Wearable cardiovascular health monitoring equipment based on artificial intelligence and environment adaptability analysis system thereof

Abstract

The invention provides wearable cardiovascular health monitoring equipment based on artificial intelligence, an environment adaptability analysis system of the wearable cardiovascular health monitoring equipment and a use method of the wearable cardiovascular health monitoring equipment, and aims to provide real-time and comprehensive cardiovascular health monitoring and risk assessment. And the health condition of the user and the influence of the external environment are comprehensively monitored. Through a built-in wireless communication module, the equipment can transmit collected data to mobile equipment or a cloud server of a user in real time. In addition, the system also comprises an AI analysis module which performs complex data analysis by using indexes such as heart rate variability (HRV) and the like so as to evaluate the cardiovascular health state of the user and predict the potential risk. The device also provides a personalized suggestion generator which provides lifestyle adjustment suggestions to the user according to the analysis result. A user can intuitively obtain own health data, risk assessment and life improvement suggestions through interactive interfaces such as a mobile application program (APP) and a smart watch / bracelet.

Description

Technical Field

[0001] The present invention relates to the field of cardiovascular health monitoring technology, and in particular to an artificial intelligence-based wearable cardiovascular health monitoring device and an environmental adaptability analysis system thereof. Background Art

[0002] With the aging of society and the increasing incidence of cardiovascular diseases, the demand for personal health management is increasing. Currently, most health monitoring devices on the market focus on monitoring a single physiological parameter, such as heart rate or blood pressure, while ignoring the impact of environmental factors on cardiovascular health. In addition, these devices usually lack advanced data analysis capabilities and cannot provide in-depth health insights and prevention recommendations.

[0003] Cardiovascular disease is one of the leading causes of death worldwide, and its incidence is related to a variety of factors, including genetics, lifestyle habits, and environmental conditions. Traditional health monitoring devices often ignore the potential impact of environmental factors on cardiovascular health, such as air quality, temperature, humidity, and noise, which are important external factors that may affect heart rate and blood pressure. In addition, these devices are not perfect for long-term health trend analysis and early warning mechanisms, and cannot provide users with a comprehensive health risk management solution.

[0004] The development of modern technology has provided the possibility to solve these problems. By integrating advanced sensor technology, wireless communication, and artificial intelligence algorithms, a new type of wearable health monitoring device can be designed, which can monitor the user's cardiovascular health status in real time and conduct comprehensive analysis in combination with external environmental data, thereby achieving accurate health risk assessment and management. Such a device will greatly improve the effectiveness of personal health management and provide users with a scientific, comprehensive and convenient health management tool.

[0005] Therefore, it is necessary to develop a new type of wearable cardiovascular health monitoring device based on artificial intelligence and its environmental adaptability analysis system, which can not only monitor key physiological parameters in real time, but also fully consider the influence of environmental factors, and provide users with accurate health risk assessment and personalized life guidance through advanced data analysis. Through this device, users can better understand their cardiovascular health status and take appropriate preventive measures to reduce the risk of cardiovascular disease and improve the overall quality of life. Summary of the invention

[0006] 1. Technical Problems Solved

[0007] The technical problem to be solved by the present invention is to provide an artificial intelligence-based wearable cardiovascular health monitoring device and its environmental adaptability analysis system for comprehensively monitoring the user's cardiovascular health status and conducting a comprehensive analysis in combination with environmental factors, aiming to provide accurate health risk assessment and personalized lifestyle guidance, in response to the above problems.

[0008] 2. Technical Solution

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a wearable cardiovascular health monitoring device based on artificial intelligence and an environmental adaptability analysis system thereof, comprising a heart rate sensor, a blood pressure sensor, an environmental sensor, a data storage unit and a wireless communication module;

[0010] The heart rate sensor is used to continuously monitor the user's heart rate changes, the blood pressure sensor is used to non-invasively measure the user's blood pressure, the environmental sensor is used to monitor the meteorological conditions and pollution levels of the user's environment, the data storage unit is used to save the collected physiological and environmental data, and the wireless communication module enables the device to transmit data to an external device.

[0011] Furthermore, the heart rate sensor signal is connected to an AI analysis module, which uses heart rate variability indicators to perform data analysis to assess the user's cardiovascular health status and risks. The AI ​​analysis module signal is connected to a personalized suggestion generator, which provides lifestyle adjustment suggestions based on the AI ​​analysis results.

[0012] Furthermore, the signal on the wireless communication module is connected to a user interaction interface, and the user interaction interface includes a mobile application and one of a smart watch, a bracelet or headphones, wherein the mobile application displays the user's physiological parameters, environmental data, HRV indicators, cardiovascular risk assessment and lifestyle improvement suggestions, and one of the smart watch, bracelet or headphones displays key physiological parameters in real time and provides instant warnings or notifications when necessary.

[0013] Furthermore, the mobile application includes device operating software, data analysis software, user customized software and communication interface software. The device operating software is used to control the collection, processing and storage of sensor data. The data analysis software is used to execute the algorithms and data processing procedures of the AI ​​analysis module. The user customized software is used to adjust the device settings and alarm thresholds according to user preferences and needs. The communication interface software is used to manage data transmission between the wireless communication module and external devices.

[0014] Furthermore, the user interaction interface includes a visual data display module, an interactive control panel, a health education content push module and an emergency response system. The visual data display module presents the user's cardiovascular health data in the form of charts and numerical values. The interactive control panel allows the user to adjust device settings and view historical data. The health education content push module provides knowledge and improvement suggestions about cardiovascular health. The emergency response system automatically notifies the user and prompts him to take action when abnormal physiological signals are detected.

[0015] A method for monitoring cardiovascular health, comprising the steps of:

[0016] S1, automatically collect the user's physiological and environmental data through the device;

[0017] S2, transmits data to the user's mobile device or cloud through the built-in wireless module;

[0018] S3. Use the AI ​​analysis module to regularly process the collected data to generate HRV indicators, cardiovascular risk assessment reports and lifestyle recommendations;

[0019] S4. Use HRV indicators for data analysis to more accurately assess cardiovascular health status and predict potential risks, allowing users to view relevant information and obtain guidance through mobile apps.

[0020] A computer program product, when executed on an artificial intelligence-based wearable cardiovascular health monitoring device and its environmental adaptability analysis system, the program is capable of performing the method steps defined in claim 6 or 7.

[0021] A non-transitory computer readable medium having a computer program product stored thereon.

[0022] Furthermore, the environmental sensor is at least one of a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a light intensity sensor, an ultraviolet index sensor, and a sound intensity sensor.

[0023] Furthermore, S3 also includes the step of comparing the user's physiological data with a large amount of population statistics to determine the relative position of personal health data in the population. S3 also includes the step of automatically adjusting the device sampling frequency and alarm threshold according to the user's cardiovascular risk assessment results. S3 also includes using GPS positioning to record the user's activity route, combining environmental sensor data to evaluate the environmental impact during outdoor activities. S3 also includes integrating third-party health data services, such as electronic medical records, hospital databases, etc., to provide more comprehensive health analysis and recommendations. Skin resistance sensors and respiratory rate sensors are used in S1 to obtain health data of more dimensions. When viewing information, S4 includes a step of verifying the user's identity to ensure the privacy and security of health data.

[0024] Furthermore, the heart rate sensor uses photoplethysmography technology, which monitors changes in blood flow by illuminating the skin and measuring changes in light absorption, and then calculates heart rate data.

[0025] Furthermore, the blood pressure sensor uses oscillometer technology or pressure sensor technology to continuously monitor the user's blood pressure non-invasively through the wrist or fingertips.

[0026] Furthermore, the wireless communication module supports at least one of Bluetooth, Wi-Fi, NFC and other wireless data transmission technologies.

[0027] Furthermore, the mobile application provides a dashboard function where users can view cardiovascular health indicators in real time and understand whether the current health status is within the normal range through color coding.

[0028] Further, data analytics software includes machine learning algorithms and statistical models to analyze long-term health trends, identify potential health problems, and provide prevention strategies.

[0029] Furthermore, the health education content push module provides regularly updated health tips, video tutorials, interactive Q&A, and a user community communication platform.

[0030] Furthermore, the program includes a modular design, and specific functional modules can be added or removed according to user needs.

[0031] Furthermore, the program also includes self-diagnosis and repair functions to improve system stability and reliability.

[0032] Furthermore, the program can also synchronize with the cloud service platform to restore user data and configuration when the device is lost or replaced.

[0033] Furthermore, the program also includes data encryption and anonymization functions to ensure that user privacy is not leaked.

[0034] Furthermore, the program also includes user behavior analysis and pattern recognition functions for identifying correlations between user behavior and health conditions.

[0035] The advantages of the present invention are:

[0036] 1. Comprehensive monitoring: Combining physiological and environmental data, it provides 360-degree cardiovascular health monitoring, thus capturing all key factors that may affect the user's health without omission;

[0037] 2. Accurate analysis: Use AI to analyze data and improve the accuracy of health risk assessment. Through machine learning and statistical analysis, the device can learn from large amounts of data and identify subtle changes and patterns in health risks;

[0038] 3. Personalized recommendations: Tailor guidance and recommendations for improving health based on the user’s unique situation. This customized approach ensures that recommendations are more relevant and practical, increasing the likelihood that users will follow the recommendations;

[0039] 4. User experience: Intuitive and easy-to-use interactive interface improves user convenience and comfort. Users can easily understand and operate the device, making daily health management seamless and intuitive;

[0040] 5. Prevention first: Help reduce the incidence of cardiovascular disease through early detection and continuous monitoring. The equipment not only helps to identify existing health problems, but also predicts potential risks so that preventive measures can be taken in advance;

[0041] 6. Promote a healthy lifestyle: In addition to monitoring and analysis, the device also encourages users to adopt positive lifestyle changes, such as increasing physical activity and improving eating habits, which can help improve quality of life and long-term well-being;

[0042] 7. Reduce the burden on the medical system: Through self-management and monitoring of health, dependence on medical resources can be reduced, especially in the management of chronic diseases, which helps to reduce the burden on the already strained medical system. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] It should be noted that all directional indications such as up, down, left, right, front, back, etc. in the embodiments of the present invention are only used to explain a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0045] In addition, in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0046] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the invention.

[0047] The monitoring device consists of the following hardware components:

[0048] Heart rate sensor: Uses photoplethysmography technology to monitor changes in blood flow by irradiating the skin and measuring changes in light absorption, thereby accurately calculating heart rate data.

[0049] Blood Pressure Sensor: Utilizes oscillometer technology or pressure sensor technology to non-invasively and continuously monitor the user's blood pressure at the wrist or fingertips.

[0050] Environmental sensors: including temperature sensors, humidity sensors, atmospheric pressure sensors, light intensity sensors, UV index sensors, and sound intensity sensors, etc., which are used to monitor the meteorological conditions and pollution levels of the user's environment.

[0051] Data storage unit: used to store the collected physiological and environmental data for subsequent analysis.

[0052] Wireless communication module: supports wireless data transmission technologies such as Bluetooth, Wi-Fi, and NFC, enabling the device to transmit data to external devices such as smartphones or cloud servers.

[0053] In terms of software composition, the device includes:

[0054] AI Analysis Module: Uses the heart rate variability (HRV) indicator for data analysis to assess the user's cardiovascular health status and risk. HRV is an important indicator for measuring autonomic nervous system activity and is closely related to cardiovascular health. This module also includes machine learning algorithms and statistical models to analyze long-term health trends, identify potential health problems, and provide prevention strategies.

[0055] Personalized Recommendation Generator: Based on AI analysis results, it provides lifestyle adjustment suggestions, such as diet improvement, appropriate exercise plans, etc., to help users improve their cardiovascular health.

[0056] The design of the user interface focuses on user experience, mainly including:

[0057] Mobile application (APP): Provides a dashboard function, where users can view cardiovascular health indicators in real time and understand whether the current health status is within the normal range through color coding. At the same time, the APP also provides functions such as historical data query, health education content push, and community communication platform.

[0058] Smart watches / bracelets or headphones: with vibration and / or sound alarm functions to immediately notify users when physiological parameters are abnormal, and display key physiological parameters in real time through LEDs or displays.

[0059] The present invention will now be further described with reference to embodiments.

[0060] Embodiment 1

[0061] User Background:

[0062] Mr. Zhang, 45 years old, is a moderate office worker with mild hypertension symptoms. He is concerned about his cardiovascular health and hopes to better manage his health through technology.

[0063] Implementation steps:

[0064] 1. Equipment wearing and initialization:

[0065] Mr. Zhang wore a wearable health monitoring device that included a heart rate sensor, a blood pressure sensor, and an environmental sensor.

[0066] According to the instructions, wear the device on your wrist and perform initial settings through the accompanying mobile application (APP), including entering personal basic information, health history, lifestyle habits and other information.

[0067] 2. Daily data collection and transmission:

[0068] The device automatically records Mr. Zhang's heart rate, blood pressure and other physiological parameters, and monitors the air quality, temperature and humidity of his environment in real time.

[0069] These data are sent to Mr. Zhang’s mobile phone APP in real time through the built-in wireless module and uploaded to the cloud server simultaneously.

[0070] 3. Data analysis and risk assessment:

[0071] The cloud server uses a pre-set AI analysis module to process and analyze the collected data, especially using the HRV indicator to assess cardiovascular health levels and potential risks.

[0072] During the analysis process, the system will consider multiple factors such as Mr. Zhang's age, gender, body mass index (BMI), lifestyle habits, etc. to generate an accurate health report.

[0073] 4. Generate personalized recommendations:

[0074] Based on the analysis results, the system generates a personal health report for Mr. Zhang and makes specific suggestions for lifestyle adjustments, such as increasing aerobic exercise time, improving diet structure, and reducing work stress.

[0075] These recommendations are pushed to Mr Zhang via a mobile app, with detailed explanations and further health information provided when needed.

[0076] 5. User Interaction and Intervention:

[0077] Mr. Zhang can view real-time data and historical trends, and receive reminders for regular measurements and early warnings of abnormal data through the reminder function built into the app.

[0078] When any physiological parameter is abnormal, the smart watch will immediately send out a vibration or sound alarm, and Mr. Zhang can quickly obtain professional medical assistance through the emergency contact function.

[0079] 6. Periodic health assessment and adjustment:

[0080] Every once in a while, such as every three months or six months, Mr. Zhang will undergo a comprehensive cardiovascular health assessment to monitor changes in his health status and the effects of improvements.

[0081] Based on the evaluation results, the APP will update Mr. Zhang’s health plan to ensure that he continues to track his health status and take the most appropriate preventive measures.

[0082] Through this implementation case, Mr. Zhang was able to use the artificial intelligence-based wearable cardiovascular health monitoring device and its environmental adaptability analysis system provided by the present invention to actively manage his cardiovascular health, timely discover and respond to potential health risks, and thus improve his quality of life.

[0083] Embodiment 2

[0084] User Background:

[0085] Ms. Li, 30 years old, works in the IT industry. She faces the computer for a long time, has a family history of heart disease, is concerned about heart health, and hopes to use high-tech products to prevent the occurrence of cardiovascular diseases.

[0086] Implementation steps:

[0087] 1. Equipment configuration and startup:

[0088] Ms. Li received her AI-based wearable cardiovascular health monitoring device and its environmental adaptability analysis system, which has a stylish design and can be worn as a bracelet or pendant.

[0089] By scanning the QR code inside the package, they downloaded a dedicated mobile application (APP) and created their own account, entering their personal health records including age, gender, weight, height, medical history, etc.

[0090] 2.Synchronous collection of environmental and physiological data:

[0091] The device regularly detects Ms. Li's heart rate and blood pressure, and uses built-in environmental sensors to monitor her environment's air quality, temperature, humidity and other indicators in real time.

[0092] All data is automatically transmitted to her smartphone via Bluetooth and uploaded to a cloud server for storage and subsequent analysis.

[0093] 3. AI-assisted data analysis:

[0094] The cloud service uses a deep learning model to analyze Ms. Li’s cardiovascular health data and assess her heart rate variability (HRV) to predict heart health risks.

[0095] The analysis process took into account information such as Ms. Li's lifestyle habits, work pressure, and family medical history, and tailored a cardiovascular health report for her.

[0096] 4. Develop a personalized improvement plan:

[0097] Based on the health report, the APP pushed a series of personalized health management suggestions to Ms. Li, including adjusting the intensity of activities during work breaks, optimizing dietary energy intake ratio, and providing stress management skills.

[0098] These suggestions are equipped with smart reminders to help Ms. Li easily implement the health suggestions in her daily life.

[0099] 5. Instant feedback and emergency warning system:

[0100] During working hours, once abnormal heart rate or blood pressure is detected, the bracelet will vibrate immediately and display a warning message, and the APP will send an emergency notification to Ms. Li's mobile phone.

[0101] If Ms. Li feels unwell, she can quickly call for help or contact medical services through the emergency contact function within the app.

[0102] 6. Continuous tracking and health optimization:

[0103] Every once in a while, the system will automatically generate a detailed health trend report for Ms. Li, and compare it with the previous report to show changes in her health status.

[0104] The app adjusts health recommendations based on the latest tracking data, ensuring that Ms. Li can adjust her lifestyle habits based on the latest scientific evidence.

[0105] Through this implementation case, Ms. Li can effectively monitor and manage her cardiovascular health, and use the advanced wearable monitoring equipment and intelligent data analysis provided by the present invention to achieve healthy self-management and timely intervention.

[0106] This patent and its implementation methods are described, and this description is not restrictive. What is shown in the embodiment is only one of the implementation methods of this patent, and the actual method is not limited to this. In short, if ordinary technicians in this field are inspired by it and design embodiments similar to the technical solution without creativity without departing from the purpose of the invention of this patent, they should all fall within the scope of protection of this patent.

Claims

1. Wearable cardiovascular health monitoring device based on artificial intelligence and its environmental adaptability analysis system, characterized by: It includes a heart rate sensor, a blood pressure sensor, an environmental sensor, a data storage unit and a wireless communication module; The heart rate sensor is used to continuously monitor the user's heart rate changes, the blood pressure sensor is used to non-invasively measure the user's blood pressure, the environmental sensor is used to monitor the meteorological conditions and pollution levels of the user's environment, the data storage unit is used to save the collected physiological and environmental data, and the wireless communication module enables the device to transmit data to an external device.

2. The wearable cardiovascular health monitoring device based on artificial intelligence and the environmental adaptability analysis system thereof according to claim 1, characterized in that: The heart rate sensor is signal-connected to an AI analysis module, which uses heart rate variability indicators to perform data analysis to assess the user's cardiovascular health status and risks. The AI ​​analysis module is signal-connected to a personalized suggestion generator, which provides lifestyle adjustment suggestions based on the AI ​​analysis results.

3. The wearable cardiovascular health monitoring device based on artificial intelligence and the environmental adaptability analysis system thereof according to claim 1, characterized in that: The wireless communication module is signal-connected to a user interaction interface, which includes a mobile application and one of a smart watch, a bracelet or headphones, wherein the mobile application displays the user's physiological parameters, environmental data, HRV indicators, cardiovascular risk assessment and lifestyle improvement suggestions, and one of the smart watch, bracelet or headphones displays key physiological parameters in real time and provides instant warnings or notifications when necessary.

4. The wearable cardiovascular health monitoring device based on artificial intelligence and the environmental adaptability analysis system thereof according to claim 3 is characterized in that: The mobile application includes device operating software, data analysis software, user customized software and communication interface software. The device operating software is used to control the collection, processing and storage of sensor data. The data analysis software is used to execute the algorithms and data processing procedures of the AI ​​analysis module. The user customized software is used to adjust the device settings and alarm thresholds according to user preferences and needs. The communication interface software is used to manage data transmission between the wireless communication module and external devices.

5. The wearable cardiovascular health monitoring device based on artificial intelligence and the environmental adaptability analysis system thereof according to claim 3 is characterized in that: The user interaction interface includes a visual data display module, an interactive control panel, a health education content push module and an emergency response system. The visual data display module presents the user's cardiovascular health data in the form of charts and numerical values. The interactive control panel allows the user to adjust device settings and view historical data. The health education content push module provides knowledge and improvement suggestions about cardiovascular health. The emergency response system automatically notifies the user and prompts him to take action when abnormal physiological signals are detected.

6. A method for monitoring cardiovascular health using the device of any one of claims 1 or 2, characterized in that: The following steps are involved: S1, automatically collect the user's physiological and environmental data through the device; S2, transmits data to the user's mobile device or cloud through the built-in wireless module; S3. Use the AI ​​analysis module to regularly process the collected data to generate HRV indicators, cardiovascular risk assessment reports and lifestyle recommendations; S4. Use HRV indicators for data analysis to more accurately assess cardiovascular health status and predict potential risks, allowing users to view relevant information and obtain guidance through mobile apps.

7. A computer program product, characterized in that: When executed on an artificial intelligence-based wearable cardiovascular health monitoring device and its environmental adaptability analysis system, the program is capable of performing the method steps defined in claim 6 or 7.

8. A non-transitory computer readable medium storing the computer program product of claim 7.

9. The wearable cardiovascular health monitoring device based on artificial intelligence and the environmental adaptability analysis system thereof according to claim 1, characterized in that: The environmental sensor is at least one of a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a light intensity sensor, an ultraviolet index sensor, and a sound intensity sensor.

10. A method for monitoring cardiovascular health according to claim 6, characterized in that: S3 also includes the step of comparing the user's physiological data with a large amount of population statistics to determine the relative position of personal health data in the population. S3 also includes the step of automatically adjusting the device sampling frequency and alarm threshold according to the user's cardiovascular risk assessment results. S3 also includes the step of using GPS positioning to record the user's activity route, combining environmental sensor data to evaluate the environmental impact during outdoor activities. S3 also includes the integration of third-party health data services, such as electronic medical records, hospital databases, etc., to provide more comprehensive health analysis and suggestions. Skin resistance sensors and respiratory rate sensors are used in S1 to obtain health data of more dimensions. When viewing information, S4 includes the step of verifying the user's identity to ensure the privacy and security of health data.