is not perfect; second, in terms of data encryption, although there are a variety of encryption technologies to choose from, most technologies are either not secure enough, or the encryption and decryption process is too complicated, time-consuming and occupies a lot of computing resources; finally, in terms of user experience, many system interfaces are complex and inconvenient to operate, which is not conducive to the use of ordinary patients, especially the elderly. Therefore, we propose a medical communication system based on the Internet of Things. Summary of the invention
[0004] The main purpose of the present invention is to provide a medical communication system and preparation method based on the Internet of Things, which can effectively solve the problems in the background technology.
[0005] To achieve the above object, the technical solution adopted by the present invention is: A medical communication system based on the Internet of Things, including a patient monitoring module, a data transmission and security module, an intelligent analysis and early warning module, a telemedicine service module and a personalized health management platform; The patient monitoring module is used to continuously monitor the health status of the patient; The data transmission and security module is responsible for sending the collected data to the cloud or medical institutions through a secure communication protocol; The intelligent analysis and early warning module is used to identify potential health risks and issue early warnings to doctors or patients in a timely manner; The telemedicine service module ensures that doctors can communicate with patients remotely and provide diagnostic advice; The personalized health management platform ensures that patients can view their own health data, treatment plans and medication reminder information.
[0006] Preferably, the patient monitoring module includes a physiological parameter sensor unit, an environmental parameter sensor unit and a wearable device unit. The physiological parameter sensor unit uses physiological sensors to collect the patient's physiological parameters in real time; the environmental parameter sensor unit uses environmental sensors to monitor the conditions of the patient's environment and conduct a comprehensive assessment of the patient's overall health status; the wearable device unit uses wearable devices to facilitate patients to wear them for a long time and continuously monitor data.
[0007] Preferably, the physiological sensor includes a heart rate sensor, a blood pressure sensor and a blood glucose sensor, the environmental sensor includes a temperature sensor and a humidity sensor, and the wearable device includes a smart watch and a wristband.
[0008] Preferably, the data transmission and security module includes an encryption communication unit, a local storage unit and a data compression unit. The encryption communication unit uses encryption technology to ensure the security and integrity of data during transmission; the local storage unit is equipped with a certain storage space on the device, which can temporarily save data when the network is unavailable; the data compression unit compresses the collected data to reduce the bandwidth required for data transmission.
[0009] Preferably, the encryption technology of the encryption communication unit is elliptic curve encryption technology, which is a public key encryption algorithm based on the mathematical principle of elliptic curves.
[0010] Preferably, the intelligent analysis and early warning module includes a data analysis unit, an early warning generation unit and a decision support unit. The data analysis unit uses a machine learning algorithm to analyze the collected data and identify abnormal patterns or trends; the early warning generation unit automatically generates early warning information and notifies relevant medical staff or the patient himself; the decision support unit provides corresponding medical advice or guidance based on the analysis results.
[0011] Preferably, the machine learning algorithm in the data analysis unit is a support vector machine supervised learning algorithm; the warning generation unit uses a statistical algorithm based on standard deviation to make warnings for data; and the decision algorithm of the decision support unit is a hierarchical analysis process algorithm.
[0012] Preferably, the telemedicine service module includes a video conferencing unit, an instant messaging unit and a file sharing unit. The video conferencing unit supports high-definition video calls, enabling doctors to remotely observe patients' symptoms; the instant messaging unit provides text and voice message functions to facilitate daily communication between doctors and patients; the file sharing unit allows for secure sharing of important documents such as medical records and imaging materials.
[0013] Preferably, the personalized health management platform includes a user interface unit, a health report unit and a reminder and notification unit. The user interface unit allows patients to easily access and manage personal information; the health report unit summarizes changes in various indicators of the patient; and the reminder and notification unit helps patients complete the treatment plan on time.
[0014] Preferably, the user interface unit uses histograms, pie charts and curve graphs to manage personal information, and the reminder and notification unit uses medication reminders and review appointment notifications to remind patients.
[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention adopts a supervised learning algorithm with support vector machine as the core, which can efficiently handle classification and regression problems in high-dimensional space, and utilizes the concept of standard deviation in statistics. By analyzing historical data, a reasonable threshold range is set. When the real-time monitored data exceeds the preset normal fluctuation range, the system can issue an early warning signal in time to effectively prevent potential health risks, and introduces a hierarchical analysis process, which is a method combining quantitative and qualitative methods, which can help users make reasonable choices under the influence of complex multiple factors; various algorithms cooperate with each other to improve the scientificity and effectiveness of health management.
[0016] 2. The present invention has built-in elliptic curve cryptography (ECC) technology, which is an advanced public key encryption algorithm. Compared with the traditional RSA encryption method, ECC can use a shorter key length while ensuring the same security level, thereby improving encryption efficiency and reducing computing resource consumption, while protecting user data from the risk of unauthorized access and eavesdropping.
[0017] 3. The present invention provides an intuitive and easy-to-use user interface by setting up a personalized health management platform, so that patients can easily obtain and manage their own health information, lower the technical threshold, and improve the user experience. It can also automatically collect and analyze changes in various physiological indicators of users to form regular health reports, helping doctors and patients track changing trends in health conditions and discover problems in a timely manner. At the same time, it can automatically send reminders according to the patient's treatment plan to ensure that the patient will not miss any important medical activities, such as taking medication, follow-up examinations, etc., thereby improving treatment compliance and promoting the recovery process. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 This is a structural block diagram of a medical communication system based on the Internet of Things of the present invention. DETAILED DESCRIPTION
[0019] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods. Example
[0020] like Figure 1 As shown, a medical communication system based on the Internet of Things includes a patient monitoring module, a data transmission and security module, an intelligent analysis and early warning module, a telemedicine service module and a personalized health management platform; The patient monitoring module is used to continuously monitor the health status of the patient; The data transmission and security module is responsible for sending the collected data to the cloud or medical institutions through a secure communication protocol; The intelligent analysis and early warning module is used to identify potential health risks and issue early warnings to doctors or patients in a timely manner; The telemedicine service module ensures that doctors can communicate with patients remotely and provide diagnostic advice; The personalized health management platform ensures that patients can view their own health data, treatment plans and medication reminder information.
[0021] In this embodiment, the patient monitoring module includes a physiological parameter sensor unit, an environmental parameter sensor unit and a wearable device unit. The physiological parameter sensor unit uses physiological sensors to collect the patient's physiological parameters in real time; the environmental parameter sensor unit uses environmental sensors to monitor the conditions of the patient's environment and conduct a comprehensive assessment of the patient's overall health status; the wearable device unit uses wearable devices to facilitate patients to wear them for a long time and continuously monitor data.
[0022] In this embodiment, the physiological sensors include a heart rate sensor, a blood pressure sensor and a blood sugar sensor, the environmental sensors include a temperature sensor and a humidity sensor, and the wearable devices include a smart watch and a wristband.
[0023] In this embodiment, the data transmission and security module includes an encryption communication unit, a local storage unit and a data compression unit. The encryption communication unit uses encryption technology to ensure the security and integrity of data during transmission; the local storage unit is equipped with a certain storage space on the device, which can temporarily save data when the network is unavailable; the data compression unit compresses the collected data to reduce the bandwidth required for data transmission.
[0024] In this embodiment, the encryption technology of the encryption communication unit is elliptic curve encryption technology, and the elliptic curve encryption technology is a public key encryption algorithm based on the mathematical principle of elliptic curves.
[0025] In this embodiment, the intelligent analysis and early warning module includes a data analysis unit, an early warning generation unit and a decision support unit. The data analysis unit uses a machine learning algorithm to analyze the collected data and identify abnormal patterns or trends; the early warning generation unit automatically generates early warning information and notifies relevant medical staff or the patient himself; the decision support unit provides corresponding medical advice or guidance based on the analysis results.
[0026] In this embodiment, the machine learning algorithm in the data analysis unit is a support vector machine supervised learning algorithm; the warning generation unit uses a statistical algorithm based on standard deviation to make warnings for data; and the decision algorithm of the decision support unit is a hierarchical analysis process algorithm.
[0027] In this embodiment, the telemedicine service module includes a video conferencing unit, an instant messaging unit and a file sharing unit. The video conferencing unit supports high-definition video calls, enabling doctors to remotely observe the patient's symptoms; the instant messaging unit provides text and voice message functions to facilitate daily communication between doctors and patients; the file sharing unit allows for the secure sharing of important documents such as medical records and imaging materials.
[0028] In this embodiment, the personalized health management platform includes a user interface unit, a health report unit, and a reminder and notification unit. The user interface unit allows patients to easily access and manage personal information; the health report unit summarizes the changes in various indicators of the patient; and the reminder and notification unit helps patients complete the treatment plan on time.
[0029] In this embodiment, the user interface unit uses histograms, pie charts and curve graphs to manage personal information, and the reminder and notification unit reminds patients by sending medication reminders and review appointment notifications.
[0030] The present invention adopts support vector machine as the core supervised learning algorithm, which can efficiently handle classification and regression problems in high-dimensional space, and utilizes the concept of standard deviation in statistics. By analyzing historical data, a reasonable threshold range is set. When the real-time monitored data exceeds the preset normal fluctuation range, the system can issue an early warning signal in time to effectively prevent potential health risks. It also introduces a hierarchical analysis process, which is a method combining quantitative and qualitative methods, and can help users make reasonable choices under the influence of complex multiple factors. Various algorithms cooperate with each other to improve the scientificity and effectiveness of health management. Built-in elliptic curve encryption (ECC) technology, which is an advanced public key encryption algorithm, compared with the traditional RSA encryption method, ECC It can use a shorter key length while ensuring the same security level, thereby improving encryption efficiency, reducing computing resource consumption, and protecting user data from unauthorized access and eavesdropping risks; by setting up a personalized health management platform, it provides an intuitive and easy-to-use user interface, allowing patients to easily obtain and manage their own health information, lowering the technical threshold and improving the user experience. It can also automatically collect and analyze changes in various physiological indicators of users to form regular health reports, helping doctors and patients track changing trends in health conditions and identify problems in a timely manner. At the same time, it can automatically send reminders according to the patient's treatment plan to ensure that the patient does not miss any important medical activities, such as taking medication, follow-up examinations, etc., thereby improving treatment compliance and promoting the recovery process.
[0031] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.
Claims
1. A medical communication system based on the Internet of Things, characterized in that: It includes patient monitoring module, data transmission and security module, intelligent analysis and early warning module, telemedicine service module and personalized health management platform; The patient monitoring module is used to continuously monitor the health status of the patient; The data transmission and security module is responsible for sending the collected data to the cloud or medical institutions through a secure communication protocol; The intelligent analysis and early warning module is used to identify potential health risks and issue early warnings to doctors or patients in a timely manner; The telemedicine service module ensures that doctors can communicate with patients remotely and provide diagnostic advice; The personalized health management platform ensures that patients can view their own health data, treatment plans and medication reminder information.
2. The medical communication system based on the Internet of Things according to claim 1, characterized in that: The patient monitoring module includes a physiological parameter sensor unit, an environmental parameter sensor unit and a wearable device unit. The physiological parameter sensor unit uses physiological sensors to collect the patient's physiological parameters in real time; the environmental parameter sensor unit uses environmental sensors to monitor the conditions of the patient's environment and conduct a comprehensive assessment of the patient's overall health status; the wearable device unit uses wearable devices to facilitate patients to wear them for a long time and continuously monitor data.
3. The medical communication system based on the Internet of Things according to claim 2, characterized in that: The physiological sensors include a heart rate sensor, a blood pressure sensor and a blood sugar sensor, the environmental sensors include a temperature sensor and a humidity sensor, and the wearable devices include a smart watch and a wristband.
4. The medical communication system based on the Internet of Things according to claim 1, characterized in that: The data transmission and security module includes an encryption communication unit, a local storage unit and a data compression unit. The encryption communication unit uses encryption technology to ensure the security and integrity of data during transmission; the local storage unit is equipped with a certain storage space on the device, which can temporarily save data when the network is unavailable; the data compression unit compresses the collected data to reduce the bandwidth required for data transmission.
5. The medical communication system based on the Internet of Things according to claim 4, characterized in that: The encryption technology of the encryption communication unit is elliptic curve encryption technology, which is a public key encryption algorithm based on the mathematical principle of elliptic curves.
6. The medical communication system based on the Internet of Things according to claim 1, characterized in that: The intelligent analysis and early warning module includes a data analysis unit, an early warning generation unit and a decision support unit. The data analysis unit uses a machine learning algorithm to analyze the collected data and identify abnormal patterns or trends; the early warning generation unit automatically generates early warning information and notifies relevant medical staff or the patient himself; The decision support unit provides corresponding medical advice or guidance based on the analysis results.
7. The medical communication system based on the Internet of Things according to claim 6, characterized in that: The machine learning algorithm in the data analysis unit is a support vector machine supervised learning algorithm; the warning generation unit uses a statistical algorithm based on standard deviation to make warnings for data; and the decision algorithm of the decision support unit is a hierarchical analysis process algorithm.
8. The medical communication system based on the Internet of Things according to claim 1, characterized in that: The telemedicine service module includes a video conferencing unit, an instant messaging unit and a file sharing unit. The video conferencing unit supports high-definition video calls, allowing doctors to remotely observe patients' symptoms; the instant messaging unit provides text and voice message functions to facilitate daily communication between doctors and patients; the file sharing unit allows for the secure sharing of important documents such as medical records and imaging materials.
9. The medical communication system based on the Internet of Things according to claim 1, characterized in that: The personalized health management platform includes a user interface unit, a health report unit and a reminder and notification unit. The user interface unit allows patients to easily access and manage personal information; the health report unit summarizes changes in various indicators of the patient; and the reminder and notification unit helps patients complete treatment plans on time.
10. The medical communication system based on the Internet of Things according to claim 9, characterized in that: The user interface unit manages personal information using histograms, pie charts and curve charts, and the reminder and notification unit reminds patients by sending medication reminders and review appointment notifications.