Vital sign monitoring system
By designing a health monitoring system for all vital signs in the human body, using multi-sensor parallel acquisition and Internet of Things technology to achieve real-time data upload and display, the shortcomings of existing equipment in portability, real-time and comprehensive monitoring are solved, and comprehensive, accurate and real-time monitoring of human health status is achieved.
Patent Information
- Application Number
- CN202411194447.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-28
- Publication Date
- 2025-03-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing health monitoring equipment has shortcomings in portability, real-time and comprehensive vital sign monitoring, and it is difficult to meet the needs of special groups for comprehensive and real-time monitoring.
A health monitoring system for all vital signs of humans was designed, including a data acquisition module, a central processor, a communication module and a cloud platform. The parallel acquisition and real-time upload of multi-sensor data is realized through a real-time operating system, and the data is transmitted to the cloud platform for real-time display using the Internet of Things technology.
It realizes comprehensive, accurate and real-time detection of all-round vital signs of the human body. The system is portable, simple to operate, suitable for long-term monitoring, and has great diagnostic reference value.
Smart Images

Figure CN119606339A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of human body sign monitoring, and in particular to a human body full vital sign health monitoring system. Background Art
[0002] Existing health monitoring equipment is often concentrated in professional institutions such as hospitals and physical examination centers. The contradiction between the relative scarcity of medical resources and people's increasing demand for health monitoring systems cannot be ignored. People can monitor routine vital signs with instruments such as blood pressure monitors and thermometers at home, but such monitoring instruments are large in size, poor in portability, and require certain professional operation. At present, there are also wearable devices that can monitor human health, but some groups with special needs even require comprehensive and real-time monitoring of vital signs, and these wearable devices cannot solve this problem well. Therefore, it is urgent to have a health monitoring system that is suitable for home and personal use, portable, real-time, and monitors all vital signs. Summary of the invention
[0003] 1. Technical issues to be resolved
[0004] Based on the defects of the prior art and the needs of special groups, the present invention provides a human body full vital signs health monitoring system, which can comprehensively, accurately and real-time detect the health status of the human body.
[0005] (II) Technical solution
[0006] A full vital sign human health monitoring system comprises: a data acquisition module, a central processing unit, a communication module, and a cloud platform; the data acquisition module is used to collect all-round vital sign data of the measured object in real time; the central processing unit is connected to the data acquisition module, and is used to process and classify and store the all-round vital sign data; the central processing unit is a HuaDa semiconductor microprocessor; the communication module is connected to the central processing unit, and is used to receive and update all-round vital sign data of the human body and upload it to the cloud platform; the cloud platform communicates with the communication module, and is used to display the all-round vital sign data of the human body in real time.
[0007] Furthermore, the comprehensive vital signs include: heart rate, electrocardiogram, blood oxygen saturation, diastolic blood pressure, systolic blood pressure, and body temperature data.
[0008] Furthermore, the data collection method between the data collection module and the central processing unit adopts a real-time operating system to achieve parallel collection of multi-sensor data.
[0009] Furthermore, the data acquisition module uses the serial port and I2C protocol to transmit data with the central processor; the central processor and the communication module use AT commands to communicate through the serial port; the data upload module reports a specific JSON message format through the MQTT protocol to bind to the device created by the cloud platform and transmit data.
[0010] Furthermore, the Web visual health monitoring interface is built through application development, the trigger node selects the device trigger through the business logic development function, writes the data receiving script to implement the logical function, and finally pushes the application to the Web visual interface to realize the visual online monitoring function of human vital signs.
[0011] Preferably, the central processing unit sends a start command to the data acquisition module, and the data acquisition module returns a data packet after receiving the start command. The central processing unit receives the data packet and unpacks it to obtain the vital sign data.
[0012] Preferably, the sensor used for collecting heart rate and blood oxygen is PWM2004, the sensor used for collecting electrocardiogram is BMD101, the sensor used for collecting blood pressure is MKB0805, and the sensor used for collecting body temperature data is HDC1080.
[0013] Preferably, the communication module selects 4G communication module EC800M, which is small in size and powerful in function. It supports cloud connection in multiple ways through MQTT, TCP / UDP, HTTP and other protocols, and also supports standard AT commands and python secondary development.
[0014] (III) Beneficial effects
[0015] The above technical solution of the present invention has the following advantages:
[0016] (1) The present invention realizes the collection of all-round vital signs of the human body through multi-sensor fusion, and is more portable than traditional health monitoring equipment, and collects more comprehensive data than other wearable devices;
[0017] (2) The present invention utilizes a real-time operating system to collect multi-sensor data in parallel, supports real-time uploading of multi-sensor data, and achieves efficient data collection.
[0018] (3) The IoT data transmission of the present invention is efficient and stable, and the Web-based visualized health monitoring interface is beautiful and concise.
[0019] (4) The present invention is suitable for long-term monitoring, and the collected comprehensive human vital signs data can be used as a reference for medical staff, which is of great value for disease prevention, diagnosis and treatment. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The technical scheme and features of the present embodiment can be more clearly and intuitively described in conjunction with the accompanying drawings in the embodiments of the present invention. The accompanying drawings are schematic and should not be construed as limiting the present invention in any way. In the accompanying drawings:
[0021] Figure 1 This is an overall block diagram of a human body full vital signs health monitoring system according to an embodiment of the present invention;
[0022] Figure 2 A flowchart of a program design for a human body full vital signs health monitoring system according to an embodiment of the present invention;
[0023] Figure 3 A data receiving diagram of the IoT cloud platform object model according to an embodiment of the present invention;
[0024] Figure 4 It is a Web visualized health monitoring platform according to an embodiment of the present invention;
[0025] Figure 5 It is a logic flow chart of each module of the present invention;
[0026] In the figure: 1: temperature and humidity sensor; 2: ECG sensor; 3: blood oxygen sensor; 4: blood pressure sensor; 5: power supply module; 6: central processing unit; 7: communication module; 8: base station; 9: Alibaba Cloud platform; 10: Web visualization online monitoring interface. DETAILED DESCRIPTION
[0027] The specific implementation methods and technical solutions are further described in detail below in conjunction with the accompanying drawings and embodiments of the present invention. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0028] like Figure 1 As shown, this embodiment designs a human body full vital signs health monitoring system, and the system as a whole includes a data acquisition module temperature and humidity sensor 1, an electrocardiogram sensor 2, a blood oxygen sensor 3 and a blood pressure sensor 4, a power module 5, a central processing unit module 6, a communication module 7, a base station 8, an Alibaba Cloud platform 9 and a Web visualization online monitoring interface 10.
[0029] The sensor data acquisition modules 1-4 collect various human characteristic indicators of the measured object at different positions through the serial port or I2C communication protocol, including but not limited to electrocardiogram, blood oxygen saturation, diastolic blood pressure, systolic blood pressure, body temperature, and heart rate.
[0030] The temperature and humidity sensor 1 communicates using the I2C protocol, and the electrocardiogram sensor 2, the blood oxygen sensor 3 and the blood pressure sensor 4 communicate with the central processor 6 using the serial port protocol.
[0031] ECG sensor 1 integrates complete analog circuits and efficient digital circuits, reliable filtering circuits, ECG electrode contact detection and high-precision analog-to-digital conversion circuits, enabling it to complete high-frequency digital-to-analog conversion tasks. The digital circuit is mainly composed of digital filtering, and its ECG signal processing mode has a low noise level and is suitable for collecting mV-level ECG signals. Different from traditional ECG signal detection, this mode is suitable for ECG signal detection at locations with weak ECG signals such as the neck.
[0032] The central processing unit 6 is mainly used to communicate with the data acquisition modules 1-4 and the communication module 7, analyze and store the human body sign data collected by the sensors, and control the data transmission of the communication module 7 through AT instructions. Since the entire data transmission system is relatively complex, it is difficult for the traditional bare metal to meet the requirements of system stability, high efficiency, real-time performance, etc. At the same time, in order to improve the transmission efficiency and shorten the data collection time, the real-time operating system is transplanted, and the kernel function of the real-time operating system is used to realize the parallel collection and transmission of multi-sensor data. The message queue can be used to realize the communication between threads, and it is suitable for receiving a large amount of data from sensors at the same time to meet the system requirements.
[0033] The power supply module 5 mainly includes a lithium battery and its charging and discharging circuit, which is used to power the data acquisition module, the central processing unit 6 and the communication module 7. Since the power supply ranges of the sensor data acquisition modules 1-4, the central processing unit 6, and the wireless communication module 7 are different, a specific 3.7V to 3.3V voltage conversion chip is required to power each module at the same time.
[0034] The communication module 7 communicates with the central processor 6 and is mainly used to receive data transmitted by the central processor 6 and communicate with the cloud platform 9. With the help of the AT component of the real-time operating system, the entire AT command data interaction process such as the sending of AT commands, format and parameter judgment, reception and analysis of response data, and URC data processing between the central processor 6 and the communication module 7 can be realized. Since the level standards of the communication module 7 and the central processor 6 are different, a corresponding level conversion design needs to be performed between the two.
[0035] like Figure 2As shown, the program flow of the human body full vital signs health monitoring system of the embodiment of the present invention is: first, the system is powered on. When powered on, the central processor 6 not only initializes itself, but also needs to initialize the data acquisition module and the communication module according to different communication protocols. After the initialization is completed, the sensor start command is sent to the data acquisition module 1-4, and it is determined whether the sensor data acquisition module 1-4 returns a data packet, and then the data is unpacked through the sensor driver according to the data frame format of different sensors, and then the data is transmitted to the 4G wireless communication module 7, and the data is uploaded to the Alibaba Cloud platform 9, where the data uplink and downlink can be realized through the topic.
[0036] Alibaba Cloud Platform 9 is used to receive messages from the device side and store various functional attribute data from the device side into the device object model. Figure 3 As shown, first create a product on the Alibaba Cloud platform. In the product, you can define the functions of attributes such as ECG and blood pressure. Then you need to create a device. As a subclass of the product, the device inherits various attributes from the product. You only need to modify different device names to transfer data to a specific device object model. Topic is the "bridge" for communication between the cloud and the device. The communication module can report and download attributes by subscribing to and publishing different Topic classes. The attribute reporting Topic is as follows, / {ProductKey / {deviceName} / thing / event / property / post, where ProductKey and deviceName are the product password and device name respectively, which can be automatically obtained after the product and device are created.
[0037] Web visualization health monitoring interface 10 Figure 4 As shown, it is used to share data with the Alibaba Cloud platform 9 object model and display various human health monitoring data in real time. First, the interface is designed to be aesthetically pleasing through the selection of controls and graphics. Secondly, the configuration of the data source requires business logic development. First, the device trigger node function is selected. If there is data to the cloud platform object model, this function will be triggered. Then, the script program for data transfer is edited through NodeJS or NodePy, and then the application is pushed to the data source. Finally, after the device is debugged online, the business logic function is released online. Finally, the front-end health interface developed in Web visualization can realize real-time transmission and monitoring of human vital signs data.
[0038] The specific process of data transmission and collection of the above-mentioned human body full vital signs health monitoring system is as follows:
[0039] S1. Fix the sensor at a suitable measuring position of the object to be measured, then collect the vital sign data of the object to be measured through each sensor data acquisition unit, perform preliminary data processing on the electrical / optical signal inside the sensor, convert the analog signal into a digital signal, and transmit the signal data frame to the central processor 6.
[0040] S2. The central processor 6 receives the data sent by each sensor, and parses the data frame according to a specific parsing rule and stores the data in an internal storage area.
[0041] S3. After the central processor 6 sends a specific AT command to the communication module 7 to connect the wireless communication module 7 to the cloud server, the communication module 7 converts the data stored in the central processor 6 into a JSON message format and uploads it to the Alibaba Cloud platform 9 through the 4G base station 8 using the MQTT protocol.
[0042] S4. Alibaba Cloud Platform 9 receives and determines different JSON message contents, and the corresponding object model of Alibaba Cloud Platform 9 stores different attribute contents as data sources in the cloud.
[0043] S5. Push the object model data source to the Web visualization interface 10 through the business logic development function, and the user can monitor and evaluate various physiological signs of the person being tested in real time through the Web visualization interface 10.
[0044] 1. The present invention adopts a multi-sensor fusion method to monitor human health and achieves comprehensive collection of human vital signs.
[0045] 2. The present invention flexibly uses serial ports and I2C protocols to communicate between sensors and central controllers, which makes reasonable use of central controller resources and facilitates data transmission.
[0046] 3. The patent of this invention transplants the real-time operating system based on the development of the central controller library function, realizes the parallel collection of sensor data, and truly achieves efficient transmission.
[0047] 4. The full vital signs human health monitoring system designed by the present invention is easy to operate, has strong scalability and portability.
[0048] 5. The central processing unit and sensors used in the present invention are domestic technologies, which are rich in functions and low in price.
[0049] 6. The present invention uses a 4G module to upload human vital signs data to the Alibaba Cloud platform for display through the MQTT protocol, thereby realizing real-time monitoring of human health status.
[0050] 7. The full vital signs data monitoring achieved by the present invention is suitable for long-term monitoring and can provide a reliable reference for medical staff's diagnosis.
Claims
1. A vital signs monitoring system, characterized in that: It includes a data acquisition module for collecting the electrocardiogram, blood oxygen saturation, diastolic pressure, systolic pressure, body temperature, heart rate, and vital signs data of the subject. The central processing unit is used to parse, process, and store the various physiological signs data collected by each acquisition module, and transmit the processed data to the communication module. The communication module uses a 4G module to communicate with the above-mentioned central processing unit, receive data from the processor and upload it to the cloud platform in real time. In the cloud, the data of the cloud platform background is configured as the front-end data source through Web visualization development, and various physiological characteristics of the human body can be remotely displayed in real time.
2. A vital sign monitoring system according to claim 1, characterized in that: The communication method between the data acquisition module and the central processing unit adopts serial communication and I2C communication for data transmission. The communication method between the central processing unit and the communication module adopts serial communication. The communication module adopts 4G wireless communication technology to communicate with the cloud through the base station. The communication module transmits data with the cloud platform through the MQTT protocol.
3. A vital sign monitoring system according to claim 1, characterized in that: The central processing unit sends a start command to the data acquisition module through a serial port or an I2C communication method. After receiving the start command from the central processing unit, the data acquisition module starts to send data frames to the central processing unit. The central processing unit module can obtain the various human body characteristic indicators by parsing the data frames sent by the data acquisition module.
4. A vital sign monitoring system according to claim 1, characterized in that: The real-time operating system is used to realize multi-sensor parallel data collection through multi-threading, and the data collection results are stable and reliable.
5. A vital sign monitoring system according to claim 1, characterized in that: The data acquisition module includes a temperature and humidity sensor to collect human body temperature and air humidity, an electrocardiogram sensor to collect human electrocardiogram, a blood pressure sensor to collect human diastolic and systolic blood pressure and heart rate, and a blood oxygen sensor to collect blood oxygen saturation, heart rate and other information.
6. A vital sign monitoring system according to claim 1, characterized in that: The communication module can connect to the cloud platform via the MQTT protocol, or via TCP / UDP or the like.
7. A vital sign monitoring system according to claim 1, characterized in that: After the cloud platform creates products, equipment, and defines object model attributes, a triplet is obtained. The communication module can bind to the equipment created by the cloud platform and perform data transmission by reporting a specific JSON message format.
8. A vital sign monitoring system according to claim 1, characterized in that: On the cloud platform, by utilizing the business logic development function, setting the device trigger node, and writing the NodeJS script code to implement the logic function, the data source can be pushed to the web visualization interface to realize the real-time monitoring and display of the data collected by the device end in the cloud.
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