Sleep monitoring reminder method, device, smart wearable device and storage medium

Abstract

The present invention belongs to the field of health monitoring technology, and discloses a sleep monitoring reminder method, device, smart wearable device and storage medium. The present invention obtains the user's physiological characteristic monitoring information and sleep noise monitoring information when it is detected that the user is in a sleeping state. When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, the user is reminded to sleep based on the physiological characteristic monitoring information and the sleep noise monitoring information. Since the present invention determines whether the user's sleep is normal based on the user's physiological characteristic monitoring information and the sleep noise monitoring information, and reminds the user to sleep when the user's sleep is abnormal, it realizes accurate monitoring of the user's sleep state, and timely reminds the user to sleep when there is an abnormality in the user's sleep, effectively improving the user's sleep experience.

Description

Technical Field

[0001] The present invention relates to the field of health monitoring technology, and in particular to a sleep monitoring reminder method, device, smart wearable device and storage medium. Background Art

[0002] Sleep is an indispensable physiological process for humans. When a normal person is sleeping, the airway is open, and air can pass through the airway smoothly, making a steady and quiet breathing sound. However, people who snore when they sleep have poor ventilation at night due to upper airway collapse or tissue lesions such as polyps in the nose. When the airflow passes through a narrow part, the swirl of the airflow causes the inner wall of the airway to vibrate, resulting in the snoring sound we hear. When the airway narrows more and more seriously, or even becomes completely blocked, it may cause respiratory arrest, which is medically called "obstructive sleep apnea syndrome". Repeated pauses in breathing during sleep can easily cause severe hypoxia in the body and form hypoxemia.

[0003] With the rapid improvement of information technology, smart wearable devices have gradually become popular. As people's demand for their own health is getting higher and higher, using the popularity and portability of smart wearable devices to increase the detection of human health has become an important research direction for smart wearable devices. At present, smart wearable devices can only monitor the user's sleep by detecting the human heart rate. The single sleep monitoring data makes it impossible to accurately monitor the user's sleep health, and therefore cannot give users effective sleep reminders.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a sleep monitoring reminder method, device, smart wearable device and storage medium, aiming to solve the technical problem that the existing technology cannot provide users with effective sleep reminders due to the single sleep monitoring data.

[0006] To achieve the above object, the present invention provides a sleep monitoring reminder method, which comprises the following steps:

[0007] When detecting that the user is in a sleeping state, obtaining physiological characteristic monitoring information and sleep noise monitoring information of the user;

[0008] When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, a sleep reminder is given to the user according to the physiological characteristic monitoring information and the sleep noise monitoring information.

[0009] Optionally, when detecting that the user is in a sleeping state, before acquiring the physiological characteristic monitoring information and the sleep noise monitoring information of the user, the method further includes:

[0010] Determining whether the user is a key monitored user;

[0011] When the user is the key monitored user, the step of acquiring the physiological characteristic monitoring information and the sleep noise monitoring information of the user when it is detected that the user is in a sleeping state is performed.

[0012] Optionally, the determining whether the user is a key monitored user includes:

[0013] Obtain the user's body fat parameters and historical exercise data;

[0014] Determine whether the user is a key monitored user based on the body fat parameter and the historical exercise data.

[0015] Optionally, when detecting that the user is in a sleeping state, obtaining the user's physiological characteristic monitoring information and sleeping noise monitoring information includes:

[0016] When detecting that the user is in a sleeping state, obtaining initial physiological characteristic information and initial sleeping noise information of the user;

[0017] Reducing noise on the initial physiological characteristic information and the initial sleep noise information respectively to obtain target physiological characteristic information and target sleep noise information;

[0018] The target physiological characteristic information and the target sleeping noise information are respectively amplified to obtain the physiological characteristic monitoring information and the sleeping noise monitoring information of the user.

[0019] Optionally, when detecting that the user is in a sleeping state, obtaining initial physiological characteristic information and initial sleeping noise information of the user includes:

[0020] When detecting that the user is in a sleeping state, obtaining blood oxygen parameters and heart rate parameters of the user;

[0021] The initial physiological characteristic information is generated according to the blood oxygen parameter and the heart rate parameter, and initial sleeping noise information of the user is obtained.

[0022] Optionally, when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, after reminding the user to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information, the method further includes:

[0023] generating sleep data of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information;

[0024] Generate an exercise suggestion reminder based on the sleep data.

[0025] Optionally, after generating an exercise suggestion reminder according to the sleep data, the method further includes:

[0026] Detect whether there is a connected associated device;

[0027] When a connection with an associated device is detected, the sleep data and the exercise suggestion reminder are sent to the associated device, so that the associated device performs a visual display based on the sleep data and the exercise suggestion reminder.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also proposes a sleep monitoring reminder device, the sleep monitoring reminder device comprising:

[0029] An information acquisition module, used to acquire physiological characteristic monitoring information and sleep noise monitoring information of the user when detecting that the user is in a sleeping state;

[0030] The sleep reminder module is used to remind the user to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information.

[0031] In addition, to achieve the above-mentioned purpose, the present invention also proposes a smart wearable device, which includes: a memory, a communication module, a detection module, a processor, and a sleep monitoring reminder program stored in the memory and runnable on the processor, and the sleep monitoring reminder program is configured to implement the steps of the sleep monitoring reminder method described above.

[0032] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a sleep monitoring reminder program is stored, and when the sleep monitoring reminder program is executed by a processor, the steps of the sleep monitoring reminder method described above are implemented.

[0033] The present invention obtains the physiological characteristic monitoring information and sleep noise monitoring information of the user when it detects that the user is in a sleeping state, and when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, the user is reminded to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information. Since the present invention determines whether the user's sleep is normal based on the user's physiological characteristic monitoring information and the sleep noise monitoring information, and reminds the user to sleep when the user's sleep is abnormal, it realizes accurate monitoring of the user's sleep state, and timely and effective sleep reminders when there is an abnormality in the user's sleep, thereby improving the user's sleep experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the structure of a smart wearable device in a hardware operating environment involved in an embodiment of the present invention;

[0035] Figure 2 This is a flowchart of a first embodiment of a sleep monitoring reminder method of the present invention;

[0036] Figure 3 This is a schematic diagram of module connections of a sleep monitoring and reminding device according to a first embodiment of the sleep monitoring and reminding method of the present invention;

[0037] Figure 4 A schematic diagram of the module structure position of a sleep monitoring and reminding device according to the first embodiment of the sleep monitoring and reminding method of the present invention;

[0038] Figure 5 This is a flowchart of a second embodiment of the sleep monitoring reminder method of the present invention;

[0039] Figure 6 This is a structural block diagram of the first embodiment of the sleep monitoring and reminding device of the present invention.

[0040] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0042] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of a sleep monitoring reminder device in the hardware operating environment involved in the embodiment of the present invention.

[0043] like Figure 1As shown, the smart wearable device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0044] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the smart wearable device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0045] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a sleep monitoring reminder program.

[0046] exist Figure 1 In the smart wearable device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the smart wearable device of the present invention can be set in the smart wearable device, and the smart wearable device calls the sleep monitoring reminder program stored in the memory 1005 through the processor 1001, and executes the sleep monitoring reminder method provided in the embodiment of the present invention.

[0047] The embodiment of the present invention provides a sleep monitoring reminder method, referring to Figure 2 , Figure 2 The figure is a flowchart of a first embodiment of a sleep monitoring reminder method of the present invention.

[0048] In this embodiment, the sleep monitoring reminder method includes the following steps:

[0049] Step S10: when it is detected that the user is in a sleeping state, the physiological characteristic monitoring information and the sleeping noise monitoring information of the user are obtained.

[0050] It should be understood that the executor of the method of this embodiment can be a sleep monitoring reminder device with wearable, data processing, network communication and program running functions, such as smart watches, smart bracelets and other smart wearable devices, or other devices or equipment that can achieve the same or similar functions, hereinafter collectively referred to as sleep monitoring reminder devices for explanation.

[0051] Reference Figure 3 , Figure 3 This is a module connection diagram of a sleep monitoring reminder device, which may include: a microprocessor module, a mobile communication module, a MIC module, a motion detection module, a body fat detection module, a PPG module and an ECG module, wherein the microprocessor module is connected to the mobile communication module, the MIC module, the motion detection module, the body fat detection module, the PPG module and the ECG module.

[0052] Reference Figure 4 , Figure 4 This is a schematic diagram of the module structure position of the sleep monitoring reminder device. Four MIC modules can be installed in the sleep monitoring reminder device, wherein each MIC module is installed around the sleep monitoring reminder device, and the PPG module and the ECG module are installed in the center of the sleep monitoring reminder device.

[0053] It should be noted that the sleeping state may be the state of the user wearing the sleep monitoring reminder device when sleeping, and the sleeping state may be a sleeping state, a light sleep state, a deep sleep state, or an extended deep sleep state, etc., which is not limited in this embodiment.

[0054] The physiological characteristic monitoring information may be human physiological parameters of the user when the user is in a sleeping state, and the physiological characteristic monitoring information may be physiological information such as body temperature information, heart rate information, blood oxygen information, and blood pressure information.

[0055] The sleep noise monitoring information may be noise information monitored by the sleep monitoring reminder device through a microphone (MIC) module when the user is in a sleeping state. The sleep noise monitoring information may be sleep noise such as the user's snoring noise or teeth grinding noise, or other sleep noise. The sleep noise monitoring information obtained by the sleep monitoring reminder device may be sleep noise mixed with environmental noise.

[0056] The sleep monitoring reminder device can determine whether the user is in a sleep state by monitoring the user's activity state and the duration of the activity state, or it can monitor the user's heart rate to determine whether the user is in a sleep state, which is not limited in this embodiment.

[0057] It should be understood that in order to accurately monitor the user's sleep health status, it is necessary to monitor the user's physiological characteristics monitoring information such as body temperature information, heart rate information, blood oxygen information, blood pressure information, and sleep noise information when the user is in a sleeping state.

[0058] Furthermore, in order to perform sleep monitoring on key monitored users, before the above step S10, the following steps may also be included:

[0059] Step S11: Determine whether the user is a key monitored user.

[0060] It should be understood that in order to perform focused monitoring on users with poor physical health or poor sleep status, it is necessary to analyze the user's historical health data and sleep data to determine whether focused sleep monitoring of the user is required.

[0061] It should be noted that the key monitored users may be users with poor health or poor sleep status.

[0062] Step S12: When the user is the key monitored user, executing the step of acquiring the user's physiological characteristic monitoring information and sleep noise monitoring information when it is detected that the user is in a sleeping state.

[0063] It should be understood that when analyzing the user's historical health data and sleep data, if the user's physical health or sleep state is poor, it is necessary to focus on monitoring the user's sleep health.

[0064] Furthermore, in order to accurately determine whether it is necessary to focus on monitoring the user, the above step S11 includes:

[0065] Step S111: Obtain the user's body fat parameters and historical exercise data.

[0066] It should be noted that the body fat parameter can be the proportion of the user's fat weight in the total body weight collected by the body fat detection module. The historical exercise data can be the user's daily exercise data recorded by the exercise detection module, and the historical exercise data can determine whether the user belongs to a group that often participates in sports.

[0067] Step S112: determining whether the user is a key monitored user based on the body fat parameter and the historical exercise data.

[0068] It should be understood that the sleep monitoring reminder device can determine whether the user is an obese person based on the user's body fat parameters, and can determine whether the user belongs to a group that regularly participates in sports based on the user's historical exercise data. If the user is an obese person and does not belong to a group that regularly participates in sports, the user is judged as a key monitoring user and needs to be subject to key monitoring.

[0069] In a specific implementation, for example, the sleep monitoring reminder device may obtain that the user's body fat parameters are too high and the user's historical exercise data is too little, then it is judged that the user is obese, and the user does not belong to the group that regularly participates in sports. Therefore, there is a high probability that the user's sleep health is abnormal, and the user is determined to be a key monitoring user, and the user needs to be subject to key monitoring.

[0070] Step S20: when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, a sleep reminder is given to the user according to the physiological characteristic monitoring information and the sleep noise monitoring information.

[0071] It should be noted that the sleep reminder can be a reminder to the user to adjust the sleeping environment or sleeping method when there is an abnormality in the user's sleep health. The sleep reminder can be a reminder to adjust the sleeping posture, the sleeping environment or the sleeping method, or other sleep reminders, which are not limited in this embodiment.

[0072] It should be understood that when there are abnormal problems in the physiological characteristic monitoring information, the sleep noise monitoring information, or both the physiological characteristic monitoring information and the sleep noise monitoring information, the sleep monitoring reminder device determines that there are abnormal problems with the user's sleep health at this time, and it is necessary to promptly analyze the cause of the sleep abnormality based on the physiological characteristic monitoring information and the sleep noise monitoring information, so as to provide the user with a sleep reminder based on the cause of the sleep abnormality to ensure the user's sleep health.

[0073] In a specific implementation, the sleep monitoring reminder device determines that there is an abnormal problem with the user's sleep health when it detects that there is an abnormal problem in the user's physiological characteristic monitoring information such as the user's body temperature information, heart rate information, blood oxygen information or blood pressure information; and determines that there is an abnormal problem with the user's sleep health when it detects that there is an abnormal problem in the user's sleep noise monitoring information such as the user's snoring noise or teeth grinding noise. It is necessary to promptly analyze the cause of the sleep abnormality based on the physiological characteristic monitoring information and the sleep noise monitoring information, so as to provide the user with a sleep reminder based on the cause of the sleep abnormality to ensure the user's healthy sleep.

[0074] For example, when the sleep monitoring reminder device detects that the user's body temperature is lower than 35°, the heart rate is lower than 60 times / min, the blood oxygen concentration is lower than 94%, or the blood pressure is lower than 60 mmHG, it determines that the user's sleep health has abnormal problems. When the user's snoring noise or teeth grinding noise and other sleep noise monitoring information exceeds 60dB, it determines that the user's sleep health has abnormal problems. It is necessary to timely analyze the cause of the abnormal sleep according to the user's heart rate, blood oxygen concentration, blood pressure, and sleep noise. When there are abnormal problems, the user is reminded to sleep according to the cause of the abnormal sleep. If the user's body temperature is too low, the user is reminded to cover the quilt or adjust the sleeping environment. If the user's heart rate is too low, the blood oxygen concentration is too low, or the blood pressure is too low, the user is reminded to adjust the sleeping posture or sleeping environment. If the user's snoring noise or teeth grinding noise is too loud, the user is reminded to adjust the sleeping posture to ensure the user's sleep health.

[0075] Furthermore, in order to enable the user to perform effective exercise after the sleep reminder is given to the user, after the above step S20, the following is further included:

[0076] Step S21: generating the sleep data of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information.

[0077] It should be noted that the sleep data may be sleep information that records the user's sleep process.

[0078] It should be understood that sleep data can clearly reflect abnormal information and other sleep data of the user during sleep. The user can understand his or her sleep state through sleep data, and seek medical advice or perform exercise to improve it based on the sleep data.

[0079] Step S22: Generate an exercise suggestion reminder based on the sleep data.

[0080] It should be noted that the exercise suggestion reminder may be a reminder to suggest an exercise plan to the user, and the exercise suggestion reminder may be an aerobic exercise suggestion reminder or an anaerobic exercise suggestion reminder, or may be other types of exercise suggestion reminders.

[0081] Furthermore, in order to display the exercise suggestion reminder and sleep data on the user-associated device, after the above step S22, it also includes:

[0082] Step S221: Detect whether there is any connected associated device.

[0083] It should be noted that the associated device may be a user's terminal device, such as a mobile phone, computer or tablet computer.

[0084] It should be understood that the sleep monitoring reminder device can be connected to the associated device via a wireless connection such as WIFI or Bluetooth.

[0085] Step S222: When a connection with an associated device is detected, the sleep data and the exercise suggestion reminder are sent to the associated device, so that the associated device performs a visual display based on the sleep data and the exercise suggestion reminder.

[0086] It should be understood that when a connection with an associated device is detected, in order to clearly and accurately display sleep data and exercise advice reminders to the user, it is necessary to send the sleep data and the exercise advice reminders to the associated device so that the associated device can perform a visual display based on the sleep data and the exercise advice reminders.

[0087] This embodiment obtains the physiological characteristic monitoring information and sleep noise monitoring information of the user when it is detected that the user is in a sleeping state. When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, the user is reminded to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information. Since the present invention determines whether the user's sleep is normal based on the user's physiological characteristic monitoring information and the sleep noise monitoring information, and reminds the user to sleep when the user's sleep is abnormal, it realizes accurate monitoring of the user's sleep state, and timely and effective sleep reminders when there is an abnormality in the user's sleep, thereby improving the user's sleep experience.

[0088] refer to Figure 5 , Figure 5 The figure is a flowchart of a second embodiment of a sleep monitoring reminder method of the present invention.

[0089] Based on the above first embodiment, in this embodiment, step S10 further includes:

[0090] Step S101: when it is detected that the user is in a sleeping state, initial physiological characteristic information and initial sleeping noise information of the user are obtained.

[0091] It should be noted that the initial physiological characteristic information may be an unprocessed raw physiological characteristic signal, and accurate physiological characteristic information cannot be obtained from the initial physiological characteristic information before filtering, noise reduction and signal amplification. The initial physiological characteristic information may be the raw physiological signal collected by the sleep monitoring reminder device through the built-in PPG sensor module and ECG sensor module.

[0092] The initial sleep noise information may be an unprocessed original sleep noise signal. Before filtering and noise reduction and signal amplification, the initial sleep noise information is mixed with environmental noise or other interfering noise, so accurate physiological characteristic information cannot be obtained from it. The initial sleep noise information may be the original sound signal collected by the sleep monitoring reminder device through the built-in MIC sensor module.

[0093] In a specific implementation, when the sleep monitoring reminder device detects that the user is not active within a preset time or the user's heart rate is lower than a preset sleep threshold, it determines that the user is in a sleep state, collects the user's original physiological characteristic signals through the built-in PPG sensor module and ECG sensor module, and collects the user's original sleep noise signals through the built-in MIC sensor module.

[0094] Furthermore, in order to more accurately monitor the user's sleeping state, the above step S101 also includes:

[0095] Step S1011: when it is detected that the user is in a sleeping state, blood oxygen parameters and heart rate parameters of the user are obtained.

[0096] It should be noted that the blood oxygen parameters and heart rate parameters can be collected by the PPG module and ECG module in the sleep monitoring reminder device. The PPG module can be a blood oxygen concentration sensor, and the PPG module can collect the user's blood oxygen saturation concentration. The ECG module can be a heart rate sensor, and the ECG module can collect the user's heart rate.

[0097] Step S1012: generating the initial physiological characteristic information according to the blood oxygen parameter and the heart rate parameter, and acquiring the initial sleeping noise information of the user.

[0098] It should be noted that the blood oxygen parameter may be the user's blood oxygen saturation concentration, and the heart rate parameter may be the user's heart rate or the user's arterial pulsation rate. The initial sleep noise information may be collected by the MIC module in the sleep monitoring reminder device.

[0099] The MIC module may be a microphone sensor module. The MIC module may collect the noise of the user while sleeping when the user is in a sleeping state. The sleeping noise collected by the MIC module may be the snoring noise or teeth grinding noise of the user, or the ambient noise of the user's sleeping environment.

[0100] Step S102: performing noise reduction on the initial physiological characteristic information and the initial sleeping noise information respectively to obtain target physiological characteristic information and target sleeping noise information.

[0101] It should be understood that in order to eliminate the noise signals in the user's initial physiological characteristic information and initial sleep noise information, the interference information is eliminated to obtain more accurate physiological characteristic information and sleep characteristic information, so as to effectively monitor the user's sleep health and provide timely sleep reminders when the user's sleep health is abnormal.

[0102] It should be noted that the target physiological characteristic information may be effective physiological characteristic information obtained by filtering or reducing noise of the initial physiological characteristic information. The target sleep noise information may be effective sleep noise information obtained by filtering or reducing noise of the initial sleep noise information.

[0103] In a specific implementation, the sleep monitoring reminder device filters and reduces noise on the initial physiological characteristic signals collected by the PPG sensor module and the ECG sensor module, and the initial sleep noise signal collected by the MIC sensor module, to obtain target physiological characteristic information and target sleep noise information.

[0104] Step S103: performing signal amplification on the target physiological characteristic information and the target sleeping noise information respectively to obtain the physiological characteristic monitoring information and the sleeping noise monitoring information of the user.

[0105] It should be understood that in order to more accurately analyze the target physiological characteristic information and target sleep noise information obtained after filtering and denoising, it is necessary to amplify the target physiological characteristic information and target sleep noise information to obtain more effective physiological characteristic information and sleep noise information.

[0106] It should be noted that the physiological characteristic monitoring information may be a physiological characteristic signal obtained by amplifying the target physiological characteristic information, and the sleep noise monitoring information may be a sleep noise signal obtained by amplifying the target sleep noise information.

[0107] In a specific implementation, the sleep monitoring reminder device filters and reduces the noise of the initial physiological characteristic signals collected by the PPG sensor module and the ECG sensor module, and the initial sleep noise signals collected by the MIC sensor module, and then amplifies the noise-reduced target physiological characteristic information and target sleep noise information to obtain more effective physiological characteristic monitoring information and sleep noise monitoring information.

[0108] This embodiment obtains the initial physiological characteristic information and initial sleep noise information of the user when detecting that the user is in a sleeping state, performs noise reduction on the initial physiological characteristic information and the initial sleep noise information respectively, obtains the target physiological characteristic information and the target sleep noise information, performs signal amplification on the target physiological characteristic information and the target sleep noise information respectively, and obtains the physiological characteristic monitoring information and the sleep noise monitoring information of the user. Since the present invention performs noise reduction and signal amplification on the collected initial physiological characteristic information and initial sleep noise information respectively to obtain more accurate and effective physiological characteristic monitoring information and sleep noise monitoring information, the physiological characteristics and sleep noise of the user in the sleeping state are effectively processed accurately, thereby realizing accurate monitoring of the user's sleep health, and timely providing sleep reminders when the user's sleep health is abnormal, thereby improving the user's sleep experience.

[0109] In addition, an embodiment of the present invention further proposes a storage medium, on which a sleep monitoring reminder program is stored. When the sleep monitoring reminder program is executed by a processor, the steps of the sleep monitoring reminder method described above are implemented.

[0110] Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0111] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the sleep monitoring and reminding device of the present invention.

[0112] like Figure 6 As shown, the sleep monitoring reminder device proposed in the embodiment of the present invention includes:

[0113] The information acquisition module 10 is used to acquire the physiological characteristic monitoring information and the sleep noise monitoring information of the user when it is detected that the user is in a sleeping state;

[0114] The sleep reminder module 20 is used to remind the user to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information.

[0115] Furthermore, the information acquisition module 10 is also used to determine whether the user is a key monitored user. When the user is the key monitored user, the step of acquiring the user's physiological characteristic monitoring information and sleep noise monitoring information is executed when it is detected that the user is in a sleeping state.

[0116] Furthermore, the information acquisition module 10 is also used to obtain the user's body fat parameters and historical exercise data, and determine whether the user is a key monitored user based on the body fat parameters and the historical exercise data.

[0117] Furthermore, the information acquisition module 10 is also used to obtain initial physiological characteristic information and initial sleep noise information of the user when it is detected that the user is in a sleeping state, perform noise reduction on the initial physiological characteristic information and the initial sleep noise information respectively, obtain target physiological characteristic information and target sleep noise information, perform signal amplification on the target physiological characteristic information and the target sleep noise information respectively, and obtain the physiological characteristic monitoring information and the sleep noise monitoring information of the user.

[0118] Furthermore, the information acquisition module 10 is also used to obtain the blood oxygen parameters and heart rate parameters of the user when it is detected that the user is in a sleeping state, generate the initial physiological characteristic information according to the blood oxygen parameters and the heart rate parameters, and obtain the initial sleeping noise information of the user through the MIC module.

[0119] Furthermore, the sleep reminder module 20 is also used to generate the sleep data of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information, and generate an exercise suggestion reminder according to the sleep data.

[0120] Furthermore, the sleep reminder module 20 is also used to detect whether there is a connected associated device. When a connection with an associated device is detected, the sleep data and the exercise suggestion reminder are sent to the associated device, so that the associated device can perform a visual display based on the sleep data and the exercise suggestion reminder.

[0121] This embodiment obtains the physiological characteristic monitoring information and sleep noise monitoring information of the user when it is detected that the user is in a sleeping state. When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, the user is reminded to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information. Since the present invention determines whether the user's sleep is normal based on the user's physiological characteristic monitoring information and the sleep noise monitoring information, and reminds the user to sleep when the user's sleep is abnormal, it realizes accurate monitoring of the user's sleep state, and timely and effective sleep reminders when there is an abnormality in the user's sleep, thereby improving the user's sleep experience.

[0122] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0123] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0124] In addition, for technical details not fully described in this embodiment, reference can be made to the sleep monitoring reminder method provided in any embodiment of the present invention, and will not be repeated here.

[0125] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0126] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0127] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0128] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A sleep monitoring reminder method, characterized in that: The sleep monitoring reminder method comprises: When detecting that the user is in a sleeping state, obtaining physiological characteristic monitoring information and sleep noise monitoring information of the user; When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, analyzing the cause of the abnormal sleep of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information, and giving the user a sleep reminder based on the cause of the abnormal sleep, wherein the sleep reminder is set to remind the user to cover a quilt or adjust the sleeping environment if the user's body temperature is too low, to remind the user to adjust the sleeping posture or sleeping environment if the user's heart rate is too low, the blood oxygen concentration is too low, or the blood pressure is too low, and to remind the user to adjust the sleeping posture if the user's snoring noise or teeth grinding noise is too loud; When the user is detected to be in a sleeping state, before acquiring the physiological characteristic monitoring information and the sleep noise monitoring information of the user, the method further includes: Obtain the user's body fat parameters and historical exercise data; Determining whether the user is a key monitored user according to the body fat parameter and the historical exercise data; When the user is the key monitored user, executing the step of acquiring the physiological characteristic monitoring information and the sleep noise monitoring information of the user when detecting that the user is in a sleeping state; When detecting that the user is in a sleeping state, obtaining the user's physiological characteristic monitoring information and sleeping noise monitoring information includes: When detecting that the user is in a sleeping state, obtaining initial physiological characteristic information and initial sleeping noise information of the user, wherein the initial sleeping noise information is sleeping noise mixed with environmental noise; Reducing noise on the initial physiological characteristic information and the initial sleep noise information respectively to obtain target physiological characteristic information and target sleep noise information; The target physiological characteristic information and the target sleeping noise information are respectively amplified to obtain the physiological characteristic monitoring information and the sleeping noise monitoring information of the user.

2. The sleep monitoring reminder method according to claim 1, characterized in that: The acquiring of initial physiological characteristic information and initial sleeping noise information of the user when detecting that the user is in a sleeping state includes: When detecting that the user is in a sleeping state, obtaining blood oxygen parameters and heart rate parameters of the user; The initial physiological characteristic information is generated according to the blood oxygen parameter and the heart rate parameter, and initial sleeping noise information of the user is obtained.

3. The sleep monitoring reminder method according to any one of claims 1 or 2, characterized in that: When there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, after reminding the user to sleep according to the physiological characteristic monitoring information and the sleep noise monitoring information, the method further includes: generating sleep data of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information; Generate an exercise suggestion reminder based on the sleep data.

4. The sleep monitoring reminder method according to claim 3, characterized in that: After generating an exercise suggestion reminder according to the sleep data, the method further includes: Detect whether there is a connected associated device; When a connection with an associated device is detected, the sleep data and the exercise suggestion reminder are sent to the associated device, so that the associated device performs a visual display based on the sleep data and the exercise suggestion reminder.

5. A sleep monitoring reminder device, characterized in that: The sleep monitoring and reminding device comprises: An information acquisition module, used to acquire physiological characteristic monitoring information and sleep noise monitoring information of the user when detecting that the user is in a sleeping state; A sleep reminder module, for analyzing the cause of the abnormal sleep of the user according to the physiological characteristic monitoring information and the sleep noise monitoring information when there is an abnormality in the physiological characteristic monitoring information and / or the sleep noise monitoring information, and providing a sleep reminder to the user based on the cause of the abnormal sleep, wherein the sleep reminder is set to remind the user to cover a quilt or adjust the sleeping environment if the user's body temperature is too low, to remind the user to adjust the sleeping posture or sleeping environment if the user's heart rate is too low, the blood oxygen concentration is too low, or the blood pressure is too low, and to remind the user to adjust the sleeping posture if the user's snoring noise or teeth grinding noise is too loud; The information acquisition module is further used to acquire the body fat parameters and historical exercise data of the user; determine whether the user is a key monitored user according to the body fat parameters and the historical exercise data; and when the user is the key monitored user, execute the step of acquiring the physiological characteristic monitoring information and the sleep noise monitoring information of the user when it is detected that the user is in a sleeping state; The information acquisition module is further used to acquire initial physiological characteristic information and initial sleep noise information of the user when it is detected that the user is in a sleeping state, wherein the initial sleep noise information is sleep noise mixed with environmental noise; perform noise reduction on the initial physiological characteristic information and the initial sleep noise information respectively to obtain target physiological characteristic information and target sleep noise information; and perform signal amplification on the target physiological characteristic information and the target sleep noise information respectively to obtain the physiological characteristic monitoring information and the sleep noise monitoring information of the user.

6. A smart wearable device, characterized in that: The smart wearable device includes: a memory, a communication module, a detection module, a processor, and a sleep monitoring reminder program stored in the memory and executable on the processor, wherein the sleep monitoring reminder program is configured to implement the sleep monitoring reminder method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium stores a sleep monitoring reminder program, and when the sleep monitoring reminder program is executed by the processor, the sleep monitoring reminder method according to any one of claims 1 to 4 is implemented.

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