Health monitoring system

Abstract

The utility model relates to a health monitoring system. The system comprises indoor equipment equipped with a sensor module, a processor in communication connection with the sensor module, and an alarm system. The embodiment of the utility model discloses breakthrough integration of radar technology and artificial intelligence in common household equipment (ceiling fan). The system is composed of a radar module and a decorative antenna housing which are seamlessly integrated, and a fan is converted into cautious and unnoticeable health monitoring equipment. The radar module remotely transmits signals to a monitored area, captures signals reflected from an individual body, and provides continuous real-time data about vital signs such as heart rate and respiratory rate. After the information is processed by the artificial intelligence processor, the system can detect abnormal conditions, and an alarm conveyed to the user through the user interface is triggered. The innovative system can adapt to different living environments and has deployment flexibility, and a new era of comprehensive, continuous and user-friendly health monitoring is created.

Description

Technical Field

[0001] This utility model relates to the field of systems and methods for monitoring, and in particular to a health monitoring system. Background Technology

[0002] Traditional vital sign monitors face challenges in providing continuous monitoring, especially during critical periods such as hospitalization. Many monitoring systems are invasive, causing user discomfort. Furthermore, incomplete data can compromise the reliability of health assessments. Intermittent measurements limit insights into dynamic vital signs and may miss significant changes that could lead to major health problems.

[0003] Current solutions struggle to adapt to diverse living environments, especially for bedridden patients or the elderly. Wearable devices are uncomfortable during sleep, while fixed devices lack adaptability. Flexibility is crucial for seamless integration into daily life.

[0004] Prevention is better than cure. Therefore, timely identification of abnormal vital signs is crucial for early intervention. Existing systems may experience delays, hindering proactive health monitoring. A real-time health monitoring system is needed for rapid, targeted interventions based on individual health conditions, and this needs to be a non-contact, non-invasive system. Therefore, improvements to existing technologies are necessary, and more specifically, a more effective approach is required. Utility Model Content

[0005] The technical problem solved by this utility model is:

[0006] The present invention aims to provide a health monitoring system (hereinafter referred to as "the system" or "the system" or "the system of the present invention") to solve the problems of poor reliability of existing vital sign monitoring systems and methods, causing discomfort to users, difficulty in adapting to diverse living environments, and inability to identify abnormal vital signs in a timely manner.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0008] A health monitoring system, characterized in that the system comprises:

[0009] Indoor equipment equipped with a sensor module; wherein the sensor module includes one or more vital sign sensors for acquiring health data of indoor users;

[0010] The processor, communicatively connected to the sensor module, processes the health data acquired by the sensors to obtain the user's real-time health information and detect irregularities or abnormalities in the user's vital signs; and

[0011] An alarm system is used to trigger an alarm mechanism when the processor detects irregular or abnormal vital signs.

[0012] In some embodiments, the vital signs sensor includes a radar sensor and / or a camera.

[0013] In some embodiments, the system further includes a user interface for conveying alerts, providing real-time monitoring, and allowing user interaction.

[0014] In some embodiments, the sensor module is a radar module, and its vital signs sensor is a radar sensor, configured to transmit signals to a monitoring area and capture reflected signals from that area. The radar module is used to capture signal frequency changes caused by body movement, thereby accurately measuring vital signs; the processor is used to extract vital sign information, including HR, BR, and related health patterns, from the health data acquired by the sensor.

[0015] In some embodiments, the health data acquired by the sensors is stored within the indoor device itself, and / or within a local edge device, and / or within a cloud service. The system is communicatively connected to the edge device and / or the cloud service. The processor processes the health data acquired by the sensors either within the indoor device itself, and / or within the local edge device, and / or within the cloud service. The system integrates cloud services for the storage, analysis, and access of historical vital sign data.

[0016] In some embodiments, the system is powered by a power system integrated within the indoor device, which provides power to the indoor device and the sensor module. The system is integrated into the indoor device; alternatively, the system is integrated into a separate sensor device, which is adjacent to and connected to the indoor device. The indoor device includes one or more of a fully functional ceiling fan, lighting fixtures, mirrors, and air conditioning units.

[0017] In some embodiments, the indoor device includes a control unit that serves as a central interface communicatively connected to the sensor module. The sensor module acquires signals reflected from body parts of the user, allowing micro-motion signal detection and communicating with the control unit of the indoor device to generate vital sign monitoring and alarms; the body parts include the chest region and / or the heart region and / or the abdominal region. The radar module monitors radio echoes of blood vessels and body movement to acquire vital signs for continuous monitoring of the user's health data. The processor processes the health data acquired by the sensors to obtain basic physiological parameters, including heart rate, respiratory rate, and trends and patterns of heart rate and respiratory rate.

[0018] In some embodiments, the alarm system generates alarms on a mobile communication device via wireless communication, the alarm system being embedded within an application of the mobile communication device and serving as the user interface of the system; or, the alarm system generates or displays one or more audible or visual alarms on one or more IoT devices connected to the system, the alarm system being embedded within an application of the IoT device and serving as the user interface of the system.

[0019] In some embodiments, the radar module includes an on-chip radar (ROC) sensor; the ROC sensor is embedded in the electronic design of the indoor device, or the ROC sensor is connected as a separate unit to an adjacent indoor device.

[0020] In some embodiments, the system further includes a communication module for seamless interaction between the system and external devices or external networks; the communication module transmits data, enabling the system to achieve remote monitoring or integration with smart home devices.

[0021] In some embodiments, the system may optionally include a temperature sensor for monitoring indoor temperature and adjusting the temperature upon receiving instructions from the processor.

[0022] In some embodiments, the sensor module is integrated into the indoor device, which serves as a central hub for health monitoring and acts as the host for the integrated sensor module.

[0023] In some embodiments, the system may optionally integrate an airborne antenna to enhance the system's communication capabilities.

[0024] In some embodiments, the system may optionally integrate an event logging unit for recording events and data generated by the system.

[0025] In some embodiments, the radar sensor, processor, airborne antenna, and event recording unit are integrated within the radar module.

[0026] In some embodiments, a decorative radome is provided to cover the radar module to protect it; the radome is transparent to signals transmitted or received by the sensor module so that signals can pass through without loss; the radome is adapted to the shape of the indoor device.

[0027] In some embodiments, the radar beam of the radar module is directed downwards to cover the floor area and most of the indoor space.

[0028] In some embodiments, the direction and angle of the radar sensor can be dynamically adjusted to adapt to different monitoring scenarios.

[0029] In some embodiments, the radar module is oriented and angled to the indoor device via mechanical fasteners.

[0030] Preferably, the processor is an AI processor.

[0031] In some embodiments, the AI ​​processor is configured to adapt and learn personal health patterns over time, evolving with the user's health status, providing predictive insights into potential health problems, and identifying trends and patterns in vital signs over time.

[0032] This utility model also provides a health monitoring method, including the following steps:

[0033] Initialize the indoor equipment, which is equipped with a sensor module for monitoring the vital signs of indoor users;

[0034] The sensor module is activated to transmit signals to the monitored area;

[0035] The indoor device transmits a signal to the monitored area and captures the reflected signal from the monitored area.

[0036] Capture signals reflected from parts of the user's body in the monitored area, including vital signs information;

[0037] The processor is used to process the reflected signals to extract vital signs information, including heart rate (HR), respiratory rate (BR), and HR and BR related patterns;

[0038] Check whether the extracted vital signs data are within the normal range; if an abnormality is detected, trigger an alarm condition.

[0039] Generate an alert in response to detected abnormal vital signs;

[0040] The generated alerts are communicated to the user interface, enabling users to receive real-time notifications; and

[0041] Allows users to view alerts, monitor real-time vital signs data, and take necessary actions based on the information provided; and

[0042] Establish a continuous monitoring cycle, repeating the process of signal transmission, reflection, data processing, and alarm checks to achieve continuous and unobtrusive health monitoring.

[0043] In some embodiments, the step of generating an alarm when irregular vital signs are detected, the alarm being transmitted via a communication channel to a designated healthcare system, caregiver, or emergency response system, is performed by the health monitoring system.

[0044] In some embodiments, this invention creates a health monitoring system that can be used in various environments, such as residential spaces, hospitals, rehabilitation centers, hotels, senior living facilities, and even passenger cruise ships. This invention utilizes radar technology embedded in household appliances (ceiling fans) to continuously monitor an individual's vital signs, trends, and patterns. The system employs on-chip radar or integrated radar sensors to ensure non-invasive vital sign monitoring. The system provides real-time data, detects anomalies, and sends alerts when necessary.

[0045] In embodiments of this invention, radar technology is seamlessly integrated into a common household appliance (ceiling fan), transforming it into a sophisticated health monitoring device. This innovative leap leverages a ubiquitous household appliance (ceiling fan) to ensure seamless integration of health monitoring with daily life. A key aspect of this invention's health monitoring system is the provision of continuous monitoring of vital signs, including heart rate (HR), respiratory rate (BR), and overall trends and patterns, via radar technology. In some designs, an on-chip radar sensor module ("radar module") is integrated within the ceiling fan or other device. This radar module can be an inherent component of the electronic design of the household appliance or a separate component connected to an adjacent household appliance.

[0046] Furthermore, it should be noted that the system employs a decorative radome to encapsulate the radar module and seamlessly integrates it into the established configuration of traditional household appliances (ceiling fans), including but not limited to lampshades, plastic housings, or similar designs, without causing any adverse effects on the existing configuration. This integration preserves the aesthetics of traditional household appliances (ceiling fans) while ensuring that the system performs effective health monitoring. The system provides a real-time dynamic representation of an individual's health status, ensuring a comprehensive understanding of their health condition.

[0047] This invention's system can rapidly detect irregularities in vital signs; sudden fluctuations in heart rate and respiratory rate trigger intelligent alarms, serving as a proactive early warning mechanism for potential health problems. A key aspect of this system is the dynamic correlation between vital sign deviations and sensitivity settings, allowing for personalized monitoring. The system can adjust alarm mechanisms according to individual health needs, providing a tailored response approach for vital sign monitoring. Furthermore, the integration of artificial intelligence (AI) further enhances the system's capabilities. AI components process radar data, refine vital sign analysis, and enhance the system's ability to adapt to and learn individual health patterns over time. This not only ensures more accurate and personalized monitoring but also provides predictive insights that facilitate proactive healthcare approaches.

[0048] The system of this utility model has a radar module and interface that can be integrated into indoor electronic equipment, which includes one or more of lighting devices, light bulbs, mirrors or air conditioning devices.

[0049] The system of this invention has a radar module and interface that can be integrated into a standalone radar device with full functionality.

[0050] The beneficial effects of this utility model are:

[0051] This invention's system seamlessly integrates radar technology into ordinary household devices, ensuring seamless integration of health monitoring with daily life. It provides continuous monitoring of vital signs through radar technology, offering real-time dynamics of an individual's health status and ensuring a comprehensive understanding of their condition. Furthermore, the integration of artificial intelligence (AI) enhances the system's capabilities, improving vital sign analysis and ensuring more accurate and personalized monitoring. It also provides predictive insights that facilitate proactive healthcare approaches.

[0052] This summary does not necessarily disclose all the features necessary to define this invention. The invention may exist in sub-combinations of the disclosed features. Various combinations and sub-combinations are fully described in the detailed description. Attached Figure Description

[0053] The accompanying drawings are provided to further illustrate the present invention and form part of the specification. The drawings show exemplary embodiments of the present invention and, together with the specification, serve to explain the principles of the present invention.

[0054] The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this invention, wherein:

[0055] Figure 1 An example of the operation of a health monitoring system according to a preferred embodiment of the present invention is shown.

[0056] Figure 2 This illustrates another example of the operation of the health monitoring system according to a preferred embodiment of the present invention.

[0057] Figure 3 A block diagram of the components of a ceiling fan for a vital signs monitoring system according to a preferred embodiment of the present invention is shown.

[0058] Figure 4 A flowchart illustrating the operation of a ceiling fan for a vital signs monitoring system according to a preferred embodiment of the present invention is shown.

[0059] Figure 5 A block diagram of a preferred embodiment of the present invention for monitoring vital signs is shown.

[0060] Figure 6 A flowchart for monitoring vital signs according to a preferred embodiment of the present invention is shown. Detailed Implementation

[0061] The following is a detailed description of the embodiments disclosed in the accompanying drawings. This detailed description of the embodiments is intended to clearly convey the present invention and is not intended to limit the contemplation of the embodiments; rather, it is intended to cover all modifications, equivalents, and alternatives to embodiments falling within the spirit and scope of the present invention.

[0062] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to those skilled in the art that embodiments of the present invention may be practiced with certain specific details omitted.

[0063] The terminology used in this utility model should be understood as having the most extensive definition recorded in the relevant field.

[0064] A key innovation of this utility model's health monitoring system is the strategic integration of radar sensor technology into a household appliance (ceiling fan). This fundamental decision reshapes the way health monitoring is conducted, leveraging common home, hospital, and nursing home projects as scenarios for advanced technological capabilities. Integrating the radar sensor into the household appliance (ceiling fan) is the cornerstone of the entire system. This choice to integrate the sensor into the household appliance (ceiling fan) is not arbitrary but rooted in the widespread use of these appliances in daily life. For example, ceiling fans are commonly used in bedrooms, living rooms, and various living spaces for different groups of people. This ubiquity ensures that the monitoring system can cover a broad user base, unlike the challenges that standalone devices might face.

[0065] The strategic choice of home appliances (ceiling fans) as health monitoring platforms aims to provide inconspicuous health care monitoring solutions, unlike standalone devices or wearable technologies that are visually prominent and can interfere with daily activities. Integrating sensors into home appliances (ceiling fans) enables non-intrusive healthcare monitoring. This integration ensures that individuals can continue their daily lives without the intrusion of other devices. The overall goal is to seamlessly integrate advanced monitoring capabilities into familiar home appliances.

[0066] Ceiling fans, traditionally used to provide comfort through air circulation, take on the additional role of a sophisticated health monitoring device in this invention. The integrated design is intuitive, requiring minimal adjustments or conscious user interaction. This seamless integration of advanced monitoring transforms the ceiling fan into a dual-purpose device, enhancing its practicality in the modern home. This integration aims to make health monitoring a natural part of the home environment. Unlike standalone monitoring devices that may require dedicated space or attention, the ceiling fan becomes an inconspicuous and environmentally friendly element of this invention, retaining its original function while discreetly and continuously monitoring vital signs, helping to create an environment where health monitoring seamlessly coexists with daily activities.

[0067] By selecting common items such as ceiling fans as a platform, this invention creates a user-friendly and familiar health monitoring environment. Users are more likely to accept and trust monitoring systems integrated into common items like ceiling fans, thus creating a positive user experience. Familiarity with the environment contributes to increased user comfort and acceptance, which is a key factor in the successful adoption of health monitoring technology.

[0068] However, this system can be integrated into other similar indoor electronic devices, including fully functional lighting fixtures, light bulbs, mirrors, and air conditioning units. It can also be integrated into standalone radar devices with full functionality. Adding a radar module or on-chip radar to any indoor electronic device will provide similar functionality. This provides compatibility between this invention and existing electronic or electrical appliances.

[0069] like Figure 1 An example of the operation of a health monitoring system (100) according to a preferred embodiment of the present invention is shown. In this system, a person (102) in a room is continuously monitored for vital signs by using a radar module and / or other health monitoring sensors installed within a ceiling fan (101). A ceiling fan control unit (103) serves as a central interface for communication with the radar module, which collects comprehensive data related to the person's presence, movement, and vital signs such as heart rate and respiratory rate. The integration of the radar module within the ceiling fan ensures an inconspicuous yet effective method for monitoring individuals and enhancing health monitoring.

[0070] Figure 2 Another example of the operation of the health monitoring system (200) of a preferred embodiment of the present invention is shown. The system monitors an individual (202) located in and around a bed or crib, whether an adult, child, or infant. The described innovative system integrates advanced sensors and technologies into a conventional ceiling fan (201) or similar device located above a bed or crib. This transformation enhances the functionality of the ceiling fan to provide comprehensive monitoring of an individual, particularly for those lying in bed, of vital signs such as hemorrhage (HB), heart rate (HR), trends, and patterns.

[0071] A radar sensor module integrated into the ceiling fan (201) transmits (205) and receives radio echoes (204) from the abdomen, chest, and heart region of an individual (202), allowing for the detection of micro-movement radar signals and communication with the fan's control unit to enable vital sign monitoring and alarms. Furthermore, the system incorporates dedicated vital sign monitoring of radio echoes (204) returning from blood vessels and body movement for continuous monitoring of essential physiological parameters, including respiratory rate (BR) and heartbeat rate (HR), trends, and patterns of heart rate and respiratory frequency. This monitoring provides real-time health information and can detect irregularities or abnormalities in vital signs, such as abnormal breathing patterns or heart rates, characterizing potential health problems.

[0072] In such irregular or abnormal situations, alerts can be generated on the mobile communication devices of users, family members, or healthcare professionals via wireless communication channels.

[0073] In another embodiment, one or more auditory or visual alarms may be generated or displayed on one or more connected IoT devices in the room.

[0074] Figure 3 The diagram shown is a component block diagram (300) of a ceiling fan used in a vital signs monitoring system, including:

[0075] Ceiling fan unit (302): The ceiling fan serves as a central hub for health monitoring, acting as the host for the integrated radar module. This integration is a key aspect of the system, allowing for unobtrusive, continuous monitoring without requiring individuals to wear any external devices. Ceiling fans are common fixtures in homes, providing a familiar and unassuming platform for integrating advanced health monitoring capabilities.

[0076] Radar Module (304): The core of the system is the radar module, which emits radar signals and captures echoes to monitor vital signs. This radar module can be in the form of a radar-on-chip (ROC) sensor, intricately embedded in the fan's electronic design, or exist as a standalone unit connected to adjacent devices. The radar technology employed captures changes in signal frequency caused by body movement, thereby accurately measuring vital signs such as heart rate (HR) and respiratory rate (BR). For heart rate (HR) measurement, the radar emits a signal reflected from the chest. The heart rate is determined by analyzing minute changes in the time required for the signal to reflect. Example: Slower, faster, or irregular heartbeats may trigger an alarm indicating a potential heart failure problem. For respiratory rate (BR), the radar detects minute chest movements caused by breathing and determines the respiratory rate by analyzing changes in these movements. Example: Slower or irregular chest movements may trigger an alarm indicating a potential breathing problem.

[0077] Decorative Radome (306): A decorative radome was introduced to seamlessly integrate the radar module without compromising the aesthetics of the ceiling fan. This radome encapsulates the radar module. Importantly, the radome's design considerations are flexible, allowing it to take the form of a lamp cover, plastic housing, or similar design, ensuring that the health monitoring functionality does not interfere with the visual harmony of the ceiling fan within a traditional setup.

[0078] AI Processor (308): An AI processor integrated into the ceiling fan processes health data collected by radar sensors. The radar sensor data generated by the system is processed by an artificial intelligence (AI) component. This AI processor plays a crucial role in refining vital sign analysis. Over time, it adapts and learns individual health patterns, facilitating personalized monitoring and enhancing the system to provide accurate and actionable insights. The AI ​​component adds intelligence to the system, enabling it to evolve with the user's health status and provide predictive insights into potential health problems. The AI ​​processes radar data to identify trends and patterns in vital signs over time. Example: Identifying persistent fluctuations in HR or BR, providing insights into overall health patterns.

[0079] In another embodiment, and more broadly, vital signs are monitored using only conventional computing or sensors without the use of artificial intelligence.

[0080] Alarm Mechanism (Alarm System) (310): To make the health monitoring system proactive, an intelligent alarm mechanism is integrated. This mechanism is triggered based on anomalies detected by the radar module and processed by the artificial intelligence component. For example, a sudden increase or decrease in heart rate or respiratory rate will immediately trigger an alarm. The alarm system is dynamic, correlating vital sign deviations with sensitivity settings. This adaptability allows for personalized monitoring, adjusting the alarm mechanism according to an individual's specific health needs. Alternatively, the alarm system can send notifications to external devices or mobile applications, thereby enhancing the overall responsiveness of the health monitoring system.

[0081] The alarm system, when embedded within a mobile application, serves as a user-friendly interface for a health monitoring ceiling fan system. This system monitors vital signs such as heart rate and respiratory rate in real time and promptly notifies the user of any abnormalities detected by its radar module. Customizable alarm settings allow users to tailor the system to their specific health needs, providing personalized and timely notifications. Furthermore, the mobile application allows for adjustments to system settings, remote monitoring by caregivers, and access to historical health data—all within a secure and accessible platform. This comprehensive interface ensures that users, caregivers, or healthcare professionals are always aware of the situation, can take timely interventions, and seamlessly integrate proactive health management into their daily lives.

[0082] Communication Module (312): The system includes a communication module that facilitates seamless interaction with external devices or networks. This connection enables the system to transmit remotely monitored data and integrate with other smart home devices. Users can access real-time health data, configure settings, and receive notifications through platforms such as dedicated mobile applications or web interfaces.

[0083] Power Supply (314): A robust power supply is a critical component to ensure the continuous and reliable operation of the health monitoring system. The power supply is optimized to meet the energy requirements of the ceiling fan unit, radar module, AI processor, and communication module, ensuring uninterrupted and long-term health monitoring.

[0084] Temperature sensor (316): Optional temperature sensor for monitoring room temperature and adjusting room temperature after receiving instructions from the AI ​​processor of the radar module.

[0085] For user convenience, the system offers an optional user interface. This interface, available as a mobile application, provides a user-friendly platform for configuring settings, viewing real-time health data, and receiving alerts. The user interface enhances the overall user experience, making the health monitoring system easily accessible and interactive. For those seeking historical health data for reference or analysis, the system introduces an optional data storage component. This component securely stores historical health records, enabling users to track long-term health trends and facilitate discussions with healthcare professionals when needed. The system's security-focused configuration ensures the confidentiality and integrity of the stored health information. For user interaction and customization, the system can include a user interface integrated into the ceiling fan structure. This interface allows for individual customization of sensitivity settings, viewing real-time vital signs indicators, and confirming or clearing alerts. Furthermore, the system can offer cloud integration services, enabling the storage, analysis, and access of historical vital signs data. This cloud integration helps track long-term health trends and provides valuable insights for users and healthcare professionals.

[0086] A key feature of this system is its innovative integrated radar module radome design, allowing radar technology to be seamlessly incorporated into ceiling fans or similar devices without compromising aesthetics or functionality. The decorative radome, acting as a protective cover for the radar module, is seamlessly integrated into the device's design, harmoniously blending in and protecting the radar from physical damage and environmental factors. This ensures the radar module's lifespan and reliability while enhancing the overall appearance of the device. User-friendly installation involves placing the sensor system above the bed with the transparent radar radome, enhancing both aesthetics and providing crucial protection for the radar module. The transparent radome allows radar signals to pass through without distortion, maintaining system functionality. The radome can be customized to specific designs, ensuring a consistent and aesthetically pleasing appearance that adapts to various room styles without disrupting existing configurations. The combination of radar technology and the decorative radome not only provides advanced monitoring capabilities but also offers a discreet and visually appealing design, enriching the overall user experience.

[0087] This system employs a flexible data communication system to manage sensor data. It is designed to adapt to various scenarios and user preferences. By default, sensor data is typically processed locally, meaning that data collected by sensors is analyzed and processed within the health monitoring system or device itself (an indoor device integrated with the health monitoring system). Local processing ensures real-time response and is crucial when immediate action is required. In addition to local processing, the system can also communicate with edge devices. Edge devices are intermediate computing devices located closer to the data source (sensor system). These edge devices can further process and analyze data, providing more computing power and potentially reducing latency compared to cloud-based solutions. The system is also capable of transmitting sensor data to cloud services. This cloud-based communication enables remote monitoring, data storage, and advanced analytics. Cloud services offer the advantage of access from anywhere with an internet connection. The system can connect to data networks using both wired and wireless methods. Wired connections may include Ethernet, while wireless networks may include Wi-Fi, Bluetooth, or 4 / 5G connections. The choice of network connection depends on the specific application and user preferences. The system is equipped with full-duplex communication, allowing bidirectional data transmission. This means that it can not only send data from sensors to external devices, but also receive pre-recorded audio files from external devices.

[0088] This system's data communication capabilities offer a multifaceted approach to data management. Local data processing ensures immediate response to critical events, while connectivity with edge devices and cloud services provides data redundancy and storage, ensuring historical data is available for analysis. The system's integrated cloud services allow for remote monitoring and access, enabling users to monitor their personal health and environmental status anytime, anywhere with internet access. Furthermore, the data collected by the system can undergo advanced analysis in the cloud, providing valuable insights into long-term health trends and patterns. The system's versatility, achieved through connectivity with various wired and wireless networks and full-duplex communication, ensures compatibility with different devices and data transmission methods.

[0089] This utility model system has multiple embodiments that integrate the radar module into ceiling fans, appliances, or independent radar sensor devices, with each embodiment tailored to different installation scenarios and requirements. These embodiments are described in detail below:

[0090] Independent Radar Module Unit: In the first embodiment, the radar module is a standalone unit (forming a radar sensor device or integrated into a standalone radar sensor device), possessing all components and functions, with its radar antenna pointing downwards and equipped with a communication channel for interacting with the ceiling fan unit. This independent radar module unit offers flexibility in placement and can be optimally positioned according to specific monitoring requirements.

[0091] Radar module beneath the radome: In the second embodiment, the "front end" of the radar module, including the antenna and RF circuitry, is located beneath a dedicated cover with radome characteristics. This radome protects and conceals the radar components while allowing radar signals to pass through. The radar control assembly (processor) is connected to the ceiling fan control unit and other necessary components. This configuration combines performance with aesthetics.

[0092] Integrated Radar Control Component: A third embodiment relates to directly integrating the radar control component into the ceiling fan's control unit and / or printed circuitry. This approach simplifies installation and reduces the number of individual components. The radar control component typically communicates with the ceiling fan control unit via half-duplex or full-duplex communication. This communication channel facilitates information exchange, enabling the ceiling fan to respond to radar input and adjust its operation accordingly.

[0093] Regardless of the implementation, radar beams are typically directed downwards, covering the floor area and most of the room volume. However, some system embodiments offer the flexibility to adjust the radar direction to suit different monitoring scenarios. For example, the radar can be adjusted to face a bed, crib, or other area of ​​interest. This adaptability ensures that the radar module can be optimized for its specific application. In terms of installation, the radar module is attached to the ceiling fan frame, typically using a connection mechanism such as magnets, screws, or other mechanical fasteners. This connection mechanism allows adjustment of the radar module's orientation and angle relative to the ceiling fan frame substrate. Optimizing the distance between the radar and the radome or covering is crucial for achieving optimal performance. Overall, these system embodiments offer versatility in integrating radar technology with a variety of indoor devices, whether the system is a ceiling fan, appliance, or standalone sensor device, ensuring effective and unobtrusive monitoring and control.

[0094] Figure 4 A flowchart (400) of a preferred embodiment of the present invention for a ceiling fan system for monitoring vital signs is shown, including the following steps:

[0095] In step 402, the ceiling fan is initialized: the ceiling fan system is initialized in preparation for vital sign monitoring.

[0096] In step 404, the radar module is activated: the radar module, which is communicatively connected to the ceiling fan, is activated to transmit and receive radar signals.

[0097] In step 406, the signal is transmitted: radar signals are emitted from the fan and directed to the monitoring area, typically the bed or sleeping area. These radar signals are used to detect and capture signals reflected from a person's body.

[0098] In step 408, signal reflection and capture of reflected signals: radar signals are reflected from the body, and the reflected signals are captured, which contain information about micro-movements of the chest and abdomen caused by vital signs.

[0099] In step 410, data processing: Artificial intelligence with a radar module processes the reflected signals to extract vital sign data, including heart rate (HR) and respiratory rate (BR). The captured reflected signals are processed by the artificial intelligence (AI) component and work in conjunction with the radar module. This stage involves extracting vital sign data from the reflected signals to gain a detailed understanding of an individual's health status.

[0100] In step 412, check alarm conditions: The system checks whether the vital signs data are within the normal range. If not, it will trigger alarm conditions.

[0101] In step 414, an alarm is generated: if an anomaly is detected, the system generates an alarm.

[0102] In step 416, user interface interaction: The alarm is sent to the user interface, typically a mobile application, allowing the user to receive the notification.

[0103] In step 418, the user responds: The user can view alarms, monitor real-time vital signs data, and take necessary actions based on the information provided by the system.

[0104] In step 420, the continuous monitoring cycle is as follows: the system continuously monitors vital signs and repeats the process of signal transmission, reflection, and data processing.

[0105] Figure 5 A block diagram (500) of a system for monitoring vital signs according to a preferred embodiment of the present invention is shown. Detailed information for each component is provided below:

[0106] Radar Module (510): This module is responsible for radar-based detection. It emits radar signals and captures their reflected signals to detect and track the presence and activity of individuals within the monitored area.

[0107] Radar on Chip (ROC) (520): This component is a specialized radar technology called Radar on Chip (ROC). It plays a crucial role in accurate motion detection and presence sensing. The ROC processes radar data and extracts valuable information reflecting the position and movement of objects within its coverage area.

[0108] AI Processors (530): AI (Artificial Intelligence) processors play a central role in data analysis as key components of vital sign monitoring systems. These processors process information collected by radar modules and on-chip radar (ROC), employing sophisticated algorithms to classify and understand an individual's behavior and state. Their functions include assessing sleep quality, identifying vital sign patterns, recognizing restlessness, and extracting other relevant insights. Importantly, AI processing, often referred to as inference, can be executed on edge devices or cloud services (SaaS), providing deployment flexibility based on system requirements and architecture. The use of artificial intelligence enhances the system's ability to derive meaningful interpretations from collected data, contributing to a comprehensive understanding of an individual's health dynamics.

[0109] Event logging module (540): Its function is to record system-generated events and data. It can maintain logs of abnormal vital signs and other major events.

[0110] Communication Power Control (CPC) (550): The communication transmission aspect of the communication power control management system. It ensures effective communication transmission of data and alarms and manages power resources to optimize transmission.

[0111] Airborne antenna (560): An airborne antenna may be an optional feature that can be used to enhance the system’s communication capabilities and improve signal transmission and reception.

[0112] Ceiling Fan Control (CFC) (570): The function of the ceiling fan control unit is to manage the operation of the ceiling fan, adjusting the fan speed and direction based on data and events detected by the system. For example, the ceiling fan control unit can increase the fan speed based on real-time vital sign monitoring to create a soothing environment for a person in pain.

[0113] Mobile device application (580): This component represents the user interface for interacting with the system. The mobile device application allows users to monitor system data, receive alerts, and adjust settings. It provides caregivers or individuals with a convenient way to understand the situation and control the system.

[0114] Cloud / Local Edge Device (590): This component provides flexibility in data management. It allows data to be processed and stored on a local edge device or in the cloud. Local edge processing provides real-time monitoring and immediate action, while cloud storage provides long-term data analytics and remote access.

[0115] Furthermore, the Communication Power Control (CPC) management system ensures the effective transmission of data and alarms in its communication aspects. In one scenario, the ceiling fan control unit (CFC) supplies power to the CPC. This power ensures the CPC can operate effectively, manage communication, and transmit data as needed. The CPC's role is to ensure the communication system remains active. In summary, the CPC influences the CFC's operation based on monitoring data to optimize the indoor environment. Simultaneously, the CFC provides power support to the CPC, ensuring its ability to manage communication and data transmission. This two-way relationship enables the system to operate in a coordinated and efficient manner.

[0116] Figure 6 A flowchart (600) illustrating vital sign monitoring according to a preferred embodiment of the present invention is shown. Detailed information for each step 602-608 involved is provided below:

[0117] In step 602, sensor detection: This step represents the initial step of the entire process; wherein the sensor, which may include a radar sensor or other technology sensors, is used to detect the presence of a person in the monitored area and collect data on their position and upper body micro-movements.

[0118] In step 603, vital signs: Simultaneously, the system monitors vital signs such as heart rate (HR) and respiratory rate (BR); the system can detect trends, patterns, and abnormalities in vital signs; this real-time monitoring can enhance an individual's health and well-being.

[0119] In step 604, delay by d seconds: This step introduces a delay of a certain number of seconds, which can be a system-defined parameter. This delay can be used to address brief, anticipated interruptions in monitoring, ensuring that events are not triggered prematurely and / or oversampled.

[0120] In step 605, record events (optional): Optionally, the system may record detected events, which may include the creation of abnormal vital signs and other events for future reference or analysis.

[0121] In step 606, data and events are transmitted: the system transmits detected events and data to external applications or services. This communication is crucial for providing real-time alerts and enabling remote monitoring by healthcare professionals or caregivers.

[0122] In step 607, the fan speed logic can be adjusted based on the data or events transmitted to the fan.

[0123] In step 608, an optional temperature sensor may also change the fan speed logic (step 607), which results in a change in fan speed control to improve the user's health.

[0124] In some non-limiting embodiments, the systems and methods of this invention involve a series of steps aimed at detecting, analyzing, and transmitting the vital signs of an individual (including a person in bed or an infant). The following is a detailed description of each step in this process:

[0125] Radar sensor detection: This system or method begins with a radar sensor integrated into a ceiling fan, which is capable of detecting and monitoring the presence, posture, and body movement of an individual; individuals such as adults, toddlers, and infants in bed; the radar sensor captures data including data reflected and generated by the presence, posture, and micro-body movements of a person.

[0126] Radar surveillance data processing: Data collected by radar sensors, typically in the form of point clouds, is processed to identify and isolate different objects or "targets." These targets represent individuals within the monitored space.

[0127] Algorithmic classification of targets: These targets are classified into different categories using algorithms, including "adults," "children," "infants," and "others." This classification is based on factors such as size and movement patterns.

[0128] Algorithmic classification of human targets: Further algorithms are applied to analyze and label the body state, posture, and upper trunk micromovements of these human targets; cyclic movement patterns at different frequencies are identified. The system assesses HR (heart rate) and BR (respiratory rate), trends, and patterns.

[0129] Communication with the ceiling fan control unit: The acquired sensor data and processed output are transmitted to the ceiling fan control unit.

[0130] In some embodiments, the system of this invention, the process of detecting and classifying individuals encompasses a comprehensive set of functions within a digital detection and classification framework, which involves several key steps:

[0131] The steps for detection and 4D Radar Point Cloud generation are as follows: This step begins with the detection of radar echoes, resulting in the creation of a 4D "radar point cloud"; this radar point cloud represents a complete detection of all physical surfaces within the radar coverage area; each detection point is precisely located in three-dimensional space (x, y, z) and assigned a radial velocity, including stationary points relative to the radar module's position (radial velocity "0").

[0132] Grouping and centroid calculation: This step involves grouping the detected radar point cloud into individual objects, including individuals, babies, pets, and other targets; the grouping process generates a centroid for each group, as well as the object's position (x, y, z) and radial velocity relative to the radar module's position;

[0133] Classification of grouped radar echoes: The system then classifies these grouped radar echoes (called “targets”) into categories such as people, babies, or other specified categories such as pets or wheelchairs, with each group of radar echoes being identified as a “target” individually;

[0134] Continuous monitoring and vital sign detection: Human targets, including adults in bed, children or toddlers in bed, and infants in cribs, are continuously monitored to observe and classify changes in their posture and micromovements. This classification can include repetitive periodic movements with different frequencies, trends, patterns, etc., thereby classifying abnormalities in vital signs and identifying related health conditions, such as heart attacks, valvular heart disease, etc.

[0135] In one embodiment, a radar sensor or other sensor is configured to be installed in an existing fan, thereby upgrading the old fan into a vital signs monitoring system.

[0136] Importantly, the sensor modules described in some embodiments, which include sensors and communication components, are shown directly and in detail in the accompanying drawings. These embodiments illustrate the physical structure and integration of the sensor system, providing a comprehensive understanding of its components and functions.

[0137] The health monitoring system and method described in the above embodiments of this utility model represent a breakthrough integration of radar technology and artificial intelligence into a common household appliance (ceiling fan). The system comprises a seamlessly integrated radar module and a decorative radome, transforming the fan into a discreet and inconspicuous health monitoring device. The radar module remotely transmits signals to the monitoring area, captures signals reflected from an individual's body, and provides continuous real-time data on vital signs such as heart rate and respiratory rate. This information is processed by an artificial intelligence processor, enabling the system to detect anomalies and trigger alarms communicated to the user through the user interface. The system can be integrated into other similar indoor electronic devices, including fully functional lighting fixtures, light bulbs, mirrors, and air conditioning units. It can also be integrated into a standalone radar device with full functionality. The decorative radome not only acts as a protective cover but also ensures aesthetic harmony with the ceiling fan. This innovative system adapts to different living environments and offers deployment flexibility, including edge- or cloud-based artificial intelligence processing, ushering in a new era of comprehensive, continuous, and user-friendly health monitoring.

[0138] While the present invention has been described and illustrated with respect to certain preferred and alternative embodiments, it should be understood that various modifications may be made to these embodiments without departing from the present invention, the scope of which is defined by the appended claims.

Claims

1. A health monitoring system, characterized in that, The system includes: A ceiling fan equipped with a radar module, an integrated radar control component, a control unit and / or printed circuitry; wherein the radar module includes one or more vital sign radar sensors for acquiring health data of indoor users; and the radar control component is directly integrated into the control unit and / or printed circuitry of the ceiling fan. The processor, communicatively connected to the radar module, processes health data acquired by the sensors to obtain real-time health information of the user and detect irregularities or abnormalities in the user's vital signs; and An alarm system is used to trigger an alarm mechanism when the processor detects irregular or abnormal vital signs.

2. The system as described in claim 1, characterized in that: The health monitoring system includes a camera; the system also includes a user interface for conveying alerts, providing real-time monitoring, and allowing user interaction.

3. The system as described in claim 2, characterized in that: The radar sensor is configured to transmit signals to the monitoring area and capture reflected signals from that area; The radar module is used to capture changes in signal frequency caused by body movement, thereby accurately measuring vital signs; The processor is used to extract vital sign information, including HR, BR, and related health patterns, from the health data acquired by the sensor.

4. The system as described in claim 1, characterized in that: The health data acquired by the radar sensor is stored within the ceiling fan itself, and / or within a local edge device, and / or within a cloud service; The system communicates with edge devices and / or cloud services. The processor processes the health data acquired by the radar sensor either within the ceiling fan itself, and / or within a local edge device, and / or in a cloud service.

5. The system as described in claim 1, characterized in that: The system is powered by a power system integrated within the ceiling fan, which provides power to the ceiling fan and the radar module. The system is integrated into the ceiling fan.

6. The system as described in claim 1, characterized in that: The control unit serves as a central interface for communication with the radar module. The radar module is used to acquire signals reflected from the user's body parts, allowing micro-motion signal detection and communication with the ceiling fan's control unit to generate vital sign monitoring and alarms; the signals reflected from the body parts are signals reflected from the chest area and / or the heart area and / or the abdominal area. The radar module monitors radio echoes from blood vessels and body movements to obtain vital signs, thereby continuously monitoring the user's health data. The processor processes the health data acquired by the sensors to obtain basic physiological parameters, including heart rate, respiratory rate, and trends and patterns of heart rate and respiratory rate.

7. The system as described in claim 1, characterized in that: The alarm system generates alarms on a mobile communication device via wireless communication. The alarm system is embedded within the mobile communication device's application and serves as the system's user interface; or... The alarm system generates or displays one or more audible or visual alarms on one or more IoT devices connected to the system. The alarm system is embedded in the application of the IoT device and serves as the user interface of the system.

8. The system as described in claim 1, characterized in that: The radar module includes an on-chip ROC sensor; the ROC sensor is embedded in the electronic design of the ceiling fan.

9. The system as described in claim 1, characterized in that: The system also includes a communication module for seamless interaction between the system and external devices or networks; the communication module transmits data, enabling the system to achieve remote monitoring or integration with smart home devices. The system may optionally include a temperature sensor for monitoring indoor temperature and adjusting the temperature upon receiving instructions from the processor. The radar module is integrated into the ceiling fan, which serves as a central hub for health monitoring and acts as the host for the integrated radar module. The system may include an optional integrated airborne antenna to enhance its communication capabilities. The system may optionally integrate an event logging unit for recording events and data generated by the system; The radar sensor, processor, airborne antenna, and event recording unit are integrated within the radar module.

10. The system as claimed in claim 1, characterized in that: A decorative radome is provided to cover the radar module to protect it; the radome is transparent to signals transmitted or received by the radar module so that signals can pass through without loss; the radome is adapted to the shape of the ceiling fan. The radar module's radar beam is directed downwards, covering the floor area and most of the indoor space; The direction and angle of the radar sensor can be adjusted to adapt to different monitoring scenarios; The radar module is connected to the ceiling fan in an adjustable direction and angle via mechanical fasteners.

11. The system according to any one of claims 1 to 10, characterized in that: The processor is an AI processor; The AI ​​processor is used to adapt to and learn personal health patterns over time, evolving as the user's health condition develops, providing predictive insights into potential health problems, and identifying trends and patterns in vital signs over time.

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