Method and system for improving circadian rhythm and sleep quality

Abstract

The invention relates to the technical field of health management and sleep optimization, and discloses a circadian rhythm and sleep quality improvement method and system, and the basic steps are as follows: 1) calculating a steady-state sleep pressure value at the current time based on the daily behavior activity, physiological parameters and sleep characteristics of a user; 2) calculating a user circadian rhythm value based on illumination and an activity rhythm of the user; 3) calculating a circadian rhythm sleep sufficiency index based on the steady-state sleep pressure value and the circadian rhythm value, wherein the circadian rhythm sleep sufficiency index is used for evaluating the matching degree of user sleep and circadian rhythm; 4, a sleep improvement suggestion is given on the basis of the steady-state sleep pressure value, the circadian rhythm value and / or the circadian rhythm sleep sufficiency index. Through the implementation of the method and device, a user can comprehensively know the matching condition of the sleep mode and the circadian rhythm of the user, the sleep mode is scientifically improved, and the circadian rhythm stability and the sleep health level are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of health management and sleep optimization, and in particular to a method and system for improving circadian rhythm and sleep quality. Background Art

[0002] With the development of health management technology, more and more studies have shown that sleep patterns and circadian rhythms have an important impact on human health. Sleep quality not only affects physiological functions (such as the immune system and endocrine regulation), but also plays a key role in cognitive function, emotional stability and metabolic health. However, due to changes in modern lifestyles, such as irregular work and rest, the widespread use of electronic devices, and increased work pressure, many people face problems of sleep disorders or circadian rhythm disorders. Studies have shown that optimizing individual sleep requires comprehensive consideration of the following two factors: first, sleep homeostatic pressure, which reflects the accumulation and release process of people's sleep needs, is closely related to sleep time and sleep depth; second, circadian rhythm, which is controlled by the endogenous biological clock and regulated by light, behavioral patterns and environmental factors. How to effectively monitor and optimize these key factors through scientific methods has become a research hotspot in the field of health management.

[0003] In the existing technology, the research and application of health management and sleep optimization are mainly concentrated in the following directions: 1) Sleep monitoring technology based on wearable devices, such as Apple Watch, Huawei Watch and sports bracelets, infers the user's sleep stage and time by detecting parameters such as movement, heart rate or blood oxygen saturation. Although these devices can capture the general sleep trend more accurately, it is difficult to fully analyze the interactive relationship between circadian rhythm and sleep homeostasis. 2) Sleep research based on multimodal data, such as using multimodal data such as heart rate variability (HRV) and electroencephalogram (EEG) to analyze individual sleep structure and its response to circadian rhythm. However, these methods usually rely on complex sensing equipment (such as polysomnography) and are difficult to be widely used in daily health management. In the existing technology, although there are some personalized health management platforms (such as Huawei Health) that provide personalized health suggestions through user data and machine learning models, most of them rely on user subjective feedback and cannot directly capture the specific physiological indicators of sleep and circadian rhythm.

[0004] It can be seen that although the existing technology has made certain progress, it still has the following shortcomings: First, the limitation of data collection. The current technology mostly relies on contact sensors (such as wearable devices or polysomnography), which may cause discomfort to users or interfere with normal sleep; and the role of contactless data (such as ambient light, behavioral patterns) in sleep optimization has not been fully explored. Secondly, the comprehensive analysis of circadian rhythm and sleep homeostasis is missing. Existing methods often focus on a single indicator (such as sleep duration or heart rate variability) and fail to fully combine the interactive mechanism of circadian rhythm and sleep homeostasis. In addition, the scientific nature of personalized suggestions is insufficient. Most health management platforms on the market rely on simple algorithms, and it is difficult to provide accurate personalized suggestions based on users' multimodal data. Finally, the applicability in practical applications is insufficient. Sleep monitoring based on complex equipment is difficult to popularize. Current technologies are mostly focused on clinical research rather than application scenarios that adapt to users' daily lives. Summary of the invention

[0005] The purpose of the present invention is to provide a sleep pattern analysis method based on steady-state sleep pressure calculation and circadian rhythm calculation, which calculates the circadian rhythm sleep adequacy of the user by comprehensively analyzing the user's physiological and behavioral data, provides the user with scientific sleep optimization suggestions, helps the user improve sleep patterns and promote overall health, and thus solves one or more technical problems existing in the prior art, and at least provides a beneficial choice or creates conditions.

[0006] To achieve the above objectives, the present invention adopts the following technical solutions.

[0007] A method for improving circadian rhythm and sleep quality, the steps of which are as follows: 1) calculating a steady-state sleep pressure value at the current time based on a user's daily behavioral activities, physiological parameters, and sleep characteristics; 2) calculating a user's circadian rhythm value based on light and the user's activity rhythm; 3) calculating a circadian rhythm sleep adequacy index based on the steady-state sleep pressure value and the circadian rhythm value, the circadian rhythm sleep adequacy index being used to evaluate the degree of matching between the user's sleep and the circadian rhythm; 4) providing sleep improvement suggestions based on the steady-state sleep pressure value, the circadian rhythm value and / or the circadian rhythm sleep adequacy index.

[0008] More preferably, the method for calculating the steady-state sleep pressure value is as follows: .

[0009] In the formula, HSP t represents the steady-state sleep pressure at the current time; H0 represents the initial sleep pressure value; t wake represents the duration of wakefulness; SQ represents the quality of sleep last night; SQ opt Represents ideal sleep quality; sleep Represents the sleep duration of the previous night; A tRepresents the user's physical activity intensity on that day; E t Represents emotional stress level; D t represents the frequency or distribution of physical activity; α, β, k, λ, γ, θ, δ, η, and ω are adjustment coefficients used to adjust the weight or sensitivity of individual factors.

[0010] More preferably, the calculation method of the circadian rhythm value is as follows: .

[0011] In the formula, CR represents the circadian rhythm value, which is used to quantify the synchronization state of the biological clock; ψ represents the circadian rhythm amplitude, which indicates the intensity of rhythm fluctuation; t represents the current time; t ideal represents the ideal rhythm time point; Q represents the circadian rhythm cycle, which is 24 hours; f(V, W, X) is the influencing factor function, which is used to comprehensively evaluate the regulatory effects of light, work and rest patterns and individual characteristics on circadian rhythm.

[0012] .

[0013] Where V is the light intensity; W is the actual work and rest time; t ideal is the ideal work and rest time; X is the individual characteristic; a, b, c are adjustment coefficients, which control the influence weights of light, work and rest rules and individual characteristics; p and q are power parameters, which are used to adjust the nonlinear influence of deviation.

[0014] More preferably, the calculation method of the circadian rhythm sleep adequacy index is as follows: ; CSS stands for circadian sleep adequacy, ranging from 0 to 1; CR is the circadian rhythm value; HSP is the steady-state sleep pressure value, which indicates the intensity of the user's sleep need; ρ is the adjustment coefficient, which is used to adjust the sensitivity between circadian rhythm and sleep pressure; the higher the CSS value, the more closely the user's circadian rhythm and sleep pressure match.

[0015] More preferably, the daily behavior activities are generated based on measurement data of an acceleration sensor.

[0016] More preferably, the physiological parameter is generated based on measurement data of a heart rate sensor.

[0017] More preferably, the sleep improvement suggestions include one or more of lighting adjustment suggestions, work and rest time suggestions, and morning repair suggestions.

[0018] More preferably, the sleep improvement suggestions include rest and nap reminders, and when the steady-state sleep pressure value exceeds a set threshold, the user is reminded to rest.

[0019] More preferably, the sleep improvement suggestions include personalized adjustment suggestions for work and rest routines, and diet and hormone regulation suggestions.

[0020] On the other hand, the present invention also provides a circadian rhythm and sleep quality improvement system, which is used to implement a circadian rhythm and sleep quality improvement method as described above, the system includes a data acquisition module, a steady-state sleep pressure calculation module, a circadian rhythm analysis module, a circadian rhythm sleep adequacy calculation module and an optimization suggestion generation module; the data acquisition module is used to collect light intensity, user's daily behavior activities, physiological parameters and sleep characteristics; the steady-state sleep pressure calculation module is used to calculate the steady-state sleep pressure value, the circadian rhythm analysis module is used to calculate the circadian rhythm value, the circadian rhythm sleep adequacy calculation module is used to calculate the circadian rhythm sleep adequacy index, and the optimization suggestion generation module is used to generate and output sleep improvement suggestions.

[0021] The present invention adopts the above technical solution to have at least the following beneficial effects.

[0022] 1. The present invention obtains a circadian sleep adequacy index based on steady-state sleep pressure calculation and circadian rhythm calculation, and then gives sleep improvement suggestions based on the steady-state sleep pressure value, circadian rhythm value and / or circadian sleep adequacy index, thereby solving the problem of insufficient analysis of the interaction between sleep patterns and circadian rhythms in the prior art, scientifically quantifying sleep status, and providing a more accurate assessment of user health.

[0023] 2. The present invention can make personalized optimization suggestions based on the user's actual data, including specific sleep suggestions, including lighting adjustment, improvement of activity regularity, and optimization of work and rest time, to help users gradually establish more scientific work and rest habits.

[0024] 3. The present invention can dynamically adapt and continuously optimize. The system can dynamically capture changes in user status and adjust the optimization plan in real time to ensure that the recommendations are highly timely and targeted.

[0025] In summary, through the implementation of the present invention, users can fully understand the matching of their sleep patterns with circadian rhythms, scientifically improve their sleep patterns, and enhance circadian rhythm stability and sleep health. The present invention provides a new technical means for personalized sleep management, has broad application prospects, and is particularly suitable for smart health devices and personalized health management platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Shown is a schematic diagram of a method for improving circadian rhythm and sleep quality in one embodiment of the present invention.

[0027] Figure 2 FIG. 4 is a schematic diagram of a method for improving circadian rhythm and sleep quality in another embodiment of the present invention. DETAILED DESCRIPTION

[0028] The following is a further description of the specific implementation of the present invention in conjunction with the drawings of the specification, so that the technical solution and its beneficial effects of the present invention are clearer and more explicit. The following description of the embodiments with reference to the drawings is exemplary and intended to explain the present invention, but cannot be understood as limiting the present invention.

[0029] Additional aspects and advantages of the present invention will become apparent from the following description or may be learned by practice of the present invention. Example

[0030] A method for improving circadian rhythm and sleep quality, the basic steps of which are as follows: 1) Based on the user's daily behavioral activities (such as light exposure, physical activity level), physiological parameters (such as heart rate, diet, etc.) and sleep characteristics (such as sleep duration and sleep efficiency), a quantitative model of steady-state sleep pressure is established to accurately measure the user's sleep need state; 2) Combined with the dynamic calculation method of the user's circadian rhythm, through in-depth analysis of data such as light and activity rhythm, the impact of circadian rhythm on sleep patterns is quantified; 3) Using the comprehensive analysis results of steady-state sleep pressure and circadian rhythm, the circadian rhythm sleep adequacy index is calculated to evaluate the degree of matching between the user's sleep and circadian rhythm, and generate targeted optimization suggestions.

[0031] A circadian rhythm and sleep quality improvement system is used to implement the above method, which includes a data acquisition module, a steady-state sleep pressure calculation module, a circadian rhythm analysis module, a circadian rhythm sleep adequacy calculation module and an optimization suggestion generation module. The modules work together to achieve scientific evaluation and optimization of the user's sleep pattern.

[0032] The data acquisition module is used to collect multi-dimensional data of users, including parameters such as light intensity, daily activity level, emotional stress, and sleep efficiency. These data are acquired in real time through hardware sensors (such as light sensors, activity trackers, and heart rate sensors) to provide high-quality data support for subsequent analysis. For example: light intensity is monitored by light sensors to analyze light interference with circadian rhythms; activity trackers record user exercise intensity and activity frequency to quantify the impact of physical activity on sleep; heart rate sensors collect user heart rate variability (HRV) to assess the interference of emotional stress on sleep.

[0033] The collected multi-dimensional data is transmitted to the steady-state sleep pressure calculation module, which combines the user's daily behavior patterns and sleep characteristic data to accurately calculate the sleep pressure accumulation, deep sleep recovery effect and pressure release rate through the following formula.

[0034] .

[0035] Among them, HSP t Represents the homeostatic sleep pressure at the current time.

[0036] H0 represents the initial sleep pressure value (eg, the lowest value in the early morning).

[0037] t wake Represents the duration of wakefulness.

[0038] SQ represents the quality of sleep during the previous night (such as the proportion of deep sleep).

[0039] SQ opt Represents ideal sleep quality (such as the recommended percentage of deep sleep time).

[0040] T sleep Represents the sleep duration of the previous night.

[0041] A t Represents the intensity of the user's physical activity on that day.

[0042] E t Represents emotional stress level, calculated through HRV (heart rate variability) data.

[0043] D t Represents the frequency or distribution of physical activity.

[0044] α, β, k, λ, γ, θ, δ, η, and ω are all adjustment coefficients used to adjust the weight or sensitivity of individual factors.

[0045] Parameters in the formula such as awake time t wake , sleep quality SQ dynamically reflects the user's sleep demand status, thereby achieving scientific quantification of steady-state sleep pressure.

[0046] The circadian rhythm analysis module analyzes the stability and phase matching of circadian rhythms by deeply processing light and activity data and combining it with the user's circadian rhythm signals. This module quantifies the impact of light levels on biological clock synchronization through the following circadian rhythm formula.

[0047] .

[0048] Among them, CR represents the circadian rhythm value, which is used to quantify the synchronization state of the biological clock.

[0049] ψ represents the circadian rhythm amplitude, which indicates the strength of the rhythm fluctuation.

[0050] t represents the current time.

[0051] t ideal Represents an ideal rhythmic timing (such as a recommended time to fall asleep or wake up).

[0052] Q represents the circadian rhythm cycle, which is usually 24 hours.

[0053] f(V, W, X) is the influencing factor function, which is used to comprehensively evaluate the regulatory effects of light, work and rest patterns, and individual characteristics on circadian rhythm.

[0054] .

[0055] V is the light intensity (lux), recorded by the light sensor.

[0056] W is the actual sleep and rest time (such as the time of falling asleep or waking up).

[0057] t ideal For the ideal rest time.

[0058] X is an individual characteristic (such as age, lifestyle).

[0059] a, b, and c are adjustment coefficients that control the influence weights of light, work and rest patterns, and individual characteristics.

[0060] p, q are power parameters used to adjust the nonlinear effect of the deviation.

[0061] f(V, W, X) integrates the effects of light levels, work and rest patterns, and age on circadian rhythms. It can identify potential circadian rhythm disorders in users, such as rhythm phase delays or confusion, and provide rhythm correlation analysis results for subsequent calculations.

[0062] The circadian sleep adequacy calculation module generates the circadian sleep adequacy index CSS by integrating the steady-state sleep pressure and circadian rhythm analysis results. CSS quantitatively evaluates the degree of match between the user's sleep and circadian rhythm through the following formula.

[0063] .

[0064] CSS stands for circadian sleep adequacy and ranges from 0 to 1.

[0065] CR is the circadian rhythm value.

[0066] HSP stands for homeostatic sleep pressure, which indicates the intensity of the user's sleep need.

[0067] ρ is the adjustment coefficient, which is used to adjust the sensitivity between circadian rhythm and sleep pressure.

[0068] The higher the CSS value, the more closely the user's circadian rhythm and sleep pressure match. CSS is used to assess the user's current sleep and circadian rhythm health level, providing a scientific basis for subsequent optimization recommendations.

[0069] The optimization suggestion generation module generates a personalized sleep optimization plan based on the analysis results of CSS indicators, HSP and CR, and user historical data. The optimization suggestions include lighting adjustment, activity rhythm optimization, and work and rest time suggestions.

[0070] like Figure 1 As shown, it is an application of the present invention in the general population. The circadian rhythm sleep adequacy calculation module can output the rhythmic sleep adequacy score and give an analysis report based on the score; the waking and sleeping time suggestions calculate the optimal waking and sleeping times according to the user's parameters (historical data simulation and smart device collection); daily activity planning plans the user's optimal work and exercise time according to the rhythm; light management reminds the user to increase natural light exposure at the appropriate time, and recommends reducing blue light exposure at night to optimize the sleeping environment; rest and nap reminders remind the user to rest when sleep pressure reaches its peak to avoid reduced work efficiency.

[0071] For example, in one embodiment, the scoring results output by the circadian rhythm sleep adequacy calculation module are: HSP=0.8, CR=0.4, CSS=0.3. HSP=0.8 indicates that the user is currently in a state of high sleep pressure, which may be caused by long-term wakefulness, emotional stress or low sleep quality. CR=0.4 indicates circadian rhythm disorder, indicating that the biological clock is greatly disturbed (such as excessive light at night or irregular work and rest). CSS=0.3 means that the sleep state is less matched with the circadian rhythm, and comprehensive adjustments to the work and rest and environment are required. Based on these scores, optimization suggestions can be provided, including the following: Light adjustment: It is recommended to reduce blue light exposure at night, turn off electronic devices before going to bed, or use night eye protection mode. Work and rest suggestions: It is recommended to fall asleep as soon as possible and ensure at least 7 hours of rest. Morning repair: Increase natural light exposure (at least 30 minutes) the next morning to help the biological clock resynchronize.

[0072] Optimization suggestions can help users improve their circadian rhythm and sleep quality, and gradually establish scientific work and rest habits. The entire system can dynamically adapt to changes in user status, continuously optimize the content of suggestions, and achieve efficient health monitoring and intervention without interfering with users' daily lives.

[0073] Reference Figure 2 As shown, it is an application of the present invention in shift workers. In addition to outputting the rhythmic sleep adequacy score, the circadian rhythm sleep adequacy calculation module also provides the following suggestions to meet the needs of shift workers, such as light rhythm planning, which guides users to increase light intensity at night to delay sleep by monitoring light intensity, and reminds users to reduce light during the day; real-time sleep pressure monitoring, when the HSP value shows a high sleep pressure state, it is recommended that users take short rests (such as deep breathing, short meditation) to reduce stress levels; personalized adjustment of work and rest routines, non-linear work and rest adjustment suggestions, nap arrangement suggestions; diet and hormone regulation, including liquid crystal caffeine intake and time planning, daytime melatonin suggestions, etc.

[0074] The product structure of the present invention can be embedded in an intelligent health management platform or wearable device. The hardware part mainly includes light sensors, acceleration sensors, and heart rate sensors, etc. The software part integrates the core algorithms for data collection, analysis, and optimization suggestion generation, and can process multi-dimensional data in real time to generate intuitive analysis reports and sleep suggestions. The present invention provides users with a scientific and convenient sleep management method with good practicality and broad application prospects.

[0075] The core innovation of the present invention is that through a series of mathematical models and formulas, the steady-state sleep pressure and circadian rhythm are accurately calculated, and a circadian sleep adequacy calculation method based on the two is proposed. The steady-state sleep pressure formula comprehensively considers multidimensional factors such as wakefulness, sleep quality, emotional stress and physical activity, and dynamically reflects the state of sleep demand; the circadian rhythm formula is centered on light level, work and rest pattern and circadian rhythm phase, and quantitatively describes the user's circadian rhythm fluctuation and stability; the circadian rhythm and sleep pressure interactive analysis formula quantitatively analyzes the relationship between the two, revealing the impact of circadian rhythm on sleep recovery and stability; the circadian rhythm sleep adequacy formula comprehensively quantifies the degree of matching between sleep pattern and rhythm through a comprehensive analysis of steady-state sleep pressure and circadian rhythm. These formulas are not only innovative in theory, but also generate personalized health suggestions including light adjustment, work and rest time optimization and daily activity planning through a complete set of optimization suggestion generation mechanisms, combined with the user's historical data and real-time status, to help users gradually improve their sleep patterns and circadian rhythms, and significantly improve their application value in sleep analysis and health management. These methods and formulas constitute the technical protection focus of the present invention and have important theoretical value and broad practical application prospects.

[0076] It should be noted that the adjustment coefficients and power parameters in each formula are empirical values ​​or experimental values, and may have different values ​​for different groups of people; the determination and adjustment of the adjustment coefficient values ​​and power parameter values ​​are common technical knowledge mastered by technical personnel in this field and will not be elaborated here.

[0077] It should also be noted that in the present invention, the logic and / or steps described, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0078] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0079] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0080] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0081] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for improving circadian rhythm and sleep quality, characterized in that: Here are the steps: 1) Calculate the current steady-state sleep pressure value based on the user's daily activities, physiological parameters, and sleep characteristics; 2) Calculate the user's circadian rhythm value based on light and the user's activity rhythm; 3) The circadian rhythm sleep adequacy index is calculated based on the steady-state sleep pressure value and the circadian rhythm value. The circadian rhythm sleep adequacy index is used to evaluate the degree of matching between the user's sleep and the circadian rhythm; 4) Provide sleep improvement recommendations based on homeostatic sleep pressure values, circadian rhythm values, and / or circadian sleep adequacy indicators.

2. A method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The calculation method of the steady-state sleep pressure value is as follows: ； In the formula, HSP t represents the homeostatic sleep pressure at the current time; H0 represents the initial sleep pressure value; t wake Represents the duration of wakefulness; SQ represents the sleep quality of the previous night; SQ opt Represents ideal sleep quality; t sleep Represents the sleep duration of the previous night; A t Represents the user's physical activity intensity on that day; E t Represents emotional stress level; D t represents the frequency or distribution of physical activity; α, β, k, λ, γ, θ, δ, η, and ω are all adjustment coefficients used to adjust the weight or sensitivity of individual factors.

3. A method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The calculation method of the circadian rhythm value is as follows: ； In the formula, CR represents the circadian rhythm value, which is used to quantify the synchronization state of the biological clock; ψ represents the circadian amplitude, indicating the strength of the rhythm fluctuation; t represents the current time; t ideal represents the ideal rhythm timing point; Q represents the circadian rhythm cycle, which is 24 hours; f(V, W, X) is the influencing factor function, which is used to comprehensively evaluate the regulatory effects of light, work and rest patterns, and individual characteristics on circadian rhythm; ； V is the light intensity; W is the actual work and rest time; t ideal For the ideal sleep and rest time; X is an individual characteristic; a, b, and c are adjustment coefficients, which control the influence weights of light, work and rest patterns, and individual characteristics; p, q are power parameters used to adjust the nonlinear effect of the deviation.

4. The method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The calculation method of the circadian rhythm sleep adequacy index is as follows: ； CSS stands for circadian sleep adequacy, with a value range from 0 to 1; CR is the circadian rhythm value; HSP is the steady-state sleep pressure value, which indicates the intensity of the user's sleep need; ρ is the adjustment coefficient, which is used to adjust the sensitivity between circadian rhythm and sleep pressure; A higher CSS value indicates that the user's circadian rhythm is more closely matched to their sleep pressure.

5. The method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The daily behavior activities are generated based on measurement data of an acceleration sensor.

6. A method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The physiological parameters are generated based on measurement data of a heart rate sensor.

7. The method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The sleep improvement suggestions include one or more of lighting adjustment suggestions, work and rest time suggestions, and morning recovery suggestions.

8. The method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The sleep improvement suggestions include rest and nap reminders, and when the steady-state sleep pressure value exceeds a set threshold, the user is reminded to rest.

9. The method for improving circadian rhythm and sleep quality according to claim 1, characterized in that: The sleep improvement suggestions include personalized adjustments to work and rest routines, and diet and hormone regulation suggestions.

10. A circadian rhythm and sleep quality improvement system, characterized in that: Used to implement a circadian rhythm and sleep quality improvement method as described in any one of claims 1 to 9, the system includes a data acquisition module, a steady-state sleep pressure calculation module, a circadian rhythm analysis module, a circadian rhythm sleep adequacy calculation module and an optimization suggestion generation module; the data acquisition module is used to collect light intensity, user's daily behavior activities, physiological parameters and sleep characteristics; the steady-state sleep pressure calculation module is used to calculate the steady-state sleep pressure value, the circadian rhythm analysis module is used to calculate the circadian rhythm value, the circadian rhythm sleep adequacy calculation module is used to calculate the circadian rhythm sleep adequacy index, and the optimization suggestion generation module is used to generate and output sleep improvement suggestions.

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