Mattress supporting performance self-adaptive adjusting method based on pressure comfort and mattress

Abstract

The invention belongs to the technical field of bedding, and discloses a mattress supporting performance self-adaptive adjusting method based on pressure comfort and a mattress, the method is applied to a mattress provided with a pressure detection assembly and an air pressure adjusting assembly, and the method comprises the following steps: obtaining pressure index data and sleep quality data of each partition of a body; calculating a pressure comfort comprehensive value of each partition of the body based on each pressure index data of each partition of the body; based on the intermediary factors influencing the sleep quality, constructing a correlation model of the pressure comfort comprehensive value of each partition of the body and the sleep quality; real-time data of pressure indexes of all the partitions of the body are obtained, the real-time sleep quality is calculated through the correlation model, and based on the real-time sleep quality and a preset sleep quality threshold value, the air pressure of the mattress areas corresponding to all the partitions of the body is independently adjusted at the same time. The overall comfort is defined by calculating the comprehensive value of the pressure comfort of each partition of the body, the overall dynamic balance adjustment of the supporting performance of the mattress is realized by utilizing a correlation model, and the overall supporting performance unbalance caused by local adjustment is avoided.

Description

Technical Field

[0001] This invention belongs to the field of bedding technology, specifically relating to a mattress support adaptive adjustment method and mattress based on pressure comfort. Background Technology

[0002] Airbag and pneumatic spring technology is one of the most widely used technologies in the field of adaptive mattresses. Its core lies in achieving precise zoned support through independently controllable air pressure units. These systems typically consist of a rectangular array of multiple pneumatic units. Each unit includes an airbag, an internal spring, an air intake system controlled by a solenoid valve, and a pressure sensor. When the pressure sensor detects the pressure distribution across different parts of the body, the control system independently adjusts the air pressure of each pneumatic unit, thereby achieving adaptive support for users of different weights and body shapes to meet their individual support needs.

[0003] Existing technologies rely on the absolute magnitude of pressure in different areas of the body when making adaptive adjustments. For example, when monitoring data shows that the pressure in the buttocks is too high, the system will reduce the air pressure value of the buttock pneumatic unit to improve the pressure on the buttocks by reducing the support; or when the user sets the "frozen shoulder" label, the system will automatically reduce the pressure in the shoulder area.

[0004] While the human body can be divided into different areas such as shoulders, waist, hips, and legs based on physiological structure, the human body is a complex machine where changes in one part affect the whole. Making independent adjustments to each area individually, while ignoring the dynamic balance of human biomechanics, makes it difficult to achieve truly comfortable support. For example, when the system reduces air pressure in the hips to relieve pressure in that area, it may lead to insufficient support for the lumbar spine, resulting in compensatory tension in the lower back muscles. Similarly, excessively reducing pressure on the shoulders may force the cervical spine into an abnormal curvature, which in the long run can worsen symptoms of frozen shoulder. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a mattress support adaptive adjustment method and mattress based on pressure comfort. It calculates the comprehensive pressure comfort value of each body zone using data from multiple pressure indicators, and constructs a quantitative correlation model between the comprehensive pressure comfort value of each body zone and sleep quality through mediating factors. This achieves global dynamic balance adjustment of mattress support. The method provided by this invention defines overall comfort by calculating the comprehensive pressure comfort value of each body zone, effectively solving the problem of global support imbalance caused by traditional mattress support adjustment that only uses a single pressure indicator for local adjustment. This effectively improves overall comfort and sleep quality.

[0006] This invention provides the following technical solution: The first objective of this invention is to provide a mattress support adaptive adjustment method based on pressure comfort, applied to a mattress, wherein the mattress is provided with a pressure detection component and an air pressure adjustment component, and the method includes: Acquire pressure index data for each zone of the body and sleep quality data under various air pressure modes of the mattress; The overall comfort value of each body zone is calculated based on the pressure index data of each zone under different mattress pressure modes; Based on the mediating factors affecting sleep quality, a correlation model was constructed between the comprehensive stress comfort value of different body regions and sleep quality. The pressure detection component acquires real-time pressure data for each area of ​​the body. Based on this data, a correlation model is used to calculate real-time sleep quality. Then, based on the real-time sleep quality and a preset sleep quality threshold, the air pressure of the mattress area corresponding to each area of ​​the body is independently adjusted simultaneously using the air pressure regulation component.

[0007] This method calculates the overall pressure comfort value for each body zone using data from multiple pressure indicators. A correlation model is constructed between this overall pressure comfort value and sleep quality through mediating factors. In actual use, the correlation model is used to predict sleep quality based on real-time data, and the air pressure in each area of ​​the mattress is independently adjusted based on the prediction results. The method defines overall comfort by calculating the overall pressure comfort value for each body zone and uses the correlation model to achieve global dynamic balance adjustment of mattress support, avoiding global support imbalance caused by local adjustments. This can meet the personalized needs of users, effectively improve user experience, and enhance sleep quality.

[0008] As a further improvement of the present invention, the calculation of the comprehensive pressure comfort value of each body zone based on the pressure index data of each body zone under each air pressure mode of the mattress includes: Calculate the weight of each pressure index for each body region with respect to the overall pressure comfort value of that region, and calculate the overall pressure comfort value for each body region based on the weights.

[0009] As a further improvement of the present invention, the calculation of the weights of each pressure index of each body region with respect to the overall pressure comfort value of that region includes: For each body zone, the pressure index data of each body zone under each air pressure mode of the mattress are standardized. Based on the standardized data, a correlation matrix was calculated between the pressure index data of each body zone under each air pressure mode of the mattress. An initial weight matrix is ​​set, and the initial weight matrix is ​​iteratively optimized based on the correlation matrix to obtain an iteratively optimized weight matrix. The weight matrix contains the weights of each pressure index of the body zone to the overall pressure comfort value of the body zone.

[0010] Each pressure index represents a different aspect of mattress comfort, and these indices not only have independent components but also overlapping parts. Using a single index to represent mattress comfort may lead to significant errors. Furthermore, the degree to which each pressure index affects the comfort of different body zones varies. Therefore, by calculating the weights of each pressure index for each zone and then calculating the comprehensive pressure comfort value for each zone based on these weights, the comprehensive pressure comfort value can more comprehensively and accurately reflect the synergistic impact of different pressure indices on the comfort of each zone. This improves the rationality of the comprehensive pressure comfort value for each body zone and provides a scientific quantitative basis for the subsequent construction of correlation models.

[0011] As a further improvement of this invention, the stopping condition for the iterative optimization of the weight matrix is ​​that the vector distance between the weight matrices obtained in two consecutive iterations is less than a preset threshold. This ensures the convergence of the weight matrix iteration, avoids deviations caused by insufficient iterations, and prevents overfitting and waste of computational resources caused by excessive iterations, thus achieving a balance between weight accuracy and computational efficiency.

[0012] As a further improvement of the present invention, the method for constructing a correlation model between the comprehensive pressure comfort value of each body region and sleep quality based on mediating factors affecting sleep quality includes: Construct a correlation model between the comprehensive stress comfort values ​​of different body regions and mediating factors affecting sleep quality; The dispersion of the comprehensive pressure comfort value of each body region is calculated, and a correlation model is constructed between sleep quality and mediating factors affecting sleep quality, as well as the dispersion of the comprehensive pressure comfort value of each body region, to achieve a quantitative mapping between the comprehensive pressure comfort value of each body region and sleep quality.

[0013] As a further improvement of the present invention, the correlation model between the comprehensive pressure comfort value of each body region and the mediating factors affecting sleep quality is expressed as follows:

[0014] The dispersion of the overall pressure comfort value for each body region is expressed as follows:

[0015] The correlation model between sleep quality and mediating factors affecting sleep quality, as well as the dispersion of the comprehensive stress comfort value of different body regions, is expressed as follows:

[0016] in, As a mediating factor, For the body Overall pressure comfort value for each zone For the body The weighting of the overall stress comfort value for each zone This represents the average value of the overall pressure comfort level across different body regions. For sleep quality, The weight of mediating factors on sleep quality, The weighting of the dispersion of the overall pressure comfort value of different body regions on sleep quality. and All are constants.

[0017] In the pathway of pressure comfort affecting sleep quality, pressure comfort is the antecedent factor, and sleep quality is the outcome factor, with a series of mediating factors such as muscle fatigue, body movement angle, and number of body movements playing a role. Based on sample data, this study first links the relationship between pressure comfort and mediating factors. Then, it quantifies the balance of comfort in different body regions by analyzing the dispersion of the overall pressure comfort value of each region, addressing the problem of systemic biomechanical imbalance caused by localized adjustments. Finally, it further analyzes the quantitative effect between pressure comfort and sleep quality by analyzing the mediating factors and the dispersion of the overall pressure comfort value of each body region. This allows the model to more realistically reflect the relationship between the overall pressure comfort value of each body region and sleep quality, enabling the model to achieve global dynamic balance adjustment of mattress support in actual use.

[0018] As a further improvement of the present invention, the step of independently adjusting the air pressure of the mattress area corresponding to each zone of the body simultaneously through the air pressure regulating component, based on real-time sleep quality and a preset sleep quality threshold, includes: Determine if the real-time sleep quality is less than the preset sleep quality threshold; if not, no adjustment is needed. If so, the system calculates the overall pressure comfort threshold for each body zone based on the preset sleep quality threshold, and simultaneously adjusts the air pressure of the mattress area corresponding to each body zone independently through the air pressure adjustment component until the real-time overall pressure comfort value of each body zone is less than or equal to the overall pressure comfort value threshold of that zone, thus completing the mattress support adjustment.

[0019] The system incorporates a pressure regulation mechanism to ensure that the overall pressure comfort value of each zone of the body reaches the preset standard when the mattress is in use, avoiding over-adjustment or under-adjustment of a single zone and effectively guaranteeing overall comfort.

[0020] As a further improvement of the present invention, the pressure index data of each body zone under each air pressure mode of the mattress are measured when the subject is in a resting state. This reduces the interference of dynamic behaviors such as body movement and turning over on the pressure data, making the collected pressure index data of each body zone more stable and reliable. This provides a high-quality data foundation for subsequent weight calculation and model construction, and improves the reliability of the entire adjustment method.

[0021] As a further improvement of the present invention, the pressure indicators include pressure area, total pressure, peak pressure and average pressure. The mediating factors include muscle fatigue, body movement angle, and number of body movements. The sleep quality includes sleep onset time, total sleep duration, sleep efficiency, number of times you turn over, and deep sleep duration.

[0022] The second objective of this invention is to provide a mattress that uses the above-described method to adjust the mattress support, comprising a mattress body, wherein multiple pneumatic units are arranged in an array within the mattress body area corresponding to each body zone; wherein each pneumatic unit includes a pressure detection component and an air pressure adjustment component, the pressure detection component is used to acquire pressure index data for each body zone, and the air pressure adjustment component is used to independently adjust the air pressure of the mattress body area corresponding to each body zone.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention calculates the overall pressure comfort value for each body zone using data from multiple pressure indicators. A correlation model is then constructed between this overall pressure comfort value and sleep quality, using mediating factors. In actual use, the correlation model predicts sleep quality based on real-time data, and independently adjusts the air pressure in each area of ​​the mattress based on the prediction results. This invention defines overall comfort by calculating the overall pressure comfort value for each body zone and uses the correlation model to achieve a global dynamic balance adjustment of mattress support. This avoids global support imbalance caused by local adjustments, meets users' personalized needs, effectively improves user experience, and enhances sleep quality. Attached Figure Description

[0024] Figure 1 A flowchart of the mattress support adaptive adjustment method based on pressure comfort provided by the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] The present invention will now be described in further detail with reference to the accompanying drawings: Example 1: like Figure 1As shown, this embodiment provides a mattress support adaptive adjustment method based on pressure comfort, applied to a mattress. The mattress is equipped with a pressure detection component and an air pressure adjustment component. The method includes: Acquire pressure index data for each zone of the body and sleep quality data under various air pressure modes of the mattress; The overall comfort value of each body zone is calculated based on the pressure index data of each zone under different mattress pressure modes; Based on the mediating factors affecting sleep quality, a correlation model was constructed between the comprehensive stress comfort value of different body regions and sleep quality. The pressure detection component acquires real-time pressure data for each area of ​​the body. Based on this data, a correlation model is used to calculate real-time sleep quality. Then, based on the real-time sleep quality and a preset sleep quality threshold, the air pressure of the mattress area corresponding to each area of ​​the body is independently adjusted simultaneously using the air pressure regulation component.

[0027] Specifically, the steps to obtain pressure index data for each area of ​​the body under different mattress air pressure modes, as well as sleep quality data, include: Several sets of mattress air pressure modes with different levels of support (extremely firm to extremely soft) were randomly selected. ; All participants (total) (Subjects) lay sequentially on all pressure modalities. While the subjects were at rest, pressure data for each body region under different pressure modalities were collected. The pressure indicators for each body region included pressure area. Total stress Peak pressure and average pressure , Indicates the number of partitions ( ); After the data of each pressure index were collected, all subjects took sleep tests in all pressure modes in turn. The sleep quality data of the subjects in different pressure modes were collected. The indicators used to evaluate sleep quality included sleep onset time, total sleep duration, sleep efficiency, number of times tossing and turning and deep sleep duration. The total sample size of the stress index data and sleep quality data obtained is , .

[0028] The overall comfort value of each body zone is calculated based on pressure index data of each zone under different mattress pressure modes, including the following steps: For each body zone, the pressure index data of each body zone under each air pressure mode of the mattress are standardized. Based on the standardized data, a correlation matrix was calculated between the pressure index data of each body zone under each air pressure mode of the mattress. An initial weight matrix is ​​set, and the initial weight matrix is ​​iteratively optimized based on the correlation matrix to obtain an iteratively optimized weight matrix. The weight matrix contains the weights of each pressure index of the body partition with respect to the overall pressure comfort value of the body partition. The stopping condition for the iterative optimization of the weight matrix is ​​that the vector distance between the weight matrices obtained from two consecutive iterations is less than a preset threshold. The overall pressure comfort value of each body region is calculated based on the weight of each pressure index in relation to the overall pressure comfort value of that region.

[0029] Among them, pressure area, total pressure, peak pressure, and average pressure each represent different aspects of mattress comfort, as detailed below: The pressure area reflects the "spatial fit" of the mattress. For example, if the pressure area on the lower back is smaller than the area of ​​the lower back itself, it means that there is a gap between the lower back and the mattress, causing the lower back to be unsupported and leading to lower back muscle fatigue.

[0030] The total pressure is related to the anatomical weight of different body zones. For example, the hips account for a larger proportion of body weight than the shoulders, so the total pressure on the hips should theoretically be greater than that on the shoulders. If the total pressure of a certain zone deviates too much from the proportion of body weight, it indicates that the mattress support structure may be unbalanced (e.g., the mattress is too soft / too firm in some areas).

[0031] Pressure peaks reflect how well a mattress conforms to the body's curves. Excessively high pressure peaks indicate insufficient conformation; for example, a mattress that is too firm around the shoulders will create pressure peaks at the scapula. Ideally, pressure peaks should be distributed in areas with abundant muscle (such as the buttocks), avoiding excessive pressure on bony prominences (such as the acromion and sacrum).

[0032] Ideally, the average pressure in each area of ​​the body should be close to the comfort threshold that the body's soft tissues can tolerate. If the average pressure in a certain area is too high, it indicates that the mattress may be providing too much support in that area, resulting in concentrated local pressure; if the average pressure in a certain area is too low, it indicates that the mattress may not be providing enough support in that area, resulting in pressure being dispersed to adjacent areas.

[0033] Since pressure area, total pressure, peak pressure, and average pressure each represent different aspects of mattress comfort, and each indicator has both independent and overlapping components, using only a single indicator to represent mattress comfort may result in significant errors. Therefore, this embodiment assumes that pressure area... Total stress Peak pressure and average pressure These four indicators together reflect a potential, unmeasurable, comprehensive value of pressure comfort. This embodiment calculates the comprehensive pressure comfort value of each body region. It reflects the comfort of different areas of the body, thereby defining overall comfort.

[0034] If the human body is divided into four regions—shoulder, waist, hips, and legs—there are pressure area data, total pressure data, peak pressure data, and average pressure data for each region. Since the weights of each pressure indicator may differ for each region—for example, the weight of the waist pressure area may be greater, and the weight of the hip pressure peak may be greater—this embodiment requires calculating the weight of each of the four pressure indicators for the overall pressure comfort value of each body region, and then calculating the overall pressure comfort value for each body region based on these weights.

[0035] The following demonstration uses a hypothetical dataset to illustrate the specific calculation process.

[0036] The virtual dataset consists of lumbar pressure index data of the subjects, with a total sample size of [missing data]. The value is 5, and the specific data is shown in Table 1: Table 1

[0037] The data for each pressure indicator were standardized, and the calculation formula is as follows:

[0038] in, The raw data for each pressure indicator. This represents the mean of the raw data for each pressure indicator. The standard deviation of the raw data for each pressure indicator; The standardized data for each pressure index are shown in Table 2. Table 2

[0039] Based on the standardized processing results, the correlation coefficient between any two pressure indicators was calculated, and then the correlation matrix between the pressure indicators of the lumbar region was calculated. .

[0040] The formula for calculating the correlation coefficient between any two pressure indicators is:

[0041] in, Indicator of stress With pressure indicators The correlation coefficient between them, i.e., the correlation matrix No. Line 1 Column data; Indicates the first Stress index of individual samples Standardized data, Indicates the first Stress index of individual samples Standardized data, This represents the total number of samples.

[0042] Based on the data in Table 2, the correlation coefficient between any two pressure indicators is:

[0043]

[0044]

[0045]

[0046]

[0047]

[0048] Calculate the correlation matrix of lumbar pressure index data based on the correlation coefficient between any two pressure indices. Among them, the correlation matrix It is the covariance matrix of standardized data. Since there are four pressure indicators in this embodiment, the correlation matrix is... for Symmetric matrix; Incidence matrix The calculation formula is:

[0049] Set the initial weight matrix Based on the association matrix The initial weight matrix is ​​iteratively optimized, and the calculation formula for the iterative optimization is as follows:

[0050] Taking a virtual dataset as an example, when the initial weight matrix hour,

[0051]

[0052]

[0053] And so on, when Each weight in When the difference between the corresponding weights is less than the threshold, stop the iteration and set the current weights to the minimum. As the final weight matrix, the weight matrix contains the weights of each lumbar pressure index on the overall value of lumbar pressure comfort; in this embodiment, the threshold is 0.001.

[0054] Based on the weight matrix of each body region, the weights of each pressure index for each body region with respect to the overall pressure comfort value of that region are obtained. The overall pressure comfort value for each body region is then calculated based on these weights, using the following formula:

[0055] in, , , , Represent the pressure area, total pressure, peak pressure, and average pressure relative to the first... The weights of each body partition, , , , Standardized data representing pressure area, total pressure, peak pressure, and average pressure, respectively.

[0056] In the pathway by which stress comfort affects sleep quality, stress comfort is the antecedent factor, and sleep quality is the outcome factor, with a series of mediating factors such as muscle fatigue, body movement angle, and number of body movements playing a role. Based on sample data, a two-level correlation model is constructed between the comprehensive stress comfort value of different body regions and sleep quality through mediating factors. First, the relationship between stress comfort and mediating factors is linked, and then the quantitative effect between stress comfort and sleep quality is further analyzed through the mediating factors.

[0057] The construction of a two-level association model includes the following steps: A correlation model was constructed between the comprehensive pressure comfort values ​​of different body regions and mediating factors affecting sleep quality. The model is represented as follows:

[0058] The dispersion of the overall pressure comfort value for each body region is calculated. A greater dispersion indicates more uneven pressure comfort across different body regions, leading to greater user discomfort. The calculation formula is as follows:

[0059] Finally, a correlation model was constructed between sleep quality and the mediating factors affecting sleep quality, as well as the degree of dispersion of the comprehensive stress comfort value of different body regions. The model is expressed as follows:

[0060] in, The mediating factors can be flexibly selected according to the actual situation. This embodiment does not impose specific limitations. The preferred mediating factors are muscle fatigue and number of body movements. For the body Overall pressure comfort value for each zone; For the body The weights of the overall stress comfort values ​​for each zone; This represents the average value of the overall pressure comfort values ​​for each area of ​​the body. For sleep quality, this indicator can be flexibly selected according to the actual situation. This embodiment does not make specific limitations, but the preferred option is the duration of deep sleep. The weight of mediating factors on sleep quality; The weighting of the dispersion of the overall pressure comfort value of different body regions on sleep quality. and All are constants.

[0061] In actual use, the mattress's adaptive support adjustment includes: When the user lies on the mattress, the pressure detection component automatically acquires real-time data of pressure indicators in various areas of the body and calculates real-time sleep quality through a two-layer correlation model. The real-time sleep quality is compared with the preset sleep quality threshold to determine whether the real-time sleep quality is less than the preset sleep quality threshold. If not, the mattress support is good and there is no need to adjust the air pressure in each area of ​​the mattress. If so, the system calculates the overall pressure comfort threshold for each body zone based on the preset sleep quality threshold, and simultaneously adjusts the air pressure of the mattress area corresponding to each body zone independently through the air pressure adjustment component until the real-time overall pressure comfort value of each body zone is less than or equal to the overall pressure comfort value threshold of that zone, thus completing the adjustment of the mattress support.

[0062] The method provided in this embodiment calculates the comprehensive pressure comfort value of each body zone using data from multiple pressure indicators. It constructs a correlation model between the comprehensive pressure comfort value of each body zone and sleep quality through mediating factors. In actual use, the correlation model predicts sleep quality based on real-time data, and independently adjusts the air pressure in each area of ​​the mattress based on the prediction results. This method defines overall comfort by calculating the comprehensive pressure comfort value of each body zone and uses the correlation model to achieve global dynamic balance adjustment of mattress support. This avoids global support imbalance caused by local adjustments, meets the user's personalized needs, effectively improves user experience, and enhances sleep quality.

[0063] Example 2: This embodiment provides a mattress, and the support of the mattress is adjusted using the method described in Embodiment 1. The mattress includes a mattress body, and multiple pneumatic units are arranged in an array in the mattress body area corresponding to each body zone. Each pneumatic unit includes a pressure detection component and an air pressure adjustment component. The pressure detection component is used to acquire pressure index data of each body zone, and the air pressure adjustment component is used to independently adjust the air pressure of the mattress body area corresponding to each body zone.

[0064] Specifically, the pressure detection component is a pressure sensor, and the air pressure regulation component includes an air bladder, a built-in spring, and an air intake system controlled by a solenoid valve.

[0065] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for adaptive adjustment of mattress support based on pressure comfort, characterized in that, Applied to a mattress, wherein the mattress is equipped with a pressure detection component and an air pressure regulating component, the method includes: Acquire pressure index data for each zone of the body and sleep quality data under various air pressure modes of the mattress; The overall comfort value of each body zone is calculated based on the pressure index data of each zone under different mattress pressure modes; Based on the mediating factors affecting sleep quality, a correlation model was constructed between the comprehensive stress comfort value of different body regions and sleep quality. The pressure detection component acquires real-time pressure data for each area of ​​the body. Based on this data, a correlation model is used to calculate real-time sleep quality. Then, based on the real-time sleep quality and a preset sleep quality threshold, the air pressure of the mattress area corresponding to each area of ​​the body is independently adjusted simultaneously using the air pressure regulation component.

2. The method according to claim 1, characterized in that, The calculation of the overall pressure comfort value for each body zone based on pressure index data of each body zone under various mattress air pressure modes includes: Calculate the weight of each pressure index for each body region with respect to the overall pressure comfort value of that region, and calculate the overall pressure comfort value for each body region based on the weights.

3. The method according to claim 2, characterized in that, The calculation of the weights of each pressure index for each body region with respect to the overall pressure comfort value of that region includes: For each body zone, the pressure index data of each body zone under each air pressure mode of the mattress are standardized. Based on the standardized data, a correlation matrix was calculated between the pressure index data of each body zone under each air pressure mode of the mattress. An initial weight matrix is ​​set, and the initial weight matrix is ​​iteratively optimized based on the correlation matrix to obtain an iteratively optimized weight matrix. The weight matrix contains the weights of each pressure index of the body partition to the overall pressure comfort value of the body partition.

4. The method according to claim 3, characterized in that, The stopping condition for iterative optimization of the weight matrix is ​​that the vector distance between the weight matrices obtained in two consecutive iterations is less than a preset threshold.

5. The method according to claim 1, characterized in that, The aforementioned model, based on mediating factors affecting sleep quality, constructs a correlation between the comprehensive stress comfort value of different body regions and sleep quality, including: Construct a correlation model between the comprehensive stress comfort values ​​of different body regions and mediating factors affecting sleep quality; The dispersion of the comprehensive pressure comfort value of each body region is calculated, and a correlation model is constructed between sleep quality and mediating factors affecting sleep quality, as well as the dispersion of the comprehensive pressure comfort value of each body region, to achieve a quantitative mapping between the comprehensive pressure comfort value of each body region and sleep quality.

6. The method according to claim 5, characterized in that, The correlation model between the overall pressure comfort value of each body region and the mediating factors affecting sleep quality is expressed as follows: The dispersion of the overall pressure comfort value for each body region is expressed as follows: The correlation model between sleep quality and mediating factors affecting sleep quality, as well as the dispersion of the comprehensive stress comfort value of different body regions, is expressed as follows: in, As a mediating factor, For the body Overall pressure comfort value for each zone For the body The weighting of the overall stress comfort value for each zone This represents the average value of the overall pressure comfort level across different body regions. For sleep quality, The weight of mediating factors on sleep quality, The weighting of the dispersion of the overall pressure comfort value of different body regions on sleep quality. and All are constants.

7. The method according to claim 1, characterized in that, The method, based on real-time sleep quality and preset sleep quality thresholds, independently adjusts the air pressure of the mattress area corresponding to each zone of the body simultaneously through an air pressure regulating component, including: Determine if the real-time sleep quality is less than the preset sleep quality threshold; if not, no adjustment is needed. If so, the system calculates the overall pressure comfort threshold for each body zone based on the preset sleep quality threshold, and simultaneously adjusts the air pressure of the mattress area corresponding to each body zone independently through the air pressure adjustment component until the real-time overall pressure comfort value of each body zone is less than or equal to the overall pressure comfort value threshold of that zone, thus completing the mattress support adjustment.

8. The method according to claim 1, characterized in that, The pressure index data of each zone of the body under each air pressure mode of the mattress were measured when the subject was in a resting state.

9. The method according to claim 1, characterized in that, The pressure indicators include pressure area, total pressure, peak pressure, and average pressure. The mediating factors include muscle fatigue, body movement angle, and number of body movements. The sleep quality includes sleep onset time, total sleep duration, sleep efficiency, number of times you turn over, and deep sleep duration.

10. A mattress, wherein the mattress support is adjusted using the method described in any one of claims 1 to 9, characterized in that, The device includes a pad, and multiple pneumatic units arranged in an array are provided in the pad area corresponding to each body partition. Each pneumatic unit includes a pressure detection component and an air pressure regulation component. The pressure detection component is used to acquire pressure index data of each body partition, and the air pressure regulation component is used to independently adjust the air pressure of the pad area corresponding to each body partition.

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