Sleep monitoring method and device, smart watch, storage medium and product

Abstract

The invention discloses a sleep monitoring method and device, a smart watch, a storage medium and a product, and relates to the technical field of computers, and the sleep monitoring method comprises the steps that a real-time sleep state and real-time sleep data are acquired; monitoring whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range or not in real time; if the real-time sleep data does not meet the normal monitoring data range, determining an abnormal emergency mark; and if the abnormal emergency sign is monitored, executing a preset reminding decision. According to the method, the real-time sleep state and the real-time sleep data are acquired, so that the sleep state and the physiological indexes of the user are comprehensively monitored, whether the abnormal emergency sign is triggered or not is monitored, and emergency response after the sleep state is better realized.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to sleep monitoring methods, devices, smart watches, storage media and products. Background Art

[0002] In modern life, smart watches have become an important tool for people's daily health management. Smart watches can not only monitor users' heart rate, steps, sleep quality and other health data, but also analyze users' physiological status and behavioral habits through various sensors and algorithms, and provide personalized health advice and reminders.

[0003] However, the existing smart watches still have insufficient measures to deal with emergencies after the user falls asleep. For example, in the prior art, the user's sleep state is only monitored and abnormal alarms are given through heart rate sensors or acceleration sensors, but it cannot respond to certain specific scenarios and lacks technical means for strong awakening under special conditions, which limits the application effect of smart watches in emergency situations and affects the safety and health of users.

[0004] Therefore, how to better cope with emergencies after sleeping is a problem that needs to be solved urgently.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide a sleep monitoring method, aiming to solve the technical problem of insufficient response to emergencies occurring during sleep.

[0007] To achieve the above objectives, the present application proposes a sleep monitoring method, the method comprising:

[0008] Get real-time sleep status and real-time sleep data;

[0009] Real-time monitoring of whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range;

[0010] If the real-time sleep data does not meet the normal monitoring data range, determining an abnormal emergency event flag;

[0011] If the abnormal emergency event sign is detected, the preset reminder decision is executed.

[0012] In one embodiment, the step of executing a preset reminder decision includes:

[0013] Get reminder requests that need to be sent to other devices;

[0014] Control the preset vibration device to vibrate to remind;

[0015] Control the preset speaker device to ring a reminder;

[0016] Sending the reminder request to a Bluetooth device in the Bluetooth environment, so that the Bluetooth-connected device can execute a reminder decision;

[0017] The reminder request is sent to a wireless device in the wireless environment so that the device in the wireless environment executes a reminder decision.

[0018] In one embodiment, if the abnormal emergency event sign is detected, the step of executing a preset reminder decision includes:

[0019] Receive earthquake warning information;

[0020] Inputting the earthquake warning information and the real-time sleep state into a preset abnormal sudden rating model to determine an abnormal sudden rating value;

[0021] If the abnormal burst score value does not meet the preset safety range, the abnormal burst time mark is determined.

[0022] In one embodiment, if the abnormal emergency event sign is detected, the step of executing a preset reminder decision includes:

[0023] Receive real-time positioning signals, real-time sleep data, and gesture sensor data;

[0024] Determining whether the driver is in a fatigue driving state according to the real-time positioning signal, the real-time sleep data and the gesture sensor data;

[0025] If it is determined to be a fatigue driving state, determine the abnormal sudden time mark.

[0026] In one embodiment, before the step of real-time monitoring whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range, the step further includes:

[0027] Obtain user identity information;

[0028] According to the user identity information, query and obtain the user's historical heart rate information, historical blood oxygen saturation information, and historical hand swing amplitude information;

[0029] Using a preset sleep information screening model, the historical heart rate information, the historical blood oxygen saturation information, and the historical hand swing amplitude information are screened and processed to obtain a user's historical sleep data sample;

[0030] Monitoring whether the user's historical sleep data sample exceeds a preset monitoring standard range;

[0031] If the user's historical sleep data sample exceeds the monitoring standard range, obtaining the user's personalized setting information and the user's disease information according to the user's identity information;

[0032] Obtaining a sleep monitoring range corresponding to the user's disease information;

[0033] Based on the user personalized setting information and the sleep monitoring range, the monitoring standard range is personalized adjusted to obtain a normal monitoring data range.

[0034] In one embodiment, before the step of real-time monitoring whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range, the step further includes:

[0035] Get historical sleep data;

[0036] Determine a sleep state change score value based on the historical sleep data and the real-time sleep data;

[0037] According to the sleep state change score value, the preset monitoring data range is dynamically adjusted to obtain a normal monitoring data range.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a sleep monitoring device, which includes: an acquisition module, used to acquire real-time sleep status and real-time sleep data;

[0039] A monitoring module, used for monitoring in real time whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range;

[0040] A determination module, configured to determine an abnormal emergency event flag if the real-time sleep data does not meet the normal monitoring data range;

[0041] The execution module is used to execute a preset reminder decision if the abnormal emergency event sign is detected.

[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes a smart watch, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the sleep monitoring method described above.

[0043] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the sleep monitoring method described above are implemented.

[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the sleep monitoring method described above are implemented.

[0045] One or more technical solutions proposed in this application have at least the following technical effects:

[0046] Compared with the current technology, which only monitors the user's sleep state and alarms abnormalities through heart rate sensors or acceleration sensors, but cannot respond to certain specific scenarios and lacks technical means for strong awakening under special conditions, which limits the application effect of smart watches in emergency situations and affects the safety and health of users, this application obtains real-time sleep status and real-time sleep data; monitors in real time whether the real-time sleep state and real-time sleep data meet the preset normal monitoring data range; if the real-time sleep data does not meet the normal monitoring data range, an abnormal emergency event flag is determined; if the abnormal emergency event flag is detected, a preset reminder decision is executed. It can be understood that this application achieves comprehensive monitoring of the user's sleep state and physiological indicators by acquiring real-time sleep status and real-time sleep data, and then monitors whether the abnormal emergency event flag is triggered, so as to achieve better response to emergencies after the sleep state. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0049] Figure 1 A flowchart of an embodiment of the sleep monitoring method of the present application is provided;

[0050] Figure 2 This is a schematic diagram of the module structure of the sleep monitoring device according to an embodiment of the present application;

[0051] Figure 3 A schematic diagram of the structure of a smart watch of the hardware operating environment involved in the sleep monitoring method in an embodiment of the present application.

[0052] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0054] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0055] The main solution of the embodiment of the present application is: obtaining real-time sleep status and real-time sleep data;

[0056] Real-time monitoring of whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range;

[0057] If the real-time sleep data does not meet the normal monitoring data range, determining an abnormal emergency event flag;

[0058] If the abnormal emergency event sign is detected, the preset reminder decision is executed.

[0059] In this embodiment, the present application uses a sleep monitoring device as the execution subject. For ease of description, it is specifically described below as “device”.

[0060] Since the existing technology only monitors the user's sleep status and issues abnormal alarms through heart rate sensors or acceleration sensors, but cannot respond to certain specific scenarios and lacks the technical means to perform strong wake-up under special conditions, the application effect of smart watches in emergency situations is limited, resulting in the user's safety and health being affected.

[0061] The present application provides a solution, which realizes comprehensive monitoring of the user's sleep status and physiological indicators by acquiring real-time sleep status and real-time sleep data, while also taking into account the monitoring of dangerous scenarios such as earthquake warning or fatigue driving, to realize the calibration of abnormal emergencies, and then monitor whether the abnormal emergency event flag is triggered, thereby realizing better response to emergencies after the sleep state.

[0062] Based on this, the present application embodiment provides a sleep monitoring method, referring to Figure 1 , Figure 1 This is a flowchart of the first embodiment of the sleep monitoring method of the present application.

[0063] In this embodiment, the sleep monitoring method includes steps S10 to S40:

[0064] Step S10, obtaining real-time sleep status and real-time sleep data;

[0065] It should be noted that the real-time sleep status refers to the sleep status of an individual at a specific moment, including but not limited to sleep stages (such as light sleep, deep sleep), sleep duration, frequency of sleep interruptions, etc., which can immediately reflect the individual's sleep quality. The real-time sleep data refers to real-time data about the individual's sleep status collected through various sensors or monitoring devices, including but not limited to physiological indicators such as heart rate, breathing rate, body movement, brain wave activity, and environmental factors such as temperature, light, etc.

[0066] It can be understood that by effectively obtaining real-time sleep status and real-time sleep data, key information can be provided for subsequent sleep analysis, health assessment and intervention measures.

[0067] Step S20, real-time monitoring of the real-time sleep state and the real-time sleep data to see whether they meet a preset normal monitoring data range;

[0068] It should be noted that the real-time sleep data refers to the real-time data about the individual's sleep status collected through various sensors or monitoring devices, including but not limited to physiological indicators such as heart rate, breathing rate, body movement, brain wave activity, and environmental factors such as temperature, light, etc.; the normal monitoring data range is a pre-set reference value interval for evaluating whether the sleep data is normal.

[0069] It is understandable that real-time monitoring of the real-time sleep state and whether the real-time sleep data meets the preset normal monitoring data range is an important part of ensuring individual health and safety. Through continuous monitoring and timely feedback, the system can respond quickly when abnormal situations occur, thereby improving the reliability and effectiveness of sleep monitoring.

[0070] Step S30, if the real-time sleep data does not meet the normal monitoring data range, then determine an abnormal emergency event flag;

[0071] It should be noted that the real-time sleep data refers to real-time data about the individual's sleep status collected through various sensors or monitoring devices, including but not limited to physiological indicators such as heart rate, breathing rate, body movement, brain wave activity, and environmental factors such as temperature and light; the normal monitoring data range is a pre-set reference value interval for evaluating whether the sleep data is normal; the abnormal emergency event sign is a signal identified and marked by the system when the real-time sleep data exceeds the normal monitoring data range, which requires further attention or intervention.

[0072] It is understandable that by determining the signs of abnormal emergencies, the system can take timely measures when abnormal situations occur, thereby reducing the probability of health risks and improving the reliability and safety of the sleep monitoring system.

[0073] Step S40: If the abnormal emergency event sign is detected, a preset reminder decision is executed.

[0074] It should be noted that the abnormal emergency event sign is a signal identified and marked by the system when the real-time sleep data exceeds the normal monitoring data range, which requires further attention or intervention; the reminder decision is a series of operations automatically performed by the system after the abnormal emergency event sign is detected, which aims to wake up or remind the individual in a strong way (such as sound alarms, vibrations, light changes, etc.) to deal with potential health risks or safety issues.

[0075] In a feasible implementation, step S40 may include:

[0076] Get reminder requests that need to be sent to other devices;

[0077] Control the preset vibration device to vibrate to remind;

[0078] Control the preset speaker device to ring a reminder;

[0079] Sending the reminder request to a Bluetooth device in the Bluetooth environment, so that the Bluetooth-connected device can execute a reminder decision;

[0080] The reminder request is sent to a wireless device in the wireless environment so that the device in the wireless environment executes a reminder decision.

[0081] It should be noted that obtaining a reminder request that needs to be sent to other devices refers to obtaining an instruction or signal that requires other devices to perform a strong reminder action. This request may be generated due to an emergency or important event that requires the user's immediate attention. Controlling a preset vibration device to perform a reminder vibration refers to activating a preset vibration function on the device to produce a strong vibration effect to remind the user. This vibration is usually pre-configured and used when it is necessary to attract the user's attention. Controlling a preset speaker device to perform a reminder ring refers to activating a preset speaker function on the device to make a loud ring or alarm sound to remind the user. This ring is also pre-configured and used when the user's immediate attention is required. Sending the reminder request to the Bluetooth device in the Bluetooth environment so that the Bluetooth-connected device can execute the reminder decision refers to sending the reminder request to all devices within the Bluetooth coverage range through Bluetooth communication technology. The device that receives the request decides whether to execute the reminder operation based on its own capabilities and settings. Sending the reminder request to the wireless device in the wireless environment so that the device in the wireless environment can execute the reminder decision refers to sending the reminder request to all devices within the wireless network coverage range through wireless communication technology. The device that receives the request decides whether to perform the reminder operation based on its own capabilities and settings.

[0082] This embodiment provides a sleep monitoring method, which achieves comprehensive monitoring of the user's sleep state and physiological indicators by acquiring real-time sleep status and real-time sleep data, and then monitors whether abnormal emergency event signs are triggered, thereby achieving better response to emergencies after the sleep state.

[0083] In a feasible implementation manner, before step S40, the sleep monitoring method further includes:

[0084] Receive earthquake warning information;

[0085] Inputting the earthquake warning information and the real-time sleep state into a preset abnormal sudden rating model to determine an abnormal sudden rating value;

[0086] If the abnormal burst score value does not meet the preset safety range, the abnormal burst time mark is determined.

[0087] It should be noted that receiving earthquake warning information refers to receiving warning information about an impending or ongoing earthquake from an earthquake warning system or other relevant sources, including but not limited to key data such as the expected intensity, location, and arrival time of the earthquake. The received earthquake warning information is combined with the real-time sleep status data of the current user and input into a pre-established abnormal burst rating model. The abnormal burst rating model analyzes this data and calculates an abnormal burst score value to quantify the urgency of the current situation. By comparing the calculated abnormal burst score value with the preset safety range threshold. If the score value exceeds the safety range, an abnormal burst time flag will be determined and marked, indicating that the current situation requires immediate attention or action. This flag can trigger subsequent reminders or intervention measures to ensure the safety of the user.

[0088] In a feasible implementation manner, before step S40, the sleep monitoring method further includes:

[0089] Receive real-time positioning signals, real-time sleep data, and gesture sensor data;

[0090] Determining whether the driver is in a fatigue driving state according to the real-time positioning signal, the real-time sleep data and the gesture sensor data;

[0091] If it is determined to be a fatigue driving state, determine the abnormal sudden time mark.

[0092] It should be noted that the real-time positioning signal is the real-time location information from the positioning system, including but not limited to signals obtained by GPS, Beidou or other positioning technologies. The real-time positioning signal can provide information such as the precise location, speed and direction of the vehicle or user. The real-time sleep data refers to the instant data about the individual's sleep state collected by various sensors or monitoring devices, including but not limited to physiological indicators such as heart rate, breathing rate, body movement, and brain wave activity. The gesture sensor data refers to the data of the user's hand movement and posture obtained by the gesture sensor, which can reflect the user's activity status and intention.

[0093] It is understandable that by comprehensively analyzing the real-time positioning signal, real-time sleep data and gesture sensor data, it is possible to determine whether the driver is in a state of fatigue driving. By analyzing the driver's heart rate, breathing rate and hand movements, combined with the vehicle's speed and driving path, the driver's attention level and reaction ability can be assessed to determine whether there is a risk of fatigue driving. If the driver is judged to be in a state of fatigue driving, an abnormal sudden time mark will be determined and marked, indicating that the current situation requires immediate attention or action. This mark can trigger subsequent reminders or intervention measures.

[0094] In a feasible implementation manner, before step S20, the sleep monitoring method further includes:

[0095] Obtain user identity information;

[0096] According to the user identity information, query and obtain the user's historical heart rate information, historical blood oxygen saturation information, and historical hand swing amplitude information;

[0097] Using a preset sleep information screening model, the historical heart rate information, the historical blood oxygen saturation information, and the historical hand swing amplitude information are screened and processed to obtain a user's historical sleep data sample;

[0098] Monitoring whether the user's historical sleep data sample exceeds a preset monitoring standard range;

[0099] If the user's historical sleep data sample exceeds the monitoring standard range, obtaining the user's personalized setting information and the user's disease information according to the user's identity information;

[0100] Obtaining a sleep monitoring range corresponding to the user's disease information;

[0101] Based on the user personalized setting information and the sleep monitoring range, the monitoring standard range is personalized adjusted to obtain a normal monitoring data range.

[0102] It should be noted that the user identity information is the user's personal identity information, which is used to confirm the user's identity and provide personalized services or manage their health data. By using the user's identity information as an index, the user's past recorded heart rate, blood oxygen saturation and hand swing amplitude data are retrieved from the database or health record system, which helps to understand the user's health status and habits.

[0103] It is understood that historical health data is analyzed and filtered by applying a pre-trained model to extract information related to the user's sleep. This model may consider multiple factors, such as the pattern of changes in heart rate and blood oxygen saturation at night, and the relationship between the amplitude of hand swing and sleep quality, to generate a data sample representing the user's historical sleep status. The user's historical sleep data samples are automatically evaluated to check whether the data are within the normal range. If certain indicators exceed the preset health standard range, this may indicate that the user's sleep quality has problems or potential health risks. When the user's sleep data is found to be abnormal, the smart watch will further use the user's identity information to obtain more detailed personalized setting information and the user's medical history. This information can help understand the user's special needs and health conditions, and provide a basis for subsequent analysis and suggestions. The smart watch will obtain specific sleep monitoring standard ranges related to these diseases based on the user's disease information. For example, for patients with heart disease, there may be a specific heart rate monitoring range; for patients with respiratory diseases, there may be a specific blood oxygen saturation monitoring range. Finally, the smart watch will adjust the original monitoring standard range in combination with the user's personalized settings and disease-related sleep monitoring range to create a normal monitoring data range that is more suitable for the user's individual situation. This way, the smartwatch can more accurately monitor and assess the user's sleep quality, taking into account the user's personal health status and preferences.

[0104] In a feasible implementation manner, before step S20, the sleep monitoring method further includes:

[0105] Get historical sleep data;

[0106] Determine a sleep state change score value based on the historical sleep data and the real-time sleep data;

[0107] According to the sleep state change score value, the preset monitoring data range is dynamically adjusted to obtain a normal monitoring data range.

[0108] It should be noted that the historical sleep data refers to the user's sleep data over the past period of time, including but not limited to various physiological indicators such as heart rate, blood oxygen saturation, respiratory rate, body movement, as well as information such as the user's sleep stage and overall sleep quality.

[0109] It is understandable that the smartwatch will compare and analyze the historical sleep data obtained with the current real-time sleep data to evaluate the changes in the user's sleep status. By analyzing the changing trends of these data, the smartwatch can calculate a sleep status change score to quantify the degree of change in sleep quality. The smartwatch will dynamically adjust the pre-set monitoring data range based on the calculated sleep status change score. If the score indicates that the user's sleep status has improved or deteriorated, the system will adjust the normal range of the monitoring data accordingly to more accurately reflect the user's current health status and sleep needs. This dynamic adjustment can improve the sensitivity and accuracy of monitoring, helping users better manage and optimize their sleep quality.

[0110] For example, in order to help understand the implementation process of the sleep monitoring method obtained by combining this embodiment with the above embodiments, specifically:

[0111] Smart watches use built-in sensors to obtain real-time sleep status and sleep data of users, such as heart rate, blood oxygen saturation, etc. Smart watches monitor these data in real time and determine whether they are within the preset normal range, such as heart rate of 60-100 beats / minute. If the heart rate is detected to be lower than 60 beats / minute, the system will determine the abnormal emergency sign and execute the preset reminder decision, such as vibrating to remind the user.

[0112] When abnormal emergency event signs are detected, the smart watch will execute the reminder decision through the following steps: first, obtain the reminder request that needs to be sent to other responsive devices; second, control the vibration device in the smart watch to vibrate for reminder; then, control the speaker device to ring for reminder; finally, send the reminder request to other responsive devices via Bluetooth and wireless network, so that other responsive devices can also execute the reminder operation.

[0113] The smartwatch receives earthquake warning information, inputs the earthquake warning information and real-time sleep status into the abnormal sudden rating model, and calculates the abnormal sudden score value. If the score value exceeds the preset safety range, the smartwatch determines the abnormal sudden time mark and then executes the reminder decision.

[0114] The smartwatch receives real-time positioning signals, real-time sleep data, and gesture sensor data. Based on this data, the device determines whether the user is in a fatigue driving state. If the judgment result is a fatigue driving state, the device determines the abnormal sudden time mark and executes a reminder decision, such as notifying the car speaker to sound.

[0115] The smartwatch will obtain the user's identity information and query the user's historical heart rate, blood oxygen saturation, and hand swing amplitude information. After processing these historical data through the sleep information screening model, the user's historical sleep data samples are obtained. If these samples exceed the preset monitoring standard range, the smartwatch will adjust the monitoring standard range according to the user's personalized settings and disease information to obtain the normal monitoring data range.

[0116] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the sleep monitoring method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0117] This application also provides a sleep monitoring device, please refer to Figure 2 , the sleep monitoring device comprises:

[0118] An acquisition module 10 is used to acquire real-time sleep status and real-time sleep data;

[0119] A monitoring module 20, used for monitoring in real time whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range;

[0120] A determination module 30, configured to determine an abnormal emergency event flag if the real-time sleep data does not meet the normal monitoring data range;

[0121] The execution module 40 is used to execute a preset reminder decision if the abnormal emergency event sign is detected.

[0122] And / or, the execution module 40 includes:

[0123] A first acquisition module is used to acquire a reminder request that needs to be sent to other devices;

[0124] A first control module, used to control a preset vibration device to perform reminder vibration;

[0125] A second control module is used to control a preset speaker device to ring a reminder;

[0126] A first sending module, used for sending the reminder request to a Bluetooth device in a Bluetooth environment, so that the Bluetooth-connected device can execute a reminder decision;

[0127] The second sending module is used to send the reminder request to the wireless device in the wireless environment, so that the device in the wireless environment can execute the reminder decision.

[0128] And / or, the sleep monitoring device comprises:

[0129] A first receiving module, used for receiving earthquake early warning information;

[0130] A first determination module is used to input the earthquake warning information and the real-time sleep state into a preset abnormal sudden rating model to determine an abnormal sudden rating value;

[0131] The second determination module is configured to determine an abnormal burst time mark if the abnormal burst score value does not meet a preset safety range.

[0132] And / or, the sleep monitoring device comprises:

[0133] A second receiving module is used to receive real-time positioning signals, real-time sleep data and gesture sensor data;

[0134] A first judgment module, used for judging whether the driver is in a fatigue driving state according to the real-time positioning signal, the real-time sleep data and the gesture sensor data;

[0135] The third determination module is used to determine the abnormal sudden time mark if the driving state is determined to be fatigue driving state.

[0136] And / or, the sleep monitoring device comprises:

[0137] The second acquisition module is used to obtain user identity information;

[0138] A third acquisition module is used to query and obtain the user's historical heart rate information, historical blood oxygen saturation information and historical hand swing amplitude information according to the user identity information;

[0139] A first processing module is used to filter and process the historical heart rate information, the historical blood oxygen saturation information and the historical hand swing amplitude information by using a preset sleep information screening model to obtain a user's historical sleep data sample;

[0140] A first monitoring module, used to monitor whether the user's historical sleep data sample exceeds a preset monitoring standard range;

[0141] A fourth acquisition module, configured to acquire user personalized setting information and user disease information according to user identity information if the user's historical sleep data sample exceeds the monitoring standard range;

[0142] A fifth acquisition module, used to acquire the sleep monitoring range corresponding to the disease information of the user;

[0143] The first adjustment module is used to perform personalized adjustment on the monitoring standard range based on the user personalized setting information and the sleep monitoring range to obtain a normal monitoring data range.

[0144] And / or, the sleep monitoring device comprises:

[0145] A sixth acquisition module, used to acquire historical sleep data;

[0146] a fourth determination module, configured to determine a sleep state change score value based on the historical sleep data and the real-time sleep data;

[0147] The second adjustment module is used to dynamically adjust the preset monitoring data range according to the sleep state change score value to obtain a normal monitoring data range.

[0148] The sleep monitoring device provided by the present application adopts the sleep monitoring method in the above embodiment, which can solve the technical problem of insufficient response to emergencies occurring during sleep. Compared with the prior art, the beneficial effects of the sleep monitoring device provided by the present application are the same as the beneficial effects of the sleep monitoring method provided by the above embodiment, and the other technical features in the sleep monitoring device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0149] The present application provides a smart watch, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the sleep monitoring method in the above-mentioned embodiment 1.

[0150] Reference below Figure 3 , which shows a schematic diagram of the structure of a sleep monitoring device suitable for implementing the embodiment of the present application. The smart watch in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, tablet computers, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The smart watch shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0151] like Figure 3As shown, the smart watch may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the smart watch are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the smart watch to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a smart watch with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0152] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0153] The smartwatch provided by the present application adopts the sleep monitoring method in the above embodiment, which can solve the technical problem of insufficient response to emergencies occurring during sleep. Compared with the prior art, the beneficial effects of the smartwatch provided by the present application are the same as those of the sleep monitoring method provided by the above embodiment, and the other technical features of the smartwatch are the same as those disclosed in the method of the previous embodiment, which will not be described in detail here.

[0154] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0155] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0156] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the sleep monitoring method in the above-mentioned embodiment.

[0157] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0158] The computer-readable storage medium may be included in the smart watch, or may exist independently without being assembled in the smart watch.

[0159] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the smart watch, the smart watch: obtains real-time sleep status and real-time sleep data;

[0160] Real-time monitoring of whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range;

[0161] If the real-time sleep data does not meet the normal monitoring data range, determining an abnormal emergency event flag;

[0162] If the abnormal emergency event sign is detected, the preset reminder decision is executed.

[0163] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0164] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0165] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0166] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned sleep monitoring method, and can solve the technical problem of insufficient response to emergencies occurring during sleep. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the sleep monitoring method provided by the above-mentioned embodiment, and will not be elaborated here.

[0167] The present application also provides a computer program product, including a computer program, which implements the steps of the sleep monitoring method as described above when executed by a processor.

[0168] The computer program product provided by the present application can solve the technical problem of insufficient response to emergencies occurring during sleep. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the sleep monitoring method provided by the above embodiment, and will not be elaborated here.

[0169] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A sleep monitoring method, characterized in that: The method includes: Get real-time sleep status and real-time sleep data; Real-time monitoring of whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range; If the real-time sleep data does not meet the normal monitoring data range, determining an abnormal emergency event flag; If the abnormal emergency event sign is detected, the preset reminder decision is executed.

2. The method according to claim 1, characterized in that The step of executing the preset reminder decision includes: Get reminder requests that need to be sent to other devices; Control the preset vibration device to vibrate to remind; Control the preset speaker device to ring a reminder; Sending the reminder request to a Bluetooth device in the Bluetooth environment, so that the Bluetooth-connected device can execute a reminder decision; The reminder request is sent to a wireless device in the wireless environment so that the device in the wireless environment executes a reminder decision.

3. The method according to claim 1, characterized in that If the abnormal emergency event sign is detected, the step of executing a preset reminder decision includes: Receive earthquake warning information; Inputting the earthquake warning information and the real-time sleep state into a preset abnormal sudden rating model to determine an abnormal sudden rating value; If the abnormal burst score value does not meet the preset safety range, the abnormal burst time mark is determined.

4. The method according to claim 1, characterized in that If the abnormal emergency event sign is detected, the step of executing a preset reminder decision includes: Receive real-time positioning signals, real-time sleep data, and gesture sensor data; Determining whether the driver is in a fatigue driving state according to the real-time positioning signal, the real-time sleep data and the gesture sensor data; If it is determined to be a fatigue driving state, determine the abnormal sudden time mark.

5. The method according to claim 1, characterized in that Before the step of real-time monitoring whether the real-time sleep state and the real-time sleep data meet the preset normal monitoring data range, the step further includes: Obtain user identity information; According to the user identity information, query and obtain the user's historical heart rate information, historical blood oxygen saturation information, and historical hand swing amplitude information; Using a preset sleep information screening model, the historical heart rate information, the historical blood oxygen saturation information, and the historical hand swing amplitude information are screened and processed to obtain a user's historical sleep data sample; Monitoring whether the user's historical sleep data sample exceeds a preset monitoring standard range; If the user's historical sleep data sample exceeds the monitoring standard range, obtaining the user's personalized setting information and the user's disease information according to the user's identity information; Obtaining a sleep monitoring range corresponding to the user's disease information; Based on the user personalized setting information and the sleep monitoring range, the monitoring standard range is personalized adjusted to obtain a normal monitoring data range.

6. The method according to claim 1, characterized in that Before the step of real-time monitoring whether the real-time sleep state and the real-time sleep data meet the preset normal monitoring data range, the step further includes: Get historical sleep data; Determine a sleep state change score value based on the historical sleep data and the real-time sleep data; According to the sleep state change score value, the preset monitoring data range is dynamically adjusted to obtain a normal monitoring data range.

7. A sleep monitoring device, characterized in that: The device comprises: An acquisition module is used to acquire real-time sleep status and real-time sleep data; A monitoring module, used for monitoring in real time whether the real-time sleep state and the real-time sleep data meet a preset normal monitoring data range; a determination module, configured to determine an abnormal emergency event flag if the real-time sleep data does not meet the normal monitoring data range; The execution module is used to execute a preset reminder decision if the abnormal emergency event sign is detected.

8. A smart watch, characterized in that: The smart watch comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the sleep monitoring method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the sleep monitoring method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the sleep monitoring method according to any one of claims 1 to 6 are implemented.

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