Intelligent comfort level adjusting method, controller, system and storage medium

Abstract

The embodiment of the invention provides an intelligent comfort adjusting method, a controller, a system and a storage medium, and the method comprises the steps: obtaining the pressure information of a patient through a pressure sensing module; determining sleeping information of the patient according to the pressure information of the patient; acquiring pathological information of the patient; determining body comfort information of each part of the body of the patient according to the pathological information and the sleeping information; adjusting information of a supporting module on the sickbed is determined according to the body comfort degree information and preset comfort degree information; and adjusting the support module according to the adjustment information. According to the invention, the pressure data of each part of the body of the patient on the sickbed is automatically obtained, the body comfort information of each part of the body of the patient is determined, the adjustment information of the supporting module on the sickbed is determined, and the supporting module adjusts the corresponding supporting height so that the patient is in the preset comfort level, so that the comfort level of the sickbed can be automatically adjusted; and the patient can better recuperate.

Description

Technical Field

[0001] The present invention relates to the field of but not limited to hospital bed control technology, and in particular to a method, controller, system and storage medium for intelligently adjusting comfort. Background Art

[0002] Hospital beds are commonly used in hospitals, health centers or health service centers.

[0003] Patients often have difficulty actively adjusting to a comfortable sleeping position due to physical inconvenience. At the same time, for some elderly patients or patients with fractures or wounds on their hands and feet, if the fractures or wounds are not properly comfortable when sleeping, it is easy to cause pain. Summary of the invention

[0004] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0005] The main purpose of the embodiments of the present invention is to provide an intelligent comfort adjustment method, a controller, a hospital bed and a storage medium, which can automatically adjust the comfort of the hospital bed so that the patient can rest better.

[0006] In a first aspect, an embodiment of the present invention provides a method for intelligently adjusting comfort, comprising: Acquire patient pressure information, wherein the patient pressure information is obtained by comparing pressure data acquired by a pressure sensing module with a first threshold, a first preset model, and a second threshold to obtain a deviation area, and the pressure data corresponding to the deviation area is removed from the pressure data acquired by the pressure sensing module, and the patient pressure information represents pressure distribution information of the patient at various locations on the bed; Determining the patient's sleeping information according to the patient's pressure information, wherein the sleeping information represents the body parts of the patient in contact with the bed and the magnitude of the pressure on the body parts; Acquiring pathological information of the patient, wherein the pathological information represents the patient's medical information and / or physiological information acquired by a physiological monitoring module; Determining body comfort information of various parts of the patient's body according to the pathological information and the sleeping information; Determining adjustment information of a support module on the hospital bed according to the body comfort information and preset comfort information; The support module is adjusted according to the adjustment information to put the patient at a preset comfort level, where the preset comfort level represents the comfort level indicated by the preset comfort level information.

[0007] In some optional embodiments, the pressure sensing module is disposed on the supporting module, and the supporting module is disposed on the hospital bed and used to support the patient, and the step of obtaining the patient's pressure information includes: Acquiring pressure data acting on the supporting module through the pressure sensing module; configuring the pressure in the pressure data that is greater than a first threshold as the external object pressure; Comparing the first pressure region of the external object pressure with the second pressure region in the first preset model to obtain a first comparison result; In the case where the first comparison result indicates that there is a deviated area in the first pressure area, the patient pressure area is obtained after the deviated area is removed from the first pressure area, and the deviated area represents an area whose similarity with the corresponding area in the second pressure area is less than a second threshold; The pressure data corresponding to the patient pressure area is configured as the patient pressure information.

[0008] In some optional embodiments, the step of comparing the first pressure region of the external object pressure with the second pressure region in the first preset model to obtain a first comparison result includes: Comparing the first pressure region with each second pressure region in the first preset model by similarity to obtain an optimal pressure region, wherein the optimal pressure region represents the second pressure region having the highest similarity to the first pressure region; Dividing the first pressure area into a plurality of first pressure sub-areas according to a preset segmentation rule; The first pressure sub-region is compared with a corresponding second pressure sub-region in the optimal pressure region for similarity, and the first pressure sub-region whose similarity is less than a second threshold is configured as the deviation region.

[0009] In some optional embodiments, after comparing the first pressure sub-region with the corresponding second pressure sub-region in the optimal pressure region for similarity, the method further includes: When the similarity between the first pressure sub-region and the second pressure sub-region corresponding to the optimal pressure region is greater than or equal to a second threshold, obtaining pressure change information of the first pressure sub-region within a preset time; When the pressure change information indicates that the pressure in the first pressure sub-region does not change within a preset time, the first pressure sub-region is configured as the deviation region.

[0010] In some optional embodiments, determining the patient's sleeping information according to the patient's pressure information includes: Comparing the patient pressure information with a preset pressure distribution model to obtain the patient's sleeping position, wherein the preset pressure distribution model represents a pre-established pressure distribution model corresponding to different sleeping positions; determining the contact pressure between each body part of the patient and the bed according to the patient's sleeping posture and the patient's pressure information; The sleeping posture of the patient and the contact pressure between each body part of the patient and the bed are configured as the sleeping information.

[0011] In some optional embodiments, determining the body comfort information of various parts of the patient's body according to the pathological information and the sleeping information includes: Determining expected pressure data at various parts of the patient's body according to the pathological information; determining current pressure data of various parts of the patient's body according to the sleeping information; The body comfort information is obtained by comparing the current pressure data with the expected pressure data of the same body part of the patient.

[0012] In some optional embodiments, the pressure sensing module includes a plurality of pressure sensing units, the support module includes a plurality of support units, each of the support units is provided with the pressure sensing unit, and adjusting the support module according to the adjustment information includes: Determining unit adjustment information of one or more support units of the bed according to the adjustment information; determining a height adjustment curve of the support unit according to the pathological information, the body comfort information and the unit adjustment information, wherein the height adjustment curve represents an adjustment rate of the support unit at different support heights; The supporting height of the supporting unit is adjusted according to the height adjustment curve to make the patient at a preset comfort level.

[0013] In a second aspect, an embodiment of the present invention provides a controller comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the intelligent comfort adjustment method described in the first aspect when executing the computer program.

[0014] In a third aspect, an embodiment of the present invention provides an intelligent comfort adjustment system, including the controller involved in the second aspect above.

[0015] In a fourth aspect, a computer storage medium stores computer executable instructions, wherein the computer executable instructions are used to execute the intelligent comfort adjustment method described in the first aspect.

[0016] The beneficial effects of the present invention include: when the present invention obtains an instruction for adjusting the comfort of a hospital bed, the present invention obtains patient pressure information, the patient pressure information is obtained through a pressure sensing module, and the patient pressure information represents pressure distribution information of the patient at various locations on the hospital bed; the patient's sleeping information is determined based on the patient pressure information, the sleeping information represents the body parts of the patient in contact with the bed and the magnitude of pressure exerted on the body parts; the patient's pathological information is obtained, the pathological information represents the patient's medical information and / or physiological information obtained through a physiological monitoring module; the body comfort information of various locations of the patient's body is determined based on the pathological information and the sleeping information; the adjustment information of a support module on the hospital bed is determined based on the body comfort information and preset comfort information; the support module is adjusted based on the adjustment information to place the patient at a preset comfort level, the preset comfort level represents the comfort level indicated by the preset comfort information. By automatically acquiring the pressure data of various parts of the patient's body when the patient is in bed, and comparing it with the pressure data expected by the pathological information, the body comfort information of various parts of the patient's body is determined, thereby determining the adjustment information of the support module on the bed, so that the support module adjusts the corresponding support height to put the patient in a preset comfort level. Therefore, the present application can automatically adjust the comfort level of the bed so that the patient can rest better.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of the steps of a method for intelligently adjusting comfort provided by an embodiment of the present invention; Figure 2 is a structural schematic diagram of a hospital bed provided by an embodiment of the present invention; Figure 3 is a schematic diagram of the distribution of support modules provided in an embodiment of the present invention; Figure 4 is a schematic diagram of a support unit provided by an embodiment of the present invention; Figure 5 is a schematic diagram of adjusting multiple support units provided by an embodiment of the present invention; Figure 6 It is a schematic diagram of a controller provided by an embodiment of the present invention.

[0019] Reference numerals: controller 1000, processor 1100, memory 1200; Bed frame 100, first cylinder 110, first gas rod 111, first rotating shaft 112, first connecting block 113, third baffle 120, fourth baffle 121, second rotating shaft 130, second connecting block 131; Bed board 200, second bed board 210, second baffle 211, first bed board 220, first baffle 221, support unit 230, support cylinder 231, support rod 232, support board 233, pressure sensing unit 234, bed sheet 240; A second air cylinder 310, a second air rod 311, a third air cylinder 320, and a third air rod 321; A base 400 and a brake universal wheel 410 . DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims or the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0022] Hospital beds are commonly used in hospitals, health centers or health service centers.

[0023] Patients often have difficulty actively adjusting to a comfortable sleeping position due to physical inconvenience. At the same time, for some elderly patients or patients with fractures or wounds on their hands and feet, if the fractures or wounds are not properly comfortable when sleeping, it is easy to cause pain.

[0024] In order to solve the above-mentioned problems, the present application provides a method for intelligently adjusting comfort, a controller, a hospital bed and a storage medium.

[0025] In the present application, a method for intelligently adjusting comfort, a controller, a hospital bed and a storage medium are provided, which are described in detail one by one in the following embodiments.

[0026] like Figure 1 As shown, an embodiment of the present invention provides a method for intelligently adjusting comfort, including: S100, obtaining patient pressure information, wherein the patient pressure information is obtained by comparing pressure data obtained by a pressure sensing module with a first threshold, a first preset model, and a second threshold to obtain a deviation area, and the pressure data corresponding to the deviation area is removed from the pressure data obtained by the pressure sensing module. The patient pressure information represents pressure distribution information of the patient at various locations on the bed.

[0027] It should be noted that, refer to Figure 2 In the embodiment of the present invention, a pressure sensing module is provided on the bed board of the hospital bed. The pressure sensing module can obtain corresponding pressure data after the patient lies down, and confirm the patient's sleeping state through the pressure area information in the pressure data. The sleeping state specifically includes supine, side, prone, etc. Different sleeping states correspond to different pressure area information. The pressure distribution of the patient on the bed is obtained through the pressure sensing modules evenly distributed on the bed. The pressure sensing modules can adopt resistive, capacitive or piezoelectric pressure sensor technologies. The pressure sensing modules cover the main areas that the patient's body may contact, such as the head, back, buttocks, legs, etc., so as to comprehensively obtain the pressure distribution information of the patient in various parts of the bed.

[0028] In some embodiments, the pressure sensing module is arranged on the supporting module, and the supporting module is arranged on a hospital bed for supporting a patient, and the obtaining of patient pressure information includes: obtaining pressure data acting on the supporting module through the pressure sensing module; configuring the pressure in the pressure data that is greater than a first threshold as external object pressure; comparing a first pressure area of ​​the external object pressure with a second pressure area in a first preset model to obtain a first comparison result; when the first comparison result indicates that there is a deviation area in the first pressure area, the deviation area is removed from the first pressure area to obtain a patient pressure area, and the deviation area represents an area whose similarity with the corresponding area in the second pressure area is less than a second threshold; and configuring the pressure data corresponding to the patient pressure area as the patient pressure information.

[0029] Specifically, refer to Figure 2-3, the pressure sensing module is arranged on the support module, and the support module is used to support the patient, so the pressure sensing module can directly sense the pressure acting on the support module. When the patient lies on the bed, various parts of the body exert pressure on the support module, and the pressure sensing module converts these pressures into measurable data forms such as electrical signals, thereby obtaining the pressure data acting on the support module. The pressure data reflects the pressure of the contact part between the patient's body and the support module, and may also include pressure caused by some other factors (such as other objects placed on the bed or accompanying personnel sitting by the bed). Therefore, in the pressure data obtained, there is a part of the pressure that may not come from the patient's body, but caused by objects (such as objects placed on the bed, etc.) or other people (accompanying personnel, etc.). In order to distinguish these interfering pressures, a first threshold is set. The pressure greater than the first threshold in the pressure data is configured as external object pressure (that is, the pressure data of the quilt not existing on the bed). This is because under normal circumstances, the pressure exerted by the patient on the support module will be relatively large. By setting a suitable first threshold, these possible external object pressures can be effectively screened out. For example, if under normal circumstances the pressure of the patient's body on the support module is within a certain range, and the pressure in a certain area is significantly smaller than this range, it can be preliminarily determined that the pressure is caused by the quilt, sheets, mattress, etc. on the bed.

[0030] The first pressure area configured as the external object pressure is compared with the second pressure area in the first preset model. The first preset model is pre-established based on experience or a large amount of experimental data. It represents the pressure distribution that may occur to a patient on a bed under normal circumstances. The second pressure area is the regional description of the possible patient pressure on the bed in the model. By comparing the first pressure area and the second pressure area, it can be determined whether the currently obtained external object pressure area meets expectations (meets the area where the patient's pressure on the bed acts). The comparison method can be to calculate indicators such as the similarity and overlap of the two areas.

[0031] When the first comparison result indicates that there is a deviation area in the first pressure area, it means that there is a large difference between the current external object pressure area and the corresponding area in the preset model. The deviation area here refers to the area whose similarity with the corresponding area in the second pressure area is less than the second threshold value. For example, the similarity between the pressure area A near the buttocks in the first pressure area and the pressure area B near the buttocks in the second pressure area is less than the second threshold value (such as 40%, not specifically limited), then the pressure area A is set as the deviation area, that is, the pressure area A does not belong to the pressure area generated by the patient himself on the bed. The second threshold is a pre-set standard for measuring similarity. When it is lower than this threshold, it is considered that the area is greatly different from the normal expected patient pressure area, and there may be abnormal conditions. These deviation areas are removed from the first pressure area. The purpose of doing so is to exclude abnormal pressure data and obtain a more accurate pressure area that is truly related to the patient's body, that is, the patient pressure area. The pressure data corresponding to the patient pressure area is configured as patient pressure information. After the previous steps, the abnormal part of the external object pressure is eliminated, and the obtained patient pressure area can more accurately reflect the pressure distribution of the patient's body on the support module.

[0032] In some embodiments, the first pressure area of ​​the external object pressure is compared with the second pressure area in the first preset model to obtain a first comparison result, including: comparing the first pressure area with each second pressure area in the first preset model to obtain an optimal pressure area, the optimal pressure area representing the second pressure area with the highest similarity to the first pressure area; dividing the first pressure area into multiple first pressure sub-areas according to a preset segmentation rule; comparing the first pressure sub-area with the corresponding second pressure sub-area in the optimal pressure area in similarity, and configuring the first pressure sub-area whose similarity is less than a second threshold as the deviation area.

[0033] Specifically, the first pressure area is compared with each second pressure area in the first preset model for similarity. In this process, a specific similarity calculation method is used. For example, algorithms such as Euclidean distance and cosine similarity can be used to measure the similarity between two areas. By comparing all the second pressure areas in the first preset model one by one, the second pressure area with the highest similarity to the first pressure area is found and defined as the best pressure area. The purpose of this step is to provide a relatively best matching reference area for subsequent more detailed comparisons, because the best pressure area is the most similar to the current first pressure area as a whole, and further analysis based on this can more accurately determine abnormal situations.

[0034] The first pressure area is divided into multiple first pressure sub-areas according to the preset segmentation rules. The preset segmentation rules can be determined according to actual needs and the characteristics of the pressure area. For example, the first pressure area can be divided evenly into several small rectangular areas according to a fixed size; or the area can be divided according to the characteristics of the pressure distribution, and the area with large pressure changes is divided more densely. The specific details are not limited here. By dividing the first pressure area into multiple sub-areas (first pressure sub-areas), the pressure situation of each local area can be analyzed more accurately, because different sub-areas may have different pressure sources and characteristics, which can improve the analysis accuracy of the pressure data.

[0035] The first pressure sub-region is compared with the corresponding second pressure sub-region in the optimal pressure region for similarity. Here, "correspondence" refers to the sub-regions corresponding in spatial position or logical relationship, that is, the sub-region at a certain position in the first pressure region is compared with the sub-region at the same position in the optimal pressure region. The similarity calculation method is also used to measure the degree of similarity between them. For the first pressure sub-region whose similarity is less than the second threshold, it is configured as a deviation region. The second threshold is a pre-set standard used to judge whether the difference between the sub-regions is large enough. When the similarity is lower than this threshold, it is considered that the first pressure sub-region is significantly different from the corresponding second pressure sub-region, which is likely to be caused by abnormal conditions (such as unexpected placement of foreign objects, etc.), so it is defined as a deviation region. The relationship between the first pressure region of the foreign object pressure and the second pressure region in the first preset model can be analyzed more carefully and accurately, so as to screen out the deviation region therein, laying the foundation for obtaining a more accurate patient pressure region in the future. It helps to improve the understanding and application of pressure data on hospital beds, so that the analysis results based on pressure data are more reliable, for example, it can provide more effective information support in judging the patient's sleeping posture, physical comfort, etc.

[0036] In some embodiments, after comparing the similarity between the first pressure sub-region and the corresponding second pressure sub-region in the optimal pressure region, the method further includes: obtaining pressure change information of the first pressure sub-region within a preset time when the similarity between the first pressure sub-region and the corresponding second pressure sub-region in the optimal pressure region is greater than or equal to a second threshold; and configuring the first pressure sub-region as the deviation region when the pressure change information indicates that no pressure change has occurred in the first pressure sub-region within the preset time.

[0037] Specifically, when the similarity between the first pressure sub-region and the corresponding second pressure sub-region in the optimal pressure region is greater than or equal to the second threshold, it means that from the perspective of overall similarity, the difference between the first pressure sub-region and the corresponding region is small, which meets certain expectations. However, the similarity alone is not enough to fully determine that the pressure situation in the area is normal, so it is necessary to further obtain the pressure change information of the first pressure sub-region within the preset time. The preset time can be set according to actual conditions, for example, it can be set to 1 minute, 5 minutes, etc. This time length needs to reflect the dynamic changes in pressure without being too long to cause the information to be too complicated. The pressure change information mainly includes data such as changes in the size of the pressure value and the frequency of pressure changes. By obtaining this information, you can have a deeper understanding of the dynamic characteristics of the pressure in this sub-region.

[0038] After obtaining the pressure change information, it is necessary to determine whether the pressure in the first pressure sub-area changes within the preset time. If the pressure change information indicates that the first pressure sub-area has not undergone a pressure change within the preset time, the first pressure sub-area is configured as a deviation area. Because under normal circumstances, the patient's body on the bed will have some slight movements, or the body's physiological activities will also cause pressure fluctuations. Therefore, when there is no change in pressure in an area for a long time, it is very likely that the pressure in this area does not come from the patient's body, or is a pressure generated by a fixed external object that should not exist. In this case, the first pressure sub-area is configured as a deviation area. After it is identified as a deviation area, it can be eliminated when analyzing the patient's pressure area later, so as to obtain a more accurate area that reflects the patient's body pressure situation, and provide more reliable data support for the subsequent judgment of the patient's sleeping position, body comfort, etc. based on the pressure information. By screening out deviated areas through pressure change information, the analysis and judgment process of the first pressure sub-area is further improved. It not only relies on the similarity between areas, but also combines the dynamic changes of pressure, thereby improving the analysis accuracy and reliability of pressure data on beds. It can more effectively eliminate interference factors and accurately identify pressure areas related to the patient's body, providing more valuable information for subsequent bed adjustment, patient care and other tasks.

[0039] In some optional embodiments, when the pressure change information indicates that the pressure of the first pressure sub-area is changing in a first direction (when the first pressure sub-area is normal, the pressure is in a second direction, and the specific second direction may be upward, and the first direction may be parallel to the bed or obliquely upward, and the specific direction is not limited), the pressure direction characteristics of multiple adjacent first pressure sub-areas are combined to determine the adjustment needs of the corresponding body parts of the patient, and the support module is adjusted according to the adjustment needs to meet the patient's adjustment needs.

[0040] Specifically, when the pressure change information indicates that the pressure of the first pressure sub-area changes in the first direction, and it is known that the pressure of the first pressure sub-area is normally in the second direction (such as the second direction is upward, the first direction is parallel to the bed or obliquely upward, etc.), this means that the pressure state of the sub-area has changed abnormally. This change in pressure direction may be caused by the adjustment of the patient's body posture, body movement or other factors. For example, when the patient was originally lying flat, the pressure direction of a certain part was perpendicular to the bed and upward, but suddenly the pressure direction became parallel to the bed, which may indicate that the patient has a lateral movement in this part. In order to more accurately judge the actual situation of the patient's body, it is necessary to combine the pressure direction characteristics of multiple adjacent first pressure sub-areas. The pressure change of adjacent pressure sub-areas can provide more information to assist in judgment. For example, if the pressure direction of a first pressure sub-area changes abnormally, and the pressure directions of several adjacent sub-areas also show a similar change trend, then it can be preliminarily judged that the patient has an overall movement or posture change in this body part; if the pressure direction changes of adjacent sub-areas are inconsistent, it may be caused by local body movements. By comprehensively analyzing the pressure direction characteristics of multiple adjacent sub-areas, the state of the corresponding part of the patient's body can be more comprehensively understood.

[0041] Based on the above analysis of the pressure orientation characteristics of the first pressure sub-area and its adjacent sub-areas, the adjustment requirements of the corresponding body parts of the patient are determined. For example, if it is found that the pressure orientations of multiple adjacent first pressure sub-areas have become parallel to the bed, and the pressure values ​​have changed significantly, it means that the patient is moving sideways. At this time, the patient needs to increase support in the sideways direction to maintain body comfort and stability. Then the adjustment requirement is to adjust the height or angle of the support module in the corresponding direction; if the pressure orientation of a first pressure sub-area changes, but the adjacent sub-area does not change significantly, it is due to uneven local force on the patient's part. The adjustment requirement is to fine-tune the support module corresponding to the sub-area to balance the pressure.

[0042] Reference Figure 2If the pressure of the first pressure sub-area corresponding to the patient's upper body is inclined upward and the pressure gradually decreases, and the pressure of the first pressure sub-area corresponding to the buttocks and other areas of the patient's lower body is inclined downward and the pressure gradually increases, it indicates that the patient needs to get up, and at this time, the first bed board 220 is controlled to rotate upward to assist the patient to get up. During the process of getting up, when the pressure of the first pressure sub-area of ​​the patient's upper body increases, it indicates that the patient is in a comfortable or ideal state at this time, and the adjustment of the first bed board 220 is stopped. Similarly, after the first bed board 220 rotates upward and stops for a preset time, the pressure of the first pressure sub-area of ​​the patient's upper body increases obliquely downward, indicating that the patient needs to lie flat or adjust the lying position upward at this time, and the first bed board 220 is controlled to rotate downward to assist the patient to lie flat or adjust the lying position. During the adjustment process, when the pressure of the first pressure sub-area of ​​the patient's upper body decreases, it indicates that the patient is in a comfortable or ideal state at this time, and the adjustment of the first bed board 220 is stopped.

[0043] The bed board 200 includes a first bed board 220 and a second bed board 210, and the first bed board 220 and the second bed board 210 are rotatably connected. A corresponding bed frame 100 is arranged on the bed. The first bed board 220 and the second bed board 210 are located on the bed frame 100. A first baffle 221 is arranged on the first bed board 220, a second baffle 211 is arranged on the second bed board 210, a third baffle 120 is arranged on the first end of the bed frame 100, and a fourth baffle 121 is arranged on the second end of the bed frame 100, so as to prevent the patient from falling. The first bed board 220 and the bed frame 100 are directly driven by the first cylinder 110, and the first gas rod 111 is driven by the first cylinder 110 to push the first connecting block 113 rotatably connected thereto, and the first connecting block 113 is fixedly connected to the bottom of the first bed board 220, and the first connecting block 113 is connected to the first cylinder 110 through the first rotating shaft 112. The second connecting block 131 on the first bed board 220 is rotatably connected to the bed frame 100 through the second rotating shaft 130. The height of the bed frame 100 is adjusted by the second cylinder 310 and the third cylinder 320 arranged at both ends. Specifically, the second cylinder 310 pushes the second gas rod 311, and the third cylinder 320 pushes the third gas rod 321, thereby raising and lowering the bed frame 100. The second cylinder 310 and the third cylinder 320 are fixed to the first surface of the base 400, and the second surface of the base 400 is connected with a brake universal wheel 410, so as to facilitate pushing the bed.

[0044] According to the determined adjustment requirements, the support modules are adjusted accordingly. If the adjustment requirement is to increase the support height in a certain direction, the control system will drive the corresponding support modules (such as electric push rods, cylinders, motors, etc.) to rise. The distribution of the support modules is based on the reference Figure 3; If the angle is adjusted, the support module will be controlled to change the tilt angle. During the adjustment process, the data of the pressure sensor will be monitored in real time to ensure that the adjusted support module can meet the needs of the patient and make the pressure distribution of various parts of the patient's body more reasonable to achieve a comfortable state. Through the above steps, the adjustment needs of the patient's body parts can be judged in a timely and accurate manner based on the pressure change information and the characteristics of the adjacent pressure sub-areas, and these needs can be met by adjusting the support module, thereby improving the patient's comfort and quality of care in the bed. At the same time, it also helps to prevent various problems caused by improper body posture or uneven pressure, such as pressure sores.

[0045] S200. Determine the patient's sleeping information according to the patient's pressure information, where the sleeping information represents the body parts of the patient in contact with the bed and the magnitude of the pressure on the body parts.

[0046] It should be noted that the patient pressure information includes the pressure data of different areas of the patient's body on the bed obtained from the pressure sensor module. These data are important basis for determining the patient's sleeping information, because different sleeping postures will lead to significant differences in the contact points between the body and the bed and the pressure distribution. For example, when the patient lies flat, the back, buttocks and legs are usually evenly distributed with pressure; when the patient lies on his side, the pressure is concentrated on one side of the body.

[0047] First, the bed is divided into multiple areas, each of which corresponds to a different part of the patient's body, which can be determined based on the position distribution of the pressure sensor module on the bed. For example, the pressure sensor data in the head area of ​​the bed corresponds to the patient's head and neck, the pressure sensor data in the foot area corresponds to the patient's legs and feet, and the middle area of ​​the bed may correspond to the buttocks and waist, etc. For each area, a certain pressure threshold is set based on the data collected by the pressure sensor. If the pressure in a certain area exceeds the threshold, it can be considered that the body part corresponding to the area is in contact with the bed. For example, assuming that the pressure threshold of the head area is set to 50kPa, when the pressure data collected by the pressure sensor in this area exceeds 50kPa, it can be determined that the patient's head is in contact with the bed.

[0048] For the part of the body that is determined to be in contact with the bed, the pressure data collected by the corresponding pressure sensor module is the pressure on that part. For example, if the pressure sensor in the back area shows an average pressure of 80kPa, then it can be determined that the pressure on the patient's back is 80kPa. In some cases, the pressure distribution in the same part of the patient's body may not be uniform, so it may be necessary to further analyze the data of each pressure sensor in that part to obtain a more detailed pressure distribution. For example, in the back area, the maximum pressure, minimum pressure and average pressure can be calculated based on the data of multiple pressure sensors to fully understand the pressure status of the back.

[0049] Combining clinical experience and the existing sleeping posture pressure distribution model, the currently measured information on body parts and their pressure levels is compared with the typical pressure distribution of different sleeping postures. For example, if the pressure is mainly concentrated on one side of the body, and the pressure on the side waist, shoulders and buttocks is relatively high, while the pressure on the other side is relatively low, then it may be judged that the patient is in a side-lying position; if the pressure on the back and buttocks is evenly distributed and relatively high, it may be a supine position. Consider special cases: For some special cases, such as when the patient may be in a semi-recumbent position or part of the body is suspended in the air, it can also be judged by the characteristics of pressure data in different areas. For example, when the pressure in some areas at the head of the bed is relatively high, while the pressure in the area at the foot of the bed is relatively low, it may be that the patient is in a semi-recumbent position and the head of the bed is raised at a certain angle.

[0050] The determined patient sleeping information is stored in the bed control system, and can also be transmitted to the terminal device of medical staff through the communication module so that medical staff can check the patient's sleeping status at any time. This sleeping information can provide medical staff with the patient's posture status, helping them to better provide nursing services to patients, and can also serve as a basis for subsequent adjustment of the bed support module to ensure the patient's comfort and physical stability.

[0051] In some optional embodiments, determining the patient's sleeping information based on the patient pressure information includes: comparing the patient's pressure information with a preset pressure distribution model to obtain the patient's sleeping position, the preset pressure distribution model representing a pre-established pressure distribution model corresponding to different sleeping positions; determining the contact pressure between various body parts of the patient and the bed based on the patient's sleeping position and the patient pressure information; and configuring the patient's sleeping position and the contact pressure between various body parts of the patient and the bed as the sleeping information.

[0052] Specifically, the preset pressure distribution model is constructed in advance through a large number of experiments and clinical observations. For example, for supine position, under ideal conditions, the patient's head, back, buttocks, legs and other parts will show a specific pressure distribution pattern. Generally, the pressure on the head and feet is relatively small, while the pressure on the back and buttocks is relatively large and more uniform; for side-lying position, the pressure on one side of the body will be significantly higher than the other side, and the pressure is concentrated on the shoulders, hips and sides of the legs, etc.; for prone position, there will be greater pressure in the chest and abdominal areas.

[0053] The model can be stored in different data structures, such as using a matrix or a multidimensional array, where each element represents the expected pressure value or pressure range for different areas of the bed, and different models can be used to consider patients of different body shapes and weights.

[0054] Compare the actual collected patient pressure information with the preset pressure distribution model. Similarity calculation methods can be used, such as calculating mean square error, cosine similarity, etc. The patient pressure information is regarded as a vector, and the preset pressure distribution models of different sleeping positions are also regarded as vectors. The closest sleeping position is determined by calculating the distance or similarity between the two. For example, if the vector of the patient's pressure information has the highest similarity with the vector of the preset pressure distribution model for the supine position (the mean square error is the smallest), then it can be preliminarily determined that the patient is in the supine position; if it is most similar to the preset pressure distribution model for the lateral position, it is determined to be the lateral position.

[0055] Once the patient's sleeping position is determined, the contact pressure between various parts of the patient's body and the bed can be determined more accurately based on the pressure distribution characteristics under the sleeping position. For a determined sleeping position, its typical pressure distribution area and range are known. For example, in the side-lying position, according to the pressure distribution characteristics of the side-lying position, the pressure values ​​of the shoulder, hip, side of the leg and other parts of the corresponding side are further extracted from the patient's pressure information. The pressure sensor data of these parts will more clearly reflect the contact pressure of the corresponding parts. For patients of different body shapes and weights, the pressure information may need to be appropriately adjusted and interpreted according to the actual situation of the patient. For example, obese patients may produce higher pressure in certain parts, and the pressure information needs to be normalized according to the patient's weight and height information in order to more accurately determine the contact pressure of each body part.

[0056] Finally, the determined sleeping posture of the patient and the contact pressure between each body part and the bed are integrated to form the sleeping information. The sleeping information can be stored in structured data, for example, in JSON format: { "sleepingPosture":"Side-lying position", "contactPressure":{ "shoulder":120kPa, "hip":150kPa, "legSide":100kPa } } Among them, "sleepingPosture" represents the patient's sleeping posture, and "contactPressure" represents the contact pressure of different body parts. The specific pressure data is stored in the form of key-value pairs.

[0057] Through the above steps, the patient's sleeping information can be systematically determined from the patient's pressure information, providing an important basis for subsequent clinical diagnosis, treatment, and bed adjustment. This information helps medical staff better understand the patient's status in bed, and can also provide necessary data support for the automatic adjustment system of the smart bed, so as to automatically adjust the bed's support module according to the patient's sleeping information, thereby improving the patient's comfort and treatment effect.

[0058] S300: Acquire pathological information of a patient, where the pathological information represents the patient's medical information and / or physiological information acquired through a physiological monitoring module.

[0059] It should be noted that the patient's medical information comes from the hospital's information management system, including the patient's past medical history, current diagnosis results, treatment plans currently being received, etc. For example, the patient's past medical history may include whether he has chronic diseases such as hypertension, diabetes, heart disease, or whether he has ever undergone surgery; the current diagnosis result may be the diagnosis of an acute disease, such as pneumonia, fracture, etc.; the treatment plan may include the medication being taken, the surgery or rehabilitation training required, etc. This information can be stored in the electronic medical record system and obtained through the hospital's information interface. For example, in the hospital's information system, the corresponding medical record is queried through the patient's unique identifier (such as medical record number) and the corresponding data is extracted from the relational database.

[0060] Types and functions of physiological monitoring modules: ECG monitoring: Use an ECG monitor to continuously monitor the patient's heart rate, heart rhythm, ECG waveform, etc. The ECG monitor detects the heart's electrical activity through electrodes attached to the patient's body, converts it into electrical signals, and then amplifies and filters them to display a clear ECG and calculate parameters such as heart rate and heart rhythm.

[0061] Blood pressure monitoring: Sphygmomanometers are common physiological monitoring devices, including cuff-type sphygmomanometers and arterial blood pressure monitors. Cuff-type sphygmomanometers compress arteries by inflating air, and then measure blood pressure based on pressure changes during blood flow recovery; arterial blood pressure monitors can continuously monitor blood pressure in real time, sense pressure changes through a catheter inserted into the artery, and provide more accurate and continuous blood pressure data for critically ill patients.

[0062] Blood oxygen saturation monitoring: The oxygen saturation in the blood is measured by a blood oximeter. It uses the principle of light absorption. The probe is clamped on the patient's finger or earlobe, etc. The blood oxygen saturation is calculated by the difference in the absorption of red light and infrared light in the blood, reflecting the patient's respiratory function and tissue oxygen supply.

[0063] Respiratory monitoring: There are many methods, such as using a breathing belt around the patient's chest or abdomen to monitor the respiratory rate and depth of breathing based on the changes in resistance, capacitance or pressure caused by the expansion and contraction of the chest or abdomen during breathing; or using an end-tidal carbon dioxide monitor to measure the carbon dioxide concentration in the exhaled gas to reflect the patient's ventilation and gas exchange function. Specific physiological monitoring is not limited here.

[0064] Collect information from different sources and integrate medical information and physiological information. Data from different devices can be collected centrally using a data acquisition system. For example, in the intensive care unit, data from various physiological monitoring devices will be aggregated into a central monitoring system. For the collected data, data cleaning and preprocessing are required to remove measurement errors and abnormal data. For example, ECG signals may be interfered with and produce noise. Noise is removed by filtering algorithms (such as Butterworth filters) to ensure data accuracy. The integrated data may be stored in a unified database for medical staff to view and analyze later. At the same time, software systems can be used to present this information in the form of intuitive charts or reports, such as drawing a trend chart of the patient's vital signs, so that medical staff can quickly grasp the patient's overall condition. Through the above steps, the patient's pathological information can be fully obtained, providing sufficient basis for medical decision-making, disease assessment and the formulation of nursing plans. This information is also of great reference value for adjusting the support module of the bed and optimizing the patient's comfort and treatment effect, because different pathological conditions have different requirements for the patient's sleeping posture and body support.

[0065] S400: Determine the body comfort information of various parts of the patient's body according to the pathological information and the sleeping information.

[0066] Specifically, consider the impact of pathological information on comfort: Musculoskeletal system diseases: For patients with lumbar disc herniation, the pressure and support of the waist when sleeping will have a significant impact on comfort. If the patient is in a supine position, the lumbar spine may need additional support, otherwise the waist may feel uncomfortable due to the greater pressure on the waist. For example, when the pathological information clearly states that the patient suffers from this disease, based on clinical experience, it is necessary to ensure that the waist has sufficient support to avoid excessive pressure, otherwise the patient may feel pain. For patients with fractures, the location of the injured part is crucial. If the leg is fractured, it is necessary to avoid compression of the fracture site when sleeping. When the corresponding sleeping information shows that the leg pressure is high, the comfort of this part will be greatly reduced.

[0067] Cardiovascular system diseases: For patients with heart failure, lying flat may cause breathing difficulties, and the head of the bed needs to be raised appropriately to reduce the amount of blood returning to the heart and improve breathing conditions. Therefore, the head angle and body posture in the sleeping information are very important. If the sleeping information shows that the head of the bed is at a low angle, the patient may feel breathing difficulties, which will lead to a decrease in overall comfort. Hypertensive patients need to consider the height and pressure of the head when sleeping. A head position that is too high or too low may affect blood pressure and thus affect comfort.

[0068] Respiratory diseases: For patients with chronic obstructive pulmonary disease (COPD), a semi-recumbent or sitting position is generally recommended to improve respiratory function. The body posture in the sleeping information is crucial for evaluating comfort. If the sleeping information shows that the patient is in a supine position, it may cause difficulty breathing and cause discomfort to the patient. For asthma patients, chest and abdominal pressure can also affect breathing, and comfort needs to be assessed based on the pressure conditions in these parts in the sleeping information. If the sleeping information shows that the chest or abdominal pressure is too high, it may aggravate breathing difficulties and reduce comfort.

[0069] The comfort of different parts of the body is analyzed based on the contact pressure between the various parts of the patient's body and the bed in the sleeping information. For example, excessive pressure on the head may cause headaches, while uneven pressure distribution on the back may cause muscle tension and pain. Under normal circumstances, each part of the body has a relatively comfortable pressure range under different sleeping positions, and exceeding this range will reduce comfort. Different sleeping positions also affect the comfort of different parts of the body. For example, when lying on the side, if the pressure on the shoulders and hips is too high, it may cause a local sense of compression; lying prone may compress the chest and abdomen, affecting breathing and circulation, and reducing comfort. The sleeping position recorded in the sleeping information and the corresponding pressure on the body parts will serve as an important basis for evaluating comfort.

[0070] Comfort evaluation index: For each part of the body, quantitative or qualitative indicators can be used to indicate the comfort level. For example, a comfort score can be set for each body part, ranging from 0 to 10, where 0 means extreme discomfort and 10 means very comfortable.

[0071] Taking the waist as an example, if the pathological information shows that the patient has a lumbar disease and the sleeping information shows that the lumbar pressure is relatively high, the comfort score of the waist may be set to 3 points; if the waist is properly supported and the pressure is within a comfortable range, it can be set to 8 points.

[0072] For the head, if the patient suffers from high blood pressure and the sleeping information shows that the head of the bed is too low, it may cause abnormal head pressure and the head comfort score will be set to 4 points. On the contrary, if the head of the bed is in an appropriate position and the pressure is normal, it can be set to 7 points.

[0073] Overall assessment: Taking into account the comfort scores of various parts of the body, an overall comfort assessment can also be given. The patient's overall comfort score can be calculated based on the importance of each body part to the overall comfort through weighted average or other comprehensive assessment methods.

[0074] Physical comfort information can be stored in an electronic medical record system or a dedicated patient monitoring system in the form of structured data. For example, it can be stored in JSON format: { "head": 7, "neck": 8, "shoulder": 6, "back": 5, "waist": 3, "hip": 4, "leg": 7, "foot": 8, "overallComfort": 5.5 } Each key represents a body part, and the corresponding value represents the comfort score of the part. "overallComfort" represents the overall comfort score.

[0075] Medical staff can adjust the nursing plan based on the body comfort information, such as adjusting the support module of the bed or changing the patient's sleeping position. It can also be used as an indicator for long-term disease observation to understand the changes in the disease and the treatment effect. For example, by observing the changes in the comfort score, it can be judged whether the treatment measures have effectively improved the patient's physical comfort. Through the above analysis, pathological information and sleeping information can be combined to accurately evaluate the patient's physical comfort information in various parts of the body, providing an important reference for medical care and treatment, so as to improve the patient's quality of life and treatment effect.

[0076] In some optional embodiments, determining the physical comfort information of various parts of the patient's body based on the pathological information and the sleeping information includes: determining expected pressure data of various parts of the patient's body based on the pathological information; determining current pressure data of various parts of the patient's body based on the sleeping information; and comparing the current pressure data with the expected pressure data of the same part of the patient's body to obtain the physical comfort information.

[0077] Specifically, musculoskeletal diseases: For patients with spinal diseases (such as cervical spondylosis, lumbar disc herniation, etc.), the expected pressure data will vary according to the severity and specific location of the disease. For example, for patients with lumbar disc herniation, the expected waist pressure should be as small as possible to reduce the pressure on the intervertebral disc, and the expected waist pressure range may be 0-30kPa to avoid aggravating the condition. For patients with fractures, the pressure at the injured part is expected to be close to zero to prevent secondary damage to the fracture. For example, in the case of a leg fracture, the expected pressure in the injured area of ​​the leg may be 0kPa, and the pressure expectations in other parts of the body will also be adjusted according to different fracture conditions to avoid stress on the fracture site due to pressure transfer.

[0078] Cardiovascular disease: For patients with heart failure, it is expected that the upper body pressure is low, especially in the chest and head areas, to reduce the burden on the heart. It may be expected that the chest pressure is 20-40kPa, the head of the bed is slightly higher, and the head pressure is 10-20kPa to promote venous return and reduce the preload of the heart. For patients with hypertension, it is expected that the head pressure and upper body pressure are kept within a certain range to avoid abnormal fluctuations in blood pressure. Generally speaking, a head pressure of about 15-30kPa is more appropriate, and at the same time, it is necessary to avoid excessive or too low head pressure to avoid affecting brain blood perfusion and blood pressure regulation.

[0079] Respiratory diseases: For patients with chronic obstructive pulmonary disease (COPD) or asthma, it is expected that the chest and abdominal pressures are low to ensure smooth breathing. The chest pressure is expected to be 20-30kPa and the abdominal pressure is 30-40kPa to avoid excessive pressure on the respiratory muscles and thoracic movement, which helps to improve respiratory function.

[0080] The sleeping information includes the parts of the patient's body that are in contact with the bed and the amount of pressure on these parts. By analyzing the sleeping information, the actual pressure of each part of the patient's body in the current sleeping state can be determined. For example, if the sleeping information shows that the patient is in a side-lying position, the pressure data of the shoulder, hip, side of the leg, etc. on one side of the body when lying on the side can be obtained from the measurement results of the pressure sensor. Assuming that the pressure sensor measurement value of the shoulder when lying on the side is 60kPa, the hip is 80kPa, and the side of the leg is 50kPa, these are the current pressure data.

[0081] Compare the current pressure data with the expected pressure data of the same body part of the patient to obtain the body comfort information: Comparison method and comfort evaluation: Difference calculation: Calculate the difference between the current pressure data and the expected pressure data of each body part. Taking the waist as an example, if the current waist pressure is 50kPa and the expected waist pressure is 30kPa, the difference is 20kPa. The larger the difference, the farther it deviates from the expected state. Comfort grading: The comfort is graded according to the size of the difference. The comfort can be divided into several levels, such as comfort, slight discomfort, moderate discomfort and severe discomfort. If the difference is within the range of ±10kPa, it can be considered that the part is in a comfortable state, and the comfort level can be marked as "comfortable". If the difference is within the range of ±20kPa, it is marked as "slight discomfort". If the difference is within the range of ±30kPa, it is marked as "moderate discomfort". If it exceeds ±30kPa, it is marked as "severe discomfort".

[0082] S500: Determine adjustment information of a support module on a hospital bed according to the body comfort information and preset comfort information.

[0083] Specifically, the preset comfort information is pre-set based on medical experience and ergonomic principles, and is used as standard information to guide the adjustment of the bed support module. Different parts of the body have different comfortable pressure ranges and ideal posture angles. For example, for the head, the preset comfortable pressure range may be between 10kPa and 20kPa, and the ideal head of bed elevation angle is between 0° and 30° to ensure smooth blood circulation and breathing in the head while avoiding excessive pressure on the neck. For the back, the preset comfortable pressure range may be between 30kPa and 50kPa, and the corresponding back support module should remain relatively flat or tilted at a certain small angle to ensure that the spine is in a normal physiological curve and avoid excessive bending or extension. For the buttocks, the comfortable pressure range may be between 40kPa and 70kPa, and the support module needs to provide sufficient support to prevent the buttocks from sinking or being subjected to excessive pressure.

[0084] For each body part, the actual pressure data in the body comfort information is compared with the comfortable pressure range in the preset comfort information. Taking the waist as an example, if the body comfort information shows that the waist pressure is 80kPa, and the comfortable pressure range of the waist in the preset comfort information is 30kPa to 50kPa, then the waist support module needs to be adjusted because the current pressure exceeds the comfortable range. For the shoulder, if the body comfort information shows that the shoulder pressure is 20kPa, and the comfortable pressure range of the shoulder in the preset comfort information is 25kPa to 40kPa, then the shoulder support module may need to be fine-tuned to increase the pressure.

[0085] Posture angle comparison: In addition to pressure comparison, posture angle should also be considered. For example, if the patient is in a semi-recumbent position, but the angle of the head of the bed does not match the preset ideal angle, it also needs to be adjusted. Assuming that the preset semi-recumbent angle of the head of the bed is 30°, and the actual angle of the head of the bed is 20° based on the sleeping information and body comfort information, the head of the bed support module needs to be raised.

[0086] For situations where the pressure exceeds the comfort range, the adjustment range is calculated based on the difference. Continuing with the waist as an example, the actual pressure is 80kPa, and the upper limit of the comfort range is 50kPa. The adjustment range needs to reduce the pressure by about 30kPa. According to the performance and adjustment mechanism of the bed support module, it is necessary to lower the height of the waist support module or adjust its elastic coefficient to reduce the pressure. If the pressure is lower than the comfort range, such as the shoulder pressure is 20kPa, and the comfort range is 25kPa to 40kPa, the shoulder support module needs to be raised to increase the pressure. This involves the extension and retraction of the electric push rod, the pressure adjustment of the gas spring, or the pressure change of the hydraulic device. The specific adjustment range is determined based on the pressure difference and the performance curve of the support module.

[0087] Angle adjustment: For posture angle adjustment, calculate the difference between the actual angle and the preset angle. If the head of the bed needs to be adjusted from 20° to 30°, then the angle and direction of rotation should be determined based on the angle adjustment mechanism of the support module, such as an electric push rod or mechanical structure.

[0088] Comprehensive adjustment: It is necessary to consider the adjustment needs of multiple parts of the body. For example, if the pressure of the waist and hips need to be adjusted, the mutual influence between them should be considered. If the waist support module is lowered and the hip support module is raised at the same time, it is necessary to ensure that the adjustment process does not cause the patient's body posture to be unbalanced, avoiding new discomfort or safety issues.

[0089] S600. Adjust the support module according to the adjustment information to put the patient at a preset comfort level, where the preset comfort level represents the comfort level indicated by the preset comfort level information.

[0090] Specifically, before adjusting the bed, the generated adjustment plan needs to be sent to the nursing staff or doctor for confirmation, that is, the comfort information of each part of the patient on the bed and the adjustment information of the specific support module are sent to the nursing staff or doctor to confirm whether to adjust, and the nursing staff or doctor can observe in real time in front of the bed / in front of the monitoring video that can show the whole picture of the patient, so as to prevent excessive adjustment or adjustment errors. The control system of the bed obtains the adjustment information from the previous analysis process, which is usually stored in the memory or database in the form of structured data (such as the JSON format mentioned above). The control system needs to parse this information and convert it into specific control instructions for each support module. Generate control instructions: For hydraulic or pneumatic support modules, control the working time of the hydraulic pump or air pump and the opening time of the valve according to the adjustment information. For example, to increase the height of the hip support module, the control system will open the air inlet valve to allow gas or hydraulic oil to enter the cylinder of the support module to make the support module rise.

[0091] During the adjustment of the support module, the pressure sensor continuously monitors the pressure changes in various parts of the patient's body to ensure the effectiveness of the adjustment and avoid over-adjustment. For example, when adjusting the lumbar support module, when the control system issues a command to reduce the pressure, it reads the data of the lumbar pressure sensor at the same time, and stops the adjustment action when the pressure approaches the preset comfort range.

[0092] Angle feedback: For angle adjustment, the angle change of the support module is monitored by an angle sensor (such as a gyroscope, encoder, etc.). When adjusting the angle of the head of the bed, the angle sensor will feedback the current angle in real time, and when the preset angle is reached, the control system stops the adjustment action. For example, when adjusting the angle of the head of the bed, the angle sensor data is compared with the target angle in the adjustment information. Once the target angle is reached or approached, the control system will stop the electric actuator motor or close the hydraulic valve.

[0093] Each support module has its designed pressure and angle range, which cannot be exceeded to avoid mechanical failure or harm to the patient. For example, the bedside support module has a maximum angle limit, such as 70°, and the control system must ensure that it does not exceed this range when adjusting the bedside angle. For pressure adjustment, it is necessary to prevent the support module from causing excessive pressure on the patient or putting the patient in an unsafe state. If the pressure adjustment required by the adjustment information causes the support module to exceed its safe pressure range, appropriate adjustments need to be made or an alarm is given.

[0094] Adjustment order and coordination: When considering adjusting multiple support modules at the same time, it is necessary to pay attention to the order and coordination of the adjustments to avoid causing imbalance in the patient's body. For example, when adjusting the back and hip support modules at the same time, the back may be adjusted first, and then the hips may be adjusted after stabilization, or the adjustments may be made slowly and synchronously to ensure the patient's body balance and comfort.

[0095] After completing a round of adjustment, the patient's physical comfort information is re-evaluated through pressure sensors and other monitoring means, and compared with the preset comfort information. If the preset comfort is still not reached, the next round of adjustment is required to adjust the adjustment information until the patient reaches the preset comfort. Through the above steps, the support module is accurately adjusted according to the adjustment information to keep the patient at the preset comfort level, while ensuring the safety, stability and effectiveness of the adjustment process, providing patients with better care and treatment conditions.

[0096] In some optional embodiments, the pressure sensing module includes a plurality of pressure sensing units 234, the support module includes a plurality of support units 230, each of the support units 230 is provided with the pressure sensing unit 234, and the adjusting the support module according to the adjustment information includes: determining the unit adjustment information of one or more of the support units 230 on the bed according to the adjustment information; determining a height adjustment curve of the support unit 230 according to the pathological information, the body comfort information and the unit adjustment information, the height adjustment curve characterizing the adjustment rate of the support unit 230 at different support heights; and adjusting the support height of the support unit 230 according to the height adjustment curve to make the patient at a preset comfort level.

[0097] Specifically, refer to Figure 4-5 , it is necessary to clarify the mapping relationship between the adjustment information and the support unit 230. Since the bed includes multiple support units 230, and each support unit 230 corresponds to a different part of the body, it is necessary to decompose the overall adjustment information into specific support units 230.

[0098] The support unit 230 is composed of a support cylinder 231, a support rod 232, and a support plate 233. The support cylinder 231 pushes the support rod 232, and the support rod 232 moves the support plate 233 synchronously, and the pressure sensing unit 234 on the support plate 233 moves synchronously. The pressure sensing unit 234 can be a pressure sensing pad or multiple sensors evenly distributed, and the specific details are not limited. By adjusting the support height of multiple support units 230, the bed sheet 240 of the bed is correspondingly concave and convex, thereby adjusting the pressure of the bed on different parts of the patient's body.

[0099] For example, the adjustment information may indicate that pressure adjustment is required for the patient's back region, and the back region is supported by a plurality of support units 230. According to the layout of these support units 230 in the back region and their contribution ratios to the back support, the adjustment information is refined into unit adjustment information for each support unit 230. Assuming that the adjustment information requires the overall pressure of the back to be reduced, the pressure reduction amplitude allocated to the support unit 230 located above the back is relatively small, while the pressure reduction amplitude allocated to the support unit 230 located below the back is relatively large, depending on their different effects on the overall back support.

[0100] Pathological information plays a key role in the adjustment of the support unit 230. For example, for patients with heart disease, the adjustment process needs to be slower and more delicate to avoid placing an extra burden on the heart. If the pathological information indicates that the patient has heart failure, then when adjusting the bedside support unit 230, its height adjustment curve needs to be smoother to prevent excessive changes in the heart load caused by rapid changes in the bedside.

[0101] For patients with fractures, the support unit 230 corresponding to the injured part should be adjusted with extra care, and the slope of the height adjustment curve should be smaller to avoid secondary damage to the fractured part. For example, for patients with leg fractures, when adjusting the leg support unit 230, a corresponding height adjustment curve should be formulated according to the severity of the fracture and the healing stage.

[0102] The body comfort information provides the current comfort level of various parts of the body, which can be used to guide the determination of the height adjustment curve. If the comfort level of a certain body part is low, and the current unit adjustment information requires adjustment of the support unit 230 of that part, the adjustment rate and amplitude can be determined based on the difference between the body comfort level and the preset comfort level. For example, if the comfort information of the waist shows that the part is very uncomfortable, the waist support unit 230 needs to be adjusted, and the unit adjustment information shows that the waist support unit 230 needs to be raised, a reasonable height adjustment curve is determined based on the difference between the current waist pressure and the preset comfort pressure, so that the waist support unit 230 is raised at an appropriate rate to avoid causing discomfort to the patient.

[0103] The height adjustment curve can be a time-height function, which describes the height that the support unit 230 should reach at different time points. For example, for a support unit 230 that needs to be raised, it can be a gradually rising curve, with a slow adjustment rate at the beginning to adapt to the patient's body, then gradually speeding up, and finally stabilizing. For different pathological conditions, the height adjustment curve may be different. Taking the head support unit 230 as an example, for ordinary patients, it may be a straight line, that is, uniform speed adjustment; for patients with hypertension, it may be a slow-to-fast curve, first slowly rising, observing the patient's reaction, and then gradually speeding up the adjustment speed.

[0104] For the hydraulic or pneumatic support unit 230 (the power device of the support unit 230 of the present application adopts a cylinder, which is not specifically limited), the height target at different time points is determined according to the height adjustment curve, the opening degree and time of the hydraulic or pneumatic valve are controlled, and liquid or gas is injected or discharged into the support unit 230 to achieve height adjustment. For example, according to the height target of the curve at a certain moment, the required amount of gas or liquid is calculated, and the air pump or hydraulic pump and valve are controlled to make the support unit 230 reach the height.

[0105] During the adjustment process, the pressure change is monitored in real time by the pressure sensing unit 234 and the angle of the support unit 230 is monitored by the angle sensor to ensure that the adjustment process complies with the height adjustment curve.

[0106] If the patient's body comfort information changes during the adjustment process, the height adjustment curve needs to be adjusted dynamically. For example, during the adjustment process, the patient's body pressure distribution does not meet expectations. According to the real-time body comfort information, the subsequent adjustment curve is adjusted to ensure that the patient is always close to the preset comfort level.

[0107] For abnormal situations that may occur, such as when the support unit 230 reaches the limit position or the patient complains of discomfort, it is necessary to suspend the adjustment or take corresponding safety measures to avoid causing harm to the patient.

[0108] In some optional embodiments, a corresponding height adjustment curve is formulated according to the severity and healing stage of the fracture, including: obtaining the degree of fracture and the healing stage; determining the corresponding adjustment curve according to the degree of fracture and the healing stage, wherein the degree of fracture includes mild fracture, moderate fracture and severe fracture, and the healing stage includes inflammation stage, repair stage and remodeling stage.

[0109] Specifically, for minor fractures: During the inflammatory phase, the height adjustment curve should be very gentle to avoid any additional pressure or movement on the fracture site. For example, the adjustment rate can be set to no more than 1-2 mm per day, because the fracture site is relatively fragile at this time, and even the slightest external force may affect healing. The adjustment curve formula is: ,in represents the height adjustment at time t (day), assuming the initial height is mm, then at day t, the height is Millimeters.

[0110] During the repair period, the adjustment rate can be accelerated appropriately, but still be cautious, such as setting it to 2-3 mm per day, because the callus begins to form but is still not strong enough. The adjustment curve formula is: , this function indicates that after entering the repair period, the adjustment speed gradually increases, and the starting height is mm (height at the end of the inflammatory phase, determined by the duration of inflammation), Represents the amount of altitude adjustment at time t (days).

[0111] During the remodeling period, as the callus is reshaped, the adjustment speed can be gradually accelerated according to the healing situation, such as 3-5 mm per day, but attention should still be paid to observing the patient's reaction and the situation of the fracture site. The adjustment curve formula can be used as a piecewise function in the early remodeling period (8-12 weeks): ,In the later stage of remodeling, the function can be further adjusted according to the healing situation, e.g. , gradually increase the adjustment speed.

[0112] For moderate fractures: The adjustment rate during the inflammatory phase is slower, perhaps 0.5-1 mm per day, to ensure the stability of the fracture site. The adjustment curve formula is: , make sure the adjustment speed is slow.

[0113] The adjustment rate during the repair period is 1-2 mm per day to avoid affecting the formation and stability of callus. The adjustment curve formula is: , adjusting at a slower pace than for mild fractures.

[0114] The adjustment rate can be gradually increased during the remodeling period, but it should be more conservative than that of mild fractures and can be set at 2-4 mm per day to avoid damage to the new callus. The adjustment curve formula is: In the early remodeling period (8-12 weeks): ,In the later stage of remodeling, the function can be further adjusted according to the healing situation, e.g. , gradually increase the adjustment speed.

[0115] For severe fractures: The adjustment rate during the inflammatory phase is extremely slow, perhaps only 1-2 mm per week, because the fracture ends are very unstable and require strict fixation and protection. The adjustment curve formula is: , the time is measured in weeks, and the adjustment speed is extremely slow.

[0116] The repair period also requires caution, and the adjustment rate can be set at 2-3 mm per week to prevent the impact on complex internal or external fixation. The adjustment curve formula is: , ensuring slow adjustments during the recovery period.

[0117] During the remodeling period, the adjustment can be started from 3-4 mm per week and gradually adjusted according to the healing situation, but the fracture site should still be closely observed to avoid affecting the remodeling process due to excessive adjustment. The adjustment curve formula is: Early stage (8-12 weeks): ,In the later stage of remodeling, the function can be further adjusted according to the healing situation, e.g. .

[0118] During the adjustment process, the adjustment curve is adjusted through clinical examination (such as X-ray examination of the healing of the fracture site) and patient feedback (such as pain perception). For example, if the patient feels increased pain during the adjustment process, the adjustment speed should be paused or slowed down and the adjustment curve should be reassessed.

[0119] The beneficial effects of the present invention include: when the present invention obtains an instruction for adjusting the comfort of a hospital bed, the present invention obtains patient pressure information, the patient pressure information is obtained through a pressure sensing module, and the patient pressure information represents pressure distribution information of the patient at various locations on the hospital bed; the patient's sleeping information is determined based on the patient pressure information, the sleeping information represents the body parts of the patient in contact with the bed and the magnitude of pressure exerted on the body parts; the patient's pathological information is obtained, the pathological information represents the patient's medical information and / or physiological information obtained through a physiological monitoring module; the body comfort information of various locations of the patient's body is determined based on the pathological information and the sleeping information; the adjustment information of a support module on the hospital bed is determined based on the body comfort information and preset comfort information; the support module is adjusted based on the adjustment information to place the patient at a preset comfort level, the preset comfort level represents the comfort level indicated by the preset comfort information. By automatically acquiring the pressure data of various parts of the patient's body when the patient is in bed, and comparing it with the pressure data expected by the pathological information, the body comfort information of various parts of the patient's body is determined, thereby determining the adjustment information of the support module on the bed, so that the support module adjusts the corresponding support height to put the patient in a preset comfort level. Therefore, the present application can automatically adjust the comfort level of the bed so that the patient can rest better.

[0120] like Figure 6 As shown, Figure 6 The structure block diagram of a controller 1000 provided according to an embodiment of the present application is shown. The components of the controller 1000 include but are not limited to a memory 1200 and a processor 1100. The processor 1100 is connected to the memory 1200 via a bus, and the memory 1200 is used to store data.

[0121] The controller 1000 also includes an access device that enables the controller 1000 to communicate via one or more networks. Examples of these networks include a combination of a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a communication network such as the Internet. The access device 340 may include one or more of any type of network interface (e.g., a network interface card (NIC)) of wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a global interconnection for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, a near field communication (NFC) interface, and the like.

[0122] The controller 1000 may be any type of stationary or mobile electronic device, including a mobile computer or mobile electronic device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable electronic device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary electronic device such as a desktop computer or a PC. The controller 1000 may also be a mobile or stationary server.

[0123] The processor 1100 is used to execute computer executable instructions of the method for intelligently adjusting comfort level.

[0124] The above is a schematic scheme of a controller of this embodiment. It should be noted that the technical scheme of the controller and the technical scheme of the above-mentioned intelligent comfort adjustment method belong to the same concept, and the details not described in detail in the technical scheme of the controller can be referred to the description of the technical scheme of the above-mentioned intelligent comfort adjustment method.

[0125] According to an embodiment of the present application, a comfort intelligent adjustment system is also provided. The comfort intelligent adjustment system includes a hospital bed, in which a controller 1000 is installed, or the hospital bed and the controller 1000 are connected by communication, so that the hospital bed can adjust the hospital bed through the controller 1000. It should be noted that the technical solution of the comfort intelligent adjustment system and the technical solution of the above-mentioned comfort intelligent adjustment method belong to the same concept, and the details of the technical solution of the comfort intelligent adjustment system that are not described in detail can be found in the description of the technical solution of the above-mentioned comfort intelligent adjustment method.

[0126] An embodiment of the present application also provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned intelligent comfort adjustment method is implemented.

[0127] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory may include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and are implemented to be located in one place, or may also be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0128] It will be appreciated by those skilled in the art that all or some of the steps and systems in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0129] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above implementation mode. Technical personnel familiar with the field can also make various equivalent modifications or substitutions under the shared conditions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for intelligently adjusting comfort, characterized in that: The intelligent comfort adjustment method comprises: Acquire patient pressure information, wherein the patient pressure information is obtained by comparing pressure data acquired by a pressure sensing module with a first threshold, a first preset model, and a second threshold to obtain a deviation area, and the pressure data corresponding to the deviation area is removed from the pressure data acquired by the pressure sensing module, and the patient pressure information represents pressure distribution information of the patient at various locations on the bed; Determining the patient's sleeping information according to the patient's pressure information, wherein the sleeping information represents the body parts of the patient in contact with the bed and the magnitude of the pressure on the body parts; Acquiring pathological information of the patient, wherein the pathological information represents the patient's medical information and / or physiological information acquired by a physiological monitoring module; Determining body comfort information of various parts of the patient's body according to the pathological information and the sleeping information; Determining adjustment information of a support module on the hospital bed according to the body comfort information and preset comfort information; The support module is adjusted according to the adjustment information to put the patient at a preset comfort level, where the preset comfort level represents the comfort level indicated by the preset comfort level information.

2. The method for intelligently adjusting comfort level according to claim 1, characterized in that: The pressure sensing module is arranged on the supporting module, and the supporting module is arranged on the hospital bed and used to support the patient. The obtaining of the patient pressure information includes: Acquiring pressure data acting on the supporting module through the pressure sensing module; configuring the pressure in the pressure data that is greater than a first threshold as the external object pressure; Comparing the first pressure region of the external object pressure with the second pressure region in the first preset model to obtain a first comparison result; In the case where the first comparison result indicates that the deviated region exists in the first pressure region, the patient pressure region is obtained after the deviated region is removed from the first pressure region, and the deviated region represents a region whose similarity with the corresponding region in the second pressure region is less than a second threshold; The pressure data corresponding to the patient pressure area is configured as the patient pressure information.

3. The method for intelligently adjusting comfort level according to claim 2, characterized in that: The step of comparing the first pressure region of the external object pressure with the second pressure region in the first preset model to obtain a first comparison result includes: Comparing the first pressure region with each second pressure region in the first preset model by similarity to obtain an optimal pressure region, wherein the optimal pressure region represents the second pressure region having the highest similarity to the first pressure region; Dividing the first pressure area into a plurality of first pressure sub-areas according to a preset segmentation rule; The first pressure sub-region is compared with the corresponding second pressure sub-region in the optimal pressure region for similarity, and the first pressure sub-region whose similarity is less than a second threshold is configured as the deviation region.

4. The method for intelligently adjusting comfort level according to claim 3, characterized in that: After comparing the first pressure sub-region with the corresponding second pressure sub-region in the optimal pressure region for similarity, the method further includes: When the similarity between the first pressure sub-region and the second pressure sub-region corresponding to the optimal pressure region is greater than or equal to a second threshold, obtaining pressure change information of the first pressure sub-region within a preset time; When the pressure change information indicates that the pressure in the first pressure sub-region does not change within a preset time, the first pressure sub-region is configured as the deviation region.

5. The method for intelligently adjusting comfort level according to claim 1, characterized in that: The determining the patient's sleeping information according to the patient's pressure information includes: Comparing the patient pressure information with a preset pressure distribution model to obtain the patient's sleeping position, wherein the preset pressure distribution model represents a pre-established pressure distribution model corresponding to different sleeping positions; determining the contact pressure between each body part of the patient and the bed according to the patient's sleeping posture and the patient's pressure information; The sleeping posture of the patient and the contact pressure between each body part of the patient and the bed are configured as the sleeping information.

6. The method for intelligently adjusting comfort level according to claim 1, characterized in that: The step of determining the body comfort information of various parts of the patient's body according to the pathological information and the sleeping information includes: Determining expected pressure data at various parts of the patient's body according to the pathological information; determining current pressure data of various parts of the patient's body according to the sleeping information; The body comfort information is obtained by comparing the current pressure data with the expected pressure data of the same body part of the patient.

7. The method for intelligently adjusting comfort level according to claim 1, characterized in that: The pressure sensing module includes a plurality of pressure sensing units, the support module includes a plurality of support units, each of the support units is provided with the pressure sensing unit, and the adjusting the support module according to the adjustment information includes: Determining unit adjustment information of one or more support units of the bed according to the adjustment information; determining a height adjustment curve of the support unit according to the pathological information, the body comfort information and the unit adjustment information, wherein the height adjustment curve represents an adjustment rate of the support unit at different support heights; The supporting height of the supporting unit is adjusted according to the height adjustment curve to make the patient at a preset comfort level.

8. A controller, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the intelligent comfort adjustment method according to any one of claims 1 to 7 when executing the computer program.

9. A comfort intelligent adjustment system, characterized in that: include: The controller of claim 8.

10. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the intelligent comfort adjustment method described in any one of claims 1-7.

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