Sleep adjusting method and device, electronic equipment and storage medium

Abstract

The invention provides a sleep adjusting method and device, electronic equipment and a storage medium, the method comprises: acquiring physiological perception data, scheduling information and illumination information of a user, the scheduling information comprising night shift arrangement information and rest day arrangement information, and the illumination information comprising individual photosensitive difference information and illumination exposure history; determining initial peak time of melatonin secretion according to a preset melatonin secretion rule and night shift arrangement information; phase change information is determined based on a preset melatonin secretion rule, the individual photosensitive difference information and the illumination exposure history, and predicted peak time is determined according to the phase change information and the initial peak time; determining a wake-up strategy according to the physiological perception data, the rest day arrangement information and the predicted peak time, wherein the wake-up strategy comprises actual wake-up time and target control start time of at least one preset wake-up cooperation function; the sleep effect can be naturally and mildly optimized, and the sleepiness feeling after waking up is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sleep regulation, and in particular to a sleep regulation method and device, an electronic device and a storage medium. BACKGROUND

[0002] In-vehicle sleep assistance is usually dominated by playing audio, such as playing white noise, natural sound effects (such as rain, ocean waves, bird songs, etc.) or sleep-inducing guide audio to help users relax and fall asleep. In addition, there are some additional ways, such as seat comfort adjustment, in-vehicle temperature control, air purification, etc. However, these methods also have certain limitations. Some users may prefer a pure quiet environment and do not like any sound, such as those working in a noisy environment or night shift workers, and the selection and setting of audio must be personalized, otherwise the effect may not be good. The audio sleep-aiding method cannot fully meet the needs of all users. Audio is more helpful for users to fall asleep, but it cannot provide continuous assistance throughout the sleep process, nor can it effectively manage the multiple stages of night sleep, especially when waking up, it cannot directly help adjust alertness or handle fatigue. Night shift work causes the individual's biological clock to be out of sync with the natural day-night cycle. At night, the body should be in a rest mode, but due to the need for work, the body remains active, leading to long-term sleep deprivation and physiological fatigue. Due to the long-term inability of night shift workers to obtain sufficient rest or sleep, their reaction speed, attention concentration, judgment and decision-making ability are greatly reduced after the end of the night shift, thereby reducing the alertness of vehicle driving and easily causing traffic accidents. In addition, after night shift work, especially without sufficient rest, night shift workers often drive directly, which increases their risk of fatigue and drowsiness during driving. Studies have shown that fatigue driving is more likely to cause traffic accidents than drunk driving, and the consequences may be more serious.

[0003] In related technologies, audio sleep-aiding is mostly static and does not make dynamic adjustments according to the individual's biological rhythm, health status or emotional fluctuations, lacking personalized adjustment functions; each individual's sleep needs, comfort feelings and sensitivity to sound are different, and it is impossible to perfectly adapt to each individual; during the sleep process, the generated audio is dependent, so once the audio stops or the environment changes, it may affect the natural transition of falling asleep or waking up; in the deep sleep stage, the presence of audio may disturb the user's relaxed state, especially when the audio is too abrupt or the volume fluctuates greatly, which has an adverse effect on the deep sleep cycle of users who are easily disturbed by sound. SUMMARY

[0004] The present application provides a sleep regulation method, device, electronic device and storage medium to solve the technical problem that audio sleep-aiding cannot be personalized and managed throughout the sleep process.

[0005] The application provides a sleep regulation method, which comprises the following steps: acquiring physiological sensing data of a user, shift information and illumination information, wherein the shift information comprises night shift arrangement information and rest day arrangement information, and the illumination information comprises individual light sensitivity difference information and illumination exposure history; determining an initial peak time of melatonin secretion according to a preset melatonin secretion rule and the night shift arrangement information; determining phase change information based on the preset melatonin secretion rule, the individual light sensitivity difference information and the illumination exposure history, and determining a predicted peak time according to the phase change information and the initial peak time; and determining a wake-up strategy according to the physiological sensing data, the rest day arrangement information and the predicted peak time, wherein the wake-up strategy comprises an actual wake-up time and a target control start time of at least one preset wake-up coordination function.

[0006] In an embodiment of the application, the illumination exposure history comprises historical illumination parameters of a plurality of illumination intervention time windows; the determination of the phase change information based on the preset melatonin secretion rule, the individual light sensitivity difference information and the illumination exposure history comprises: determining an illumination intervention coefficient of each illumination intervention time window according to each historical illumination parameter; determining an illumination sensitivity coefficient of each illumination intervention time window based on a phase response standard deviation, a standard peak time and each illumination intervention time window; determining a phase change amount of each illumination intervention time window according to an individual sensitivity coefficient of each illumination intervention time window, the illumination sensitivity coefficient and the illumination intervention coefficient; and determining the phase change amounts of the illumination intervention time windows as the phase change information; wherein the phase response standard deviation and the standard peak time are obtained based on the preset melatonin secretion rule, and the individual sensitivity coefficient is obtained based on the individual light sensitivity difference information and the illumination intervention time window.

[0007] In an embodiment of the application, the determination of the illumination intervention coefficient of each illumination intervention time window according to each historical illumination parameter comprises: determining a first intervention coefficient according to a preset first weight coefficient and an illumination intensity; determining a second intervention coefficient based on a preset second weight coefficient and a blue light proportion; and determining the illumination intervention coefficient of the illumination intervention time window according to the first intervention coefficient and the second intervention coefficient; wherein the historical illumination parameters comprise the illumination intensity and the blue light proportion.

[0008] In an embodiment of the present application, the wake-up strategy further comprises a new predicted peak time, and the determination of the actual wake-up time and the new predicted peak time comprises: if there is a preset wake-up time, determining a first light intervention parameter according to a preset peak wake-up duration, the preset wake-up time and the predicted peak time, to adjust the predicted peak time to obtain the new predicted peak time; if there is no preset wake-up time, determining an initial wake-up time according to the preset peak wake-up duration, the predicted peak time and the rest day arrangement information; determining the preset wake-up time or the initial wake-up time as a target wake-up time; adjusting the target wake-up time according to the physiological perception data to obtain the actual wake-up time.

[0009] In an embodiment of the present application, the determination of the first light intervention parameter according to the preset peak wake-up duration, the preset wake-up time and the predicted peak time comprises: determining a controlled peak time according to the preset peak wake-up duration and the preset wake-up time; determining the first light intervention parameter according to the difference between the controlled peak time and the predicted peak time, and the individual light sensitivity difference information and the preset melatonin secretion rule.

[0010] In an embodiment of the present application, the adjustment of the target wake-up time according to the physiological perception data to obtain the actual wake-up time comprises: if the monitoring low-to-high frequency power ratio of heart rate is greater than a preset low-to-high frequency power ratio, waking up in advance by a preset first time duration to obtain a first correction value; if the body movement frequency is greater than a preset first frequency threshold, delaying the wake-up by a preset second time duration to obtain a second correction value; adjusting the target wake-up time according to the first correction value and / or the second correction value to obtain the actual wake-up time; wherein the monitoring low-to-high frequency power ratio of heart rate and the body movement frequency are obtained based on the physiological perception data.

[0011] In an embodiment of the present application, the determination of the target control start time comprises: if the preset wake-up coordination function is a light coordination function, determining a first control start time according to a preset third time duration before the actual wake-up time, to perform dawn simulation according to a preset light intervention parameter and the first control start time; if the preset wake-up coordination function is a multi-modal coordinated stimulation function, determining a second control start time based on a preset fourth time duration before the actual wake-up time, the multi-modal coordinated stimulation function comprising at least one of a seat vibration stimulation function and an in-vehicle temperature stimulation function; if the preset wake-up coordination function is a cognitive activation function, determining a third control start time according to a preset fifth time duration after the actual wake-up time; wherein the target control start time of the at least one preset wake-up coordination function comprises at least one of the first control start time, the second control start time and the third control start time.

[0012] The present application provides a sleep regulation device, comprising: an information acquisition module, configured to acquire physiological perception data of a user, shift information and illumination information, the shift information comprising night shift arrangement information and rest day arrangement information, the illumination information comprising individual light sensitivity difference information and illumination exposure history; an initial peak time determination module, configured to determine an initial peak time of melatonin secretion according to a preset melatonin secretion rule and the night shift arrangement information; a predicted peak time determination module, configured to determine phase change information based on the preset melatonin secretion rule, the individual light sensitivity difference information and the illumination exposure history, and determine a predicted peak time according to the phase change information and the initial peak time; and a wake-up strategy determination module, configured to determine a wake-up strategy according to the physiological perception data, the rest day arrangement information and the predicted peak time, the wake-up strategy comprising an actual wake-up time and a target control start time of at least one preset wake-up coordination function.

[0013] The present application provides an electronic device, comprising: one or more processors; a storage device, configured to store one or more programs, when the one or more programs are executed by the one or more processors, the electronic device is caused to implement the steps of the sleep regulation method according to any one of the above embodiments.

[0014] The present application also provides a computer readable storage medium, having a computer program stored thereon, when the computer program is executed by a processor of a computer, the computer is caused to execute the steps of the sleep regulation method according to any one of the above embodiments.

[0015] The present application has the following beneficial effects: the sleep regulation method, device, electronic device and storage medium provided by the present application can determine the predicted peak time of a user according to the night shift arrangement information and the illumination information, so as to determine the wake-up strategy, maximize the synchronization with the biological rhythm of the individual, optimize the sleep effect, help to wake up smoothly, avoid being woken up in the deep sleep stage, reduce the drowsiness after waking up, and compared with the simple audio sleep aid, the present application is more natural and gentle, and avoids the interference or dependence caused by the single audio sleep aid. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and serve to explain the principles of the present application. It is apparent that the accompanying drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0017] In the drawings: Figure 1A schematic diagram of an exemplary system architecture provided in an embodiment of the present application; Figure 2 A flowchart of a sleep regulation method provided in an embodiment of the present application; Figure 3 A block diagram of a sleep regulation device provided in an embodiment of the present application; Figure 4 A structural schematic diagram of a computer system of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The present application is described in detail below with specific reference to particular embodiments. Those of ordinary skill in the art will readily recognize that the application can be practiced with the elements recited in the description without resorting to the details discussed in the following description. Those skilled in the art will further recognize that the application can be practiced with a variety of alternative methods, materials, and apparatuses without departing from the spirit and scope of the application. Accordingly, the following detailed description is not intended to limit the scope of the application as described herein.

[0019] It should be noted that the drawings provided in the following embodiments are only schematic and are not drawn to scale. They are merely intended to facilitate the description of the basic nature of the present application. The drawings in the present description are only intended to simplify the component number, shape and size in the drawings and the actual implementation of each component can be arbitrarily changed. Moreover, the layout pattern of the components can be more complex.

[0020] In the following description, numerous specific details are discussed in order to provide a thorough understanding of the embodiments of the present application. However, those skilled in the art will recognize that the embodiments of the present application can be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the embodiments of the present application.

[0021] Please refer to Figure 1 , Figure 1 A schematic diagram of an exemplary system architecture provided in an embodiment of the present application. As shown in Figure 1 , the system architecture can include a biosensor 110 and a vehicle 120. The biosensor 110 includes a wearable electronic watch for monitoring physiological sensing data and transmitting to the vehicle 120 to obtain a wake-up strategy.

[0022] Exemplarily, the vehicle 120 acquires physiological perception data of a user, shift information, and light information, the shift information including night shift arrangement information and rest day arrangement information, and the light information including individual light sensitivity difference information and light exposure history; determines an initial peak time of melatonin secretion according to a preset melatonin secretion rule and the night shift arrangement information; determines phase change information based on the preset melatonin secretion rule, the individual light sensitivity difference information, and the light exposure history, and determines a predicted peak time according to the phase change information and the initial peak time; and determines a wake-up strategy including an actual wake-up time and a target control start time of at least one preset wake-up coordination function according to the physiological perception data, the rest day arrangement information, and the predicted peak time.

[0023] In the related art, audio sleep assistance cannot be personalized and managed throughout the sleep.

[0024] To solve the above technical problems, the present application provides a sleep regulation method, device, electronic equipment and storage medium, and the implementation details of the technical solutions of the embodiments of the present application are described in detail below.

[0025] Please refer to Figure 2 , Figure 2 The flowchart of the sleep regulation method provided in an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, in an exemplary embodiment, the sleep regulation method includes at least steps S210 to S240, which are described in detail as follows. Figure 2 Step S210, acquiring physiological perception data of a user, shift information, and light information.

[0026] The shift information includes night shift arrangement information and rest day arrangement information, and the light information includes individual light sensitivity difference information and light exposure history.

[0027] In an embodiment of the present application, the night shift arrangement information includes a night shift period and a number of consecutive night shifts. The night shift period is, for example, 22:00 to 6:00.

[0028] In an embodiment of the present application, the individual light sensitivity difference information includes age, light sensitivity genotype, and past sleep log. The light sensitivity genotype includes PER3 (Period Circadian Protein 3) genotype of light sensitivity, and the past sleep log includes sleep-in time and wake-up time.

[0029] Step S220, determining an initial peak time of melatonin secretion according to a preset melatonin secretion rule and the night shift arrangement information.

[0030] ​In an embodiment of the present application, the preset melatonin secretion rule includes normal rhythm, night shift interference, and cumulative effect of continuous night shift. The normal rhythm generally starts to secrete melatonin 1-2 hours after sunset, starts to secrete melatonin at about 20:00-22:00, reaches a peak at 2:00-4:00 in the morning, and rapidly decreases after sunrise. The night shift interference: exposure to artificial light sources such as blue light 480 nanometers (nm) during night work inhibits melatonin secretion, resulting in a phase delay, with an average delay of 2-3 hours per day. The cumulative effect of continuous night shift includes a phase delay rate and a melatonin peak shift; the phase of the circadian rhythm is delayed by about 6-9 hours for every 3 consecutive night shifts; if the night shift time is 22:00-6:00, the peak is delayed to 8:00 on the first day, and to 12:00 on the third day, so the forced sleep time needs to be 8:00-16:00.

[0031] In an embodiment of the present application, for example, after the first night shift, the initial peak time is determined to be 8:00; and after the third night shift, the initial peak time is determined to be 12:00.

[0032] In step S230, the phase change information is determined based on the preset melatonin secretion rule, the individual light sensitivity difference information, and the light exposure history, and the predicted peak time is determined according to the phase change information and the initial peak time.

[0033] In an embodiment of the present application, the light exposure history includes historical light parameters of a plurality of light intervention time windows; the phase change information is determined based on the preset melatonin secretion rule, the individual light sensitivity difference information, and the light exposure history, including: determining a light intervention coefficient of each light intervention time window according to each historical light parameter; determining a light sensitivity coefficient of each light intervention time window based on a phase response standard deviation, a standard peak time, and the light intervention time window; determining a phase change amount of each light intervention time window according to the individual sensitivity coefficient, the light sensitivity coefficient, and the light intervention coefficient of the light intervention time window; and determining the phase change amounts of the light intervention time windows as the phase change information; wherein the phase response standard deviation and the standard peak time are obtained based on the preset melatonin secretion rule, and the individual sensitivity coefficient is obtained based on the individual light sensitivity difference information and the light intervention time window.

[0034] In an embodiment of the present application, the historical light parameters include the light intensity (unit: lux, lx), the color temperature (unit: Kelvin, K), and the blue light ratio (unit: %) in the vehicle or the working environment.

[0035] In an embodiment of the present application, the phase change amount is determined by a phase response curve (PRC) model, and the determination of the phase change amount is as follows: Formula (1) wherein, is a phase change amount, is an individual sensitivity coefficient, is a light sensitivity coefficient, is a light intervention time window, is a standard peak time, is a phase response standard deviation.

[0036] In an embodiment of the present application, the individual sensitivity coefficient is obtained based on individual light sensitivity difference information and the light intervention time window to represent the light sensitivity effect. For example, the PER3 genotype enhances the delay effect in the phase delay area and enhances the advance effect in the phase advance area.

[0037] In an embodiment of the present application, the positive and negative of the individual sensitivity coefficient is determined based on the light intervention time window in the phase delay area or the phase advance area.

[0038] In an embodiment of the present application, the phase delay area is from 22:00 to 3:00, and the phase advance area is from 6:00 to 9:00.

[0039] In an embodiment of the present application, the phase change amount is measured by the phase change per hour. Wherein, the positive value of the phase change amount represents the delay of melatonin secretion, and the negative value represents the advance of melatonin secretion.

[0040] In an embodiment of the present application, the light intervention coefficient is used to represent the weighted value of the light intensity and the blue light proportion.

[0041] In an embodiment of the present application, the light intervention coefficient of each light intervention time window is determined according to each historical light parameter, comprising: determining a first intervention coefficient according to a preset first weight coefficient and the light intensity; determining a second intervention coefficient based on a preset second weight coefficient and the blue light proportion; determining the light intervention coefficient of the light intervention time window according to the first intervention coefficient and the second intervention coefficient; wherein the historical light parameter comprises the light intensity and the blue light proportion.

[0042] In an embodiment of the present application, the light sensitivity coefficient is determined as follows: Formula (2) Wherein, is a light sensitivity coefficient, is a preset first weight coefficient, is a light intensity, is a preset second weight coefficient, is a blue light proportion.

[0043] In an embodiment of the present application, the preset first weight coefficient may be set to 0.5, and the preset second weight coefficient is set to 0.5. In an embodiment of the present application, for example, a user is exposed to 500 lx blue light at 2:00 a.m., the proportion of blue light is 30%, the individual sensitivity coefficient is 0.8, the standard peak time is 3, and the phase response standard deviation is 2. Then, the phase change amount corresponding to 2:00 a.m. is as follows: Equation (3) In step S240, the wake-up strategy is determined according to the physiological perception data, the rest day arrangement information, and the predicted peak time.

[0044] The wake-up strategy includes an actual wake-up time and a target control start time of at least one preset wake-up coordination function.

[0045] In an embodiment of the present application, the physiological perception data can also be obtained by non-contact heart rate monitoring of a millimeter wave radar in the vehicle, with an error of ±2 beats per minute (BPM).

[0046] In an embodiment of the present application, the wake-up strategy is used to control the functional system in the vehicle to smoothly wake up the user, naturally and gently optimize the sleep effect, and reduce the feeling of drowsiness after waking up.

[0047] In an embodiment of the present application, the wake-up strategy further includes a new predicted peak time, and the determination of the actual wake-up time and the new predicted peak time includes: if there is a preset wake-up time, determining a first light intervention parameter according to a preset peak wake-up duration, the preset wake-up time, and the predicted peak time to adjust the predicted peak time to obtain the new predicted peak time; if there is no preset wake-up time, determining an initial wake-up time according to the preset peak wake-up duration, the predicted peak time, and the rest day arrangement information; determining the preset wake-up time or the initial wake-up time as a target wake-up time; and adjusting the target wake-up time according to the physiological perception data to obtain the actual wake-up time.

[0048] In an embodiment of the present application, the preset wake-up time can be actively set by the user or predefined by the functional system in the vehicle.

[0049] In an embodiment of the present application, the preset peak wake-up duration is used to represent a time interval after the predicted peak time for wake-up operation. For example, the preset peak wake-up duration is set to 2 hours, and if the predicted peak time is 12:00, the target wake-up time is determined to be 14:00.

[0050] ​​​​In an embodiment of the present application, the ideal wake-up time is 30 minutes after the melatonin secretion drops to the daytime baseline, which is less than 5 picograms per milliliter (pg / mL). The preset peak wake-up duration is set according to the relationship between the ideal wake-up time, the time of the daytime baseline of the melatonin secretion, and the predicted peak time.

[0051] In an embodiment of the present application, the first light intervention parameter is determined according to the preset peak wake-up duration, the preset wake-up time, and the predicted peak time, including: determining a controlled peak time according to the preset peak wake-up duration and the preset wake-up time; and determining the first light intervention parameter according to the difference between the controlled peak time and the predicted peak time, the individual light sensitivity difference information, and the preset melatonin secretion rule.

[0052] In an embodiment of the present application, if the difference between the preset wake-up time and the predicted peak time is less than the preset peak wake-up duration, the light intervention is performed according to the determined first light intervention parameter, so that the melatonin secretion reaches the peak value in advance.

[0053] In an embodiment of the present application, the first light intervention parameter is determined based on formulas (1) and (2), and the light sensitivity effect corresponding to the light intervention time window.

[0054] In an embodiment of the present application, the light system in the vehicle is controlled by the first light intervention parameter to adjust the melatonin secretion.

[0055] In an embodiment of the present application, the light system includes a full-spectrum light emitting diode (LED) matrix, which has a color temperature adjustment range of 2700K to 6500K and a blue light filtering accuracy of ±5 nanometers (nm).

[0056] In an embodiment of the present application, the target wake-up time is adjusted according to the physiological perception data to obtain an actual wake-up time, including: if the monitoring low-to-high frequency power ratio of the heart rate is greater than a preset low-to-high frequency power ratio, the wake-up time is advanced by a preset first duration to obtain a first correction value; if the body movement frequency is greater than a preset first frequency threshold, the wake-up time is delayed by a preset second duration to obtain a second correction value; and the target wake-up time is adjusted according to the first correction value and / or the second correction value to obtain the actual wake-up time; wherein the monitoring low-to-high frequency power ratio of the heart rate and the body movement frequency are obtained based on the physiological perception data.

[0057] In an embodiment of the present application, the monitoring low-to-high frequency power ratio of the heart rate is obtained by heart rate variability (HRV) during sleep, that is, the ratio between the low frequency power and the high frequency power is obtained by HRV; the preset low-to-high frequency power ratio is set to 3 to represent active sympathetic nerves, and the preset first duration is 20 minutes, so that the wake-up time is advanced by 20 minutes.

[0058] In an embodiment of the present application, the body movement frequency is used to represent the number of times of turning over; the preset second threshold is set to 10 times / hour, and the preset second time length is 30 minutes, so as to delay the wake-up for 30 minutes.

[0059] In an embodiment of the present application, the actual wake-up time and the initial wake-up time are both subject to the rest day arrangement information.

[0060] In an embodiment of the present application, the determination of the target control start time comprises: if the preset wake-up coordination function is the light coordination function, determining a first control start time according to a preset third time length before the actual wake-up time, so as to perform the dawn simulation according to a preset light intervention parameter and the first control start time; if the preset wake-up coordination function is the multi-modal coordinated stimulation function, determining a second control start time based on a preset fourth time length before the actual wake-up time, the multi-modal coordinated stimulation function comprising at least one of the seat vibration stimulation function and the in-vehicle temperature stimulation function; if the preset wake-up coordination function is the cognitive activation function, determining a third control start time according to a preset fifth time length after the actual wake-up time; wherein the target control start time of the at least one preset wake-up coordination function comprises at least one of the first control start time, the second control start time and the third control start time.

[0061] In an embodiment of the present application, the at least one preset wake-up coordination function comprises at least one of the light coordination function, the multi-modal coordinated stimulation function and the cognitive activation function, so as to adjust the sleep environment, to naturally and gently optimize the sleep effect, and to reduce the feeling of drowsiness after waking up.

[0062] In an embodiment of the present application, the preset third time length is 60 minutes, and the preset light intervention parameter is used to represent the parameter of the dawn simulation light, such as starting the dawn simulation light 60 minutes before the wake-up.

[0063] In an embodiment of the present application, the preset light intervention parameter comprises the color temperature control, the light intensity control and the spectrum control. The color temperature control comprises linearly increasing the color temperature from a preset first color temperature threshold to a preset second color temperature threshold; for example, the preset first color temperature threshold is 2700K, the preset second color temperature threshold is 5000K, and the gradient is 50K / minute. The light intensity control comprises increasing the light intensity from a preset first light intensity threshold to a preset second light intensity threshold; for example, the preset first light intensity threshold is 10lx, the preset second light intensity threshold is 300lx, and the gradient is 5lx / minute. The spectrum control comprises filtering out the blue light in a preset wavelength range to suppress the melatonin rebound, and the preset wavelength range is less than 460nm.

[0064] In an embodiment of the present application, the seat vibration stimulation function comprises gradually increasing the seat vibration frequency from a preset second frequency threshold to a preset third frequency threshold; for example, the preset second frequency threshold is 5 Hertz (Hz), the preset third frequency threshold is 20 Hz, and the increasing speed is 5 Hz per 5 minutes.

[0065] In an embodiment of the present application, the in-vehicle temperature stimulation function is used to simulate a body temperature rising curve, such as increasing the air conditioning temperature from a preset first temperature threshold to a preset second temperature threshold; for example, the preset first temperature threshold is 22 degrees Celsius (℃), the preset second temperature threshold is 26℃, and the increasing speed is 0.5℃ / minute.

[0066] In an embodiment of the present application, the preset fifth time length can be set to 30 seconds or 1 minute, so as to start executing the cognitive activation function after delaying 30 seconds or 1 minute after executing the wake-up function at the actual wake-up time.

[0067] In an embodiment of the present application, the preset fifth time length can also be set to 0 seconds, so as to start executing the cognitive activation function at the same time as executing the wake-up function at the actual wake-up time.

[0068] In an embodiment of the present application, the preset sixth time length is used to represent the execution time length of the cognitive activation function; for example, the cognitive activation function comprises playing high-intensity cognitive training audio for a preset sixth time length. Wherein, the preset sixth time length can be set to 2 minutes, and the high-intensity cognitive training audio comprises speed calculation questions.

[0069] In an embodiment of the present application, the present application combines the individual's biological rhythm, especially the preset melatonin secretion rule, to provide a more accurate and personalized sleep intervention scheme than audio sleep assistance. The biological rhythm of each individual is different, and the present application dynamically adjusts the light and sleep environment to maximize synchronization with the individual's biological rhythm and optimize sleep effect. For night shift workers, melatonin secretion can be predicted and adjusted according to their night shift arrangement information, and high-quality sleep can be obtained at non-traditional sleep time through light and sleep environment adjustment. Melatonin is secreted by the pineal gland and is closely related to light. By accurately predicting the timing of melatonin secretion, appropriate light stimulation can be provided at the appropriate time point, such as using bright blue or white light, to promote the inhibition of melatonin and improve daytime alertness; and mild low light or red light is provided at night to promote melatonin secretion and help fall asleep. Dynamic light adjustment can simulate the changes of natural light at different time stages, effectively help adjust the biological clock, and avoid circadian rhythm disorders. Dynamic adjustment of actual wake-up time based on individual biological rhythm and sleep stage can wake up individuals at the best time, avoid disturbing deep sleep, and reduce drowsiness after waking up. Traditional alarm clocks usually ring at fixed times, which may interrupt the individual's deep sleep and cause fatigue and drowsiness. By dynamically adjusting melatonin secretion and actual wake-up time, night shift workers and other groups can still obtain sufficient deep sleep and rapid eye movement sleep (REM) at non-traditional time periods, thereby improving overall sleep quality.

[0070] In an embodiment of the present application, the present application predicts the timing information of melatonin secretion according to night shift arrangement information to determine the optimal wake-up time, i.e., the target wake-up time. And the target wake-up time is adjusted by multiple parameters to obtain the actual wake-up time; through multi-modal stimulation synergy and adjusting the color temperature of light, the vehicle can simulate the changes of natural light, help smooth wake-up, and be more natural and gentle than pure audio sleep assistance, avoiding the interference or dependence that may be caused by single audio sleep assistance.

[0071] Please refer to Figure 3 , Figure 3 is a block diagram of a sleep regulation device provided in an embodiment of the present application. The device can be applied to the implementation environment shown in Figure 1 , and specifically configured in the vehicle 120. The device can also be applied to other exemplary implementation environments and specifically configured in other devices, and the present embodiment does not limit the implementation environment to which the device is applied.

[0072] As shown in Figure 3 , the sleep regulation device 300 according to an embodiment of the present application comprises an information acquisition module 310, an initial peak time determination module 320, a predicted peak time determination module 330, and a wake-up strategy determination module 340.

[0073] The information acquisition module 310 is configured to acquire physiological perception data of a user, shift information, and illumination information, the shift information including night shift arrangement information and rest day arrangement information, and the illumination information including individual light sensitivity difference information and illumination exposure history. The initial peak time determination module 320 is configured to determine an initial peak time of melatonin secretion according to a preset melatonin secretion rule and the night shift arrangement information. The predicted peak time determination module 330 is configured to determine phase change information based on the preset melatonin secretion rule, the individual light sensitivity difference information, and the illumination exposure history, and determine a predicted peak time according to the phase change information and the initial peak time. The wake-up strategy determination module 340 is configured to determine a wake-up strategy according to the physiological perception data, the rest day arrangement information, and the predicted peak time, the wake-up strategy including an actual wake-up time and a target control start time of at least one preset wake-up coordination function.

[0074] It should be noted that the sleep adjustment apparatus provided in the above embodiments and the sleep adjustment method provided in the above embodiments belong to the same concept, and the specific manner in which each module and unit performs operations has been described in detail in the method embodiments, which will not be described here. The sleep adjustment apparatus provided in the above embodiments can be used in actual applications, and the above functions can be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the functions described above, and this is not limited herein.

[0075] Embodiments of the present application also provide an electronic device, including: one or more processors; a storage device configured to store one or more programs, when the one or more programs are executed by the one or more processors, the electronic device implements the sleep adjustment method provided in each of the above embodiments.

[0076] Please refer to Figure 4 , Figure 4 is a structural schematic diagram of a computer system of an electronic device provided in an embodiment of the present application. Figure 4 The computer system 400 of the electronic device shown is only an example, and should not limit the functions and use range of the embodiments of the present application.

[0077] As Figure 4As shown, the computer system 400 includes a central processing unit 401, which can perform various suitable actions and processes in accordance with programs stored in a read-only memory 402 or loaded from the storage section 408 into a random access memory 403, such as performing the methods in the above-described embodiments. Various programs and data required for the operation of the system are also stored in the random access memory 403. The central processing unit 401, the read-only memory 402, and the random access memory 403 are connected to each other through a bus 404. An input / output interface 405 is also connected to the bus 404.

[0078] Connected to the input / output interface 405 are an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the input / output interface 405 as necessary. A removable media 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 410 as necessary, so that a computer program read therefrom is installed in the storage section 408 as necessary.

[0079] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program in accordance with embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 409, and / or installed from the removable media 411. When the computer program is executed by the central processing unit 401, various functions defined in the system of the present application are performed.

[0080] The computer readable medium shown in the embodiments of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, be an electronic, magnetic, optical, electromagnetic, infrared or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, in which a computer readable computer program is carried. Such a propagated data signal can take on various forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium other than the computer readable storage medium, which can send, propagate or transmit a program for use by or in connection with an instruction execution system, apparatus or device. The computer program contained on the computer readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, or the like, or any suitable combination of the above.

[0081] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In the flowcharts or block diagrams, each block can represent a module, a program segment or a part of code containing one or more executable instructions for implementing the specified logic function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different order than that shown in the drawings. For example, two blocks that are shown in succession can actually be executed substantially in parallel, and they can also be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams or flowcharts, and the combination of blocks in the block diagrams or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0082] The units described in the embodiments of the present application can be implemented in the form of software, or can be implemented in the form of hardware, and the described units can also be arranged in a processor. In some cases, the names of the units do not constitute a limitation on the units themselves. Therefore, the technical solutions according to the embodiments of the present application can be embodied in the form of a software product, and the software product can be stored in a nonvolatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.) or a network, and includes a plurality of instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0083] Another aspect of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor of a computer, causes the computer to perform the sleep adjustment method provided in each of the above embodiments. The computer-readable storage medium can be included in the electronic device described in the above embodiments, or can exist separately and not be assembled into the electronic device.

[0084] In the above embodiments, unless otherwise specified, the common objects are described by using the ordinal numbers such as "first" and "second", which only indicate different instances of the same object, and do not mean that the described objects must be in a given order, whether in time, space, sequence or any other manner.

[0085] The above embodiments only exemplarily illustrate the principles and effects of the present application, and are not used to limit the present application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical ideas disclosed by the present application should still be covered by the claims of the present application.

Claims

1. A sleep regulation method, characterized in that, The method includes: Acquire users' physiological perception data, shift information, and light exposure information. The shift information includes night shift arrangements and rest day arrangements. The light exposure information includes individual photosensitivity differences and light exposure history. The initial peak time of melatonin secretion is determined based on the preset melatonin secretion pattern and the night shift schedule information; Phase change information is determined based on the preset melatonin secretion pattern, the individual photosensitivity difference information, and the light exposure history, and the predicted peak time is determined based on the phase change information and the initial peak time; A wake-up strategy is determined based on the physiological perception data, the rest day arrangement information, and the predicted peak time. The wake-up strategy includes the actual wake-up time and the target control start time of at least one preset wake-up coordination function.

2. The sleep regulation method according to claim 1, characterized in that, The light exposure history includes historical light parameters for multiple light intervention time windows; The determination of phase change information based on the preset melatonin secretion pattern, the individual photosensitivity differences, and the light exposure history includes: The illumination intervention coefficient for each illumination intervention time window is determined based on each of the historical illumination parameters. Each light sensitivity coefficient is determined based on the standard deviation of the phase response, the standard peak time, and each light intervention time window. The phase change of each light intervention time window is determined based on the individual sensitivity coefficient of each light intervention time window, the light sensitivity coefficient, and the light intervention coefficient; The phase change amount of each of the aforementioned illumination intervention time windows is determined as phase change information; The phase response standard deviation and the standard peak time are obtained based on the preset melatonin secretion pattern, and the individual sensitivity coefficient is obtained based on the individual photosensitivity difference information and the light intervention time window.

3. The sleep regulation method according to claim 2, characterized in that, The step of determining the illumination intervention coefficient for each illumination intervention time window based on each of the historical illumination parameters includes: The first intervention coefficient is determined based on the preset first weighting coefficient and the light intensity; The second intervention coefficient is determined based on a preset second weighting coefficient and the blue light ratio; The illumination intervention coefficient of the illumination intervention time window is determined based on the first intervention coefficient and the second intervention coefficient; The historical illumination parameters include the illumination intensity and the blue light ratio.

4. The sleep regulation method according to claim 1, characterized in that, The wake-up strategy also includes a new predicted peak time, and the determination of the actual wake-up time and the new predicted peak time includes: If a preset wake-up time exists, the first illumination intervention parameter is determined based on the preset peak wake-up duration, the preset wake-up time, and the predicted peak time, so as to adjust the predicted peak time and obtain the new predicted peak time. If there is no preset wake-up time, the initial wake-up time is determined based on the preset peak wake-up duration, the predicted peak time, and the rest day arrangement information. The preset wake-up time or the initial wake-up time is determined as the target wake-up time; The target wake-up time is adjusted based on the physiological perception data to obtain the actual wake-up time.

5. The sleep regulation method according to claim 4, characterized in that, The step of determining the first light intervention parameter based on the preset peak wake-up duration, the preset wake-up time, and the predicted peak time includes: The peak time to be controlled is determined based on the preset peak wake-up duration and the preset wake-up time. The first light intervention parameters are determined based on the difference between the controlled peak time and the predicted peak time, as well as the individual photosensitivity differences and the preset melatonin secretion pattern.

6. The sleep regulation method according to claim 4, characterized in that, The step of adjusting the target wake-up time based on the physiological perception data to obtain the actual wake-up time includes: If the ratio of low-frequency to high-frequency power in heart rate monitoring is greater than the preset low-frequency to high-frequency power ratio, then wake up for a preset first duration in advance to obtain the first correction value. If the body movement frequency is greater than a preset first frequency threshold, the wake-up time is delayed for a preset second duration to obtain a second correction value; The target wake-up time is adjusted according to the first correction value and / or the second correction value to obtain the actual wake-up time; The heart rate monitoring low-frequency to high-frequency power ratio and the body movement frequency are obtained based on the physiological perception data.

7. The sleep regulation method according to any one of claims 1-6, characterized in that, The determination of the target control start time includes: If the preset wake-up coordination function is a light coordination function, then the first control start time is determined according to the preset third duration before the actual wake-up time, so as to perform dawn simulation according to the preset light intervention parameters and the first control start time; If the preset wake-up coordination function is a multimodal synergistic stimulation function, then the second control start time is determined based on the preset fourth duration before the actual wake-up time. The multimodal synergistic stimulation function includes at least one of the seat vibration stimulation function and the in-vehicle temperature stimulation function. If the preset wake-up coordination function is a cognitive activation function, then the third control start time is determined according to the preset fifth duration after the actual wake-up time; The target control start time of the at least one preset wake-up coordination function includes at least one of the first control start time, the second control start time, and the third control start time.

8. A sleep regulation device, characterized in that, The device includes: The information acquisition module is used to acquire the user's physiological perception data, shift information and light exposure information. The shift information includes night shift arrangement information and rest day arrangement information. The light exposure information includes individual photosensitivity difference information and light exposure history. The initial peak time determination module is used to determine the initial peak time of melatonin secretion based on the preset melatonin secretion pattern and the night shift schedule information. The peak time prediction module is used to determine phase change information based on the preset melatonin secretion pattern, the individual photosensitivity difference information, and the light exposure history, and to determine the predicted peak time based on the phase change information and the initial peak time. The wake-up strategy determination module is used to determine a wake-up strategy based on the physiological perception data, the rest day arrangement information and the predicted peak time. The wake-up strategy includes the actual wake-up time and the target control start time of at least one preset wake-up coordination function.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the sleep regulation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by the computer's processor, causes the computer to perform the sleep regulation method according to any one of claims 1 to 7.

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