Sleep apnea syndrome monitoring and early warning system and method

Abstract

The invention discloses a sleep apnea syndrome monitoring and early warning system and method, and the system comprises a health data monitoring device which is used for monitoring the blood oxygen saturation data, pulse data and body position state data of a target user; the electrical stimulation device is used for generating transcutaneous electrical stimulation to the target user; the control device is electrically connected with the health data monitoring device and the electrical stimulation device, and the control device is used for obtaining blood oxygen saturation data, pulse data and body position state data of the target user, determining a risk level according to the blood oxygen saturation data, the pulse data and the body position state data, and sending the risk level to the electrical stimulation device. And controlling the electrical stimulation device to execute different electrical stimulation strategies on the target user based on the different risk levels. The accuracy and effectiveness of the monitoring result can be improved.

Description

Technical Field

[0001] The present application relates to the technical field related to sleep apnea syndrome monitoring and early warning, and in particular to a sleep apnea syndrome monitoring and early warning system and method. Background Art

[0002] In recent years, sleep apnea syndrome has become a common sleep disorder, characterized by recurring episodes of apnea or hypopnea during sleep. Major complications can lead to various cardiovascular diseases, hypertension, diabetes, cognitive decline, and even sudden death. Patients with an apnea-hypopnea index greater than 30 breaths per hour and a blood oxygen saturation below 80% are at increased risk. The mechanism is related to varying degrees of hypoxemia leading to fast and slow arrhythmias such as atrial fibrillation, ventricular premature beats, bradycardia, and cardiac arrest.

[0003] Existing technology often uses a blood oxygen saturation monitor to monitor a user's blood oxygen saturation to determine whether interventional treatment is necessary. If the blood oxygen saturation exceeds a preset threshold, transcutaneous electrical stimulation is administered to the user to wake them up, achieving the goal of non-invasive intervention. However, this method uses only a single monitoring data set, determining sleep apnea based solely on blood oxygen saturation, resulting in low accuracy and effectiveness. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a sleep apnea syndrome monitoring and early warning system that can improve the accuracy and effectiveness of monitoring results.

[0005] The present application also provides a sleep apnea syndrome monitoring and early warning method, a control device for executing the above-mentioned sleep apnea syndrome monitoring and early warning method, and a computer-readable storage medium.

[0006] According to the sleep apnea syndrome monitoring and early warning system of the first embodiment of the present application, the system includes: A health data monitoring device for monitoring the target user's blood oxygen saturation data, pulse data, and body position status data; an electrical stimulation device for generating transcutaneous electrical stimulation to the target user; A control device is electrically connected to the health data monitoring device and the electrical stimulation device, respectively. The control device is used to obtain the blood oxygen saturation data, pulse data and body position data of the target user, determine the risk level according to the blood oxygen saturation data, the pulse data and the body position data, and control the electrical stimulation device to execute different electrical stimulation strategies for the target user based on different risk levels.

[0007] The sleep apnea syndrome monitoring and early warning system according to the embodiment of the present application has at least the following beneficial effects: The sleep apnea syndrome monitoring and early warning system of the embodiment of the present application simultaneously monitors the blood oxygen saturation data, pulse data and body position data of the target user, determines the risk level according to the blood oxygen saturation data, pulse data and body position data, and controls the electrical stimulation device to execute different electrical stimulation strategies for the target user based on different risk levels. Compared with the existing method of monitoring a single blood oxygen saturation data to determine whether sleep apnea occurs, the accuracy and effectiveness of the monitoring results are improved, and the electrical stimulation device is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. It has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0008] According to some embodiments of the present application, the health data monitoring device includes: Ring housing; A data monitoring module is provided on the inner ring of the ring housing, and is used to monitor the blood oxygen saturation data and the pulse data; A body position monitoring module is provided on the inner ring of the ring housing, and is used to monitor the body position status data; A finger circumference monitoring module is provided on the inner ring of the ring housing, and is used to monitor the finger circumference data of the target user; the control device is used to issue an alarm when the finger circumference data is smaller than the preset finger circumference corresponding to the target user.

[0009] According to some embodiments of the present application, the electrical stimulation device is arranged on the inner ring of the finger ring housing, and the control device is arranged inside the finger ring housing.

[0010] According to some embodiments of the present application, the ring housing is a structure with adjustable finger circumference size.

[0011] According to the sleep apnea syndrome monitoring and early warning method of the second embodiment of the present application, applied to the sleep apnea syndrome monitoring and early warning system as described in the first embodiment, the method includes: Obtain the target user's blood oxygen saturation data, pulse data, and body position status data; determining a risk level according to the blood oxygen saturation data, the pulse data, and the body position data; The electrical stimulation device is controlled to execute different electrical stimulation strategies on the target user based on the different risk levels.

[0012] The sleep apnea syndrome monitoring and early warning method according to the embodiment of the present application has at least the following beneficial effects: The sleep apnea syndrome monitoring and early warning method of the embodiment of the present application simultaneously monitors the blood oxygen saturation data, pulse data and body position data of the target user, determines the risk level according to the blood oxygen saturation data, pulse data and body position data, and controls the electrical stimulation device to execute different electrical stimulation strategies for the target user based on different risk levels. Compared with the existing method of monitoring a single blood oxygen saturation data to determine whether sleep apnea occurs, the accuracy and effectiveness of the monitoring results are improved, and the electrical stimulation device is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. It has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0013] According to some embodiments of the present application, determining the risk level based on the blood oxygen saturation data, the pulse data, and the body position data includes: If the blood oxygen saturation data is less than a preset first blood oxygen saturation safety threshold, and the pulse data is less than a preset first pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a first preset time period, the risk level is determined to be the first risk level; If the blood oxygen saturation data is greater than the first preset blood oxygen saturation safety threshold and less than the second preset blood oxygen saturation safety threshold, and the pulse data is greater than the first preset pulse safety threshold and less than the second preset pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a second preset time period, the risk level is determined to be the second risk level; If the blood oxygen saturation data is greater than the preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset second pulse safety threshold, and the body position data indicates that the target user maintains a supine or prone position for more than a third preset time, the risk level is determined to be the third risk level; the risk level of the first risk level is higher than the risk level of the second risk level, the risk level of the second risk level is higher than the risk level of the third risk level, and the second preset time is less than the first preset time and greater than the third preset time.

[0014] According to some embodiments of the present application, the control device includes a main control unit and a wireless transmission unit, and the electrical stimulation strategy includes a first electrical stimulation strategy, a second electrical stimulation strategy, and a third electrical stimulation strategy; The controlling the electrical stimulation device to execute different electrical stimulation strategies on the target user based on different risk levels includes: If the risk level is the first risk level, executing the first electrical stimulation strategy on the target user, the first electrical stimulation strategy comprising: the main control unit controlling the electrical stimulation device to stimulate the target user, and transmitting the blood oxygen saturation data, the pulse data, and the body position status data to a remote terminal via the wireless transmission unit, so that the remote terminal generates an audible alarm signal for reminder; If the risk level is the second risk level, executing the second electrical stimulation strategy on the target user, the second electrical stimulation strategy comprising: the main control unit controlling the electrical stimulation device to emit electrical stimulation to the target user; If the risk level is the third risk level, the third electrical stimulation strategy is executed on the target user, and the third electrical stimulation strategy includes: the main control unit controls the electrical stimulation device to stop emitting electrical stimulation to the target user.

[0015] According to some embodiments of the present application, controlling the electrical stimulation device to emit electrical stimulation to the target user includes: determining electrical stimulation parameters based on the blood oxygen saturation data, the pulse data, and the body position data based on a reinforcement learning algorithm; The electrical stimulation device is controlled to emit electrical stimulation to the target user according to the electrical stimulation parameters.

[0016] According to some embodiments of the present application, determining the electrical stimulation parameters based on the blood oxygen saturation data, the pulse data, and the body position data based on a reinforcement learning algorithm includes: obtaining the risk level; determining, according to the risk level, a first weight corresponding to the blood oxygen saturation data, a second weight corresponding to the pulse data, and a third weight corresponding to the body position data; Determining the electrical stimulation intensity and duration based on the blood oxygen saturation data, the first weight, the pulse data, the second weight, the body position data, and the third weight based on a reinforcement learning algorithm; The electrical stimulation parameters are obtained according to the electrical stimulation intensity and the electrical stimulation duration.

[0017] According to some embodiments of the present application, after obtaining the target user's blood oxygen saturation data, pulse data, and body position data, the method further includes: Inputting the blood oxygen saturation data, the pulse data, and the body position data into a pre-trained long short-term memory network model to obtain a respiration prediction result; In a case where the breathing prediction result indicates that a sleep apnea event is about to occur, the electrical stimulation device is controlled to emit electrical stimulation to the target user.

[0018] According to a third embodiment of the present application, a control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the sleep apnea syndrome monitoring and early warning method described in the second embodiment. Because the control device utilizes all the technical solutions of the sleep apnea syndrome monitoring and early warning method of the aforementioned embodiment, it at least has all the beneficial effects provided by the technical solutions of the aforementioned embodiment.

[0019] According to a fourth embodiment of the present application, a computer-readable storage medium stores computer-executable instructions for executing the sleep apnea syndrome monitoring and early warning method described in the second embodiment. Because the computer-readable storage medium employs all the technical solutions of the sleep apnea syndrome monitoring and early warning method described in the aforementioned embodiment, it at least has all the beneficial effects provided by the technical solutions of the aforementioned embodiment.

[0020] Other features and advantages of the present application will be set forth in the following description, and in part will be apparent from the description, or may be learned by practicing the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 This is a three-dimensional structural diagram of a sleep apnea syndrome monitoring and early warning system according to an embodiment of the present application; Figure 2 is a schematic diagram of the position of an electrical stimulation device according to an embodiment of the present application; Figure 3 This is a flow chart of a sleep apnea syndrome monitoring and early warning method according to an embodiment of the present application; Figure 4 This is a location diagram of the Shixuan acupoint in one embodiment of the present application; Figure 5 This is a circuit module connection diagram of an embodiment of the present application.

[0022] Reference numerals: Ring housing 100; Data collection module 200, data monitoring module 210, expansion module 220; electrical stimulation device 300; Data transmission module 410, data analysis module 420; Switching device 500. DETAILED DESCRIPTION

[0023] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application and are not to be construed as limiting the present application.

[0024] In the description of this application, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0025] In the description of this application, it should be understood that descriptions involving orientation, such as the orientation or positional relationship indicated by up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0026] In the description of this application, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technical personnel in the relevant technical field can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution.

[0027] The following will be combined with the Figure 1 To the attached Figure 5 A clear and complete description of the technical solution of the present application is given. Obviously, the embodiments described below are only part of the embodiments of the present application, not all of the embodiments.

[0028] refer to Figures 1 to 5 , Figure 1 This is a three-dimensional structural diagram of a sleep apnea syndrome monitoring and early warning system according to an embodiment of the present application; Figure 2 Schematic diagram of the position of the electrical stimulation device 300 according to one embodiment of the present application; Figure 3 This is a flow chart of a sleep apnea syndrome monitoring and early warning method according to an embodiment of the present application; Figure 4 This is a location diagram of the Shixuan acupoint in one embodiment of the present application; Figure 5 This is a circuit module connection diagram of an embodiment of the present application.

[0029] According to the sleep apnea syndrome monitoring and early warning system of the first embodiment of the present application, the system includes a health data monitoring device, an electrical stimulation device 300 and a control device.

[0030] A health data monitoring device for monitoring the target user's blood oxygen saturation data, pulse data, and body position status data; an electrical stimulation device 300 for generating transcutaneous electrical stimulation to a target user; The control device is electrically connected to the health data monitoring device and the electrical stimulation device 300, respectively. The control device is used to obtain the blood oxygen saturation data, pulse data and body position status data of the target user, determine the risk level according to the blood oxygen saturation data, pulse data and body position status data, and control the electrical stimulation device 300 to execute different electrical stimulation strategies for the target user based on different risk levels.

[0031] In some embodiments of the present application, reference is made to Figure 1 The health data monitoring device includes a ring housing 100, a data monitoring module 210, a body position monitoring module, and a finger circumference monitoring module. The data monitoring module 210 is located on the inner ring of the ring housing 100 and is used to monitor blood oxygen saturation data and pulse data; the body position monitoring module is located on the inner ring of the ring housing 100 and is used to monitor body position status data; the finger circumference monitoring module is located on the inner ring of the ring housing 100 and is used to monitor the finger circumference data of the target user; the control device is used to issue an alarm when the finger circumference data is less than the preset finger circumference corresponding to the target user.

[0032] It can be understood that the ring-shaped device is put on the finger, which is easy to operate, wearable without affecting daily activities, relatively fixed during activities, and not easy to loosen during activities, turning over in sleep, etc., and can ensure the persistence of monitoring of blood oxygen saturation data, pulse data and body position status data.

[0033] The finger circumference monitoring module is used to monitor the finger circumference data of the target user. After the target user puts on the ring housing 100, the finger circumference monitoring module detects the target user's wearing finger circumference. If the target user's corresponding preset shedding finger circumference is less than or equal to the target user's corresponding preset shedding finger circumference, an alarm is issued to remind the target user that the ring has fallen off and wake the target user up to put the ring on again, thereby ensuring the durability and effectiveness of the monitoring data.

[0034] In some embodiments, the finger circumference monitoring module can use a capacitive sensor for monitoring. Based on the principle of capacitance change, when a finger is inserted into the sensor probe, the change in finger circumference will change the capacitance value, which is converted into an electrical signal through the circuit and outputs the finger circumference data in real time.

[0035] In some embodiments, the finger circumference monitoring module may also use an infrared camera or a laser scanner to scan the finger contour, capture the image, and then use an algorithm to calculate the finger circumference.

[0036] In some embodiments, the finger circumference monitoring module may also use a strain gauge sensor. When the finger circumference changes, the strain gauge deforms and the resistance value changes. The resistance change can be measured by the circuit and converted into finger circumference data.

[0037] It should be noted that the specific preset shedding finger circumference can be adaptively set according to the actual wearing finger circumference.

[0038] In some embodiments of the present application, reference is made to Figure 2 The electrical stimulation device 300 is mounted on the inner ring of the ring housing 100, and the control device is located within the ring housing 100. The integration of the electrical stimulation device 300 and the control device into the ring housing 100 can reduce the size and cost of the sleep apnea monitoring and early warning system, and is less likely to become loose, thereby improving monitoring and intervention effectiveness.

[0039] refer to Figure 1 and Figure 2 After wearing the ring housing 100, the data monitoring module 210 is typically located on the user's fingertips. This is because the fingertips are rich in blood vessels and have relatively thin skin, which facilitates light penetration and allows the sensor to accurately detect blood oxygen saturation. The electrical stimulation device 300 can be located on the back of the user's finger, opposite the data monitoring module 210, or on a sensitive skin area such as the side of the finger to wake the user.

[0040] It should be noted that the specific relative positions of the data monitoring module 210 and the electrical stimulation device 300 can be adjusted according to actual conditions, and the user can also adjust the monitoring position and electrical stimulation position by rotating the ring housing 100. The above examples cannot be regarded as limitations on this application.

[0041] There is no restriction on the installation location of the body position monitoring module and the finger circumference monitoring module.

[0042] The control device is a flexible electronic circuit board that can adapt to the shape of the ring.

[0043] It should be noted that the sleep apnea syndrome monitoring and early warning system of the embodiment of the present application is mainly used to control the electric stimulation device 300 to generate electric stimulation when the blood oxygen saturation data and / or pulse data are abnormal, and the body position data indicates that the target user remains in a supine or prone position for more than a preset time, so as to wake up the user and remind the user to change the sleeping position, such as lying on the side, to reduce the risk of sleep apnea.

[0044] Based on existing research data, users of position-dependent sleep apnea syndrome account for approximately 50% to 60% of the total users of sleep apnea syndrome. For this type of users (i.e., apnea mainly occurs in the supine position), side sleeping can usually reduce the apnea-hypopnea index (a key indicator to measure the severity of sleep apnea syndrome) by 50% or more.

[0045] The following are specific case data: (1) When lying on your back, the apnea-hypopnea index is as high as 30 to 40 times per hour (moderate). (2) When sleeping on your side, the apnea-hypopnea index drops to 10 to 15 times per hour (mild) or even lower. (3) For some users, the apnea-hypopnea index can be reduced to the normal range (less than 5 times per hour) when sleeping on their side.

[0046] Based on data from multiple research groups, sleeping on your side can usually reduce the overall apnea-hypopnea index by an average of about 25% to 50% compared to sleeping on your back.

[0047] Sleep monitoring is performed through the sleep apnea syndrome monitoring and early warning system of the embodiment of the present application to determine whether the user suffers from sleep apnea syndrome, and the severity is assessed through the apnea-hypopnea index to determine whether the user has position-dependent sleep apnea syndrome, and the effect of side sleeping can be predicted.

[0048] It should be noted that by predicting the effect of side sleeping, it can be determined whether the sleep apnea syndrome monitoring and early warning system of the embodiment of the present application can be used as the main treatment method. If the user is only reminded to change the sleeping position and keep sleeping on the side, the effect is still not obvious, and other medical tools need to be combined for auxiliary treatment.

[0049] In some embodiments, for users who are good at side sleeping, effective methods (such as the tennis ball method and a side sleeping pillow) can be used to maintain a side sleeping position throughout the night.

[0050] The embodiment of the present application is also provided with a body position monitoring module, which predicts the risk of sleep apnea through body position status data. If the target user remains in a supine or prone position for a long time, it may indicate that sleep apnea has occurred or the risk of sleep apnea is greater. Compared with monitoring only blood oxygen saturation data, the present application determines the risk level based on blood oxygen saturation data, pulse data and body position status data, and controls the electrical stimulation device 300 to perform different electrical stimulation strategies on the target user based on different risk levels. This has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0051] In some embodiments, the body position monitoring module may use an accelerometer. The core of the accelerometer's detection of static body position is to use the components of gravity acceleration in different axes to determine posture. The specific principles and methods are as follows: Core principles: Accelerometers measure the acceleration of an object in three-dimensional space (X, Y, and Z axes), including acceleration due to gravity and motion. In a static state, an object is unaffected by motion acceleration, and the acceleration measured by the sensor is primarily due to gravity. Therefore, body position can be determined by analyzing the component of gravity along each axis.

[0052] Detection method: 1. Gravity component analysis At static state, the acceleration due to gravity (about 9.8 ) will always point to the center of the earth, and the output value of each axis of the sensor reflects the projection of gravity in that direction. For example: when a person lies flat on his back, the acceleration of the Z axis (assuming it is perpendicular to the back) is close to 9.8 , the X and Y axis components are close to 0.

[0053] 2. Calculation of body posture angle Acceleration data is used to calculate roll and yaw angles. Roll angle is the angle of rotation around the X-axis, reflecting the degree of left-right tilt of the body (such as lying on your side); yaw angle is the angle of rotation around the Z-axis, reflecting the degree of left-right rotation of the body (such as turning left or right).

[0054] 3. Preset body position model matching Create a library of acceleration signatures for different static body positions (such as lying flat on the back and lying on the side). For example, when lying on the side, there is a significant gravity component on the X or Y axis (for example, the X axis is positive when lying on the left side and negative when lying on the right side). After the sensor collects data in real time, it compares it with the signature library and matches the closest body position model.

[0055] The accelerometer can determine changes in body position by measuring changes in the acceleration of the human body in three-dimensional space, thereby determining how long the user maintains a certain sleeping position.

[0056] It should be noted that other sensors such as gyroscopes can also be combined to eliminate dynamic interference (such as a short movement followed by stillness), and algorithm filtering (such as Kalman filtering) can be used to reduce the impact of noise and improve the accuracy of static body position judgment.

[0057] The wearing area of ​​the ring housing 100 should avoid the interphalangeal joints and is generally worn near the fingertips to make the monitoring results more accurate. It can also be worn near the palm to make the ring housing 100 less likely to fall off.

[0058] In some embodiments, reference Figure 4The first knuckle of the finger is distributed with the Jing points of the three Yin and three Yang meridians of the hand, as well as the extra meridian point "Shixuan". Studies have confirmed that acupuncture at the Jing and Shixuan points in Traditional Chinese Medicine can treat emergency treatment, shock, coma and syncope. The local nerves in the fingertips are densely populated and close to the Jing and Shixuan points. The nerve and blood vessel networks are interconnected. Stimulating the fingertips can affect the blood circulation and sensation of the fingertips through nerve reflexes. The tactile stimulation of the fingertips can be transmitted to the brain through nerves, indirectly activating the meridian reactions related to the fingertip acupuncture points. Therefore, it can help to refresh the mind by activating nerve endings and promoting blood circulation. The electrical stimulation device 300 can be worn on the fingertips. Since the fingertips have rich and sensitive sensory nerve fibers, on the one hand, in holographic biology and modern reflexology, the fingertips are often regarded as the reflex areas of the head, face and brain. On the other hand, stimulating the fingertips has an extension effect on the Shixuan acupoints and related well acupoints near the fingers. The stimulation is highly sensitive, has important first aid and refreshing functions, and provides a stronger user experience. It is easy to recover from drowsiness caused by hypoxemia, thereby achieving better intervention effects. The combination of modern medicine and traditional medicine, Chinese medicine and acupuncture, has important clinical guiding significance.

[0059] In some embodiments of the present application, the ring housing 100 is an adjustable finger circumference structure. The adjustable finger circumference structure of the ring housing 100 can make the ring housing 100 more stably fixed on the user's finger, not easily loose, and can ensure the durability of data monitoring.

[0060] In some embodiments of the present application, the adjustable finger circumference size structure adopts an elastic open structure based on a shape memory alloy. The elastic open structure based on a shape memory alloy can be arbitrarily adjusted according to the user's finger circumference.

[0061] In some embodiments of the present application, the ring housing 100 may also be a watch-like structure, or other structures that can adjust the size of the finger circumference, which should not be regarded as a limitation of the present application.

[0062] In some embodiments of the present application, reference is made to Figure 1 The outer ring of the ring housing 100 is also provided with a switch device 500 electrically connected to the control device. The switch device 500 is used to control the electrical stimulation device 300 to stop electrical stimulation and maintain it for a preset duration. When the user is awakened by electrical stimulation, the sleep apnea event has been temporarily relieved. The electrical stimulation device 300 can be temporarily turned off through the switch device 500 and the user can continue to sleep. After the electrical stimulation device 300 is turned off and maintained for a preset duration, the data monitoring module 210 will continue to monitor the user's blood oxygen saturation data and pulse data. The body position monitoring module will also continue to monitor the target user's body position data. If the blood oxygen saturation data and / or pulse data are abnormal next time, or the body position data indicates that the target user has remained in the supine or prone position for more than a preset period of time, the electrical stimulation device 300 will be controlled to generate electrical stimulation again.

[0063] The switch device 500 is disposed on the outer ring of the finger ring housing 100 so as to be convenient for the user to operate.

[0064] In some embodiments, the switch device 500 may be a button, a knob, or a switch device 500 with other structures.

[0065] It should be noted that the specific structure and specific position of the switch device 500 can be selected according to actual conditions and are not specifically limited here.

[0066] It should be noted that if the switch device 500 is not controlled to stop the electrical stimulation device 300, the electrical stimulation will continue, or the electrical stimulation will automatically terminate after the user changes his sleeping position, i.e., the side position, to improve the blood oxygen saturation and pulse.

[0067] In some embodiments of the present application, the control device includes a main control unit and a wireless transmission unit.

[0068] The main control unit is located inside the ring housing 100 and is electrically connected to the data monitoring module 210 and the electrical stimulation device 300. The main control unit is used to obtain the target user's blood oxygen saturation data, pulse data, and body position data, determine the risk level based on the blood oxygen saturation data, pulse data, and body position data, and control the electrical stimulation device 300 to implement different electrical stimulation strategies for the target user based on different risk levels; The wireless transmission unit is electrically connected to the main control unit and is used to transmit blood oxygen saturation data, pulse data and body position status data to a remote terminal to achieve remote monitoring and reminder functions.

[0069] The existing monitoring method is to set a display screen on the device to display monitoring data and set a buzzer on the device to issue an alarm. The embodiment of the present application eliminates the traditional blood oxygen saturation display screen and instead uses a terminal interface that can be wirelessly connected to a mobile phone, tablet, computer, etc. for monitoring and alarm reminders. This significantly reduces the size of the device, saves production costs, ensures wearing comfort, and improves the convenience of monitoring through the human-computer interaction interface. It can also be set up to connect the mobile phones of the user's family members to the network for remote monitoring and to activate the emergency response system.

[0070] In some embodiments, the main control unit is also used to issue an alarm when the finger circumference data of the target user is smaller than the preset detachment finger circumference corresponding to the target user, or to send the finger circumference data to a remote terminal, such as a mobile phone, through a wireless transmission unit, and issue an alarm through the mobile phone.

[0071] In some embodiments of the present application, the core chip of the main control unit adopts STM32L4R9. The specific structure, working principle and function of STM32L4R9 are prior art known to those skilled in the art and will not be described in detail here.

[0072] It should be noted that the main control unit can also use other core chips, which cannot be regarded as a limitation of this application.

[0073] In some embodiments of the present application, the data monitoring module 210 uses a reflective photoelectric sensor. The reflective photoelectric sensor is an 8×8 reflective photoelectric sensor group arranged in a matrix. When the reflective photoelectric sensor is working, it will emit light of a specific wavelength to human tissue, and then detect the intensity and characteristics of the reflected light. When the heart contracts and relaxes, the change in the amount of blood in the blood vessels will cause the intensity of the reflected light to change periodically. By analyzing this change, the pulse rate can be calculated. At the same time, the absorption and scattering characteristics of light of different wavelengths are different in the blood, and there is a difference in the absorption of light by oxygenated hemoglobin and deoxygenated hemoglobin. Using this principle, by detecting the intensity ratio of reflected light of different wavelengths, the blood oxygen saturation can be inferred. Therefore, the reflective photoelectric sensor can simultaneously monitor blood oxygen saturation and pulse.

[0074] Using reflective photoelectric sensors to detect blood oxygen saturation and pulse has the following advantages: 1. Convenient and easy to use: It can be easily integrated into various wearable devices or medical monitoring equipment. Users can monitor blood oxygen saturation anytime and anywhere without the need for professional operation, which is highly convenient.

[0075] 2. Non-invasive: Adopting the reflective measurement principle, it does not require puncture or other invasive methods to obtain blood samples, thus avoiding the risk of harm and infection to the human body and improving user comfort and acceptance.

[0076] 3. Real-time monitoring: It can continuously monitor changes in blood oxygen saturation in real time and detect abnormalities in blood oxygen saturation in a timely manner, providing an important basis for early detection and treatment of diseases. It is especially suitable for scenarios such as sleep monitoring, exercise monitoring, and home monitoring of patients with long-term chronic diseases.

[0077] 4. High accuracy: Through the rational design of the optical system and signal processing algorithm, the reflective photoelectric sensor can accurately measure blood oxygen saturation. Its measurement results are highly consistent with the traditional transmission-type blood oxygen saturation measurement method, and can meet the needs of clinical and daily monitoring.

[0078] 5. Strong anti-interference ability: Reflective photoelectric sensors usually use dual-wavelength or multi-wavelength measurement technology, which can effectively suppress interference from factors such as ambient light and skin pigmentation, and improve measurement stability and reliability.

[0079] In some embodiments of this application, the core chip of the reflective photosensor is the MAX30102. The MAX30102 supports dual-wavelength sampling at 650nm and 880nm, with a sampling rate of 1kHz. The specific structure, operating principle, and function of the MAX30102 are well known to those skilled in the art and will not be further described here.

[0080] It should be noted that the reflective photoelectric sensor may also use other core pieces, which should not be regarded as a limitation to the present application.

[0081] In some embodiments of the present application, the intensity of the electrical stimulation generated by the electrical stimulation device 300 is adjustable. The duration of the electrical stimulation generated by the electrical stimulation device 300 is adjustable. The electrical stimulation device 300 includes a PWM control circuit, which is controlled by a control device. The output characteristics meet the following requirements: a pulsed microcurrent-like emission method with three intensity levels: high, medium, and low; each stimulation lasts 5 to 10 minutes; a pulse frequency using a 2Hz to 15Hz sparse-dense wave, a stimulation pulse width of 80 (1±30%) μs, an operating voltage of 3.5V to 4V DC, and current intensities of 2mA, 4mA, and 6mA, with a peak value not exceeding 10mA; and a conductive impedance of the stimulation electrode of 420Ω±10%. Furthermore, the relevant electronic testing standards comply with the requirements of the medical device electrical safety standard system YY9706 or GB9706.

[0082] The intensity and duration of the electrical stimulation generated by the electrical stimulation device 300 can be adjusted according to the abnormality of the blood oxygen saturation data and pulse data and the length of time the target user remains in a supine or prone position as indicated by the body position data. After the blood oxygen saturation data, pulse data and body position data reach a certain state, the relevant mode of electrical stimulation is enabled to remind the user to change his sleeping position. The higher the abnormality of the blood oxygen saturation data and pulse data, and the longer the length of time the target user remains in a supine or prone position as indicated by the body position data, the higher the risk level. At this time, the intensity of the electrical stimulation is controlled to increase and the duration of the electrical stimulation is lengthened to achieve the purpose of quickly waking up the user. An algorithm can be used to determine whether a pulse electrical stimulation signal needs to be sent to the target user, and the required pulse electrical stimulation signal can be calculated based on the physiological parameters of the target user.

[0083] refer to Figure 5This embodiment of the present application also includes an expansion module 220, which is used to obtain other types of biological data. The body position monitoring module, finger circumference monitoring module, data monitoring module 210, and expansion module 220 together constitute the data collection module 200. The body position monitoring module is used to monitor the target user's body position data; the finger circumference monitoring module is used to monitor the target user's finger circumference data; and the data monitoring module 210 is used to obtain the wearer's blood oxygen saturation data and pulse data based on the smart bracelet (i.e., the sleep apnea syndrome monitoring and early warning system of this embodiment of the present application). The main control unit includes a data transmission module 410 and a data analysis module 420. The data collection module 200 transmits the collected data to the data transmission module 410. The data transmission module 410 structures the data and transmits it quickly and losslessly to the data analysis module 420. The data analysis module 420 analyzes the data, processes it, and obtains structured health data. It then uses an algorithm to determine whether a pulsed electrical stimulation signal needs to be sent to the target user, and calculates the required pulsed electrical stimulation signal based on the target user's physiological parameters. The data analysis module 420 then sends the pulse electrical stimulation signal to the electrical stimulation device 300 to perform electrical stimulation on the target user.

[0084] According to the sleep apnea syndrome monitoring and early warning system of the embodiment of the present application, the blood oxygen saturation data, pulse data and body position data of the target user are simultaneously monitored, the risk level is determined according to the blood oxygen saturation data, pulse data and body position data, and the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. Compared with the existing method of monitoring a single blood oxygen saturation data to determine whether sleep apnea occurs, the accuracy and effectiveness of the monitoring results are improved, and the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. It has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0085] According to the sleep apnea syndrome monitoring and early warning method according to the second embodiment of the present application, which is applied to the sleep apnea syndrome monitoring and early warning system according to the first embodiment, the method includes: Obtain the target user's blood oxygen saturation data, pulse data, and body position status data; Determine risk level based on blood oxygen saturation data, pulse data, and body position data; Based on different risk levels, the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies on the target user.

[0086] In some embodiments of the present application, determining the risk level based on blood oxygen saturation data, pulse data, and body position data includes: If the blood oxygen saturation data is less than a preset first blood oxygen saturation safety threshold, and the pulse data is less than a preset first pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a first preset time, the risk level is determined to be the first risk level; If the blood oxygen saturation data is greater than a preset first blood oxygen saturation safety threshold and less than a preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset first pulse safety threshold and less than the preset second pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a second preset time period, the risk level is determined to be the second risk level; If the blood oxygen saturation data is greater than a preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset second pulse safety threshold, and the body position data indicates that the target user maintains a supine or prone position for more than a third preset time, the risk level is determined to be the third risk level; the risk level of the first risk level is higher than the risk level of the second risk level, the risk level of the second risk level is higher than the risk level of the third risk level, and the second preset time is less than the first preset time and greater than the third preset time.

[0087] In some embodiments, the first blood oxygen saturation safety threshold is 85%, and the second blood oxygen saturation safety threshold is 90%; the first pulse safety threshold is 30 bpm, and the second pulse safety threshold is 60 bpm. Lower blood oxygen saturation and pulse data indicate a higher risk. The first preset duration is greater than the second preset duration, which is greater than the third preset duration. The longer the body position data indicates the target user remains in a supine or prone position, the higher the risk.

[0088] It can be understood that if the blood oxygen saturation data is less than the preset first blood oxygen saturation safety threshold, and the pulse data is less than the preset first pulse safety threshold, and the body position data indicates that the target user maintains a supine or prone position for more than a first preset time, it means that the target user maintains a supine or prone position for too long, and the blood oxygen saturation and pulse are abnormally reduced. It is determined that a sleep apnea event has occurred, and the apnea duration is too long, and the target user is in a very dangerous state; if the blood oxygen saturation data is greater than the preset first blood oxygen saturation safety threshold and less than the preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset first pulse safety threshold and less than the preset second pulse safety threshold, and the body position data is greater than the preset first pulse safety threshold and less than the preset second pulse safety threshold, If the status data indicates that the target user remains in a supine or prone position for more than a second preset time, it means that the target user remains in a supine or prone position for a longer time, and the blood oxygen saturation and pulse are lower than normal values. It is determined that a sleep apnea event has occurred, and the apnea duration is shorter than the first risk level. The target user is in a relatively dangerous state; if the blood oxygen saturation data is greater than the preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset second pulse safety threshold, and the body position status data indicates that the target user remains in a supine or prone position for more than a third preset time, it means that the time the target user remains in a supine or prone position, the blood oxygen saturation and pulse are all within the normal range, and the target user is in a relatively safe state.

[0089] In some embodiments of the present application, the control device includes a main control unit and a wireless transmission unit, and the electrical stimulation strategy includes a first electrical stimulation strategy, a second electrical stimulation strategy, and a third electrical stimulation strategy; Based on different risk levels, the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies on the target user, including: If the risk level is the first risk level, a first electrical stimulation strategy is executed on the target user. The first electrical stimulation strategy includes: the main control unit controls the electrical stimulation device 300 to stimulate the target user, and transmits the blood oxygen saturation data, pulse data, and body position status data to the remote terminal via the wireless transmission unit, so that the remote terminal generates an audible alarm signal to remind the target user; If the risk level is the second risk level, a second electrical stimulation strategy is executed on the target user, the second electrical stimulation strategy comprising: the main control unit controls the electrical stimulation device 300 to emit electrical stimulation to the target user; If the risk level is the third risk level, a third electrical stimulation strategy is executed on the target user. The third electrical stimulation strategy includes: the main control unit controls the electrical stimulation device 300 to stop emitting electrical stimulation to the target user.

[0090] It can be understood that if the risk level is the first risk level, it means that the target user has been in a supine or prone position for too long, and the blood oxygen saturation and pulse are abnormally low. It is determined that a sleep apnea event has occurred, and the apnea duration is relatively long. The target user is in a very dangerous state, and it is necessary to control the electric stimulation device 300 to emit electric stimulation to the target user to wake up the target user and resolve the crisis. In order to avoid the electric stimulation failing to wake up the target user, causing the target user to continue to be in a dangerous state, it is also necessary to transmit the blood oxygen saturation data, pulse data and body position status data to the remote terminal through the wireless transmission unit, so that the remote terminal generates a sound alarm signal to remind, and double reminders are used to ensure that intervention is in place.

[0091] If the risk level is the second risk level, it means the target user has been in the supine or prone position for an extended period of time, and their blood oxygen saturation and pulse are lower than normal. This indicates that a sleep apnea event has occurred, and the duration of the apnea is shorter than that of the first risk level. The target user is in a more dangerous state, and it is necessary to control the electrical stimulation device 300 to deliver electrical stimulation to the target user to awaken them and resolve the crisis. Compared to the first risk level, the second risk level is less risky, and the target user can be awakened solely through electrical stimulation, which also optimizes resource utilization.

[0092] If the risk level is the third risk level, it means that the target user maintains the supine or prone position for a certain period of time, and the blood oxygen saturation and pulse are all within the normal range. The target user is in a relatively safe state. At this time, the electrical stimulation to the target user is stopped, and the blood oxygen saturation data, pulse data, and body position status data are continuously monitored.

[0093] Based on different risk levels, the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies for the target user, which has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0094] In some embodiments of the present application, controlling the electrical stimulation device 300 to emit electrical stimulation to the target user includes: Based on the reinforcement learning algorithm, the electrical stimulation parameters are determined according to the blood oxygen saturation data, pulse data and body position data; The electrical stimulation device 300 is controlled to emit electrical stimulation to the target user according to the electrical stimulation parameters.

[0095] Determining electrical stimulation parameters based on blood oxygen saturation data, pulse data, and body position data based on a reinforcement learning algorithm has the following benefits: 1. Personalized, Precise Intervention: A reinforcement learning algorithm dynamically adjusts electrical stimulation parameters based on each user's unique blood oxygen saturation, pulse, and body position data, enabling personalized intervention plans. Different users respond differently to electrical stimulation, and this approach can precisely meet individual needs and improve intervention effectiveness.

[0096] 2. Adaptive adjustment: The physiological state of the human body changes dynamically. The reinforcement learning algorithm can monitor changes in blood oxygen saturation data, pulse data, and body position data in real time, and adjust the electrical stimulation parameters accordingly to provide the most suitable electrical stimulation for the current state, ensuring the effectiveness and safety of the intervention.

[0097] 3. Optimizing intervention effects: Through continuous learning and optimization, the reinforcement learning algorithm can find the optimal combination of electrical stimulation parameters to achieve the best intervention effect. For example, based on feedback from blood oxygen saturation data, pulse data, and body position data, parameters such as the intensity, frequency, and duration of electrical stimulation can be adjusted.

[0098] 4. Reduce human intervention: The algorithm can automatically determine the electrical stimulation parameters based on physiological data, reducing the workload and subjectivity of manual parameter adjustment, reducing the risk of intervention due to human misjudgment, improving the stability and reliability of intervention, and also helping to realize the automation and intelligence of the medical process.

[0099] 5. Data-driven decision-making: The reinforcement learning algorithm learns and makes decisions based on a large amount of blood oxygen saturation data, pulse data, and body position data. It can explore the potential patterns and associations in the data, which makes the determination of electrical stimulation parameters more scientific and objective, avoiding the empirical and limitations that may exist in traditional methods.

[0100] In some embodiments of the present application, electrical stimulation parameters are determined based on the blood oxygen saturation data, pulse data, and body position data based on a reinforcement learning algorithm, including: Get risk level; Determine, according to the risk level, a first weight corresponding to the blood oxygen saturation data, a second weight corresponding to the pulse data, and a third weight corresponding to the body position data; Based on the reinforcement learning algorithm, the intensity and duration of the electrical stimulation are determined according to the blood oxygen saturation data, the first weight, the pulse data, the second weight, the body position data and the third weight; The electrical stimulation parameters are obtained according to the electrical stimulation intensity and duration.

[0101] The advantages of setting different weights for blood oxygen saturation data, pulse data, and body position data to determine electrical stimulation parameters are: 1. Improved Targetedness: Weights can be flexibly adjusted based on specific intervention needs and user conditions. Blood oxygen saturation is more critical for reflecting the condition and intervention effectiveness, so a higher weight can be assigned to it, allowing electrical stimulation parameters to focus more on improving blood oxygen levels and enhancing targeted intervention.

[0102] 2. Comprehensive consideration of physiological status: Blood oxygen saturation data, pulse data, and body position data reflect the physiological status of the human body from different aspects. Setting different weights can effectively integrate the three pieces of information, avoid the one-sidedness of determining electrical stimulation parameters based on only a single data, and more comprehensively consider the user's overall physiological condition, making the electrical stimulation plan more reasonable.

[0103] 3. Optimize intervention effects: By setting weights appropriately, the roles of blood oxygen saturation data, pulse data, and body position data in determining electrical stimulation parameters can be balanced. This allows us to find the electrical stimulation parameter combination that best suits the individual user, better regulate the body's physiological functions, and improve intervention effects.

[0104] 4. Enhanced Flexibility: Weights can be dynamically adjusted based on actual conditions at different intervention stages or for different user groups. For example, for a user with severe sleep apnea syndrome, blood oxygen saturation data may be given more attention in the early stages, and then pulse data may be gradually weighted as the condition stabilizes, enabling personalized and flexible intervention plans.

[0105] 5. Improved safety: Preventing inappropriate electrostimulation parameter settings due to over-reliance on a single data point reduces the risk of harm to the user. By comprehensively considering and rationally allocating weights, electrostimulation achieves a balance between improving blood oxygenation and maintaining a normal pulse, ensuring the safety and stability of the intervention process.

[0106] In some embodiments of the present application, after obtaining the target user's blood oxygen saturation data, pulse data, and body position data, the following steps are further included: The blood oxygen saturation data, pulse data, and body position data are input into the pre-trained long short-term memory network model to obtain the respiratory prediction results; When the breathing prediction result indicates that a sleep apnea event is about to occur, the electrical stimulation device 300 is controlled to emit electrical stimulation to the target user.

[0107] Inputting blood oxygen saturation data, pulse data, and body position data into a pre-trained long short-term memory network model to predict sleep apnea events has the following benefits: 1. Utilizing Time Series Information: LSTM networks can effectively process the time series information contained in blood oxygen saturation data, pulse data, and body position data. Sleep apnea events are associated with these physiological data in a time series manner. LSTM networks can capture the trends and patterns of these data changes over time, such as a gradual decrease in blood oxygen saturation, abnormal pulse fluctuations, and changes in body position, thereby more accurately predicting the occurrence of sleep apnea events.

[0108] 2. Processing complex relationships: It can handle the complex relationships between blood oxygen saturation data, pulse data, and body position data. These three types of data influence and correlate with each other. The long short-term memory network can learn the intrinsic connections between them, comprehensively consider multi-dimensional information for prediction, and improve the accuracy and reliability of the prediction.

[0109] 3. Adapt to individual differences: Sleep apnea conditions and physiological characteristics vary among individuals. The trained long-short-term memory network can learn and adjust based on a large amount of individual data to adapt to the characteristics of different individuals. By learning the individual's specific blood oxygen saturation data, pulse data, and body position data patterns, it can provide each individual with a more accurate prediction of sleep apnea events.

[0110] 4. Real-time monitoring and early warning: Real-time monitoring and early warning are possible. The long short-term memory network can process input blood oxygen saturation data, pulse data, and body position data in real time. Once signs of possible sleep apnea are detected, an early warning can be issued so that appropriate measures can be taken, such as reminding the user to adjust their sleeping position or seek medical attention promptly, helping to prevent the serious consequences of sleep apnea.

[0111] 5. Non-invasiveness and convenience: The prediction method based on blood oxygen saturation data, pulse data and body position data is a non-invasive monitoring method. This data can be easily obtained through wearable devices. Compared with some invasive or complex monitoring methods, it is more convenient, comfortable, and easy for users to accept. It is conducive to long-term continuous monitoring and provides rich data support for the prediction of sleep apnea events.

[0112] According to the sleep apnea syndrome monitoring and early warning method of the embodiment of the present application, the blood oxygen saturation data, pulse data and body position status data of the target user are simultaneously monitored, the risk level is determined based on the blood oxygen saturation data, pulse data and body position status data, and the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. Compared with the existing method of monitoring a single blood oxygen saturation data to determine whether sleep apnea occurs, the accuracy and effectiveness of the monitoring results are improved, and the electrical stimulation device 300 is controlled to execute different electrical stimulation strategies for the target user based on different risk levels. It has good flexibility, can improve the intervention effect, enhance safety, and optimize resource utilization.

[0113] In addition, an embodiment of the present application further provides a control device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor and the memory may be connected via a bus or other means.

[0114] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0115] The non-transient software program and instructions required to implement the sleep apnea syndrome monitoring and early warning method of the above embodiment are stored in the memory, and when executed by the processor, the sleep apnea syndrome monitoring and early warning method of the above embodiment is executed.

[0116] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0117] In addition, an embodiment of the present application also provides a computer-readable storage medium, which stores computer-executable instructions. The computer-executable instructions are executed by a processor or controller, for example, by the processor of the above-mentioned control device, so that the above-mentioned processor can execute the sleep apnea syndrome monitoring and early warning method in the above-mentioned embodiment.

[0118] Those skilled in the art will appreciate that all or some of the steps and systems disclosed above can be implemented as software, firmware, hardware, or any suitable combination thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is well known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0119] The embodiments of the present application are described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments. Various changes can be made within the scope of knowledge possessed by ordinary technicians in the relevant technical field without departing from the purpose of the present application.

Claims

1. A sleep apnea syndrome monitoring and early warning system, comprising: A health data monitoring device for monitoring the target user's blood oxygen saturation data, pulse data, and body position status data; an electrical stimulation device for generating transcutaneous electrical stimulation to the target user; A control device is electrically connected to the health data monitoring device and the electrical stimulation device, respectively. The control device is used to obtain the blood oxygen saturation data, pulse data and body position data of the target user, determine the risk level according to the blood oxygen saturation data, the pulse data and the body position data, and control the electrical stimulation device to execute different electrical stimulation strategies for the target user based on different risk levels.

2. The sleep apnea syndrome monitoring and early warning system according to claim 1, characterized in that: The health data monitoring device includes: Ring housing; A data monitoring module is provided on the inner ring of the ring housing, and is used to monitor the blood oxygen saturation data and the pulse data; A body position monitoring module is provided on the inner ring of the ring housing, and is used to monitor the body position status data; A finger circumference monitoring module is provided on the inner ring of the ring housing, and is used to monitor the finger circumference data of the target user; the control device is used to issue an alarm when the finger circumference data is smaller than the preset finger circumference corresponding to the target user.

3. The sleep apnea syndrome monitoring and early warning system according to claim 2, characterized in that: The electrical stimulation device is arranged on the inner ring of the finger ring shell, and the control device is arranged inside the finger ring shell.

4. The sleep apnea syndrome monitoring and early warning system according to claim 2 or 3, characterized in that: The finger ring housing is a structure capable of adjusting the size of the finger circumference.

5. A sleep apnea syndrome monitoring and early warning method, characterized in that: Applied to the sleep apnea syndrome monitoring and early warning system according to any one of claims 1 to 4, the method comprises: Obtain the target user's blood oxygen saturation data, pulse data, and body position status data; determining a risk level according to the blood oxygen saturation data, the pulse data, and the body position data; The electrical stimulation device is controlled to execute different electrical stimulation strategies on the target user based on the different risk levels.

6. The sleep apnea syndrome monitoring and early warning method according to claim 5, characterized in that: The determining of the risk level according to the blood oxygen saturation data, the pulse data, and the body position data includes: If the blood oxygen saturation data is less than a preset first blood oxygen saturation safety threshold, and the pulse data is less than a preset first pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a first preset time period, the risk level is determined to be the first risk level; If the blood oxygen saturation data is greater than the first preset blood oxygen saturation safety threshold and less than the second preset blood oxygen saturation safety threshold, and the pulse data is greater than the first preset pulse safety threshold and less than the second preset pulse safety threshold, and the body position data indicates that the target user remains in a supine or prone position for more than a second preset time period, the risk level is determined to be the second risk level; If the blood oxygen saturation data is greater than the preset second blood oxygen saturation safety threshold, and the pulse data is greater than the preset second pulse safety threshold, and the body position data indicates that the target user maintains a supine or prone position for more than a third preset time, the risk level is determined to be the third risk level; the risk level of the first risk level is higher than the risk level of the second risk level, the risk level of the second risk level is higher than the risk level of the third risk level, and the second preset time is less than the first preset time and greater than the third preset time.

7. The sleep apnea syndrome monitoring and early warning method according to claim 6, characterized in that: The control device includes a main control unit and a wireless transmission unit, and the electrical stimulation strategy includes a first electrical stimulation strategy, a second electrical stimulation strategy and a third electrical stimulation strategy; The controlling the electrical stimulation device to execute different electrical stimulation strategies on the target user based on different risk levels includes: If the risk level is the first risk level, executing the first electrical stimulation strategy on the target user, the first electrical stimulation strategy comprising: the main control unit controlling the electrical stimulation device to stimulate the target user, and transmitting the blood oxygen saturation data, the pulse data, and the body position status data to a remote terminal via the wireless transmission unit, so that the remote terminal generates an audible alarm signal for reminder; If the risk level is the second risk level, executing the second electrical stimulation strategy on the target user, the second electrical stimulation strategy comprising: the main control unit controlling the electrical stimulation device to emit electrical stimulation to the target user; If the risk level is the third risk level, the third electrical stimulation strategy is executed on the target user, and the third electrical stimulation strategy includes: the main control unit controls the electrical stimulation device to stop emitting electrical stimulation to the target user.

8. The sleep apnea syndrome monitoring and early warning method according to claim 7, characterized in that: Controlling the electrical stimulation device to emit electrical stimulation to the target user includes: determining electrical stimulation parameters based on the blood oxygen saturation data, the pulse data, and the body position data based on a reinforcement learning algorithm; The electrical stimulation device is controlled to emit electrical stimulation to the target user according to the electrical stimulation parameters.

9. The sleep apnea syndrome monitoring and early warning method according to claim 8, characterized in that: The step of determining electrical stimulation parameters based on the blood oxygen saturation data, the pulse data, and the body position data based on a reinforcement learning algorithm includes: obtaining the risk level; determining, according to the risk level, a first weight corresponding to the blood oxygen saturation data, a second weight corresponding to the pulse data, and a third weight corresponding to the body position data; Determining the electrical stimulation intensity and duration based on the blood oxygen saturation data, the first weight, the pulse data, the second weight, the body position data, and the third weight based on a reinforcement learning algorithm; The electrical stimulation parameters are obtained according to the electrical stimulation intensity and the electrical stimulation duration.

10. The sleep apnea syndrome monitoring and early warning method according to claim 5, characterized in that: After obtaining the target user's blood oxygen saturation data, pulse data, and body position data, the method further includes: Inputting the blood oxygen saturation data, the pulse data, and the body position data into a pre-trained long short-term memory network model to obtain a respiration prediction result; In a case where the breathing prediction result indicates that a sleep apnea event is about to occur, the electrical stimulation device is controlled to emit electrical stimulation to the target user.

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