WO2020015037A1 - 一种睡眠状态识别方法、装置及设备 - Google Patents

一种睡眠状态识别方法、装置及设备 Download PDF

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Publication number
WO2020015037A1
WO2020015037A1 PCT/CN2018/100441 CN2018100441W WO2020015037A1 WO 2020015037 A1 WO2020015037 A1 WO 2020015037A1 CN 2018100441 W CN2018100441 W CN 2018100441W WO 2020015037 A1 WO2020015037 A1 WO 2020015037A1
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WIPO (PCT)
Prior art keywords
movement
head
user
frequency
sleep state
Prior art date
Application number
PCT/CN2018/100441
Other languages
English (en)
French (fr)
Inventor
曾胜
曾骄阳
曾灵芝
陈俊达
陈道蓉
严天华
Original Assignee
渝新智能科技（上海）有限公司
曾胜
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Application filed by 渝新智能科技（上海）有限公司, 曾胜 filed Critical 渝新智能科技（上海）有限公司
Publication of WO2020015037A1 publication Critical patent/WO2020015037A1/zh

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
    • A61B5/1114—Tracking parts of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles

Definitions

  • the present application belongs to the field of healthy sleep, and particularly relates to a method, a device, and a device for identifying a sleep state.
  • the way to obtain the user's dynamic and static status by setting an electronic device on the bed is convenient, but the accuracy of the data obtained is not high, such as the user's slight activity status cannot be effectively detected, or when there is too much When there are individual users, the data of specific users cannot be detected, so the accuracy of the sleep state of the identified users is not high.
  • the embodiments of the present application provide a method, a device, and a device for identifying a sleep state to solve the need to wear a sensing device during monitoring in the prior art, which affects the sleep comfort of the monitored person, and is prone to data interruption. , Making the problem of low alarm accuracy.
  • a first aspect of the embodiments of the present application provides a sleep state recognition method, where the sleep state recognition method includes:
  • the step of determining the frequency of the user's head movement in a predetermined period before the current time according to the change data of the pressure state includes:
  • the interval between the time point of the second movement and the time point of the first movement before the previous movement is shorter than the predetermined time length, then Count the first movement and the second movement as one head movement;
  • the second movement of the user occurs and the direction of the second movement is opposite to the direction of the first movement adjacent to the previous one, the second movement is counted as a new head movement
  • the head movement frequency is determined according to the counted number of head movements.
  • the step of determining whether the user's head has moved and the direction of the movement according to the change data of the pressure state includes:
  • the moving direction of the user is determined according to the changing direction of the serial number.
  • the step of determining a current sleep state of the user according to the head movement frequency includes:
  • Determining the current sleep state of the user according to the head movement frequency, the total head movement frequency, and the number of times of the change position in the same area.
  • the step of determining the current sleep state of the user according to the frequency of the head movement and the number of times of the position change includes :
  • the head movement frequency in the same area is greater than 6 times / 30 minutes, and the total head movement frequency in different areas is greater than 6 times / 30 minutes, and the frequency of the user's head changing position on the pillow is greater than 2 times / 30 At the minute, the user is drowsy;
  • the user is in a light sleep state
  • the user is in a light sleep state
  • a second aspect of the embodiments of the present application provides a sleep state recognition device, where the sleep state recognition device includes:
  • a change data detection unit configured to detect the change data of the pressure state at the current time through a plurality of pressure detectors with a serial number set vertically at the pillow position;
  • a head movement frequency determining unit configured to determine a user's head movement frequency in a predetermined period before the current time according to the change data of the pressure state
  • the sleep state determining unit is configured to determine a current sleep state of the user according to the head movement frequency.
  • the head movement frequency determining unit includes:
  • a movement determining subunit configured to determine whether the user's head moves and the direction of the movement according to the change data of the pressure state
  • a first head movement statistics sub-unit configured to: when the user makes a second movement, and the direction of the second movement is the same as the direction of the first movement adjacent to the first movement, the time point of the second movement is the same as the first movement of the adjacent movement If the interval between the time points of the movement is less than the predetermined time, the first movement and the second movement are counted as one head movement;
  • a second head movement counting unit configured to count the second movement as a new head movement when the second movement of the user occurs and the direction of the second movement is opposite to the direction of the first movement adjacent to the previous movement;
  • the frequency calculation subunit is configured to determine the head movement frequency according to the counted number of head movements.
  • the head movement frequency determining unit includes:
  • the time period selection subunit is used to determine the time point as the starting point according to the time point to be counted, and select a predetermined time period forward to count the number of head movements within the predetermined time period;
  • the statistics subunit is configured to determine a head movement frequency according to the number of head movements within the predetermined period of time.
  • a third aspect of the embodiments of the present application provides a sleep state recognition device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor When the computer program is executed, the steps of the sleep state recognition method according to any one of the first aspects are implemented.
  • a fourth aspect of the embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the sleep as described in any one of the first aspects is realized. Steps of a state recognition method.
  • the embodiment of the present application has the beneficial effect that, by using a plurality of pressure detectors with serial numbers set in the pillow position in the longitudinal direction, the pressure position of the user's head on the pillow can be effectively detected.
  • the change data of the pressure state at the current time is obtained.
  • the frequency of the user's head movement within a period of time can be determined, and the current sleep state of the user can be determined according to the frequency of the head movement. Since the present application conveniently and accurately detects the head movement state of a user in a sleep state through a plurality of pressure detectors provided at the pillow position, and can accurately determine the user according to the corresponding relationship between the head movement frequency and the sleep state. Current sleep state.
  • FIG. 1 is a schematic flowchart of a sleep state recognition method provided by an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of a device for detecting a sleep state according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of an implementation process for determining a user's head movement frequency in a predetermined period before a current time according to the pressure change data according to an embodiment of the present application;
  • FIG. 4 is a schematic diagram of a sleep state recognition device provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a sleep state recognition device according to an embodiment of the present application.
  • FIG. 1 is a schematic flowchart of a sleep state recognition method provided by an embodiment of the present application, and the details are as follows:
  • step S101 through a plurality of pressure detectors with serial numbers set at the pillow position in a vertical direction, change data of a pressure state at the current time is detected;
  • the pressure detector may be disposed below the pillow or disposed on the pillow.
  • the pressure detector may include a deformation device and a sensing device.
  • the deformation device may be longitudinally disposed (that is, along the width direction of the pillow and consistent with the length direction of the body of the user performing sleep) at the position of the pillow, and the sensing device may be disposed at the side of the pillow.
  • the pressure of the head acts on different deformation devices, so that the sensing device corresponding to the compressed deformation device detects the pressure state information.
  • FIG. 2 is a schematic diagram of an implementation structure of a pressure detector provided in an embodiment of the present application.
  • the pressure detector includes a deformation device 21 and an induction device 22.
  • the deformation device 21 may be an elastic cavity. (The elastic cavity can be an airbag or a liquid bag.)
  • the deformation device 21 is connected to a pressure detector 22. When the deformation device undergoes deformation, for example, when it is squeezed, the pressure detector can detect whether deformation occurs.
  • the deformation device 21 includes an elastic cavity 211, and a soft layer 212 may be provided on the surface of the elastic cavity to protect the elastic cavity.
  • An outlet is provided on one side of the elastic cavity, and the gas or liquid in the compressed elastic cavity 211 is squeezed to the right, forcing the deformation displacer 221 in the sensing device 22 to be displaced, and the deformation displacement
  • the device may be a slider, an elastic film, or the like.
  • the contact piece 222 provided in the moving direction of the deformation displacement device 221 is squeezed, so that the conductive state between the two contact pieces is changed.
  • the controller detects that the deformation device 21 is Squeezed state.
  • a limiter 223 is further provided in the moving direction of the deformation displacementr 221, so that the maximum moving distance of the deformation displacementr 221 can be effectively controlled.
  • the processor detects the two contacts are disconnected, and determines that it is currently in an uncompressed state.
  • the distance between the central axes of the deformation devices may be 2-5 cm, and the number of deformation devices provided on the pillow is 14-18.
  • the spacing and number of the deformation devices can be determined according to the number of deformation devices under which the user's head sleeps on the pillow, such as when the user sleeps on the pillow ,
  • the number of deformation devices under pressure at the same time is 3 or 4 and so on.
  • the preset serial number of the pressure detector it can detect the set of serial numbers that are currently under pressure in real time.
  • the serial number currently under pressure may be that the three deformation devices with serial numbers 7, 8, and 9 are under pressure.
  • the sensing device of the pressure detector may further include a plurality of contact pieces, and the contact pieces may be disposed at different strokes, and different pressures may be detected according to the sensing signals of the different contact pieces. Signals, so that the data in the pressure state is more abundant, that is, whether it is in the pressure state, and the magnitude of the pressure in the pressure state.
  • the detected change data of the compression state at the current time may be determined by comparing the current compression state data with the compression state data before the current time.
  • step S102 the frequency of the user's head movement in a predetermined period before the current time is determined according to the change data of the pressure state.
  • the step of determining a user's head movement frequency in a predetermined period before the current time according to the change data of the pressure state includes:
  • step S301 it is determined whether the head of the user has moved and the direction of the movement according to the change data of the pressure state
  • a plurality of pressure detectors arranged side by side in the longitudinal direction. For example, there are 16 pressure detectors arranged at the pillow position, and the serial number is 1-16.
  • the deformation device of any one or more pressure detectors is pressed, At all times, the corresponding sequence of sensing devices detects a pressing signal.
  • the deformation sensing signals of the three deformation devices with serial numbers 7, 8, and 9 may be detected, for example, the deformation signal is 1 (indicating that the current is under pressure), and the deformation sensing signals of other deformation devices that are not deformed are 0 (indicating that they are currently under no pressure).
  • the pressure detector with the serial number 9 returns to 0, the deformation sensing signal of the deformation devices with the serial numbers 6, 7, and 8 is 1, and the continuous detection may detect the serial numbers 5, 6
  • the deformation sensing signal of the deformation devices of 7 and 7 is 1.
  • the sensing state of all the pressure detectors When the sensing state of all the pressure detectors remains unchanged, it indicates that the user is in a static state, and when the sensing state of any of the sensing devices changes, such as changing the sensing signal from 1 to 0, or from 0 to 1. Among them, when the sensing state of any sensing device changes, the total number of deformation devices that may be under pressure may not change. Therefore, it is necessary to determine the serial number of the sensing device whose sensing status changes to determine the current occurrence of the user. The way to move.
  • Whether the user's head has moved can be determined by whether the sensing signal changes.
  • the change in the sensing signal may be a change in a serial number of the sensing signal, or a change in a size of the sensing signal.
  • the serial number of the sensing signal changes, it is determined that the user's head moves.
  • the magnitude of the sensing signal changes, it can be combined to determine whether the user's head has moved in combination with the magnitude of the change and the direction of the change.
  • a change threshold and a distance threshold may be set, and if the magnitude of the sensing signal exceeds the change threshold, and / or, the distance between the pressure detectors where the change in pressure magnitude changes exceeds a preset distance threshold, the user is considered to have The head moves on the pillow, so that the user's head movement data on the pillow can be detected more accurately.
  • the moving direction may be determined according to a change direction of a serial number of the pressure detector in a pressured state, or may be determined according to a direction of a serial number with a larger pressure relative to a serial number with a smaller pressure detected by the pressure detector.
  • the moving direction of the user's head will be described.
  • step S302 when the second movement of the user occurs and the direction of the second movement is the same as the direction of the first movement adjacent to the previous time, the time point of the second movement is equal to the time of the time movement of the first movement adjacent to the previous time. If the interval is less than the predetermined time, the first movement and the second movement are counted as one head movement;
  • movement means that the sensing state of the sensing device changes, that is, the user's head is considered to have moved.
  • the number of times the user's head movement occurs is not equivalent to the number of head movements.
  • a head movement includes the process of multiple movements.
  • the serial number of the above-mentioned deformation device in a compressed state changes to (7 , 8,9), (6,7,8), (5,6,7), (4,5,6), including three moves, but the whole process is a head movement.
  • the time interval exceeds a predetermined time period, or the movement direction of the multiple movements changes, it can be considered that the current movement and the previous movement are in two head movements.
  • the number of head movements corresponding to the movement of the user's head can be more reliably counted, so that the frequency of the user's head movement can be more accurately counted.
  • the counting of the head movement frequency may be performed by selecting a predetermined duration, starting from the time point to be counted, and selecting a predetermined duration forward to count the number of head movements within the predetermined duration.
  • the frequency of head movements can be determined by counting the number of head movements within the predetermined time period. For example, when the scheduled duration is 30 minutes, if you need to count the head movement frequency at any time point (for example, 12:00), you can subtract 30 minutes (that is, 11:30) at the time point that needs to be counted to obtain the time. The number of head moves in the segment (11: 30-12: 00). If the number of head movements is 3 times, the frequency of head movements is 3 times / 30 minutes.
  • step S103 the current sleep state of the user is determined according to the head movement frequency.
  • the sleep state may include a drowsiness state, a light sleep state, a light sleep state, a deep sleep state, or an extremely deep sleep state.
  • the head movement frequency of the user is different in different sleep states.
  • the head movement frequency may include: determining that the user is in the same area as the user ’s Head movement frequency, the total head movement frequency of different regions, and the number of times the user's head has been changed on the pillow.
  • the size of the area is the position of the user's head as the center, and as the center point of the area, the radius of the area is the farthest moving distance when the head changes from lying on its back to lying on its side.
  • Specific sleep state judgment methods may include:
  • the head movement frequency in the same area is more than 3 times / 10 minutes, and the total head movement frequency in different areas is more than 6 times / 30 minutes, and the frequency of the user's head changing position on the pillow is more than 2 times / 30 At the minute, the user is drowsy;
  • the head movement frequency in the same area is less than or equal to 3 times / 10 minutes, and the total head movement frequency in different areas is 3-6 times / 30 minutes, and the frequency of the user's head changing position on the pillow is less than Or 2 times / 30 minutes, the user is in a light sleep state;
  • the user is in a light sleep state
  • the sleep state determined by the frequency of the above-mentioned head movement and the frequency of the changed position is consistent with the sleep state detected by the brain wave.
  • the change in the head position refers to the number of changes in the head position when the user is in the same sleeping position within a predetermined time. For example, at the first time point, the side position is A, and at the second time point, The lying position is B. If A and B are different, the head position is considered to be changed. If the first time is lying on the side and the second time is lying on the back, you can sleep according to the first time point or the second time point. Posture calculations are performed to obtain the positions when the two sleeping points are in the same sleeping position, and then the positions are compared.
  • the head movement frequency includes the number of transformations of different sleeping positions of the head within a predetermined time, and may include dividing the pillow into multiple regions in advance, for example, it may be 3 regions, and the head movement frequency of each region is determined. Alternatively, it can also be based on the user's head position as the center point of the area; the radius of the area can be the farthest moving distance when the head changes from supine to side lying, such as from the center of the supine to the side lying The farthest distance.
  • the drowsiness state can be achieved when the head movement frequency in the same area is greater than 3 times / 10 minutes, and the total head movement frequency in different areas is greater than 6 times / 30 minutes.
  • the frequency of changing the position of the user's head on the pillow is greater than 2 times / 30 minutes, when any two of the three conditions are satisfied, it can be confirmed that the user is currently sleeping.
  • the head movement frequency in the same area is less than or equal to 3 times / 10 minutes, and the total head movement frequency in different areas is 3-6 times / 30 minutes
  • the frequency of the user's head changing position on the pillow is less than Or equal to 2 times / 30 minutes.
  • any two of these three conditions meet the requirements, it can also be confirmed that the user is currently in a light sleep state.
  • the pressure detector is used to obtain the change data of the pressure state of the user's head on the pillow, and the user's head movement frequency can be obtained in real time, that is, to move forward for a predetermined time at the current time point, such as 30 minutes forward to get the current
  • the number of head movements of the user in the 30 minutes before the time can obtain the head movement frequency of the user in real time.
  • characteristic information of a user may be obtained, and the characteristic information may be one or more of data such as age, weight, and head size of the user. Based on the weight and head size, a predetermined value of the moving distance and the size of the area can be determined.
  • FIG. 4 is a schematic structural diagram of a sleep state recognition device according to an embodiment of the present application, which is detailed as follows:
  • the sleeping state recognition device includes:
  • a change data detecting unit 401 is configured to detect change data of a pressure state at a current time through a plurality of pressure detectors with serial numbers provided in a longitudinal position on a pillow position;
  • a head movement frequency determining unit 402 configured to determine a user's head movement frequency in a predetermined period before the current time according to the change data of the pressure state;
  • the sleep state determination unit 403 is configured to determine a current sleep state of the user according to the head movement frequency.
  • the head movement frequency determining unit includes:
  • a movement determining subunit configured to determine whether the user's head moves and the direction of the movement according to the change data of the pressure state
  • a first head movement statistics subunit configured to: when the user makes a second movement, and the direction of the second movement is the same as the direction of the first movement adjacent to the first movement, the time point of the second movement is the first movement If the interval between the time points of the movement is less than the predetermined time, the first movement and the second movement are counted as one head movement;
  • a second head movement counting unit configured to count the second movement as a new head movement when the second movement of the user occurs and the direction of the second movement is opposite to the direction of the first movement adjacent to the previous movement;
  • the frequency calculation subunit is configured to determine the head movement frequency according to the counted number of head movements.
  • the head movement frequency determining unit includes:
  • the time period selection subunit is used to determine the time point as the starting point according to the time point to be counted, and select a predetermined time period forward to count the number of head movements within the predetermined time period;
  • the statistics subunit is configured to determine a head movement frequency according to the number of head movements within the predetermined period of time.
  • the sleep state recognition device shown in FIG. 4 corresponds to the sleep state recognition method described in FIG. 1, and is not repeated here.
  • FIG. 5 is a schematic diagram of a sleep state recognition device according to an embodiment of the present application.
  • the sleep state recognition device 5 of this embodiment includes: a processor 50, a memory 51, and a computer program 52 stored in the memory 51 and executable on the processor 50, such as sleep state recognition. program.
  • the processor 50 executes the computer program 52
  • the steps in the foregoing embodiments of the sleep state recognition method are implemented, for example, steps 101 to 103 shown in FIG.
  • the processor 50 executes the computer program 52
  • the functions of each module / unit in each of the foregoing device embodiments are implemented, for example, the functions of modules 401 to 403 shown in FIG. 4.
  • the computer program 52 may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 51 and executed by the processor 50 to complete This application.
  • the one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe an execution process of the computer program 52 in the sleep state recognition device 5.
  • the computer program 52 may be divided into a change data detection unit, a head movement frequency determination unit, and a sleep state determination unit. The specific functions of each unit are as follows:
  • a change data detection unit configured to detect the change data of the pressure state at the current time through a plurality of pressure detectors with a serial number set vertically at the pillow position;
  • a head movement frequency determining unit configured to determine a user's head movement frequency in a predetermined period before the current time according to the change data of the pressure state
  • the sleep state determining unit is configured to determine a current sleep state of the user according to the head movement frequency.
  • the sleep state recognition device 5 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • the sleep state recognition device may include, but is not limited to, a processor 50 and a memory 51.
  • FIG. 5 is only an example of the sleep state recognition device 5 and does not constitute a limitation on the sleep state recognition device 5. It may include more or fewer components than shown, or a combination of some components. Or different components, for example, the sleep state recognition device may further include an input / output device, a network access device, a bus, and the like.
  • the processor 50 may be a central processing unit (Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), and application-specific integrated circuits (Applications) Specific Integrated Circuit (ASIC), off-the-shelf Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • CPU Central Processing Unit
  • DSP digital signal processor
  • ASIC application-specific integrated circuits
  • FPGA off-the-shelf Programmable Gate Array
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the memory 51 may be an internal storage unit of the sleep state recognition device 5, such as a hard disk or a memory of the sleep state recognition device 5.
  • the memory 51 may also be an external storage device of the sleep state identification device 5, such as a plug-in hard disk, a smart media card (SMC), and a secure digital (Secure) provided on the sleep state identification device 5.
  • the memory 51 may further include both an internal storage unit of the sleep state recognition device 5 and an external storage device.
  • the memory 51 is configured to store the computer program and other programs and data required by the sleep state recognition device.
  • the memory 51 may also be used to temporarily store data that has been output or is to be output.
  • the disclosed apparatus / terminal device and method may be implemented in other ways.
  • the device / terminal device embodiments described above are only schematic.
  • the division of the modules or units is only a logical function division.
  • components can be combined or integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit.
  • the above integrated unit may be implemented in the form of hardware or in the form of software functional unit.
  • the integrated module / unit When the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, this application implements all or part of the processes in the method of the above embodiment, and can also be completed by a computer program instructing related hardware.
  • the computer program can be stored in a computer-readable storage medium.
  • the computer When the program is executed by a processor, the steps of the foregoing method embodiments can be implemented. .
  • the computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file, or some intermediate form.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signals, telecommunication signals, and software distribution media.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electric carrier signals telecommunication signals
  • software distribution media any entity or device capable of carrying the computer program code
  • a recording medium a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signals, telecommunication signals, and software distribution media.

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Abstract

一种睡眠状态识别方法包括：通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据（S101）；根据受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率（S102）；根据头动频率确定用户当前的睡眠状态（S103）。通过设置在枕头位置处的多个压力检测器方便的对处于睡眠状态的用户的头动状态进行准确检测，并根据头动频率与睡眠状态的对应关系，可以准确确定用户当前的睡眠状态。

Description

一种睡眠状态识别方法、装置及设备 技术领域
本申请属于健康睡眠领域，尤其涉及一种睡眠状态识别方法、装置及设备。
 背景技术
为了方便人们获取自己的睡眠质量数据，需要通过数据采集设备获取人们的睡眠状态数据，比如通过在床上设置电子设备（比如智能手机）来获取用户在睡眠时的动静状态数据，从而根据动静状态数据确定用户的睡眠质量。
通过在床上设置电子设备来获取用户的动静状态的方式，虽然使用较为方便，但是，所获取的数据的准确度不高，比如用户轻微的活动状态不能够有效的检测到，或者当床上有多个用户时，无法检测到具体用户的数据，因而所识别到的用户的睡眠状态的准确度不高。
 技术问题
有鉴于此，本申请实施例提供了一种睡眠状态识别方法、装置及设备，以解决现有技术中在监测时需要佩戴传感设备，影响被监测人员睡眠的舒适度，并且容易出现数据中断，使得报警准确度不高的问题。
 技术解决方案
本申请实施例的第一方面提供了一种睡眠状态识别方法，所述睡眠状态识别方法包括：
通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
根据所述头动频率确定用户当前的睡眠状态。
结合第一方面，在第一方面的第一种可能实现方式中，所述根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率的步骤包括：
根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
如果用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
根据统计的头动次数，确定所述头动频率。
结合第一方面，在第一方面的第二种可能实现方式中，所述根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向的步骤包括：
根据处于受压状态的压力检测器的序号是否发生变化，以确定用户的头部是否发生移动；
当用户的头部发生移动时，根据序号的变化方向确定所述用户的移动方向。
结合第一方面，在第一方面的第三种可能实现方式中，所述根据所述头动频率确定用户当前的睡眠状态的步骤包括：
根据所述受压状态的变化数据，获取所述用户的头部在枕头上的移动距离；
当所述移动距离超过预定值时，确定用户的头部在枕头上变换位置，以及根据预设的区域确定用户在同一区域的头动频率，以及位于不同区域的总的头动频率；
根据所述同一区域的头动频率、总的头动频率和所述变换位置的次数，确定用户当前的睡眠状态。
结合第一方面的第三种可能实现方式，在第一方面的第四种可能实现方式中，所述根据所述头动频率和所述位置变换的次数，确定用户当前的睡眠状态的步骤包括：
当在同一区域的所述头动频率大于6次/30分钟，且在不同区域的总的头动频率大于6次/30分钟，以及用户头部在枕头上变换位置的频率大于2次/30分钟时，用户处于有睡意状态；
当在同一区域的所述头动频率小于或等于3次/10分钟，且在不同区域的总的头动频率为3-6次/30分钟，以及用户头部在枕头上变换位置的频率小于或等于2次/30分钟，用户处于浅睡眠状态；
当在同一区域的所述头动频率为1-2次/30分钟，且在不同区域的总的头动频率小于3次/30分钟，以及用户头部在枕头上变换位置的频率小于2次/30分钟，用户处于轻睡眠状态；
当在同一区域的所述头动频率为1次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于深睡眠状态；
当在同一区域的所述头动频率为0次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于极度深睡眠状态。
本申请实施例的第二方面提供了一种睡眠状态识别装置，所述睡眠状态识别装置包括：
变化数据检测单元，用于通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
头动频率确定单元，用于根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
睡眠状态确定单元，用于根据所述头动频率确定用户当前的睡眠状态。
结合第二方面，在第二方面的第一种可能实现方式中，所述头动频率确定单元包括：
移动确定子单元，用于根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
第一头动统计子单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
第二头动统计单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
频率计算子单元，用于根据统计的头动次数，确定所述头动频率。
结合第二方面，在第二方面的第二种可能实现方式中，所述头动频率确定单元包括：
时长选取子单元，用于根据需要统计的时间点，确定在该时间点为起点，向前选取预定时长，统计在该预定时长内的头动次数；
统计子单元，用于根据在该预定时长内的头动次数确定头动频率。
本申请实施例的第三方面提供了一种睡眠状态识别设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如第一方面任一项所述睡眠状态识别方法的步骤。
本申请实施例的第四方面提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如第一方面任一项所述睡眠状态识别方法的步骤。
 有益效果
本申请实施例与现有技术相比存在的有益效果是：通过纵向设置在枕头位置的多个设定有序号的压力检测器，可以有效的检测用户的头部在枕头上的受压位置，从而得到当前时间的受压状态的变化数据，根据所述变化数据，可以确定在一段时间内，用户的头动频率，根据头动频率即可确定用户当前的睡眠状态。由于本申请通过设置在枕头位置处的多个压力检测器方便的对处于睡眠状态的用户的头动状态的进行准确的检测，并根据头动频率与睡眠状态的对应关系，可以准确的确定用户当前的睡眠状态。
 附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例提供的一种睡眠状态识别方法的实现流程示意图；
图2是本申请实施例提供的一种检测睡眠状态的装置的结构示意图；
图3是本申请实施例提供的一种根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率的实现流程示意图；
图4是本申请实施例提供的一种睡眠状态识别装置的示意图；
图5是本申请实施例提供的睡眠状态识别设备的示意图。
 本发明的实施方式
以下描述中，为了说明而不是为了限定，提出了诸如特定系统结构、技术之类的具体细节，以便透彻理解本申请实施例。然而，本领域的技术人员应当清楚，在没有这些具体细节的其它实施例中也可以实现本申请。在其它情况中，省略对众所周知的系统、装置、电路以及方法的详细说明，以免不必要的细节妨碍本申请的描述。
为了说明本申请所述的技术方案，下面通过具体实施例来进行说明。
如图1所示为本申请实施例提供的一种睡眠状态识别方法实现流程示意图，详述如下：
在步骤S101中，通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
具体的，所述压力检测器可以设置在枕头下方，或者设置在枕头上。所述压力检测器可以包括形变装置和感应装置。可以将所述形变装置纵向设置（即沿枕头的宽度方向，与进行睡眠的用户的身体长度方向一致）在枕头位置处，所述感应装置可以设置在枕头的侧部。当用户的头部在枕头的长度方向发生移动时，由于头部的压力作用在不同的形变装置处，使得受压的形变装置对应的感应装置检测到受压状态的信息。
如图2所示为本申请实施例提供的一种压力检测器的实施结构示意图，如图2所示，所述压力检测器包括形变装置21和感应装置22，形变装置21可以为弹性腔体（所述弹性腔体可以选用气囊或者液囊），所述形变装置21与压力检测器22相连，在形变装置发生形变，比如受到挤压时，压力检测器可以检测到是否发生形变。所述形变装置21包括弹性腔体211，还可以在弹性腔体的表面设置软质层212，以保护所述弹性腔体。所述弹性腔体的一侧设置有出孔，受压后的弹性腔体211中的气体或液体向右挤压，迫使感应装置22中的中的形变位移器221发生位移，所述形变位移器可以是滑块、弹性膜等。当形变位移器221发生位移时，位于形变位移器221的移动方向上设置的触片222受到挤压，从而使得两个触片之间的导电状态发生改变，由控制器检测到形变装置21为受挤压的状态。为了控制形变位移器221的位置，在形变位移器221的移动方向还设置有限位器223，从而能够有效的控制形变位移器221的最大移动距离。
即：当弹性腔体受到用户头部的压力时，所述形变位移器发生位置的改变，通过所设置的能够感应所述形变位移器的位置变化的触片222，当形变感应器受压时，则两个触片222导通，通过处理器可以检测到该状态的变化。如果弹性腔体由受压状态转为不受压状态时，形变装置恢复原状，两个触片断开，处理器检测到两个触片断开状态，并确定当前处于未受压状态。
优选的实施方式中，所述形变装置的中轴线之间的间距可以为2-5厘米，在枕头上设置的形变装置的个数14-18个。特别的，对于枕头的长度可能不同的情形，可以根据用户的头部睡在枕头上所受压的形变装置个数来确定形变装置的间距和个数，比如可以设定用户睡在枕头上时，同时受压的形变装置的个数为3个或者4个等。根据预先设定的压力检测器的序号，可以实时的检测当前处于受压状态的序号的集合。比如，当前处于受压状态的序号可以为序号为7、8、9的三个形变装置处于受压状态。
优选的一种实施方式中，所述压力检测器的感应装置还可以包括多个触片，所述触片可以设置在不同的行程处，根据不同触片的感应信号，可以检测得到不同的压力信号，从而使得受压状态的数据更加丰富，即包括是否处于受压状态，以及处于受压状态下，所受的压力的大小。
所检测的当前时间的受压状态的变化数据，可以将当前的受压状态的数据，与当前时间之前的受压状态的数据进行比较的方式确定。
进行比较时，可以比较处于受压状态的压力检测器的序号是否发生变化，确定是否受压发生改变的压力检测器的序号，也可以比较处于受压状态的压力检测器所受的压力的大小是否发生变化，确定压力大小发生变化的压力检测器的序号。
在步骤S102中，根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率。
作为本申请的一种具体的实施方式，如图3所示，所述根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率的步骤包括：
在步骤S301中，根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
具体的，可以对纵向并列设置的多个压力检测器进行编号，比如枕头位置设置有16个压力检测器，序号依次为1-16，当其中任意一个或者多个压力检测器的形变装置被按压时时，相应序列的感应装置检测到按压信号。
一般的，当使用者的头部枕在枕头上时，根据设置的间距的区别，会有多个压力检测器能够检测到按压信号。比如，当头部的宽度对应三个压力检测器的宽度时，用户睡在枕头中部时，可能会检测到序号分别为7、8、9的三个形变装置的形变感应信号，比如形变信号为1（表示当前为受压状态），其它没有发生变形的形变装置的形变感应信号为0（表示当前为未受压状态）。
当用户从中部向左边移动头部时，序号为9的压力检测器恢复为0，序号为6、7、8的形变装置的形变感应信号为1，持续检测，可能检测到序号为5、6、7的形变装置的形变感应信号为1。
当所有的压力检测器的感应状态保持不变时，则表明用户处于静态，当其中任何一个感应装置的感应状态发生变化时，比如从感应信号从1变为0，或者从0变成1。其中，任何一个感应装置的感应状态发生变化时，可能总的处于受压状态的形变装置的个数未发生改变，因此，需要通过确定感应状态发生变化的感应装置的序号，以确定用户当前发生移动的方式。
可以通过感应信号是否发生变化，来确定用户的头部是否发生移动。所述感应信号的变化，可以为感应信号的序号发生变化，或者感应信号的大小发生变化。当感应信号的序号发生变化时，确定用户的头部发生移动。当感应信号的大小发生变化时，可以结合变化的大小和变化的方向，综合判断用户的头部是否发生移动。比如，可以设定变化阈值和距离阈值，如果感应信号的大小超过所述变化阈值，和/或，发生变化压力大小变化的压力检测器之间的距离超过预设的距离阈值，则认为用户的头部在枕头上发生移动，从而能够更为准确的检测到用户的头部在枕头上的移动数据。
所述移动方向可以根据处于受压状态的压力检测器的序号的变化方向确定所述移动方向，或者可以根据压力检测器所检测的压力变大的序号相对于压力变小的序号的方向为所述用户的头部的移动方向。
在步骤S302中，当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
S303，当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
S304，根据统计的头动次数，确定所述头动频率。
当所述用户发生多次移动时，需要获取多次移动的移动方向和时间间隔，通过移动方向和时间间隔共同确定多次移动是否为一次头动或者多次头动。在本申请中，移动是指感应装置的感应状态发生变化，即可认为用户的头部发生了移动。但是，用户的头动发生移动的次数并不能等效于头动次数，这是因为一次头动会包括多次移动的过程，比如上述的处于受压状态的形变装置的序号依次变化为（7，8，9）、（6，7，8）、（5，6，7）、（4，5，6），包括三次移动，但整个过程是一次头动。
另外，还可以通过设置一次头动的距离阈值，当第二移动所属的一次头动的距离大于所述距离阈值时，则统计所述第二移动为新的一次头动。
为了能够有效的统计出头动的次数，通过获取多次移动的移动方向以及多次移动的时间间隔，如果多次移动的时间间隔小于预定时长，比如5秒种，并且移动的方向相同时，则认为多次移动发生在一次头动的动作中。
如果时间间隔超过预定时长，或者多次移动的移动方向发生改变，则可认为当前的移动与之前的移动处于两次头动的动作中。
通过对移动的时间间隔，以及移动方向等特征的采集，可以更为可靠的统计出用户头部的移动所对应的头动次数，从而能够更准确的统计到用户的头动频率。
作为本申请一种具体的实施方式，所述头动频率的统计，可以通过选取预定的时长，以需要统计的时间点为起点，向前选取预定时长，统计在该预定时长内的头动次数，通过统计该预定时长内的头动次数即可确定头动频率。比如，预定时长为30分钟时，如果需要统计任意时间点（比如为12:00）的头动频率，可以以需要统计的时间点向前减30分钟（即为11:30），得到该时间段（11:30-12:00）的头动次数。如果头动次数为3次，则头动频率为3次/30分钟。
在步骤S103中，根据所述头动频率确定用户当前的睡眠状态。
在本申请中，所述睡眠状态可以包括有睡意状态、浅睡状态、轻睡状态、深睡状态或极度深睡状态。不同的睡眠状态，用户的头动频率不同，本申请所设定的头动频率与睡眠状态的对应关系中，头动频率可以包括：确定用户在预先设定的区域内确定用户在同一区域的头动频率，不同区域的总的头动频率以及用户的头部在枕头上变换位置次数。所述区域的大小为用户的头部位置为中心，作为区域的中心点，区域的半径为头部由仰卧变换为侧卧时的最远移动距离。具体的睡眠状态判断方式可以包括：
当在同一区域的所述头动频率大于3次/10分钟，且在不同区域的总的头动频率大于6次/30分钟，以及用户头部在枕头上变换位置的频率大于2次/30分钟时，用户处于有睡意状态；
当在同一区域的所述头动频率小于或等于3次/10分钟，且在不同区域的总的头动频率为3-6次/30分钟，以及用户头部在枕头上变换位置的频率小于或等于2次/30分钟时，用户处于浅睡眠状态；
当在同一区域的所述头动频率为1-2次/30分钟，且在不同区域的总的头动频率小于3次/30分钟，以及用户头部在枕头上变换位置的频率小于2次/30分钟，用户处于轻睡眠状态；
当在同一区域的所述头动频率为1次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于深睡眠状态；
当在同一区域的所述头动频率为0次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于极度深睡眠状态。
经检测，通过上述头动频率以及变换位置的频率所确定的睡眠状态，与脑电波检测到的睡眠状态吻合。
其中，头部位置的改变，是指在预定时间内，用户处于同一睡姿时的头部位置发生改变的次数，比如在第一时间点，侧卧的位置为A，在第二时间点侧卧的位置为B，如果A与B不同，则认为头部位置发生改变，如果第一时间点为侧卧，第二时间点为仰卧，则可以根据第一时间点或第二时间点的睡姿进行推测计算，得到两个时间点处于相同睡姿时的位置，再比较位置是否相同。而头动频率则包括在预定时间内头部不同睡姿的变换次数，可以包括预先将枕头划分为多个区域，比如可以为3个区域，确定每个区域的头动频率。或者，也可以根据用户的头部位置为中心，作为区域的中心点；区域的半径可以为头部由仰卧变换为侧卧时的最远移动距离，比如由仰卧的中心点，到侧卧的最远侧的距离。
作为本申请可选的实施方式中，所述有睡意状态，可以在当在同一区域的所述头动频率大于3次/10分钟、在不同区域的总的头动频率大于6次/30分钟，用户头部在枕头上变换位置的频率大于2次/30分钟时这三个条件中的任意两个条件满足时，即可确认用户当前处于有睡意状态。同样，当在同一区域的所述头动频率小于或等于3次/10分钟，在不同区域的总的头动频率为3-6次/30分钟，用户头部在枕头上变换位置的频率小于或等于2次/30分钟，这三个条件中的任意两个满足要求时，也可确认用户当前处于有浅睡状态。
通过压力检测器获取用户的头部在枕头上的受压状态的变化数据，可以实时的获取用户的头动频率，即以当前时间点向前推移预定时长，比如向前推移30分钟，得到当前时间之前的30分钟内用户发生头动的次数，即可实时的获得用户的头动频率。
另外，作为本申请优选的实施方式中，可以获取用户的特征信息，所述特征信息可以为用户的年龄、体重、头部大小等数据中的一种或者几种。通过体重、头部大小，可以确定移动距离的预定值、区域的大小。
应理解，上述实施例中各步骤的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
图4为本申请实施例提供的一种睡眠状态识别装置的结构示意图，详述如下：
所述睡眠状态识别装置，包括：
变化数据检测单元401，用于通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
头动频率确定单元402，用于根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
睡眠状态确定单元403，用于根据所述头动频率确定用户当前的睡眠状态。
优选的，所述头动频率确定单元包括：
移动确定子单元，用于根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
第一头动统计子单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
第二头动统计单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
频率计算子单元，用于根据统计的头动次数，确定所述头动频率。
优选的，所述头动频率确定单元包括：
时长选取子单元，用于根据需要统计的时间点，确定在该时间点为起点，向前选取预定时长，统计在该预定时长内的头动次数；
统计子单元，用于根据在该预定时长内的头动次数确定头动频率。
图4所述的睡眠状态识别装置，与图1所述的睡眠状态识别方法对应，在此不作重复赘述。
图5是本申请一实施例提供的睡眠状态识别设备的示意图。如图5所示，该实施例的睡眠状态识别设备5包括：处理器50、存储器51以及存储在所述存储器51中并可在所述处理器50上运行的计算机程序52，例如睡眠状态识别程序。所述处理器50执行所述计算机程序52时实现上述各个睡眠状态识别方法实施例中的步骤，例如图1所示的步骤101至103。或者，所述处理器50执行所述计算机程序52时实现上述各装置实施例中各模块/单元的功能，例如图4所示模块401至403的功能。
示例性的，所述计算机程序52可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在所述存储器51中，并由所述处理器50执行，以完成本申请。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机程序指令段，该指令段用于描述所述计算机程序52在所述睡眠状态识别设备5中的执行过程。例如，所述计算机程序52可以被分割成变化数据检测单元、头动频率确定单元和睡眠状态确定单元，各单元具体功能如下：
变化数据检测单元，用于通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
头动频率确定单元，用于根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
睡眠状态确定单元，用于根据所述头动频率确定用户当前的睡眠状态。
所述睡眠状态识别设备5可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。所述睡眠状态识别设备可包括，但不仅限于，处理器50、存储器51。本领域技术人员可以理解，图5仅仅是睡眠状态识别设备5的示例，并不构成对睡眠状态识别设备5的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如所述睡眠状态识别设备还可以包括输入输出设备、网络接入设备、总线等。
所称处理器50可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器 (Digital Signal Processor，DSP)、专用集成电路 (Application Specific Integrated Circuit，ASIC)、现成可编程门阵列 (Field-Programmable Gate Array，FPGA) 或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
所述存储器51可以是所述睡眠状态识别设备5的内部存储单元，例如睡眠状态识别设备5的硬盘或内存。所述存储器51也可以是所述睡眠状态识别设备5的外部存储设备，例如所述睡眠状态识别设备5上配备的插接式硬盘，智能存储卡（Smart Media Card, SMC），安全数字（Secure Digital, SD）卡，闪存卡（Flash Card）等。进一步地，所述存储器51还可以既包括所述睡眠状态识别设备5的内部存储单元也包括外部存储设备。所述存储器51用于存储所述计算机程序以及所述睡眠状态识别设备所需的其他程序和数据。所述存储器51还可以用于暂时地存储已经输出或者将要输出的数据。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，仅以上述各功能单元、模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能单元、模块完成，即将所述装置的内部结构划分成不同的功能单元或模块，以完成以上描述的全部或者部分功能。实施例中的各功能单元、模块可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中，上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。另外，各功能单元、模块的具体名称也只是为了便于相互区分，并不用于限制本申请的保护范围。上述系统中单元、模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述或记载的部分，可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
在本申请所提供的实施例中，应该理解到，所揭露的装置/终端设备和方法，可以通过其它的方式实现。例如，以上所描述的装置/终端设备实施例仅仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口，装置或单元的间接耦合或通讯连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。。其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器（ROM，Read-Only Memory）、随机存取存储器（RAM，Random Access Memory）、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括是电载波信号和电信信号。
以上所述实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围，均应包含在本申请的保护范围之内。

Claims (10)

  1. 一种睡眠状态识别方法，其特征在于，所述睡眠状态识别方法包括：
    通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
    根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
    根据所述头动频率确定用户当前的睡眠状态。
  2. 根据权利要求1所述的睡眠状态识别方法，其特征在于，所述根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率的步骤包括：
    根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
    如果用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
    当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
    根据统计的头动次数，确定所述头动频率。
  3. 根据权利要求2所述的睡眠状态识别方法，其特征在于，所述根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向的步骤包括：
    根据处于受压状态的压力检测器的序号是否发生变化，以确定用户的头部是否发生移动；
    当用户的头部发生移动时，根据序号的变化方向确定所述用户的移动方向。
  4. 根据权利要求1所述的睡眠状态识别方法，其特征在于，所述根据所述头动频率确定用户当前的睡眠状态的步骤包括：
    根据所述受压状态的变化数据，获取所述用户的头部在枕头上的移动距离；
    当所述移动距离超过预定值时，确定用户的头部在枕头上变换位置，以及根据预设的区域确定用户在同一区域的头动频率，以及位于不同区域的总的头动频率；
    根据所述同一区域的头动频率、总的头动频率和所述变换位置的次数，确定用户当前的睡眠状态。
  5. 根据权利要求4所述的睡眠状态识别方法，其特征在于，所述根据所述头动频率和所述位置变换的次数，确定用户当前的睡眠状态的步骤包括：
    当在同一区域的所述头动频率大于3次/10分钟，且在不同区域的总的头动频率大于6次/30分钟，以及用户头部在枕头上变换位置的频率大于2次/30分钟时，用户处于有睡意状态；
    当在同一区域的所述头动频率小于或等于3次/10分钟，且在不同区域的总的头动频率为3-6次/30分钟，以及用户头部在枕头上变换位置的频率小于或等于2次/30分钟，用户处于浅睡眠状态；
    当在同一区域的所述头动频率为1-2次/30分钟，且在不同区域的总的头动频率小于3次/30分钟，以及用户头部在枕头上变换位置的频率小于2次/30分钟，用户处于轻睡眠状态；
    当在同一区域的所述头动频率为1次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于深睡眠状态；
    当在同一区域的所述头动频率为0次/30分钟，且用户头部在枕头上变换位置的频率为0次/30分钟时，用户处于极度深睡眠状态。
  6. 一种睡眠状态识别装置，其特征在于，所述睡眠状态识别装置包括：
    变化数据检测单元，用于通过纵向设置在枕头位置的多个设定有序号的压力检测器，检测当前时间的受压状态的变化数据；
    头动频率确定单元，用于根据所述受压状态的变化数据，确定当前时间之前的预定时段内用户的头动频率；
    睡眠状态确定单元，用于根据所述头动频率确定用户当前的睡眠状态。
  7. 根据权利要求6所述的睡眠状态识别装置，其特征在于，所述头动频率确定单元包括：
    移动确定子单元，用于根据所述受压状态的变化数据，确定用户的头部是否发生移动以及移动的方向；
    第一头动统计子单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动方向相同时，第二移动的时间点与之前相邻的第一移动的时间点的间隔长小于预定时长，则统计第一移动和第二移动为一次头动；
    第二头动统计单元，用于当所述用户发生第二移动，且第二移动的方向与之前相邻的第一移动的方向相反，则统计第二移动为新的一次头动；
    频率计算子单元，用于根据统计的头动次数，确定所述头动频率。
  8. 根据权利要求6所述的睡眠状态识别装置，其特征在于，所述头动频率确定单元包括：
    时长选取子单元，用于根据需要统计的时间点，确定在该时间点为起点，向前选取预定时长，统计在该预定时长内的头动次数；
    统计子单元，用于根据在该预定时长内的头动次数确定头动频率。
  9. 一种睡眠状态识别设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至5任一项所述睡眠状态识别方法的步骤。
  10. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至5任一项所述睡眠状态识别方法的步骤。
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