Intelligent waistband and medical data monitoring management system

Abstract

The invention discloses an intelligent waistband and a medical data monitoring management system.The intelligent waistband comprises a waistband body, and the waistband body is provided with a sensing chip used for sensing vital sign signals of the human body, a pressure sensor assembly used for monitoring pressure distribution of different areas of the waist of the human body and a data display assembly; the sensing chip and the pressure sensor assembly are in wireless connection with the data display assembly respectively, measured data are transmitted to the data display assembly and displayed, and the sitting posture state of a user is judged by comparing a pressure value monitored by the pressure sensor assembly with a preset standardized pressure threshold value. The waistband not only can sense vital sign signals of a human body, but also can monitor pressure distribution of different areas of the waist of the human body, and can visually display monitored data. The invention further discloses a medical data monitoring and management system comprising the intelligent waistband, and comprehensive monitoring, real-time collection and efficient management of the health data of the user are achieved.

Description

Technical Field

[0001] This invention relates to the field of medical equipment and medical information monitoring, specifically to an intelligent waist belt and a medical data monitoring and management system. Background Technology

[0002] In modern healthcare systems, patient data collection and management are crucial for medical decision-making. With the continuous development of medical informatization, traditional patient data collection methods, relying primarily on hospital equipment and manual recording, present numerous problems. First, data collection is untimely. Patient health data outside the hospital is difficult to obtain in real time, preventing doctors from gaining a comprehensive understanding of patients' health conditions. Second, data is fragmented. Patient health data is scattered across different devices and systems, lacking effective integration and management. Third, data analysis is inefficient. Large amounts of data require manual processing and analysis, which is time-consuming, labor-intensive, and prone to errors. Finally, the value of the data is not fully utilized. Hospitals struggle to quickly access and analyze patients' historical data in subsequent scientific research and clinical studies.

[0003] As a medical device, the waist belt, having incorporated a sensor chip for detecting vital signs, has become a smart waist belt and a monitor worn around the patient's waist. Existing smart waist belts primarily focus on monitoring vital signs such as heart rate and blood pressure, but lack monitoring capabilities for everyday postures, such as sitting and standing postures.

[0004] Patent document CN215422931U discloses an intelligent lumbar support belt, including a belt body assembly. The belt body assembly has four parallel steel bars inside, and pressure sensors are installed inside the steel bars on both sides. The pressure is displayed in numerical form through an APP. By comparing and analyzing the data, the system automatically prompts the patient on both sides to indicate the amount of force applied. Based on the pressure prompts received, the user can adjust their sitting posture to avoid bending of the waist, thus achieving intelligent management and better assisting the user in postoperative rehabilitation.

[0005] The aforementioned lumbar support belt monitors lumbar pressure solely through pressure sensors within the steel bars on both sides, prompting patients to exert force on both sides. It is primarily designed around lumbar support and pressure monitoring, with limited measurement range and data. It is mainly suitable for postoperative rehabilitation and cannot be widely applied to daily health management, nor can it provide comprehensive support for medical decision-making.

[0006] Meanwhile, this lumbar support belt has some shortcomings and deficiencies in practical applications: First, its data collection range is limited, only monitoring pressure on both sides of the waist, and it cannot collect other vital signs such as heart rate and blood pressure, making it difficult to comprehensively reflect the patient's health status. Second, the belt's data processing and management capabilities are insufficient, only transmitting data to the user's mobile phone via Bluetooth, lacking further data integration and analysis, which is not conducive to doctors' long-term monitoring of patients' health status. Furthermore, its function is relatively simple, mainly focusing on postoperative rehabilitation, lacking monitoring and reminder functions for daily posture, and failing to meet patients' health management needs in different scenarios. Finally, the belt is not integrated with the hospital's central server or AI system, unable to provide data support for hospital scientific research and clinical studies, thus limiting its application value in the medical field.

[0007] In addition, although there are some posture monitoring devices in the existing technology, they usually require additional equipment, such as cushions and back straps, which are inconvenient to use and cannot be integrated with vital sign monitoring functions.

[0008] While existing medical data management systems have addressed data storage and retrieval issues to some extent, they still fall short in terms of data real-time performance, integration, and analytical efficiency. For example, although current systems can store large amounts of patient data, they lack effective technical support for structured data processing and analysis. Furthermore, while existing smart wearable devices can collect patients' physiological data, their data transmission and management methods are relatively simple and cannot meet the needs of medical systems for in-depth data analysis. Additionally, although some posture monitoring devices exist, they typically require additional equipment (such as cushions and back straps), making them inconvenient to use and unable to integrate with vital sign monitoring functions.

[0009] Therefore, developing a medical data management system that can collect patient data in real time, analyze patient posture through data, efficiently integrate and manage data, and perform data analysis through AI technology is of great practical significance. Summary of the Invention

[0010] One of the objectives of this invention is to provide a smart belt that can not only sense vital signs of the human body, but also monitor the pressure distribution in different areas of the waist and display the monitored data intuitively, providing data support for judging whether the user's posture is correct.

[0011] The above-mentioned objective of the present invention is achieved through the following technical solution: a smart belt, comprising a belt body, characterized in that: the belt body is provided with a sensor chip for sensing human vital signs signals, a pressure sensor component for monitoring pressure distribution in different areas of the human waist, and a data display component; the sensor chip and the pressure sensor component are wirelessly connected to the data display component, transmitting the measured data to the data display component and displaying it; the pressure value monitored by the pressure sensor component is compared with a preset standardized pressure threshold to determine the user's sitting posture; the sensor chip is located at the center of the belt body, corresponding to the center point of the third and fourth lumbar vertebrae of the human waist, i.e., the midpoint of the lumbar vertebrae.

[0012] The pressure sensor assembly includes a first pressure sensor, a second pressure sensor, a third pressure sensor, and a fourth pressure sensor. There are two first pressure sensors, symmetrically arranged vertically around the sensor chip, corresponding to the third and fourth lumbar vertebrae of the human body, respectively. There are four second pressure sensors, symmetrically arranged horizontally around the sensor chip, with two sensors on each side of the lumbar vertebrae. The two sensors on each side are vertically arranged, and the four second pressure sensors correspond to the muscle areas on both sides of the lumbar vertebrae. There are two third and four pressure sensors, symmetrically arranged horizontally around the sensor chip. The two third pressure sensors correspond to the lower edge of the ribs on both sides of the waist, and the fourth pressure sensor is located outside the third pressure sensors, at both ends of the waist belt body.

[0013] This invention's smart waist belt not only incorporates a sensor chip for detecting vital signs but also ten pressure sensors for monitoring pressure distribution in different areas of the lower back. This comprehensive monitoring of pressure distribution across the lower back allows for accurate assessment of posture. By strategically placing sensors at key locations such as the midline of the lumbar spine, both sides of the lumbar spine, the lower edges of the ribs on both sides of the lower back, and both ends of the belt, multi-dimensional pressure data can be acquired, providing a more comprehensive and accurate basis for posture evaluation. This layout effectively captures pressure changes in the lower back, promptly detects poor posture, and alerts the user to adjust, thus helping to prevent lower back problems. Compared to existing technologies, this invention's smart waist belt offers a wider measurement range and data coverage, making it suitable not only for postoperative rehabilitation but also for widespread application in daily health management, providing comprehensive support for medical decision-making.

[0014] In this invention, the pressure sensor assembly comprises 10 miniature pressure sensors, evenly distributed on the inner side of the waist belt. The smart waist belt continuously monitors the pressure values ​​of each miniature pressure sensor and compares them in real time with a preset standardized pressure threshold to determine the user's posture. The range of this standardized pressure threshold is determined by collecting user pressure data under different body types and standard postures in advance, combined with the professional judgment of doctors, and comprehensively analyzing the data to set the normal pressure range values ​​of each sensor as the standardized pressure threshold.

[0015] Among them, two primary pressure sensors are used to monitor the vertical pressure distribution of the lumbar spine. If the average pressure value measured by these two sensors exceeds the upper limit of the set positive pressure threshold for the lumbar spine for more than 2 seconds, it may be due to excessive forward curvature of the lumbar spine, which causes the center of gravity to shift forward and increases the burden on the lumbar spine, indicating that the user has a poor posture of forward lumbar tilt.

[0016] Four secondary pressure sensors are located in the muscle areas on both sides of the lumbar spine to monitor the pressure distribution on both sides of the waist. When the difference between the average pressure value of the two secondary pressure sensors on the left side of the body and the average pressure value of the two secondary pressure sensors on the right side exceeds the set lumbar tilt imbalance threshold for more than 2 seconds, it indicates that the user has a poor posture of lumbar tilt.

[0017] Two third pressure sensors are used to monitor lateral pressure on both sides of the waist. When the pressure value of either third pressure sensor exceeds the set upper limit of the lateral pressure threshold for more than 2 seconds, it may be due to excessive tension or twisting of the waist muscles, resulting in uneven pressure distribution, indicating that the user has poor posture such as hunching or excessive twisting of the waist.

[0018] Two fourth pressure sensors are installed at each end of the belt to monitor the belt's fixation and the pressure balance on both sides. When the difference between the pressure values ​​of the two fourth pressure sensors exceeds the set wearing balance threshold for more than 2 seconds, it indicates that the belt is not worn correctly.

[0019] When the system detects any of the above-mentioned poor postures, the data display component will be immediately triggered. Its built-in vibration speaker will generate a tactile vibration for 2 seconds. At the same time, the built-in speaker will play voice prompts such as "Please adjust your posture" to remind the user to correct their posture in time through a combination of sound and vibration.

[0020] In this invention, the first pressure sensor, the second pressure sensor, the third pressure sensor, and the fourth pressure sensor are all square miniature pressure sensors with the same structure. The size of the sensors is 10mm×10mm, and the horizontal distance between the center points of adjacent sensors is 20mm. The vertical height difference between the first pressure sensor and the adjacent second pressure sensor is 2.5mm, and the vertical height difference between the second pressure sensor and the adjacent third pressure sensor is 12.5mm.

[0021] In this invention, the human vital signs signals sensed by the sensor chip include heart rate, blood pressure, and blood oxygen saturation.

[0022] As a further improvement to this invention, the life signal sensing chip built into the smart belt can further expand its functions to achieve real-time data collection of patients' sleep quality, activity levels, and posture. Sleep quality assessment is primarily based on two key physiological parameters: first, by calculating the coefficient of variation (CV) of respiratory rate per unit time to measure sleep stability; a smaller CV indicates more stable sleep; second, by analyzing the ratio of low-frequency (LF) to high-frequency (HF) components in heart rate variability (HRV) (LF / HF) to assess the balance between the sympathetic and parasympathetic nervous systems during sleep; a lower LF / HF ratio generally indicates parasympathetic dominance and better sleep quality. Activity level assessment uses step count as a key parameter. Step count data is collected from patients using motion sensors as a direct indicator of activity level, and activity is categorized into three levels based on step count: low (0-100 steps), medium (101-500 steps), and high (over 500 steps).

[0023] The smart belt of this invention incorporates a built-in vital sign sensor chip. By wearing the smart belt, the system can collect real-time vital sign data, including but not limited to heart rate, blood pressure, blood oxygen saturation, sleep quality, activity level, and posture. The belt uses a pressure sensor array to detect these signals and alerts the user to correct their posture in a combined audio-visual manner.

[0024] In this invention, the main body of the belt is made of polyester fiber, and hook and loop fasteners are provided at both ends of the main body of the belt for connection.

[0025] In this invention, the data display component includes a liquid crystal display screen for displaying data; the data display component also includes an integrated switch button, a data transmission button, a data clear button, a connection port, and a lithium-ion battery.

[0026] In this invention, the data display component is also equipped with a vibration horn.

[0027] The smart belt of this invention integrates multiple functions. It can not only sense the vital signs of the human body and comprehensively collect the patient's vital sign data, including heart rate, blood pressure, blood oxygen saturation, etc., to provide doctors with more comprehensive health information and help to more accurately assess the patient's health status, but also monitor the pressure distribution in different areas of the human waist, which can provide doctors and patients with intuitive monitoring data.

[0028] The second objective of this invention is to provide a medical data monitoring and management system that analyzes the collected vital sign data of patients to achieve comprehensive monitoring, real-time collection, efficient management, and in-depth analysis of user health data.

[0029] The above-mentioned objective of the present invention is achieved through the following technical solution: a medical data monitoring and management system including the above-mentioned smart belt, characterized in that: the management system further includes a PC and a central server, the PC and the central server being wirelessly connected to the sensing chip and the pressure sensor assembly respectively; the PC is capable of receiving patient vital sign data collected by the sensing chip and the pressure sensor assembly, and displaying it in real time on a monitor; the receiving, display, and storage of medical data can be completed remotely, realizing the monitoring and management of medical data; simultaneously, the collected patient vital sign data is automatically transmitted to the central server, and the central server further analyzes the patient's vital sign data by comparing the collected patient vital sign data with preset standardized vital sign data thresholds.

[0030] The medical data monitoring and management system of this invention uses a belt to transmit collected patient vital sign data in real time to the doctor's PC and the hospital's central server via Bluetooth or Wi-Fi technology. Doctors can directly view the patient's vital sign data, and the collected data is automatically transmitted to the hospital's central server. The central server further analyzes the received patient vital sign data by comparing it with preset standardized vital sign data thresholds.

[0031] The patient vital sign data collected by this invention, after being transmitted to the hospital's central server, will be automatically compared and analyzed with preset standardized vital sign thresholds. These standardized vital sign thresholds are established based on extensive historical clinical data, medical guidelines, and physician consensus, defining normal numerical ranges and dynamic variation patterns for different vital sign parameters (such as heart rate and blood pressure).

[0032] The specific data processing procedure is as follows: The management system automatically identifies key information in vital sign data through preset data processing logic. For example, the identification of abnormal data points is achieved by comparing real-time collected patient vital sign data points (such as heart rate and blood pressure) with preset normal threshold ranges corresponding to each parameter. If a patient's vital sign data point continuously exceeds the upper or lower limit of the threshold, it is marked as abnormal. Here, the normal threshold ranges corresponding to each parameter adopt the conventional threshold ranges recognized by each department. The identification of trend changes is achieved by analyzing the slope of the data sequence within a specific time window (such as 24 hours). If a parameter is found to show a continuous upward or downward trend (such as a continuous increase in heart rate over several hours), it is determined to have a significant trend change. Here, the continuous upward or downward trend of the parameter also adopts the trend recognized by each department.

[0033] The present invention can be further improved as follows: the management system automatically extracts and fills the identified key information, such as the occurrence time, degree of deviation, and direction and rate of trend change of abnormal data points, into the corresponding fields of the standardized electronic health record form. This process converts unstructured real-time monitoring data into a structured data format that is easy to store, query, and statistically analyze.

[0034] Finally, the data is stored in the hospital's database, forming a data information repository that facilitates subsequent retrieval and analysis for research. Hospital researchers can quickly access and analyze patient health data through the database management system for use in subsequent disease pattern analysis, clinical decision support, and other research.

[0035] In this invention, the PC also has a voice broadcast module, which broadcasts the collected abnormal human medical data via voice.

[0036] This invention's medical data monitoring and management system, through the deep integration of a smart waist belt and AI technology, achieves real-time collection, efficient integration, and in-depth analysis of patient data. This provides rich data resources for hospital research and contributes to the advancement of medical technology. The smart waist belt transmits data in real-time to doctors' PCs via Bluetooth or Wi-Fi and uploads it to the hospital's central server, achieving efficient data transmission and management. This solves the problem of insufficient data processing capabilities in existing waist belts and improves the scientific rigor and timeliness of medical decisions. The collected human medical data is stored in the central server, and further analysis and processing are performed using AI models. This not only provides doctors with real-time and comprehensive patient health data but also provides rich data resources for hospital research and clinical studies, further promoting the development of medical technology. Attached Figure Description

[0037] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0038] Figure 1 This is a schematic diagram of the overall structure of the smart belt of the present invention;

[0039] Figure 2 This is a schematic diagram of the unfolded structure of the smart belt of the present invention, showing the position and arrangement of the pressure sensor components;

[0040] Figure 3 This is a front view of the smart belt of the present invention;

[0041] Figure 4 This is a side view of the smart belt of the present invention;

[0042] Figure 5 This is a top view of the smart belt of the present invention.

[0043] Figure 6 This is a schematic diagram of the overall framework of this practical medical data monitoring and management system.

[0044] In the diagram: 1. Sensor chip; 2. Data display component; 3. LCD screen; 4. Switch button; 5. Data transmission button; 6. Data clear button; 7. Hook and loop fastener; 8. Waist belt body; 9. Wiring port; 10. Lithium-ion battery; 11. Pressure sensor assembly; 12. Vibration horn; 13. First pressure sensor; 14. Second pressure sensor; 15. Third pressure sensor; 16. Fourth pressure sensor. Detailed Implementation

[0045] like Figures 1 to 5 The smart belt shown includes a belt body 8, which is made of polyester fiber. Both ends of the belt body 8 are provided with hook and loop fasteners 7, which are connected together.

[0046] The main body 8 of the belt is equipped with a sensor chip 1 for sensing human vital signs, a pressure sensor component 11 for monitoring the pressure distribution in different areas of the waist, and a data display component 2. The sensor chip 1 and the pressure sensor component 11 are wirelessly connected to the data display component 2, and transmit the measured data to the data display component 2 for display. The pressure value monitored by the pressure sensor component 11 is compared with a preset standardized pressure threshold to determine the user's sitting posture.

[0047] The sensor chip 1 is located at the center of the waist belt body 8, corresponding to the center point between the third and fourth lumbar vertebrae in the human body, that is, the midpoint of the lumbar spine. The human vital signs signals sensed by the sensor chip 1 include conventional data such as heart rate, blood pressure, and blood oxygen saturation.

[0048] In this embodiment, the pressure sensor assembly 11 includes a first pressure sensor 13, a second pressure sensor 14, a third pressure sensor 15, and a fourth pressure sensor 16. There are two first pressure sensors 13, which are symmetrically arranged vertically around the sensor chip 1, corresponding to the third and fourth lumbar vertebrae of the human body, respectively. There are four second pressure sensors 14, which are symmetrically arranged left and right around the sensor chip 1, with two on each side of the lumbar vertebrae. The two sensors on each side are arranged vertically, and the four second pressure sensors 14 correspond to the muscle areas on both sides of the lumbar vertebrae. There are two third pressure sensors 15 and two fourth pressure sensors 16, which are symmetrically arranged left and right around the sensor chip 1. The two third pressure sensors 15 correspond to the lower edge of the ribs on both sides of the waist, and the fourth pressure sensors 16 are located outside the third pressure sensors 15, at both ends of the waist belt body 8.

[0049] In this embodiment, the first pressure sensor 13, the second pressure sensor 14, the third pressure sensor 15, and the fourth pressure sensor 16 are identical square miniature pressure sensors, each measuring 10mm × 10mm. The horizontal distance between the center points of adjacent sensors is 20mm. The vertical height difference between the first pressure sensor 13 and the adjacent second pressure sensor 14 is 2.5mm, and the vertical height difference between the second pressure sensor 14 and the adjacent third pressure sensor 15 is 12.5mm. The third pressure sensor 15 and the fourth pressure sensor 16 are at the same height. The pressure sensors monitor the pressure values ​​in different areas of the human waist, which doctors use to determine the patient's sitting posture.

[0050] Two primary pressure sensors 13 are used to monitor the vertical pressure distribution of the lumbar spine. If the average pressure value measured by these two sensors exceeds the set upper limit of the lumbar positive pressure threshold for more than 2 seconds, it indicates that the user has a poor posture of forward lumbar flexion. The set upper limit of the lumbar positive pressure threshold is 0.8–1.2 kPa.

[0051] Four secondary pressure sensors 14 are located in the muscle regions on both sides of the lumbar spine to monitor the pressure distribution on both sides of the lower back. When the difference between the average pressure values ​​of the two secondary pressure sensors on the left side and the average pressure values ​​of the two secondary pressure sensors on the right side exceeds a set lumbar tilt imbalance threshold for more than 2 seconds, it indicates that the user has an unhealthy lumbar tilt posture. The set lumbar tilt imbalance threshold is 0.2–0.4 kPa.

[0052] Two third pressure sensors 15 are used to monitor lateral pressure on both sides of the waist. When the pressure value of either third pressure sensor exceeds the set upper limit of the lateral pressure threshold for more than 2 seconds, it indicates that the user has poor posture such as hunching or excessive twisting of the waist. The set upper limit of the lateral pressure threshold is 0.6–0.9 kPa.

[0053] Two fourth pressure sensors 16 are used to monitor the fixation status of the belt and the pressure balance on both sides. When the difference in pressure values ​​between the two fourth pressure sensors exceeds the set wearing balance threshold for more than 2 seconds, it indicates that the belt is not worn correctly. The set wearing balance threshold is 0.15–0.3 kPa.

[0054] In this embodiment, the data display component 2 includes a liquid crystal display screen 3 for displaying data. The data display component 2 also includes a switch button 4, a data transmission button 5, a data clear button 6, a connection port 9, a lithium-ion battery 10, and a vibration horn 12, all integrated using conventional methods. The liquid crystal display screen 3 is a 1.8-inch monochrome segmented liquid crystal display screen, the connection port 9 is a 3.5mm connection port, the lithium-ion battery 10 is a 500mAh lithium-ion battery, and the vibration horn 12 is a miniature vibration horn.

[0055] When using this smart waist belt, patients can turn the device on and off using the switch button 4; select the data collection target and start the data collection function using the data transmission button 5; and turn off the data transmission function using the data clear button 6. The sensor chip 1 is placed in the center of the lumbar spine, close to the patient's lower back skin, thus more accurately and in real time collecting the patient's vital signs data; 10 miniature pressure sensors can detect the user's poor posture and display the data in real time on the LCD screen 3 of the data display component 2. It can also remind the patient to maintain the correct sitting posture through a miniature vibrating speaker 12. When the system detects any poor posture, the data display component will be immediately triggered, and its built-in vibrating speaker will generate a tactile vibration for 2 seconds. At the same time, the built-in speaker will play voice prompts such as "Please adjust your sitting posture," reminding the user to correct their posture in time through a combination of sound and vibration.

[0056] like Figure 6The medical data monitoring and management system shown includes a smart belt, a PC, and a central server. The PC and the central server are wirelessly connected to the sensor chip 1 and the pressure sensor assembly 11 via Bluetooth or Wi-Fi. The PC can receive patient vital sign data collected by the sensor chip 1 and the pressure sensor assembly 11 and display it in real time on a monitor. Medical data can be received, displayed, and stored remotely, enabling monitoring and management of medical data. Simultaneously, the collected patient vital sign data is automatically transmitted to the central server. The central server compares the collected patient vital sign data with preset standardized vital sign data thresholds for further analysis. The PC also has a voice broadcast module, which provides voice broadcast of the collected human medical data.

[0057] As a remote medical data monitoring and management system, doctors can observe the human medical data collected by the sensor chip 1 and pressure sensor assembly 11 in real time through a PC monitor, and intuitively view the patient's real-time vital signs data. For example, doctors can view information such as the patient's heart rate change trend, blood pressure value, blood oxygen saturation, and pressure in different areas of the lower back. This data not only helps doctors understand the patient's health status in real time, but also allows them to determine the patient's sitting posture through pressure values, providing important references for diagnosis and treatment.

[0058] In this embodiment, the collected patient vital sign data, after being transmitted to the hospital's central server, will be automatically compared and analyzed with preset standardized vital sign thresholds to automatically identify key information in the vital sign data. Key information includes abnormal data points and trend changes. Abnormal data points are identified by comparing real-time collected patient vital sign data points (such as heart rate and blood pressure) with preset normal threshold ranges for each parameter (heart rate: 60-100 beats / min, blood pressure thresholds: systolic blood pressure 90-139 mmHg, diastolic blood pressure 60-89 mmHg). If a patient's vital sign data point continuously exceeds the upper or lower limit of the threshold, it is marked as abnormal. Trend changes are identified by analyzing the slope of the data sequence within a specific time window (such as 24 hours). If a parameter (such as heart rate or blood pressure) shows a continuous upward or downward trend, such as a heart rate continuously accelerating within 2-4 hours with an increase ≥15 beats / min; or a systolic blood pressure continuously rising within 6 hours with an increase ≥20 mmHg, then a significant trend change is determined.

[0059] This embodiment uses heart rate and blood pressure as examples to illustrate how to automatically identify abnormal data points and trend changes in vital sign data. Otherwise, the methods for identifying abnormal data points and trend changes in vital sign data such as blood oxygen saturation are similar to those for heart rate and blood pressure.

[0060] After doctors review the data and find no anomalies, the patient's vital signs data can be transmitted to the hospital's central server for storage. By deploying AI models on the server, this stored medical data is structured to create electronic health records for the patient. Doctors can access and analyze this data at any time for research work such as post-disease pattern analysis and clinical decision support, to gain a more comprehensive understanding of the patient's health status and support subsequent diagnosis and treatment. This medical data monitoring and management system, through the introduction of AI model technology, not only improves the intelligence level of data processing but also provides stronger data support for medical decision-making and research.

[0061] The above embodiments of the present invention are not intended to limit the scope of protection of the present invention. The implementation of the present invention is not limited thereto. All other modifications, substitutions or alterations made to the above structure of the present invention based on the above content of the present invention, in accordance with ordinary technical knowledge and common practice in the field, without departing from the basic technical idea of ​​the present invention, shall fall within the scope of protection of the present invention.

Claims

1. A smart belt, comprising a belt body (8), characterized in that: The waist belt body (8) is equipped with a sensor chip (1) for sensing human vital signs signals, a pressure sensor assembly (11) for monitoring the pressure distribution in different areas of the human waist, and a data display assembly (2). The sensor chip (1) and the pressure sensor assembly (11) are wirelessly connected to the data display assembly (2) respectively, and transmit the measured data to the data display assembly (2) and display it. The user's sitting posture is determined by comparing the pressure value monitored by the pressure sensor assembly (11) with a preset standardized pressure threshold. The sensor chip (1) is located at the center of the waist belt body (8), corresponding to the center point of the third and fourth lumbar vertebrae of the human waist, that is, the center of the lumbar vertebrae.

2. The smart belt according to claim 1, characterized in that: The pressure sensor assembly (11) includes a first pressure sensor (13), a second pressure sensor (14), a third pressure sensor (15), and a fourth pressure sensor (16). The first pressure sensor (13) consists of two sensors, symmetrically arranged vertically around the sensor chip (1), corresponding to the third and fourth lumbar vertebrae of the human body, respectively, and is used to monitor the vertical pressure distribution of the lumbar spine. If the average pressure value measured by these two sensors exceeds the set upper limit of the positive pressure threshold of the lumbar spine for more than 2 seconds, it indicates that the user has a poor posture of forward lumbar flexion. The second pressure sensor (14) consists of four sensors, symmetrically arranged horizontally around the sensor chip (1), with two sensors on each side of the lumbar spine. The two sensors on each side are arranged vertically. The four second pressure sensors (14) correspond to the muscle areas on both sides of the lumbar spine and are used to monitor the pressure distribution on both sides of the waist. When the average pressure value of the two second pressure sensors on the left side of the body is higher than that of the two on the right side, the pressure distribution is higher. If the difference in average pressure values ​​of the two second pressure sensors exceeds the set threshold for lumbar lateral tilt imbalance for more than 2 seconds, it indicates that the user has a poor posture of lumbar lateral tilt. There are two third pressure sensors (15) and two fourth pressure sensors (16), which are symmetrically arranged on the left and right with the sensor chip (1) as the center. The two third pressure sensors (15) are respectively located at the lower edge of the ribs on both sides of the waist and are used to monitor the lateral pressure on both sides of the waist. When the pressure value of either third pressure sensor exceeds the upper limit of the set lateral pressure threshold for more than 2 seconds, it indicates that the user has a poor posture of hunching or excessive twisting of the waist. The fourth pressure sensor (16) is located outside the third pressure sensor (15) at both ends of the waist belt body (8) and is used to monitor the fixed state of the waist belt and the pressure balance on both sides. When the difference in pressure values ​​of the two fourth pressure sensors exceeds the set wearing balance threshold for more than 2 seconds, it indicates that the waist belt is not worn correctly.

3. The smart belt according to claim 2, characterized in that: The first pressure sensor (13), the second pressure sensor (14), the third pressure sensor (15) and the fourth pressure sensor (16) are square miniature pressure sensors with the same structure. The size of the sensors is 10mm×10mm, and the left-right distance between the center points of adjacent sensors is 20mm. The vertical height difference between the first pressure sensor (13) and the adjacent second pressure sensor (14) is 2.5mm, and the vertical height difference between the second pressure sensor (14) and the adjacent third pressure sensor (15) is 12.5mm.

4. The smart belt according to claim 2, characterized in that: The sensor chip (1) senses human vital signs signals including heart rate, blood pressure and blood oxygen saturation.

5. The smart belt according to claim 2, characterized in that: The main body (8) of the belt is made of polyester fiber, and hook and loop fasteners (7) are provided at both ends of the main body (8) and are connected by hook and loop fasteners (7).

6. The smart belt according to claim 2, characterized in that: The data display component (2) includes a liquid crystal display screen (3) for displaying data; the data display component (2) also includes an integrated switch button (4), a data transmission button (5), a data clear button (6), a wiring port (9), and a lithium-ion battery (10).

7. The smart belt according to claim 6, characterized in that: The data display component (2) is also equipped with a vibration horn (12).

8. A medical data monitoring and management system comprising the smart belt according to any one of claims 2 to 7, characterized in that: The management system also includes a PC and a central server. The PC and the central server are wirelessly connected to the sensor chip (1) and the pressure sensor assembly (11), respectively. The PC can receive the patient's vital signs data collected by the sensor chip (1) and the pressure sensor assembly (11) and display it in real time on the monitor. The medical data can be received, displayed and stored remotely, and the monitoring and management of the medical data can be realized. At the same time, the collected patient vital signs data is automatically transmitted to the central server. The central server compares the collected patient vital signs data with the preset standardized vital signs data thresholds and further analyzes the patient's vital signs data.

9. The medical data monitoring and management system according to claim 8, characterized in that: The specific process by which the central server compares and analyzes the received patient vital sign data is as follows: The central server automatically identifies key information in the vital sign data, including abnormal data points and trend changes. Abnormal data points are identified by comparing the real-time collected patient vital sign data points with the preset normal threshold ranges for each parameter. If the patient's vital sign data points continuously exceed the upper or lower threshold, they are marked as abnormal. Trend changes are identified by analyzing the slope of the data sequence within a specific time window. If a parameter is found to show a continuous upward or downward trend, it is determined that there is a significant trend change.

10. The medical data monitoring and management system according to claim 9, characterized in that: The management system automatically extracts and fills the key information identified above into the corresponding fields of the standardized electronic health record form, thereby converting the unstructured real-time monitoring data into a structured data format that is easy to store, query and statistically analyze.

Images