WO2020015034A1 - 一种基于负离子浓度的睡眠动态修复方法、装置及设备 - Google Patents

一种基于负离子浓度的睡眠动态修复方法、装置及设备 Download PDF

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Publication number
WO2020015034A1
WO2020015034A1 PCT/CN2018/100436 CN2018100436W WO2020015034A1 WO 2020015034 A1 WO2020015034 A1 WO 2020015034A1 CN 2018100436 W CN2018100436 W CN 2018100436W WO 2020015034 A1 WO2020015034 A1 WO 2020015034A1
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WIPO (PCT)
Prior art keywords
negative ion
ion concentration
user
sleep state
frequency
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PCT/CN2018/100436
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English (en)
French (fr)
Inventor
曾灵芝
曾胜
曾骄阳
陈俊达
陈道蓉
严天华
Original Assignee
渝新智能科技（上海）有限公司
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Publication of WO2020015034A1 publication Critical patent/WO2020015034A1/zh

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/44—Applying ionised fluids
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
    • A61M2021/0072—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus with application of electrical currents

Definitions

  • the present application belongs to the field of healthy sleep, and particularly relates to a method, a device, and a system for dynamically restoring sleep based on anion concentration.
  • the main solutions currently being studied include two types: on the one hand, through drug hypnosis, by improving existing drugs or developing new drugs, to improve the sleep effect and reduce side effects of insomniac users.
  • the side effects, dependence, and drug resistance of drugs during drug hypnosis are, after all, the most important and still-solving problems of this method;
  • psychological counseling is used to channel the user's psychology to overcome their emotional problems.
  • the sleep-stopping association thus solves the problem of insomnia.
  • the method of psychological counseling does not have problems such as side effects, dependence, and drug resistance, but it has a slower onset, requires special guidance, and is less popular.
  • the embodiments of the present application provide a method, a device, and a device for dynamically restoring sleep based on the concentration of negative ions, in order to solve the problem of using drug hypnosis in the prior art, which has side effects, depends on drugs, or uses psychological counseling. Slower effect and poor generalization.
  • a first aspect of the embodiments of the present application provides a method for dynamically restoring sleep based on anion concentration, the method includes:
  • the negative ion concentration adjustment time point Determining a negative ion concentration adjustment time point according to the correspondence between the first sleep state and the first time point, the negative ion concentration adjustment time point being a time point corresponding to a start point of a second predetermined duration before the first time point of the day;
  • the negative ion concentration of the scene where the user is located is adjusted to the first negative ion concentration corresponding to the first sleep state.
  • the first sleep state is a light sleep state, a deep sleep state, or an extremely deep sleep state.
  • the determining factor of the first sleep state includes a frequency of a user's head moving on a pillow.
  • a third possible implementation manner of the first aspect when the head movement frequency is in the first frequency range, the user is in a light sleep state;
  • the user When the head movement frequency is in the second frequency range, the user is in a deep sleep state
  • the frequency in the first frequency range, the frequency in the second frequency range, and the frequency in the third frequency range decrease in order.
  • the corresponding first negative ion concentration is:
  • the total negative ion concentration is 8000-12000 / cm3, and the small particle size anion concentration is 5000-8000 / cm3;
  • the corresponding first negative ion concentration is: the total negative ion concentration is 12000-15000 / cm3, and the small particle size negative ion concentration is 8000-10000 / cm3;
  • the frequency of the head movement of the corresponding user's head in the same area is 0 times / 30 minutes, and the frequency of the user's head changing position on the pillow is 0 times / 30 minutes
  • the corresponding first negative ion concentration is: the total negative ion concentration is 15000-20000 / cm3, and the small particle size negative ion concentration is 120-10-15000 / cm3;
  • the small-particle size negative ion has a mobility of less than 0.04 cm2 / (V ⁇ s).
  • the step of acquiring a correspondence between a first sleep state and a first time point within a first predetermined period before a user's current time includes:
  • the weight is determined according to the interval between the obtained time point and the current time. The shorter the interval from the current time, the higher the weight;
  • a first time point corresponding to the first sleep state is calculated and obtained.
  • the method further includes:
  • a second predetermined duration suitable for the user is determined.
  • a second aspect of the embodiments of the present application provides a sleep dynamic repair device based on anion concentration, the device includes:
  • a historical data obtaining unit configured to obtain a correspondence between a first sleep state and a first time point within a first predetermined period before a user's current time
  • a negative ion concentration adjustment time point determining unit configured to determine a negative ion concentration adjustment time point according to a correspondence between the first sleep state and the first time point, the negative ion concentration adjustment time point being a second time before a first time point of the day The time point corresponding to the start of the predetermined duration;
  • the negative ion concentration adjusting unit is configured to adjust the negative ion concentration of the scene where the user is located to the first negative ion concentration corresponding to the first sleep state at the negative ion concentration adjusting time point.
  • a third aspect of the embodiments of the present application provides a sleep dynamic repair device based on anion concentration, including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor When the computer program is executed, the steps of the sleep dynamic repair method based on the negative ion concentration 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 implementation according to any one of the first aspects is based on Steps of a sleep dynamic repair method with negative ion concentration.
  • the embodiment of the present application has a beneficial effect: by acquiring the correspondence between the first sleep state and the first time point in the first predetermined period before the user's current time, and at the first time point of the day
  • the starting point of the previous second predetermined duration is determined as the negative ion concentration adjustment time point, and according to the negative ion concentration adjustment time point, the negative ion concentration of the scene where the user is located is adjusted to the first negative ion concentration corresponding to the first sleep state, so that the user Can enter the first sleep state as soon as possible according to the adjusted negative ion concentration, that is, the time when the user enters the first sleep state in advance, and the user's sleep can be effectively repaired without changing the wake time, and there are no drug side effects Or depending on the drug, and can be adjusted according to the user's own status, the onset of effect is faster, and it is easy to promote.
  • FIG. 1 is a schematic flowchart of an implementation of a method for dynamically repairing a sleep state based on anion concentration according to 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 obtaining a first time point according to an embodiment of the present application.
  • FIG. 4A is a table of time data for entering a light sleep state under different negative ion concentrations provided in an embodiment of the present application.
  • FIG. 4B is a table of time data for entering a deep sleep state under different negative ion concentrations provided in an embodiment of the present application.
  • FIG. 4C is a time data table provided by an embodiment of the present application to enter an extremely deep sleep state under different negative ion concentrations
  • FIG. 5 is a schematic diagram of a sleep dynamic repair device based on anion concentration according to an embodiment of the present application
  • FIG. 6 is a schematic diagram of a sleep dynamic repair device based on anion concentration according to an embodiment of the present application.
  • FIG. 1 is a schematic flowchart of a method for restoring a sleep state based on anion concentration according to an embodiment of the present application, which is detailed as follows:
  • step S101 a correspondence between a first sleep state and a first point in time in a first predetermined period before a user's current time is acquired;
  • the first predetermined time period described in this application may be set to one week, five days, or two weeks. It can be flexibly adjusted according to the user's historical sleep data. For example, when a new user performs dynamic sleep state repair, it may include using historical data of one day, two days, or three days before the current time. That is, when the period of historical data that can be acquired is less than the first predetermined period, all historical data that can be acquired during that period can be used as the basis for calculation.
  • the first sleep state may be determined according to the brain wave frequency and the amplitude of the brain wave of the user. Generally, when the brain wave frequency transitions from 8-15 Hz to 0.5-4 Hz, and the amplitude of the brain wave transitions from 35-60 uV to 5-30 uV, the first sleep state is a drowsiness state.
  • the first sleep state is a light sleep state.
  • the first sleep state is a light sleep state.
  • the first sleep state is a deep sleep state.
  • the first sleep state is an extremely deep sleep state.
  • the present application proposes a method for determining the sleep state based on the number of head movements of the user on the pillow and / or the number of position changes.
  • the number of head movements refers to the number of times a user's head changes from a stop state to a dynamic state.
  • the specific behaviors indicated by the number of head movements may include the behavior of a face-up lying on the side (left or right), and the head is changed from a face-up lying in the position A to a face lying in the position B Wait.
  • the number of position changes refers to the number of times the position of the user's head has changed on the pillow.
  • the pillow can be divided into multiple areas. When the area of the user's head changes, the user's head is considered to have a position.
  • the transformation for example, can divide the pillow into three areas based on the portrait orientation, that is, the direction in which the user is lying down.
  • the brain wave frequency and amplitude may also include the number of times the user's head moves, or the number of times the user's head changes position on the pillow.
  • the sleep state of the user may be directly determined according to the number of head movements within a preset duration, that is, the head movement frequency. For example, when the head movement frequency is in the second frequency range, the user is in a light sleep state;
  • the user When the head movement frequency is in the third frequency range, the user is in a light sleep state
  • the user When the head movement frequency is in the fourth frequency range, the user is in a deep sleep state
  • the frequency in the first frequency range, the frequency in the second frequency range, the frequency in the third frequency range, the frequency in the fourth frequency range, and the frequency in the fifth frequency range decrease in order.
  • 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 current sleep state of the user can be effectively determined.
  • the present application proposes a detection device for the sleep state of the user, the sleep state detection device is disposed under the pillow, or It is arranged on the pillow and includes a plurality of side-by-side, longitudinally arranged deformation sensing devices.
  • the deformation sensing device includes a deformation device 21 and a sensing device 22.
  • the deformation device 21 may be an elastic cavity (the elasticity The cavity can be an air bag or a liquid sac).
  • the deformation device 21 is connected to the deformation sensing device 22.
  • 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 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 interval between the central axes of the elastic cavities may be 2-5 cm, and the number of the elastic cavities provided on the pillow is 14-18.
  • the spacing and number of the elastic cavities can be determined according to the number of elastic cavities that the user's head sleeps on the pillow, for example, the user can be set to sleep on the pillow.
  • the number of the elastic cavities that are compressed at the same time is three or four.
  • the frequency of the user's head movement can be determined according to the state of movement and static state of the user's head on the pillow, including:
  • step A1 the deformation signals of a plurality of deformation devices arranged side by side in the pillow position are detected by the induction device to obtain the induction states corresponding to the induction devices of different numbers;
  • the deformation sensing devices it is possible to number a plurality of deformation sensing devices arranged side by side in the longitudinal direction. For example, there are 16 deformation sensing devices at the position of a pillow, and the serial number is 1-16. When any one or more of the deformation sensing devices are pressed, At all times, the corresponding sequence of sensing devices detects a pressing signal.
  • a plurality of deformation sensing devices can detect a pressing signal according to a difference in a set distance.
  • 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 deformation sensing device with a serial number of 9 returns to 0, and the deformation sensing signal with a deformation device with a serial number of 6, 7, 8 is 1, and continuous detection may detect serial numbers of 5, 6
  • the deformation sensing signal of the deformation devices of 7 and 7 is 1.
  • step A2 when the sensing state of any of the sensing devices changes, it is determined that the user has moved
  • the sensing state of all the deformation sensing devices When the sensing state of all the deformation sensing devices 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 from a deformation 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.
  • step A3 the head movement frequency is determined according to the time and direction in which the user has moved.
  • the serial number of the deforming device under pressure may be (7, 8, 9), ( 6, 7, 8), (5, 6, 7), (4, 5, 6). However, if the three serial number changes are three head movements, the accuracy of the counted head movements is not high.
  • 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.
  • the first time point in the embodiment of the present application refers to a time point in a day, such as ten o'clock in the evening, ten thirty, eleven, and the like.
  • the first time point may be in the time of each day.
  • the step of obtaining the correspondence between the first sleep state and a time point in the first predetermined period before the user's current time may be as shown in FIG. 3 and includes:
  • step S301 a point in time when a user enters a first sleep state in a first predetermined period before a current time is obtained;
  • the first predetermined period may be one week, of course, it is not limited to this, and may be two weeks or five days.
  • a time point at which the user enters the first sleep state in each day in the first predetermined period is obtained.
  • the time point when the user enters the first sleep state can be collected through brain wave detection or through the dynamic and static state of the pillow.
  • the following table shows the table of the time when the user entered the first sleep state within a predetermined period of time calculated on June 16th:
  • step S302 the weight value is determined according to the interval time between the acquired time point and the current time, and the shorter the interval time from the current time, the higher the weight value;
  • the earliest time point and the latest time point can be removed, and then the average of the remaining time points can be calculated, or according to the date of the time point Determine different weights.
  • the weights that can be assigned are: 0.21, 0.18, 0.16, 0.14, 0.12, 0.1, 0.09.
  • step S303 the first time point corresponding to the first sleep state is calculated and obtained according to the acquired time point and the corresponding weight value.
  • a negative ion concentration adjustment time point is determined according to a correspondence between the first sleep state and a first time point, and the negative ion concentration adjustment time point is a starting point of a second predetermined duration before the first time point of the day. Corresponding time point
  • the time point for adjusting the negative ion concentration is determined, that is, the starting point of the second predetermined duration before the first time point is selected. Adjust the time point as the negative ion concentration.
  • the time point of adjusting the negative ion concentration is 9:33.
  • the second predetermined duration may be flexibly adjusted according to a sleep adjustment result of the user.
  • the second predetermined time duration is T1 minutes
  • the time point when the user enters the first sleep state is X1
  • the second predetermined time duration is T2 minutes
  • the time point when the user enters the first sleep state is X2
  • the second predetermined duration is preferably T1.
  • the second predetermined duration that is more suitable for the user may be determined in a stepwise adjustment manner.
  • step S103 at the time point of adjusting the negative ion concentration, the negative ion concentration of the scene where the user is located is adjusted to the first negative ion concentration corresponding to the first sleep state.
  • the corresponding first negative ion concentration is a total negative ion concentration of 12000-15000 / cm3, and a small particle diameter negative ion concentration of 8000-10000 / cm3;
  • the corresponding first negative ion concentration is a total negative ion concentration of 12000-15000 per cubic centimeter and a small particle size negative ion concentration of 8000-10000 per cubic centimeter;
  • the corresponding first negative ion concentration is a total negative ion concentration of 15000-20000 / cm3, and a small particle diameter negative ion concentration of 1,2000-15000 / cm3;
  • the small particle size negative ion is a negative ion having a mobility of less than 0.04 cm2 / (V ⁇ s)
  • the large particle size negative ion is a negative ion having a mobility greater than 0.4 cm2 / (V ⁇ s)
  • the intermediate particle is an intermediate particle. Diameter negative ions.
  • the determination of the first sleep state can be determined according to the frequency of the user's head movement, or can also be determined in combination with the number of times the user's head position is changed, which will not be repeated here.
  • the first negative ion concentration corresponding to the first sleep state was tested for 30 days by selecting 30 test personnel (including 10 women and 20 men), and ensuring that the same environmental parameters were maintained during the test (Including the same humidity, carbon dioxide concentration, temperature, and air velocity), after adjusting to a certain negative ion concentration at the same time every day, the length of time that the user enters the first sleep state under different negative ion concentrations is obtained.
  • test personnel including 10 women and 20 men
  • the same environmental parameters Including the same humidity, carbon dioxide concentration, temperature, and air velocity
  • the time point of entering the light sleep state is 10 : 28; Under the environment where the total negative ion concentration is 3000-5000 / CM3, and the concentration of small particle anions is 2000-3000 / CM3, the time point of entering the light sleep state is 10:32; at the total negative ion concentration of 5000 ⁇ 8000 pcs / CM3, the concentration of small particle size negative ion 3000 ⁇ 5000 pcs / CM3, the time point of entering light sleep state is 10:30; the total negative ion concentration is 12000 ⁇ 15000 pcs / CM3, small particle size In an environment where the concentration of negative ions is 8000 to 10,000 / CM3, the time point of entering a light sleep state is 10:28; at a total concentration of 15,000 to
  • the total negative ion concentration is the same as the total negative ion concentration.
  • the total negative ion concentration In the environment of 12000 ⁇ 15000 particles / CM3 small particle size anion concentration of 8000 ⁇ 10000 particles / CM3, compared with other negative ion concentration ranges, it can enter deep sleep state in the fastest time.
  • FIG. 4C Under the environment of a total negative ion concentration of 15,000 to 20,000 particles / CM3 and a small particle diameter of 12,000 to 15,000 particles / CM3, compared to other negative ion concentration ranges, the deepest sleep state is entered in the fastest time. .
  • the corresponding first negative ion concentration when the first sleep state is a light sleep state, the corresponding first negative ion concentration is: the total negative ion concentration is 8000 to 100,000 / CM3, and the small particle diameter negative ion concentration is 5000 to 8000 / CM3;
  • the corresponding first negative ion concentration is a total negative ion concentration of 12,000 to 15000 / CM3, and the small particle diameter negative ion concentration is 8000 to 10,000 / CM3;
  • the corresponding first negative ion concentration When in a deep sleep state, the corresponding first negative ion concentration is 15,000 to 20,000 total negative ions per CM3, and the small particle diameter negative ion concentration is 12,000 to 15,000 per CM3.
  • the ambient negative ion concentration can be controlled to 8000 to 9,000 total negative ion concentration / CM3 small particle size negative ion concentration when waking up. 5000 ⁇ 6000 pieces / CM3.
  • the detection of the user being awake can be performed by detecting whether the user is in an extremely deep sleep state, and the number of times of the user's head movement is greater than 20 times / 30 minutes, or the number of times of changing the position of the head on the pillow is greater than or equal to At 20 times / 30 minutes, the user is awake. Of course, it is also possible to detect whether the user is awake through brain waves.
  • FIG. 5 is a schematic structural diagram of a sleep dynamic repair device based on anion concentration provided in an embodiment of the present application, which is detailed as follows:
  • the sleep dynamic repairing device based on the negative ion concentration includes:
  • the historical data obtaining unit 501 is configured to obtain a correspondence between a first sleep state and a first time point within a first predetermined period before a user's current time;
  • the negative ion concentration adjustment time point determining unit 502 is configured to determine a negative ion concentration adjustment time point according to the correspondence between the first sleep state and the first time point, where the negative ion concentration adjustment time point is the first time before the first time point of the day. The time point corresponding to the beginning of the predetermined duration;
  • the negative ion concentration adjustment unit 503 is configured to adjust the negative ion concentration of the scene where the user is located to the first negative ion concentration corresponding to the first sleep state at the negative ion concentration adjustment time point.
  • the first sleep state is a drowsiness state, a light sleep state, a light sleep state, a deep sleep state, or an extremely deep sleep state.
  • the determining factors of the first sleep state include the frequency of the user's head moving on the pillow.
  • the user when the head movement frequency is in the first frequency range, the user is in a light sleep state;
  • the user When the head movement frequency is in the second frequency range, the user is in a deep sleep state
  • the frequency in the first frequency range, the frequency in the second frequency range, and the frequency in the third frequency range decrease in order.
  • the head movement frequency of the corresponding user's head in the same area is 1-2 times / 30 minutes, and the total head movement frequency in different areas is less than 3 times / 30 Minutes, and the frequency of changing the position of the user's head on the pillow is less than 2 times / 30 minutes
  • the corresponding first negative ion concentration is: the total negative ion concentration is 8000-12000 per cubic centimeter, and the small particle size negative ion concentration is 5000-8000 / Cubic centimeter
  • the corresponding first negative ion concentration is: the total negative ion concentration is 12000-15000 / cm3, and the small particle size negative ion concentration is 8000-10000 / cm3;
  • the frequency of the head movement of the corresponding user's head in the same area is 0 times / 30 minutes, and the frequency of the user's head changing position on the pillow is 0 times / 30 minutes
  • the corresponding first negative ion concentration is: the total negative ion concentration is 15000-20000 / cm3, and the small particle size negative ion concentration is 120-10-15000 / cm3;
  • the small-particle size negative ion has a mobility of less than 0.04 cm2 / (V ⁇ s).
  • the historical data obtaining unit includes:
  • a time point acquisition subunit configured to acquire a time point when a user enters a first sleep state in a first predetermined period before the current time
  • a weight determining subunit configured to determine a weight according to an interval between the obtained time point and the current time; the shorter the interval from the current time, the higher the weight;
  • the calculation subunit is configured to calculate and obtain the first time point corresponding to the first sleep state according to the obtained time point and the corresponding weight value.
  • the device further includes:
  • the second predetermined duration determining unit is configured to determine a second predetermined duration suitable for the user according to a feedback result of the sleep repair of the user.
  • the sleep state repairing device based on the negative ion concentration shown in FIG. 5 corresponds to the sleep state repairing method based on the negative ion concentration described in FIG. 1, and is not repeated here.
  • FIG. 6 is a schematic diagram of a sleep dynamic repair device based on anion concentration according to an embodiment of the present application.
  • the sleep dynamic repair device 6 based on the negative ion concentration in this embodiment includes a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60, For example, sleep dynamic repair procedures based on negative ion concentration.
  • the processor 60 executes the computer program 62
  • the steps in the embodiments of the sleep dynamic repair method based on the negative ion concentration described above are implemented, for example, steps 101 to 103 shown in FIG.
  • the processor 60 executes the computer program 62
  • the functions of each module / unit in the foregoing device embodiments are implemented, for example, the functions of modules 501 to 503 shown in FIG. 5.
  • the computer program 62 may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 60 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 the execution process of the computer program 62 in the sleep dynamic repair device 6 based on the negative ion concentration .
  • the computer program 62 may be divided into a historical data acquisition unit, a negative ion concentration adjustment time point determination unit, and a negative ion concentration adjustment unit. The specific functions of each unit are as follows:
  • a historical data obtaining unit configured to obtain a correspondence between a first sleep state and a first time point within a first predetermined period before a user's current time
  • a negative ion concentration adjustment time point determining unit configured to determine a negative ion concentration adjustment time point according to a correspondence between the first sleep state and the first time point, the negative ion concentration adjustment time point being a second time before a first time point of the day The time point corresponding to the start of the predetermined duration;
  • the negative ion concentration adjusting unit is configured to adjust the negative ion concentration of the scene where the user is located to the first negative ion concentration corresponding to the first sleep state at the negative ion concentration adjusting time point.
  • the sleep dynamic repair device 6 based on the negative ion concentration can be directly set in a bedding setting and passed.
  • the sleep dynamic repair device based on the negative ion concentration may include, but is not limited to, a processor 60 and a memory 61.
  • FIG. 6 is only an example of the sleep dynamic repair device 6 based on the negative ion concentration, and does not constitute a limitation on the sleep dynamic repair device 6 based on the negative ion concentration, and may include more or less Components, or some components combined, or different components, for example, the sleep dynamic repair device based on the negative ion concentration may further include an input-output device, a network access device, a bus, and the like.
  • the processor 60 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 61 may be an internal storage unit of the sleep dynamic repair device 6 based on the negative ion concentration, for example, a memory of the sleep dynamic repair device 6 based on the negative ion concentration.
  • the memory 61 may also be an external storage device of the sleep dynamic repair device 6 based on the negative ion concentration, such as a Smart Media Card (SMC) provided on the sleep dynamic repair device 6 based on the negative ion concentration, which is safe Digital Digital, SD) cards, flash cards, etc.
  • SMC Smart Media Card
  • the memory 61 may further include both an internal storage unit of the sleep dynamic repair device 6 based on the negative ion concentration and an external storage device.
  • the memory 61 is configured to store the computer program and other programs and data required by the sleep dynamic repair device based on the negative ion concentration.
  • the memory 61 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

一种基于负离子浓度的睡眠动态修复方法,包括：获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。该方法能够使得用户能够根据调整的负离子浓度尽快进入到第一睡眠状态，即提前进入第一睡眠状态的时间，在睡醒时间不变的情况下，能够有效的对用户的睡眠进行修复，不会存在药物副作用或对药物产生依赖，并且能够根据用户自身的状态进行调整，起效较快，易于推广。

Description

一种基于负离子浓度的睡眠动态修复方法、装置及设备 技术领域
本申请属于健康睡眠领域，尤其涉及一种基于负离子浓度的睡眠动态修复方法、设备及系统。
 背景技术
随着现代生活节奏的加快，人们的工作压力、生活压力也日益增加。过大的压力容易使人无法入睡，使得失眠已经为部分人群带来困扰；并且，睡眠质量的好坏对人们的生活、学习和工作又会产生很大的影响，容易产生压力大和失眠的恶循环。
为了解决人们失眠的问题，目前所研究的主要解决办法包括两种：一方面是通过药物催眠，通过改进现有药物或研发新的药物，以提高失眠用户的睡眠效果和降低副作用。然而通过药物催眠时，药物的副作用、依赖性以及耐药性终究是该方法最为重要且现今仍为解决的问题；另一方面是通过心理疏导，对用户的心理进行疏导，以克服其情绪上的阻睡联想，从而解决问题的失眠问题。心理疏导的方法和药物催眠相比，虽然不存在副作用、依赖性以及耐药性等方面的问题，但起效较慢、需要专人引导，推广性较差。
 技术问题
有鉴于此，本申请实施例提供了一种基于负离子浓度的睡眠动态修复方法、装置及设备，以解决现有技术中采用药物催眠，存在副作用，对药物产生依赖，或采用心理疏导时，起效较慢，推广性较差的问题。
 技术解决方案
本申请实施例的第一方面提供了一种基于负离子浓度的睡眠动态修复方法，所述方法包括：
获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
结合第一方面，在第一方面的第一种可能实现方式中，所述第一睡眠状态为轻睡状态、深睡状态或极度深睡状态。
结合第一方面的第一种可能实现方式，在第一方面的第二种可能实现方式中，所述第一睡眠状态的确定因素包括用户的头部在枕头上头动频率。
结合第一方面的第二种可能实现方式，在第一方面的第三种可能实现方式中，当所述头动频率处于第一频率范围时，用户处于轻睡状态；
当所述头动频率处于第二频率范围时，用户处于深睡状态；
当所述头动频率处于第三频率范围时，用户处于极度深睡眠状态；
其中，第一频率范围的频率、第二频率范围的频率、第三频率范围的频率依次减小。
结合第一方面的第一种可能实现方式，在第一方面的第四种可能实现方式中，所述用户处于轻睡眠状态时，对应的用户头部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，对应的第一负离子浓度为：总负离子浓度为8000-12000个/立方厘米，小粒径负离子浓度为5000-8000个/立方厘米；
当所述用户处于深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
当所述用户处于极度深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为15000-20000个/立方厘米，小粒径负离子浓度为12000-15000个/立方厘米；
其中，所述小粒径负离子为迁移率小于0.04cm2/(V`s)。
结合第一方面，在第一方面的第五种可能实现方式中，所述获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系的步骤包括：
获取当前时间之前的第一预定时段内的用户进入第一睡眠状态的时间点；
根据获取的时间点与当前时间的间隔时长确定权值，与当前时间的间隔时长越短，权值越高；
根据获取的时间点以及对应的权值，计算得到第一睡眠状态所对应的第一时间点。
结合第一方面，在第一方面的第六种可能实现方式中，所述方法还包括：
根据用户睡眠修复的反馈结果，确定与用户相适宜的第二预定时长。
本申请实施例的第二方面提供了一种基于负离子浓度的睡眠动态修复装置，所述装置包括：
历史数据获取单元，用于获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
负离子浓度调整时间点确定单元，用于根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
负离子浓度调整单元，用于在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
本申请实施例的第三方面提供了一种基于负离子浓度的睡眠动态修复设备，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，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基于负离子浓度的睡眠动态修复方法的步骤。
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基于负离子浓度的睡眠动态修复方法的步骤。
 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：通过获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系，并在当天的第一时间点之前的第二预定时长的起点确定为负离子浓度调整时间点，并根据所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度，从而使得用户能够根据调整的负离子浓度尽快进入到第一睡眠状态，即提前用户进入第一睡眠状态的时间，在睡醒时间不变的情况下，能够有效的对用户的睡眠进行修复，不会存在药物副作用或对药物产生依赖，并且能够根据用户自身的状态进行调整，起效较快，易于推广。
 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基于负离子浓度的睡眠状态动态修复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获取第一时间点的实现流程示意图；
图4A是本申请实施例提供的在不同负离子浓度下进入轻睡状态的时间数据表格；
图4B是本申请实施例提供的在不同负离子浓度下进入深睡眠态的时间数据表格；
图4C是本申请实施例提供的在不同负离子浓度下进入极度深睡眠状态的时间数据表格；
图5是本申请实施例提供的基于负离子浓度的睡眠动态修复装置的示意图；
图6是本申请实施例提供的基于负离子浓度的睡眠动态修复设备的示意图。
 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基于负离子浓度的睡眠状态修复方法实现流程示意图，详述如下：
在步骤S101中，获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
具体的，本申请所述第一预定时段，可以设置为一个星期、五天或者两周时间等。可以根据用户的历史睡眠数据灵活调整。比如在新用户进行睡眠状态动态修复时，则可能包括使用当前时间之前的一天、两天或三天的历史数据等。即当能够获取的历史数据的时段小于第一预定时段时，则可以将该时段能够获取到的全部历史数据作为计算的基础。
所述第一睡眠状态，可以根据用户的脑电波频率以及脑电波的波幅确定。一般的，当脑电波频率由8-15Hz过渡至0.5-4Hz，并且脑电波的波幅由35-60uV过渡到5-30uV时，所述第一睡眠状态为有睡意状态。
当脑电波频率为5-10Hz，并且波幅处于10-50uV时，所述第一睡眠状态为浅睡状态。
当脑电波频率中属于5-10Hz部分的比例大于预定值，比如80%时，且伴有12-26Hz的脑电波，并且波幅处于10-50uV时，所述第一睡眠状态为浅睡状态。
当脑电波频率属于1-5Hz时，所述第一睡眠状态为深睡状态。
当脑电波频率属于1-3Hz时，所述第一睡眠状态为极度深睡状态。
为了能够检测睡眠状态的便利性，本申请提出了一种基于用户在枕头上的头动次数和/或变换位置次数来确定睡眠状态的方法。其中头动次数，是指用户的头部由止态变为动态的次数。头动次数所指示的具体行为可以包括面部朝上的正卧变为侧卧（左侧或右侧）的行为，头部由面部朝上且在位置A的正卧变换为在位置B的正卧等。变换位置次数，是指用户的头部在枕头上的位置发生变化的次数，可以将枕头划分为多个区域，当用户的头部所在的区域发生变化时，则认为用户的头部发生了位置变换，比如，可以根据纵向，即用户躺下的方向，将枕头划分为三个区域。
与脑电波频率和波幅相对应的，还可以包括用户的头动次数，或者还包括用户的头部在枕头上变换位置的次数。
可以直接根据预设时长内的头动次数，即头动频率来判断用户的睡眠状态，比如，当所述头动频率处于第二频率范围时，用户处于浅睡状态；
当所述头动频率处于第三频率范围时，用户处于轻睡状态；
当所述头动频率处于第四频率范围时，用户处于深睡状态；
当所述头动频率处于第五频率范围时，用户处于极度深睡眠状态；
其中，第一频率范围的频率、第二频率范围的频率、第三频率范围的频率、第四频率范围的频率和第五频率范围的频率依次减小。
更为具体的：
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。
通过获取用户的头动次数，或者还包括用户的头部在枕头上变换位置的次数，可以有效的确定用户当前的睡眠状态。
为了能够有效的检测到用户的头动次数以及用户的头部在枕头上变换位置的次数，本申请提出了一种用户睡眠状态的检测装置，所述睡眠状态检测装置为设置在枕头下方，或者设置在枕头上，包括多个并排的、纵向设置的形变感应装置，如图2所示，所述形变感应装置包括形变装置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与形变感应装置22相连，在形变装置发生形变，比如受到挤压时，形变感应装置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，所述弹性腔体的中轴线之间的间距可以为2-5厘米，在枕头上设置的弹性腔体的个数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弹性腔体个数来确定弹性腔体的间距和个数，比如可以设定用户睡在枕头上时，同时受压的弹性腔体的个数为3个或者4个等。
作为本申请的一种具体的实施方式，可以根据用户头部在枕头上的动静状态，根据所述动静状态确定所述用户的头动频率，包括：
在步骤A1中，通过感应装置检测纵向并列设置在枕头位置的多个形变装置的形变信号，获得不同序号的感应装置对应的感应状态；
具体的，可以对纵向并列设置的多个形变感应装置进行编号，比如枕头位置设置有16个形变感应装置，序号依次为1-16，当其中任意一个或者多个形变感应装置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，会有多个形变感应装置能够检测到按压信号。比如，当头部的宽度对应三个形变感应装置的宽度时，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的形变感应装置恢复为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。
在步骤A2中，当其中任一个感应装置的感应状态发生变化时，确定所述用户发生移动；
当所有的形变感应装置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，比如从形变信号从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。
在步骤A3中，根据所述用户发生移动的时间和方向确定所述头动频率。
由于用户在移动过程中，可能会引起持续的感应状态的变化，比如用户从中间的仰卧转为侧卧时，处于受压状态的形变装置的序号可能依次为（7，8，9）、（6，7，8）、（5，6，7）、（4，5，6）。而这三次序号的改变，如果统计为三次头动，则会使得统计的头动次数的准确率不高。
为了提高所统计的头动次数的准确率，具体可以包括：
S1，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；
S2，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，则统计第二移动和第一移动为两次头动；
S3，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。
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。
本申请实施例所述的第一时间点，是指一天中的时间点，比如晚上十点、十点半、十一点等。在每一天的时间中均可以所述第一时间点。获取所述用户当前时间之前的第一预定时段内的第一睡眠状态与和一时间点的对应关系的步骤，可以如图3所示，包括：
在步骤S301中，获取当前时间之前的第一预定时段内的用户进入第一睡眠状态的时间点；
如果用户的历史数据较为充裕，所述第一预定时段可以为一个星期，当然不局限于此，还可以为两个星期或者五天等。获取所述第一预定时段内的每一天中，用户在进入第一睡眠状态的时间点。比如，可以通过脑电波检测，或者通过枕头的动静状态，采集到用户进入第一睡眠状态的时间点。如下表所示为6月16日所统计的用户在预定时段内进入第一睡眠状态的时间的表格：
表1-1
日期 进入第一睡眠状态的时间
6-15 10:45
6-14 10:15
6-13 9:45
6-12 9:35
6-11 9:10
6-10 9:15
6-9 9:55
在步骤S302中，根据获取的时间点与当前时间的间隔时长确定权值，与当前时间的间隔时长越短，权值越高；
为了能够更加有效的确定历史数据对用户当前睡眠时间的影响，可以将最早的时间点以及最晚的时间点去除，然后求剩余的时间点的平均值，或者也可以根据时间点所在的日期，确定不同的权值，距离当前时间越近，所确定的权值越高，比如可以分配的权值依次为：0.21、0.18、0.16、0.14、0.12、0.1、0.09。
如果去除最早时间点9:10和最晚时间点10:40，将剩余的5个时间点求平均值可得：(10:15+9:45+9:35+9:15+9:55)/5=9:45。
在步骤S303中，根据获取的时间点以及对应的权值，计算得到第一睡眠状态所对应的第一时间点。
根据预先确定的权值，以及采集得到的一个星期时段内，用户进入第一睡眠状态的时间点，可以对第一时间点进行计算，即将各个时间点与对应的权值相乘，然后再对乘积取和，即可得到第一时间点。比如，根据上述采集的进入第一睡眠状态的时间点，以及权值，可以进行计算第一时间点为：10:45*0.21+10:15*0.18+9:45*0.16+9:35*0.14+9:10*0.12+9:15*0.1+9:55*0.09=9:53。
通过统计历史睡眠数据，并对历史数据进行加权计算，可以更为可靠的确定用户在当天可能进入第一睡眠状态的时间点，从而能够更好的针对该时间点进行后续的睡眠修复操作。
在步骤S102中，根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
为了对睡眠进行修复，在确定了第一睡眠状态所对应的第一时间点后，针对第一时间点，确定负离子浓度调整时间点，即选择在第一时间点之前的第二预定时长的起点作为负离子浓度调整时间点。
比如，通过计算确定用户的第一时间点为9:53后，所待定的第二预定时长为20分钟，那么，负离子浓度调整时间点即为9:33。
当然，所述第二预定时长可以根据用户的睡眠调整结果，灵活的调整。比如，当所述第二预定时长选用T1分钟时，用户进入第一睡眠状态的时间点为X1，当所述第二预定时长选用T2分钟时，用户进入第一睡眠状态的时间点为X2，如果X1早于X2，则优先选用第二预定时长为T1。
为了选出较优的第二预定时长，可以通过逐步调整的方式，确定与用户更为匹配的第二预定时长。
在步骤S103中，在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
具体的，当第一睡眠状态为轻睡眠状态时，所对应的第一负离子浓度为总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
当第一睡眠状态为深睡眠状态时，所对应的第一负离子浓度为总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
当第一睡眠状态为极度深睡眠状态时，所对应的第一负离子浓度为总负离子浓度为15000-20000个/立方厘米，小粒径负离子浓度为12000-15000个/立方厘米；
其中，所述小粒径负离子为迁移率小于0.04cm2/(V`s)，大粒径负离子为迁移率大于0.4 cm2/(V`s)的负离子，介于两者之间的为中粒径负离子。
其中，第一睡眠状态的确定，可以根据用户的头动频率，或者还可以结合用户的头部位置变换的次数来确定，在此不作重复赘述。
其中，所述第一睡眠状态对应的第一负离子浓度，通过对选取30名测试人员（其中包括10女20男），进行了为期30天的测试，并且保证在测试过程中维持相同的环境参数（包括相同的湿度、二氧化碳浓度、温度和气流速度），在每天同一时间调整至某一负离子浓度后，得到用户在不同负离子浓度下进入第一睡眠状态的时长。如图4A所示为不同的负离子浓度范围下，从十点开始按照给定的负离子浓度范围，所选取的十一名用户进入轻睡状态所确定的时间点：
从图4A可以确认，对于被测试人员1，在总负离子浓度为8000～12000个/CM3，小粒径负离子的浓度5000～8000个/CM3的环境下，其进入轻睡状态的时间点为10:28；在总负离子浓度为3000～5000个/CM3，小粒径负离子的浓度2000～3000个/CM3的环境下，其进入轻睡状态的时间点为10:32；在总负离子浓度为5000～8000个/CM3，小粒径负离子的浓度3000～5000个/CM3的环境下，其进入轻睡状态的时间点为10:30；在总负离子浓度为12000～15000个/CM3，小粒径负离子的浓度8000～10000个/CM3的环境下，其进入轻睡状态的时间点为10:28；在总负离子浓度为15000～20000个/CM3，小粒径负离子的浓度12000～15000个/CM3的环境下，其进入轻睡状态的时间点为10:28。结合多个用户可知，相对于其它负离子浓度范围，在总负离子浓度8000～12000个/CM3小粒径负离子浓度为5000～8000个/CM3时，以最快的时间进入有睡意状态。
根据同样的验证方法，如图4B所示，在总负离子浓度                     12000～15000个/CM3小粒径负离子浓度为8000～10000个/CM3的环境下，相对于其它负离子浓度范围，以最快的时间进入深睡眠状态。如图4C所示，在总负离子浓度15000～20000个/CM3，小粒径负离子浓度为12000～15000个/CM3的环境下，相对于其它负离子浓度范围，以最快的时间进入极度深睡眠状态。
由图4A-4C可得：当第一睡眠状态为轻睡状态时，所对应的第一负离子浓度为：总负离子浓度为8000～100000个/CM3，小粒径负离子的浓度5000～8000个/CM3；当第一睡眠状态为深睡状态时，所对应的第一负离子浓度为总负离子浓度12000～15000个/CM3小粒径负离子浓度为8000～10000个/CM3；当第一睡眠状态为极度深睡状态时，所对应的第一负离子浓度为总负离子浓度15000～20000个/CM3小粒径负离子浓度为12000～15000个/CM3。
另外，为了提高用户在睡醒状态后的舒适度，提高用户在睡眠后的起床效率，在睡醒状态时，可以控制环境负离子浓度为总负离子浓度8000～9000个/CM3小粒径负离子浓度为5000～6000个/CM3。其中，所述用户为睡醒状态的检测，可以通过检测是否处于极度深睡眠状态之后，且用户的头动次数大于20次/30分钟，或者还包括头在枕头上的变换位置次数大于或等于20次/30分钟时，用户处于睡醒状态。当然，还可以通过脑电波检测用户是否为睡醒状态。
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5为本申请实施例提供的一种基于负离子浓度的睡眠动态修复装置的结构示意图，详述如下：
所述基于负离子浓度的睡眠动态修复装置，包括：
历史数据获取单元501，用于获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
负离子浓度调整时间点确定单元502，用于根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
负离子浓度调整单元503，用于在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
优选的，所述第一睡眠状态为有睡意状态、浅睡状态、轻睡状态、深睡状态或极度深睡状态。
优选的，所述第一睡眠状态的确定因素包括用户的头部在枕头上头动频率。
优选的，当所述头动频率处于第一频率范围时，用户处于轻睡状态；
当所述头动频率处于第二频率范围时，用户处于深睡状态；
当所述头动频率处于第三频率范围时，用户处于极度深睡眠状态；
其中，第一频率范围的频率、第二频率范围的频率、第三频率范围的频率依次减小。
优选的，所述用户处于轻睡眠状态时，对应的用户头部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，对应的第一负离子浓度为：总负离子浓度为8000-12000个/立方厘米，小粒径负离子浓度为5000-8000个/立方厘米；
当所述用户处于深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
当所述用户处于极度深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为15000-20000个/立方厘米，小粒径负离子浓度为12000-15000个/立方厘米；
其中，所述小粒径负离子为迁移率小于0.04cm2/(V`s)。
优选的，所述历史数据获取单元包括：
时间点获取子单元，用于获取当前时间之前的第一预定时段内的用户进入第一睡眠状态的时间点；
权值确定子单元，用于根据获取的时间点与当前时间的间隔时长确定权值，与当前时间的间隔时长越短，权值越高；
计算子单元，用于根据获取的时间点以及对应的权值，计算得到第一睡眠状态所对应的第一时间点。
优选的，所述装置还包括：
第二预定时长确定单元，用于根据用户睡眠修复的反馈结果，确定与用户相适宜的第二预定时长。
图5所述基于负离子浓度的睡眠状态修复装置，与图1所述的基于负离子浓度的睡眠状态修复方法对应，在此不作重复赘述。
图6是本申请一实施例提供的基于负离子浓度的睡眠动态修复设备的示意图。如图6所示，该实施例的基于负离子浓度的睡眠动态修复设备6包括：处理器60、存储器61以及存储在所述存储器61中并可在所述处理器60上运行的计算机程序62，例如基于负离子浓度的睡眠动态修复程序。所述处理器60执行所述计算机程序62时实现上述各个基于负离子浓度的睡眠动态修复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60执行所述计算机程序62时实现上述各装置实施例中各模块/单元的功能，例如图5所示模块501至503的功能。
示例性的，所述计算机程序62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61中，并由所述处理器60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62在所述基于负离子浓度的睡眠动态修复设备6中的执行过程。例如，所述计算机程序62可以被分割成历史数据获取单元、负离子浓度调整时间点确定单元和负离子浓度调整单元，各单元具体功能如下：
历史数据获取单元，用于获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
负离子浓度调整时间点确定单元，用于根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
负离子浓度调整单元，用于在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
所述基于负离子浓度的睡眠动态修复设备6可以直接设置于床上用品设置中，通过。所述基于负离子浓度的睡眠动态修复设备可包括，但不仅限于，处理器60、存储器61。本领域技术人员可以理解，图6仅仅是基于负离子浓度的睡眠动态修复设备6的示例，并不构成对基于负离子浓度的睡眠动态修复设备6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，例如所述基于负离子浓度的睡眠动态修复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60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61可以是所述基于负离子浓度的睡眠动态修复设备6的内部存储单元，例如基于负离子浓度的睡眠动态修复设备6的内存。所述存储器61也可以是所述基于负离子浓度的睡眠动态修复设备6的外部存储设备，例如所述基于负离子浓度的睡眠动态修复设备6上配备的智能存储卡（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61还可以既包括所述基于负离子浓度的睡眠动态修复设备6的内部存储单元也包括外部存储设备。所述存储器61用于存储所述计算机程序以及所述基于负离子浓度的睡眠动态修复设备所需的其他程序和数据。所述存储器61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 (16)

  1. 一种基于负离子浓度的睡眠动态修复方法，其特征在于，所述方法包括：
    获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
    根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
    在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
  2. 根据权利要求1所述的基于负离子浓度的睡眠动态修复方法，其特征在于，所述第一睡眠状态为轻睡状态、深睡状态或极度深睡状态。
  3. 根据权利要求2所述的基于负离子浓度的睡眠状态修复方法，其特征在于，所述第一睡眠状态的确定因素包括用户的头部在枕头上头动频率。
  4. 根据权利要求3所述的基于负离子浓度的睡眠状态修复方法，其特征在于，当所述头动频率处于第一频率范围时，用户处于轻睡状态；
    当所述头动频率处于第二频率范围时，用户处于深睡状态；
    当所述头动频率处于第三频率范围时，用户处于极度深睡眠状态；
    其中，第一频率范围的频率、第二频率范围的频率、第三频率范围的频率依次减小。
  5. 根据权利要求2所述的基于负离子浓度的睡眠状态修复方法，其特征在于，所述用户处于轻睡眠状态时，对应的用户头部在同一区域的头动频率为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，对应的第一负离子浓度为：总负离子浓度为8000-12000个/立方厘米，小粒径负离子浓度为5000-8000个/立方厘米；
    当所述用户处于深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
    当所述用户处于极度深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为15000-20000个/立方厘米，小粒径负离子浓度为12000-15000个/立方厘米；
    其中，所述小粒径负离子为迁移率小于0.04cm2/(V`s)。
  6. 根据权利要求1所述的基于负离子浓度的睡眠状态修复方法，其特征在于，所述获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系的步骤包括：
    获取当前时间之前的第一预定时段内的用户进入第一睡眠状态的时间点；
    根据获取的时间点与当前时间的间隔时长确定权值，与当前时间的间隔时长越短，权值越高；
    根据获取的时间点以及对应的权值，计算得到第一睡眠状态所对应的第一时间点。
  7. 根据权利要求1所述的基于负离子浓度的睡眠状态修复方法，其特征在于，所述方法还包括：
    根据用户睡眠修复的反馈结果，确定与用户相适宜的第二预定时长。
  8. 一种基于负离子浓度的睡眠动态修复装置，其特征在于，所述装置包括：
    历史数据获取单元，用于获取用户当前时间之前的第一预定时段内的第一睡眠状态与第一时间点的对应关系；
    负离子浓度调整时间点确定单元，用于根据所述第一睡眠状态与第一时间点的对应关系确定负离子浓度调整时间点，所述负离子浓度调整时间点为当天的第一时间点之前的第二预定时长的起点所对应时间点；
    负离子浓度调整单元，用于在所述负离子浓度调整时间点，将用户所在场景的负离子浓度调整为第一睡眠状态所对应的第一负离子浓度。
  9. 根据权利要求8所述的基于负离子浓度的睡眠动态修复装置，其特征在于，所述第一睡眠状态为轻睡状态、深睡状态或极度深睡状态。
  10. 根据权利要求2所述的基于负离子浓度的睡眠状态修复装置，其特征在于，所述第一睡眠状态的确定因素包括用户的头部在枕头上头动频率。
  11. 根据权利要求10所述的基于负离子浓度的睡眠状态修复装置，其特征在于，当所述头动频率处于第一频率范围时，用户处于轻睡状态；
    当所述头动频率处于第二频率范围时，用户处于深睡状态；
    当所述头动频率处于第三频率范围时，用户处于极度深睡眠状态；
    其中，第一频率范围的频率、第二频率范围的频率、第三频率范围的频率依次减小。
  12. 根据权利要求9所述的基于负离子浓度的睡眠状态修复装置，其特征在于，
    所述用户处于轻睡眠状态时，对应的用户头部在同一区域的头动频率为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，对应的第一负离子浓度为：总负离子浓度为8000-12000个/立方厘米，小粒径负离子浓度为5000-8000个/立方厘米；
    当所述用户处于深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为12000-15000个/立方厘米，小粒径负离子浓度为8000-10000个/立方厘米；
    当所述用户处于极度深睡眠状态时，对应的用户的头部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，对应的第一负离子浓度为：总负离子浓度为15000-20000个/立方厘米，小粒径负离子浓度为12000-15000个/立方厘米；
    其中，所述小粒径负离子为迁移率小于0.04cm2/(V`s)。
  13. 根据权利要求8所述的基于负离子浓度的睡眠状态修复装置，其特征在于，所述历史数据获取单元包括：
    时间点获取子单元，用于获取当前时间之前的第一预定时段内的用户进入第一睡眠状态的时间点；
    权值确定子单元，用于根据获取的时间点与当前时间的间隔时长确定权值，与当前时间的间隔时长越短，权值越高；
    时间点计算子单元，用于根据获取的时间点以及对应的权值，计算得到第一睡眠状态所对应的第一时间点。
  14. 根据权利要求8所述的基于负离子浓度的睡眠状态修复装置，其特征在于，所述装置还包括：
    第二预定时长确定子单元，用于根据用户睡眠修复的反馈结果，确定与用户相适宜的第二预定时长。
  15. 一种基于负离子浓度的睡眠动态修复设备，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7任一项所述基于负离子浓度的睡眠动态修复方法的步骤。
  16. 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7任一项所述基于负离子浓度的睡眠动态修复方法的步骤。
PCT/CN2018/100436 2018-07-20 2018-08-14 一种基于负离子浓度的睡眠动态修复方法、装置及设备 WO2020015034A1 (zh)

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