Infant sleep monitoring method, device and equipment and storage medium

Abstract

The invention discloses an infant sleep monitoring method, device and equipment and a storage medium, the method is applied to intelligent wearable equipment, and the method comprises the steps that sleep state information, collected by an acceleration sensor and a heart rate sensor on the intelligent wearable equipment, of a target infant in at least two monitoring time periods is acquired; the sleep state information at least comprises spatial position information and heart rate information; determining body posture information of the target infant according to the spatial position information; body movement frequency information of the target infant is determined according to changes of the spatial position information in the monitoring time period; data processing is conducted on the heart rate signal and the body movement frequency information corresponding to the current posture of the target infant indicated by the body posture information, and the sleep state of the target infant is determined. According to the method, the intelligent wearable device is used for collecting sleep information, judgment is more accurate according to body movement changes before and after use in combination with heart rate changes and sleep postures, and meanwhile sleep judgment is more intelligent.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of smart wearable technology, and in particular to a method, device, equipment and storage medium for monitoring infant sleep. Background Art

[0002] Infant sleep monitoring is of great significance in infant care and can improve the efficiency of infant care.

[0003] Infant sleep monitoring is done in real time through smart wearable devices such as smart bracelets or smart watches. The current sleep detection methods in smart devices only detect based on the number of body movements detected by the acceleration sensor, which has the problems of false alarms and large errors. At the same time, the existing sleep detection methods use complex machine learning classification algorithms, which have large computational complexity and occupy memory, and cannot be run directly on a single-chip microcomputer. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, equipment and storage medium for monitoring infant sleep, which uses smart wearable devices to collect sleep information, and makes the judgment more accurate and intelligent based on the changes in body movement before and after use, combined with changes in heart rate and sleeping posture.

[0005] In a first aspect, an embodiment of the present invention provides a method for monitoring infant sleep, the method being applied to a smart wearable device, comprising:

[0006] Acquire the sleep state information of the target infant during at least two monitoring periods collected by the acceleration sensor and the heart rate sensor on the smart wearable device; the sleep state information includes at least spatial position information and heart rate information;

[0007] Determining body posture information of the target infant according to the spatial position information;

[0008] Determining the number of body movement information of the target infant according to the change of the spatial position information within the monitoring period;

[0009] Corresponding to the current posture of the target infant indicated by the body posture information, data processing is performed on the heart rate signal and the body movement frequency information to determine the sleeping state of the target infant.

[0010] In a second aspect, an embodiment of the present invention further provides an infant sleep monitoring device, the device comprising:

[0011] An information acquisition module, used to acquire the sleep state information of the target infant during at least two monitoring periods collected by the acceleration sensor and the heart rate sensor on the smart wearable device; the sleep state information includes at least spatial position information and heart rate information;

[0012] a posture information determination module, configured to determine the body posture information of the target infant according to the spatial position information;

[0013] A body movement frequency information determination module, used to determine the body movement frequency information of the target infant according to the change of the spatial position information within the monitoring period;

[0014] The sleep state determination module is used to process the heart rate signal and the body movement frequency information according to the current posture of the target infant indicated by the body posture information, so as to determine the sleep state of the target infant.

[0015] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0016] one or more processors;

[0017] a storage device for storing one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the infant sleep monitoring method provided by the embodiment of the present disclosure.

[0019] In a fourth aspect, the embodiments of the present disclosure further provide a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to implement the infant sleep monitoring method provided by the embodiments of the present disclosure.

[0020] In a fifth aspect, an embodiment of the present disclosure provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the infant sleep monitoring method provided in the embodiment of the first aspect.

[0021] The present invention discloses a method, device, equipment and storage medium for monitoring infant sleep. The method is applied to a smart wearable device, including: obtaining the sleep state information of the target infant collected by the acceleration sensor and the heart rate sensor on the smart wearable device during at least two monitoring periods; the sleep state information includes at least spatial position information and heart rate information; determining the body posture information of the target infant according to the spatial position information; determining the number of body movement information of the target infant according to the change of the spatial position information during the monitoring period; corresponding to the current posture of the target infant indicated by the body posture information, processing the heart rate signal and the number of body movement information to determine the sleep state of the target infant. Using this method: using the smart wearable device to collect sleep information, according to the change of body movement before and after use, combined with the change of heart rate and sleeping posture, the judgment is more accurate, and the sleep judgment is more intelligent. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0023] Figure 1 A flowchart of a method for monitoring infant sleep provided by an embodiment of the present disclosure;

[0024] Figure 2 An example diagram of an infant sleep monitoring method provided by an embodiment of the present disclosure;

[0025] Figure 3 A schematic diagram of the structure of an infant sleep monitoring device provided by an embodiment of the present disclosure;

[0026] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0028] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0029] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0030] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0031] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0032] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0033] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0034] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0035] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0036] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0037] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0038] Figure 1 A flowchart of infant sleep monitoring provided in an embodiment of the present disclosure is applicable to providing a solution to the problem of accurately judging the sleeping state of infants. The method can be executed by an infant sleep monitoring device, which can be implemented in the form of software and / or hardware. Optionally, it can be implemented by an electronic device, which can be a mobile terminal, a PC or a server, etc.

[0039] like Figure 1 As shown, an infant sleep monitoring method provided by an embodiment of the present disclosure is applied to a smart wearable device and may specifically include the following steps:

[0040] S110, obtaining sleep status information of the target infant during at least two monitoring periods collected by an acceleration sensor and a heart rate sensor on the smart wearable device;

[0041] The sleep state information includes at least spatial position information and heart rate information.

[0042] In this embodiment, the smart wearable device may be a smart bracelet, a smart watch, smart socks or clothes. The monitoring period may be the interval time of the sleep state information determined. For example, the duration of the monitoring period may be 5 minutes. The sleep state information may be the spatial position and heart rate of the infant during sleep.

[0043] Specifically, the sleep state information of the target infant collected by the acceleration sensor and the heart rate sensor on the smart wearable device during at least two monitoring periods is obtained. The sleep state information includes at least spatial position information and heart rate information. The spatial position is the position information of the X axis, the position information of the Y axis, and the position information of the Z axis.

[0044] On the basis of the above, it is also reported: first determine whether the device is worn: when the device detects the heart rate, it is worn, otherwise it is not worn.

[0045] S120: Determine body posture information of the target infant based on the spatial position information.

[0046] In this embodiment, the spatial position information includes X-axis position information, Y-axis position information and Z-axis position information. The body posture information may be the posture of the infant.

[0047] Specifically, the position information data of the X, Y, and Z axes are used to calculate the body posture of the infant.

[0048] Based on the above embodiment, determining the body posture information and the number of body movements of the target infant according to the body movement information may include the following steps:

[0049] a1) Calculate the pitch angle of the target infant based on the spatial position information.

[0050] Specifically, the spatial position information is introduced into the pitch angle calculation formula to obtain the pitch angle of the target infant.

[0051] In this embodiment, the pitch angle calculation formula is as follows:

[0052]

[0053] In the formula, a x 、a y 、a z They are X-axis position information, Y-axis position information and Z-axis position information respectively.

[0054] b1) If the pitch angle is within the set angle range, the body posture information is a lying state.

[0055] c1) If the pitch angle is not within the set angle range, the body posture information is a sitting state.

[0056] In this embodiment, the set angle interval may be a pre-set angle interval range, which is set according to actual conditions and is not specifically set in this embodiment. Exemplarily, the set angle interval may be -45 to 45 degrees.

[0057] Specifically, the spatial position information is substituted into the pitch angle calculation formula to obtain the pitch angle of the target infant. If the pitch angle is within the set interval, the body posture information is a lying state, and if the pitch angle is not within the set interval, the body posture information is a sitting state.

[0058] S130. Determine the target infant's body movement frequency information according to the change of the spatial position information during the monitoring period.

[0059] In this embodiment, the body movement frequency information may be the number of body movements.

[0060] Specifically, based on the difference between the spatial position information collected at every two adjacent collection time points during the monitoring period; when the difference is greater than a preset position threshold, the target infant moves once, and the total number of movements of the target infant during the monitoring period is counted as the number of movement information.

[0061] Based on the above embodiment, determining the number of body movements according to the change of body movement information may include the following steps:

[0062] a2) Obtain the difference between the spatial position information collected at every two adjacent collection time points during the monitoring period.

[0063] b2) When the difference is greater than a preset position threshold, the body movement state information of the target infant at adjacent collection time points is obtained.

[0064] c2) Based on the body movement status information during the monitoring period, determine the number of body movement information during the monitoring period.

[0065] In this embodiment, the collection time point may be a time point at which the sensor collects data, and the time interval between adjacent collections may be 1 second.

[0066] The difference formula between spatial position information is as follows:

[0067] dx=|ax-a x_1 |

[0068] dy=|a y -a y_1 |

[0069] dz=|az-a z_1 |

[0070] Where dx, dy, and dz are the changes in the X-axis position information, the Y-axis position information, and the Z-axis position information, respectively. x_1 、a y_1 、a z_1 They are respectively the position information of the X, Y, and Z axes in the previous second.

[0071] The set threshold value may be a preset threshold value, which is set according to actual conditions and is not specifically set in this embodiment. For example, the set threshold value may be 8. The body movement state information may be whether the baby is moving at the current moment.

[0072] Specifically, the change values ​​of the X-axis position information, the Y-axis position information, and the Z-axis position information in the body movement information in each monitoring period are all greater than the set threshold value as one body movement. According to the body movement state information in the monitoring period, the number of times the body movement state information in the monitoring period is body movement is determined as the body movement number information of each monitoring period.

[0073] S140 , corresponding to the current posture of the target infant indicated by the body posture information, processing the heart rate signal and the number of body movements to determine the sleeping state of the target infant.

[0074] In this embodiment, the sleep state may include three states: deep sleep, light sleep and awake. Figure 2 This is an example diagram of an infant sleep monitoring method provided by an embodiment of the present disclosure. Figure 2 As shown, the heart rate change difference of the heart rate signal in adjacent monitoring periods is determined. When the body posture information is a lying state, the sleep state of the target infant is determined based on the body movement number information of the current monitoring period and the heart rate change difference. When the body posture information is a sitting state, the sleep state of the target infant is determined based on the body movement number information of the current monitoring period and the two historical monitoring periods before the current monitoring period.

[0075] Based on the above embodiment, corresponding to the current posture of the target infant indicated by the body posture information, data processing of the heart rate signal and the number of body movements to determine the sleep state of the target infant may include the following steps:

[0076] a2) Determine the heart rate change difference of the heart rate signal in adjacent monitoring periods.

[0077] Specifically, the difference in heart rate change between the heart rate signal in the current monitoring period and the previous monitoring period is determined.

[0078] b2) When the body posture information is a lying state, the sleeping state of the target infant is determined according to the body movement frequency information and the heart rate change difference during the current monitoring period.

[0079] c2) When the body posture information is a sitting state, the sleeping state of the target infant is determined according to the body movement frequency information of the current monitoring period and the two historical monitoring periods before the current monitoring period.

[0080] On the basis of the above embodiment, when the body posture information is a lying state, the sleep state of the target infant is determined according to the body movement frequency information and the heart rate change difference in the current monitoring period, specifically by the following steps:

[0081] b21) When the body movement frequency information of the current monitoring period is greater than the first frequency threshold and the heart rate change difference is greater than the first heart rate threshold, the sleep state of the target infant is awake.

[0082] b22) When the body movement frequency information of the current monitoring period is greater than the first frequency threshold and the heart rate change difference is less than or equal to the first heart rate threshold, the sleep state of the target infant is light sleep.

[0083] b23) When the body movement frequency information of the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is greater than the second heart rate threshold, the sleep state of the target infant is light sleep.

[0084] b24) When the body movement frequency information of the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is less than or equal to the second heart rate threshold, the sleep state of the target infant is deep sleep.

[0085] In this embodiment, the first heart rate threshold, the second heart rate threshold and the first number threshold can be preset thresholds, which are set according to actual conditions and are not specifically set in this embodiment. For example, the first number threshold can be 75, the first heart rate threshold can be 3, and the second heart rate threshold can be 2.

[0086] For example, Figure 2 As shown, when the number of body movements in the current monitoring period is greater than 75 and the difference in heart rate change is greater than 3, the sleep state of the target infant is awake. When the number of body movements in the current monitoring period is greater than 75 and the difference in heart rate change is less than or equal to 3, the sleep state of the target infant is light sleep. When the number of body movements in the current monitoring period is less than or equal to 75 and the difference in heart rate change is greater than 2, the sleep state of the target infant is light sleep. When the number of body movements in the current monitoring period is less than or equal to 75 and the difference in heart rate change is less than or equal to 2, the sleep state of the target infant is deep sleep.

[0087] On the basis of the above embodiment, when the body posture information is a sitting state, the sleep state of the target infant is determined according to the number of body movements in the current monitoring period and the previous two monitoring periods, specifically by the following steps:

[0088] c21) According to the set weight, the body movement frequency information corresponding to the current monitoring period and the body movement frequency information corresponding to the two historical monitoring periods are weightedly summed to obtain the target frequency and value.

[0089] c22) If the target number and value is greater than the second number threshold, the target infant's sleep state is awake.

[0090] c23) If the target number and value is less than or equal to the second number threshold, the target infant's sleep state is light sleep.

[0091] In this embodiment, the set weight may be pre-set, set according to actual conditions, and is not specifically set in this embodiment. The second number threshold may be a pre-set threshold, set according to actual conditions, and is not specifically set in this embodiment. Exemplarily, the second number threshold may be 60.

[0092] For example, the target number and value = 0.2*movecnt_3+0.3*movecnt_2+0.5*movecnt_1

[0093] Wherein, movecnt_1 may be the number of body movements in the current monitoring period, movecnt_2 may be the number of body movements in the previous monitoring period, and movecnt_3 may be the number of body movements in the previous monitoring period.

[0094] For example, Figure 2 As shown, according to the set weight, the body movement information corresponding to the current monitoring period and the body movement information corresponding to the two historical monitoring periods are weighted and summed to obtain the target number and value. If the sum is greater than 60, the target infant's sleep state is awake. If the sum is less than or equal to 60, the target infant's sleep state is light sleep.

[0095] Based on the above embodiment, the method further includes: transmitting the sleep state of the target infant in each monitoring period to the application end, so that the application end counts the sleep state period and displays it on the display screen of the application end.

[0096] In this embodiment, the wearable smart device sends the judgment result of the sleep status to the cloud. After the mobile phone app obtains the data from the cloud, it issues deep sleep, light sleep, and waking reminders, and counts the time of deep sleep, light sleep, and waking, and displays it on the display screen of the application end.

[0097] The present invention discloses a method for monitoring infant sleep. The method is applied to a smart wearable device, including: obtaining the sleep state information of the target infant collected by the acceleration sensor and the heart rate sensor on the smart wearable device during at least two monitoring periods; the sleep state information includes at least spatial position information and heart rate information; determining the body posture information of the target infant according to the spatial position information; determining the number of body movement information of the target infant according to the change of the spatial position information within the monitoring period; corresponding to the current posture of the target infant indicated by the body posture information, processing the heart rate signal and the number of body movement information to determine the sleep state of the target infant. Using this method: using the smart wearable device to collect sleep information, according to the change of body movement before and after use, combined with the change of heart rate and sleeping posture, the judgment is more accurate, and the sleep judgment is more intelligent.

[0098] Figure 3 The present invention also provides a schematic diagram of the structure of an infant sleep monitoring device. Figure 3 As shown, the device includes: an information acquisition module 210, a posture information determination module 220, a body movement number information determination module 230 and a sleep state determination module 240.

[0099] The information acquisition module 210 is used to acquire the sleep state information of the target infant during at least two monitoring periods collected by the acceleration sensor and the heart rate sensor on the smart wearable device; the sleep state information includes at least spatial position information and heart rate information;

[0100] A posture information determination module 220, configured to determine the body posture information of the target infant according to the spatial position information;

[0101] A body movement frequency information determination module 230, configured to determine the body movement frequency information of the target infant according to changes in the spatial position information within the monitoring period;

[0102] The sleep state determination module 240 is used to perform data processing on the heart rate signal and the body movement frequency information corresponding to the current posture of the target infant indicated by the body posture information, so as to determine the sleep state of the target infant.

[0103] The technical solution provided by the embodiment of the present disclosure utilizes smart wearable devices to collect sleep information, and makes the judgment more accurate and intelligent based on the changes in body movement before and after use, combined with the changes in heart rate and sleeping posture.

[0104] Furthermore, the body posture information determination module 220 may be used to:

[0105] Calculating the pitch angle of the target infant according to the spatial position information;

[0106] If the pitch angle is within the set angle range, the body posture information is a lying state;

[0107] If the pitch angle is not within the set angle range, the body posture information is a sitting state. Further, the body movement frequency information determination module 230 can be used to:

[0108] Obtaining the difference between the spatial position information collected at every two adjacent collection time points during the monitoring period;

[0109] When the difference is greater than a preset position threshold, obtaining the body movement state information of the target infant at the adjacent collection time points;

[0110] Based on the body movement status information during the monitoring period, the body movement frequency information during the monitoring period is determined.

[0111] Furthermore, the sleep state determination module 240 may be used to:

[0112] Determine the heart rate change difference of the heart rate signal in adjacent monitoring periods;

[0113] When the body posture information is a lying state, determining the sleeping state of the target infant according to the body movement frequency information and the heart rate change difference in the current monitoring period;

[0114] When the body posture information is a sitting state, the sleeping state of the target infant is determined according to the body movement frequency information of the current monitoring period and two historical monitoring periods before the current monitoring period.

[0115] Furthermore, the sleep state determination module 240 may be used to:

[0116] When the body movement frequency information of the current monitoring period is greater than the first frequency threshold and the heart rate change difference is greater than the first heart rate threshold, the sleep state of the target infant is awake;

[0117] When the body movement frequency information of the current monitoring period is greater than the first frequency threshold and the heart rate change difference is less than or equal to the first heart rate threshold, the sleep state of the target infant is light sleep;

[0118] When the body movement frequency information in the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is greater than the second heart rate threshold, the sleep state of the target infant is light sleep;

[0119] When the body movement frequency information in the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is less than or equal to the second heart rate threshold, the sleep state of the target infant is deep sleep.

[0120] Furthermore, the sleep state determination module 240 may be used to:

[0121] According to the set weight, weighted summation is performed on the body movement frequency information corresponding to the current monitoring period and the body movement frequency information corresponding to the two historical monitoring periods to obtain a target frequency and value;

[0122] If the target number and value is greater than the second number threshold, the target infant's sleep state is awake;

[0123] If the target number and value is less than or equal to the second number threshold, the sleep state of the target infant is light sleep.

[0124] The device may also include:

[0125] The data to be processed are sorted from small to large or from large to small according to the index values.

[0126] The device also includes:

[0127] The sleep state of the target infant in each monitoring period is transmitted to the application end, so that the application end counts the time period of the sleep state and displays it on the display screen of the application end.

[0128] The above device can execute the methods provided by all the above embodiments of the present invention, and has the corresponding functional modules and beneficial effects of executing the above methods. For technical details not described in detail in this embodiment, please refer to the methods provided by all the above embodiments of the present invention.

[0129] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is given. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0130] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0131] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0132] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as an infant sleep monitoring method.

[0133] In some embodiments, the infant sleep monitoring method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the infant sleep monitoring method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the infant sleep monitoring method in any other appropriate manner (e.g., by means of firmware).

[0134] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0135] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0136] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, 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 foregoing.

[0137] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0138] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0139] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0140] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0141] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring infant sleep, characterized in that: The method is applied to a smart wearable device, comprising: Acquire the sleep state information of the target infant during at least two monitoring periods collected by the acceleration sensor and the heart rate sensor on the smart wearable device; the sleep state information includes at least spatial position information and heart rate information; Determining body posture information of the target infant according to the spatial position information; Determining the number of body movement information of the target infant according to the change of the spatial position information within the monitoring period; Corresponding to the current posture of the target infant indicated by the body posture information, data processing is performed on the heart rate signal and the body movement frequency information to determine the sleeping state of the target infant.

2. The method according to claim 1, characterized in that The step of determining the body posture information of the target infant according to the spatial position information includes: Calculating the pitch angle of the target infant according to the spatial position information; If the pitch angle is within the set angle range, the body posture information is a lying state; If the pitch angle is not within the set angle range, the body posture information is a sitting state.

3. The method according to claim 1, characterized in that The determining the number of body movement information of the target infant according to the change of the spatial position information within the monitoring period includes: Obtaining the difference between the spatial position information collected at every two adjacent collection time points during the monitoring period; When the difference is greater than a preset position threshold, obtaining the body movement state information of the target infant at the adjacent collection time points; Based on the body movement status information during the monitoring period, the body movement frequency information during the monitoring period is determined.

4. The method according to claim 2, characterized in that: The step of performing data processing on the heart rate signal and the body movement frequency information corresponding to the current posture of the target infant indicated by the body posture information to determine the sleep state of the target infant includes: Determine the heart rate change difference of the heart rate signal in adjacent monitoring periods; When the body posture information is a lying state, determining the sleeping state of the target infant according to the body movement frequency information and the heart rate change difference in the current monitoring period; When the body posture information is a sitting state, the sleeping state of the target infant is determined according to the body movement frequency information of the current monitoring period and two historical monitoring periods before the current monitoring period.

5. The method according to claim 4, characterized in that When the body posture information is a lying state, determining the sleeping state of the target infant according to the body movement number information and the heart rate change difference in the current monitoring period includes: When the body movement frequency information in the current monitoring period is greater than the first frequency threshold and the heart rate change difference is greater than the first heart rate threshold, the sleep state of the target infant is awake; When the body movement frequency information of the current monitoring period is greater than the first frequency threshold and the heart rate change difference is less than or equal to the first heart rate threshold, the sleep state of the target infant is light sleep; When the body movement frequency information in the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is greater than the second heart rate threshold, the sleep state of the target infant is light sleep; When the body movement frequency information in the current monitoring period is less than or equal to the first frequency threshold and the heart rate change difference is less than or equal to the second heart rate threshold, the sleep state of the target infant is deep sleep.

6. The method according to claim 4, characterized in that When the body posture information is a sitting state, determining the sleep state of the target infant according to the body movement frequency information of the current monitoring period and two historical monitoring periods before the current monitoring period includes: According to the set weight, weighted summation is performed on the body movement frequency information corresponding to the current monitoring period and the body movement frequency information corresponding to the two historical monitoring periods to obtain a target frequency and value; If the target number and value is greater than the second number threshold, the target infant's sleep state is awake; If the target number and value is less than or equal to the second number threshold, the sleep state of the target infant is light sleep.

7. The method according to claim 1, characterized in that Also includes: The sleep state of the target infant in each monitoring period is transmitted to the application end, so that the application end counts the time period of the sleep state and displays it on the display screen of the application end.

8. An infant sleep monitoring device, characterized in that: include: An information acquisition module, used to acquire the sleep state information of the target infant during at least two monitoring periods collected by the acceleration sensor and the heart rate sensor on the smart wearable device; The sleep state information includes at least spatial position information and heart rate information; a posture information determination module, configured to determine the body posture information of the target infant according to the spatial position information; A body movement frequency information determination module, used to determine the body movement frequency information of the target infant according to the change of the spatial position information within the monitoring period; The sleep state determination module is used to process the heart rate signal and the body movement frequency information according to the current posture of the target infant indicated by the body posture information, so as to determine the sleep state of the target infant.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the infant sleep monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the infant sleep monitoring method according to any one of claims 1 to 7 when executed.

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