A method, controller, system and storage medium for intelligent adjustment of comfort

Abstract

The embodiment of the present invention provides a method, controller, system and storage medium for intelligent comfort adjustment, the method comprising: obtaining patient pressure information, the patient pressure information being obtained through a pressure sensing module; determining the patient's sleeping information based on the patient pressure information; obtaining the patient's pathological information; determining the body comfort information of various parts of the patient's body based on the pathological information and the sleeping information; determining the adjustment information of the support module on the hospital bed based on the body comfort information and preset comfort information; and adjusting the support module based on the adjustment information. The method automatically obtains pressure data on various parts of the patient's body while the patient is in bed, determines the body comfort information of various parts of the patient's body, and thereby determines the adjustment information of the support module on the hospital bed, so that the support module adjusts the corresponding support height to keep the patient at the preset comfort level. Therefore, the present application can automatically adjust the comfort level of the hospital bed, allowing the patient to better recuperate.

Description

Technical Field

[0001] The present invention relates to, but is not limited to, the field of 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 find it difficult to actively adjust to a comfortable sleeping position due to physical limitations. Meanwhile, for some elderly patients or those with fractures or wounds in their hands and feet, if the fractures or wounds are not properly positioned for comfort during sleep, it can easily lead to 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, controller, hospital bed and 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:

[0007] Obtaining patient pressure information, the patient pressure information being 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 region, and removing pressure data corresponding to the deviation region from the pressure data acquired by the pressure sensing module, the patient pressure information representing pressure distribution information of the patient at various locations on the bed;

[0008] determining the patient's sleeping information based on the patient's pressure information, wherein the sleeping information represents the body parts of the patient in contact with the bed and the pressure exerted on the body parts;

[0009] Acquiring pathological information of the patient, where the pathological information represents the patient's medical information and / or physiological information acquired by a physiological monitoring module;

[0010] determining physical comfort information of various parts of the patient's body based on the pathological information and the sleeping information;

[0011] determining adjustment information of a support module on the hospital bed according to the body comfort information and preset comfort information;

[0012] The support module is adjusted according to the adjustment information to place the patient at a preset comfort level, where the preset comfort level represents the comfort level indicated by the preset comfort level information.

[0013] In some optional embodiments, the pressure sensing module is disposed on the support module, which is disposed on a hospital bed and is used to support a patient, and obtaining the patient's pressure information includes:

[0014] acquiring pressure data acting on the supporting module through the pressure sensing module;

[0015] configuring the pressure in the pressure data that is greater than a first threshold as the external object pressure;

[0016] 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;

[0017] If the first comparison result indicates that a deviated region exists in the first pressure region, the deviated region is removed from the first pressure region to obtain a patient pressure region, where the deviated region represents a region whose similarity to a corresponding region in the second pressure region is less than a second threshold;

[0018] The pressure data corresponding to the patient pressure area is configured as the patient pressure information.

[0019] 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:

[0020] Comparing the first pressure region with each second pressure region in the first preset model for 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;

[0021] dividing the first pressure region into a plurality of first pressure sub-regions according to a preset segmentation rule;

[0022] 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 with a similarity smaller than a second threshold is configured as the deviation region.

[0023] 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:

[0024] acquiring 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;

[0025] When the pressure change information indicates that no pressure change occurs in the first pressure sub-region within a preset time, the first pressure sub-region is configured as the deviation region.

[0026] In some optional embodiments, determining the patient's sleeping information based on the patient's pressure information includes:

[0027] Comparing the patient's 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;

[0028] 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;

[0029] The patient's sleeping posture and the contact pressure between each body part of the patient and the bed are configured as the sleeping information.

[0030] 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:

[0031] determining expected pressure data at various parts of the patient's body according to the pathological information;

[0032] determining current pressure data of various parts of the patient's body according to the sleeping information;

[0033] 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.

[0034] 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:

[0035] determining unit adjustment information of one or more support units on the bed according to the adjustment information;

[0036] 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;

[0037] The support height of the support unit is adjusted according to the height adjustment curve to keep the patient at a preset comfort level.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] The beneficial effects of the present invention include: when the present invention obtains an instruction for adjusting the comfort of a hospital bed, it obtains patient pressure information, the patient pressure information is obtained through a pressure sensing module, and the patient pressure information represents the pressure distribution information of the patient at various parts of the hospital bed; the patient's sleeping information is determined based on the patient pressure information, and the sleeping information represents the parts of the patient's body in contact with the bed and the amount of pressure exerted on the parts of the body; the patient's pathological information is obtained, and 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 parts of the patient's body is determined based on the pathological information and the sleeping information; the adjustment information of the support module on the hospital bed is determined based on the body comfort information and the preset comfort information; the support module is adjusted based on the adjustment information to make the patient at a preset comfort level, and the preset comfort level represents the comfort level indicated by the preset comfort information. By automatically obtaining 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 make the patient at a preset comfort level. Therefore, the present application can automatically adjust the comfort level of the bed so that the patient can rest better.

[0042] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes 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

[0043] Figure 1 This is a flowchart of the steps of a method for intelligently adjusting comfort provided by an embodiment of the present invention;

[0044] Figure 2 1 is a structural diagram of a hospital bed provided by an embodiment of the present invention;

[0045] Figure 3 is a schematic diagram of the distribution of support modules provided in an embodiment of the present invention;

[0046] Figure 4 is a schematic diagram of a support unit provided in an embodiment of the present invention;

[0047] Figure 5 is a schematic diagram of adjusting multiple support units provided by an embodiment of the present invention;

[0048] Figure 6 This is a schematic diagram of a controller provided by an embodiment of the present invention.

[0049] Reference numerals: controller 1000 , processor 1100 , memory 1200 ;

[0050] 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;

[0051] 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 plate 233, pressure sensing unit 234, bed sheet 240;

[0052] Second air cylinder 310, second air rod 311, third air cylinder 320, third air rod 321;

[0053] Base 400 and brake universal wheel 410. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to 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 intended to limit the present invention.

[0055] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps shown or described may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. The terms "first," "second," and the like in the specification, claims, or accompanying drawings are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.

[0056] Hospital beds are commonly used in hospitals, health centers or health service centers.

[0057] Patients often find it difficult to actively adjust to a comfortable sleeping position due to physical limitations. Meanwhile, for some elderly patients or those with fractures or wounds in their hands and feet, if the fractures or wounds are not properly positioned for comfort during sleep, it can easily lead to pain.

[0058] 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.

[0059] 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.

[0060] like Figure 1 As shown, an embodiment of the present invention provides a method for intelligently adjusting comfort, including:

[0061] S100. Obtain patient pressure information. 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.

[0062] It should be noted that, referring 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 of the patient's body that may be in contact, such as the head, back, buttocks, legs, etc., to comprehensively obtain the pressure distribution information of the patient in various parts of the bed.

[0063] In some embodiments, the pressure sensing module is arranged on the support module, and the support module is arranged on a hospital bed for supporting a patient. The obtaining of patient pressure information includes: obtaining pressure data acting on the support module through the pressure sensing module; configuring the pressure greater than a first threshold in the pressure data as external object pressure; comparing the first pressure area of the external object pressure with the 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.

[0064] Specifically, refer to Figure 2-3 The pressure sensing module is installed on the support module, which supports the patient. Therefore, the pressure sensing module can directly sense the pressure acting on the support module. When the patient lies in bed, various parts of their body exert pressure on the support module. The pressure sensing module converts this pressure into measurable data such as electrical signals, thereby acquiring pressure data on the support module. This pressure data reflects the pressure at the point of contact between the patient's body and the support module, but may also include pressure from other factors (such as objects placed on the bed or caregivers sitting by the bed). Therefore, some of the pressure in the acquired pressure data may not originate from the patient's body, but rather from objects (such as items placed on the bed) or other people (such as caregivers). To distinguish these interfering pressures, a first threshold is set. Pressure data above the first threshold is designated as external object pressure (i.e., pressure data from a quilt not located on the bed). This is because, under normal circumstances, the pressure exerted by the patient on the support module is relatively high. By setting an appropriate first threshold, these possible external object pressures can be effectively filtered 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 lower than this range, it can be preliminarily determined that the pressure is caused by the quilt, sheets, mattress, etc. on the bed.

[0065] The first pressure region configured as the external object pressure is compared with the second pressure region in the first preset model. The first preset model is pre-established based on experience or extensive experimental data. It represents the pressure distribution that a patient in a hospital bed might experience under normal circumstances. The second pressure region is the model's regional description of the potential patient-induced bed pressure. By comparing the first and second pressure regions, it can be determined whether the currently acquired external object pressure region meets expectations (i.e., the region where the patient's pressure on the bed is applied). This comparison can be performed by calculating metrics such as similarity and overlap between the two regions.

[0066] If the first comparison result indicates the presence of a deviated region in the first pressure zone, it indicates a significant difference between the current external object pressure zone and the corresponding region in the preset model. A deviated region here refers to a region whose similarity with the corresponding region in the second pressure zone is less than a second threshold. For example, if the similarity between pressure region A near the buttocks in the first pressure zone and pressure region B near the buttocks in the second pressure zone is less than a second threshold (e.g., 40%, not specifically limited), pressure region A is designated as a deviated region, meaning that pressure region A does not represent the pressure region generated by the patient's body on the bed. The second threshold is a pre-set measure of similarity. If the similarity is below this threshold, the region is considered to differ significantly from the expected patient pressure region and may be abnormal. These deviated regions are removed from the first pressure zone to eliminate abnormal pressure data and obtain a more accurate pressure region that is truly relevant to the patient's body, namely, the patient pressure region. The pressure data corresponding to the patient pressure region is configured as patient pressure information. After the above steps have eliminated the abnormalities in the external object pressure, the resulting patient pressure region can more accurately reflect the pressure distribution of the patient's body on the support module.

[0067] 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: performing similarity comparison between the first pressure area and each second pressure area in the first preset model to obtain an optimal pressure area, wherein the optimal pressure area represents 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; performing similarity comparison between the first pressure sub-area and the corresponding second pressure sub-area in the optimal pressure area, and configuring the first pressure sub-area whose similarity is less than a second threshold as the deviation area.

[0068] Specifically, the first pressure region is compared with each second pressure region in the first preset model for similarity. During 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 the two regions. By comparing all the second pressure regions in the first preset model one by one, the second pressure region with the highest similarity to the first pressure region is found and defined as the optimal pressure region. The purpose of this step is to provide a relatively close reference region for subsequent more detailed comparisons, because the optimal pressure region is the most similar to the current first pressure region as a whole. Further analysis based on this can more accurately determine abnormal conditions.

[0069] The first pressure region is divided into multiple first pressure sub-regions according to preset segmentation rules. The preset segmentation rules can be determined based on actual needs and the characteristics of the pressure region. For example, the first pressure region can be segmented according to a fixed size, evenly dividing the first pressure region into several small rectangular regions; or segmented according to the characteristics of the pressure distribution, with more dense divisions in areas with large pressure variations. The specific division rules are not limited here. By dividing the first pressure region into multiple sub-regions (first pressure sub-regions), the pressure conditions in each local area can be analyzed more accurately, because different sub-regions may have different pressure sources and characteristics, which can improve the accuracy of pressure data analysis.

[0070] A similarity comparison is performed between the first pressure sub-region and the corresponding second pressure sub-region within the optimal pressure region. "Corresponding" here refers to corresponding sub-regions in spatial location or logical relationship. This means comparing a sub-region at a certain location in the first pressure region with a sub-region at the same location in the optimal pressure region. The degree of similarity between these sub-regions is measured using the same similarity calculation method. First pressure sub-regions whose similarity falls below a second threshold are designated as deviating regions. The second threshold is a pre-set criterion used to determine whether the difference between sub-regions is sufficiently significant. When the similarity falls below this threshold, the first pressure sub-region is deemed significantly different from the corresponding second pressure sub-region, likely due to an abnormality (such as the unexpected placement of a foreign object), and is therefore designated as a deviating region. This allows for a more detailed and accurate analysis of the relationship between the first pressure region (external object pressure) and the second pressure region in the first preset model, thereby identifying deviating regions and laying the foundation for subsequently determining a more accurate patient pressure region. This approach helps improve the understanding and application of bed pressure data, making analysis based on pressure data more reliable. For example, it can provide more effective information support for determining a patient's sleeping position and physical comfort.

[0071] 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.

[0072] 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 value, 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, just meeting the similarity standard is not enough to completely determine that the pressure situation in the region 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 the change in the size of the pressure value and the frequency of pressure changes. By obtaining this information, we can have a deeper understanding of the dynamic characteristics of the pressure in this sub-region.

[0073] 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 pressure in the first pressure sub-area does not change within the preset time, the first pressure sub-area is configured as a deviation area. Because under normal circumstances, the patient's body in the hospital bed will have some slight movements, or the body's physiological activities will also cause pressure fluctuations. So 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 the 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, thereby obtaining an area that more accurately reflects the patient's body pressure situation, providing more reliable data support for subsequent judgment of the patient's sleeping posture, body comfort, etc. based on pressure information. By screening out deviated areas based on 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 in pressure, thereby improving the analysis accuracy and reliability of bed pressure data. 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.

[0074] In some optional embodiments, when the pressure change information indicates that the pressure of the first pressure sub-area is changing toward a first direction (when the first pressure sub-area is normal, the pressure is toward a second direction, specifically the 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.

[0075] Specifically, if pressure change information indicates that the pressure in a first pressure subregion is changing in a first direction, and it is known that the pressure in the first pressure subregion is normally changing in a second direction (e.g., the second direction is upward, while the first direction is parallel to or diagonally upward from the bed), this indicates that an abnormal change has occurred in the pressure state of that subregion. This change in pressure direction may be caused by the patient's body position adjustment, body movement, or other factors. For example, if the pressure direction of a certain part of the patient's body is perpendicular to the bed and upward, but the pressure direction suddenly changes to parallel to the bed, this may indicate that the patient has made a lateral movement in that part of the body. To more accurately determine the patient's actual body condition, it is necessary to combine the pressure direction characteristics of multiple adjacent first pressure subregions. The pressure changes in adjacent pressure subregions can provide more information to assist in the judgment. For example, if the pressure direction of a first pressure subregion changes abnormally, and the pressure directions of several adjacent subregions also show similar changing trends, it can be preliminarily determined that the patient has made an overall movement or posture change in that part of the body. If the pressure direction changes in adjacent subregions are inconsistent, it may be caused by local body movement. By comprehensively analyzing the pressure direction characteristics of multiple adjacent subregions, a more comprehensive understanding of the condition of the corresponding part of the patient's body can be achieved.

[0076] Based on the above analysis of the pressure orientation characteristics of the first pressure sub-region and its adjacent sub-regions, 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-regions 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 additional support in the sideways direction to maintain body comfort and stability. In this case, 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-region changes, but the change in the adjacent sub-region is not obvious, 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-region to balance the pressure.

[0077] Reference Figure 2If the pressure in the first pressure sub-region corresponding to the patient's upper body is inclined upward and gradually decreases, while the pressure in the first pressure sub-region corresponding to the patient's buttocks and other areas of the lower body is inclined downward and gradually increases, it indicates that the patient needs to stand up. In this case, the first bed board 220 is controlled to rotate upward to assist the patient in standing up. During the standing up process, if the pressure in the first pressure sub-region of the patient's upper body increases, it indicates that the patient is now in a comfortable or ideal state, and the adjustment of the first bed board 220 is stopped. Similarly, if the pressure in the first pressure sub-region of the patient's upper body increases downward after the first bed board 220 rotates upward and stops for a preset time, it indicates that the patient needs to lie flat or adjust his lying position upward. In this case, the first bed board 220 is controlled to rotate downward to assist the patient in lying flat or adjusting his lying position. During the adjustment process, if the pressure in the first pressure sub-region of the patient's upper body decreases, it indicates that the patient is now in a comfortable or ideal state, and the adjustment of the first bed board 220 is stopped.

[0078] The bed board 200 includes a first bed board 220 and a second bed board 210, which are rotatably connected. The bed is provided with a corresponding bed frame 100. The first and second bed boards 220 and 210 are positioned on the bed frame 100. A first stopper 221 is provided on the first bed board 220, a second stopper 211 is provided on the second bed board 210, a third stopper 120 is provided on the first end of the bed frame 100, and a fourth stopper 121 is provided on the second end of the bed frame 100 to prevent patients from falling. The first bed board 220 and the bed frame 100 are directly driven by a first pneumatic cylinder 110. Driven by the first pneumatic cylinder 110, the first pneumatic rod 111 pushes the first connecting block 113, which is rotatably connected to it. The first connecting block 113 is fixedly connected to the bottom of the first bed board 220 and is connected to the first cylinder 110 via a first rotating shaft 112. The second connecting block 131 on the first bed board 220 is rotatably connected to the bed frame 100 via the second rotating shaft 130. The height of the bed frame 100 is adjusted by a second cylinder 310 and a third cylinder 320 located at either end. Specifically, the second cylinder 310 pushes the second pneumatic rod 311, and the third cylinder 320 pushes the third pneumatic rod 321, thereby raising or lowering the bed frame 100. The second and third cylinders 310, 320 are fixed to the first surface of the base 400. Braked universal wheels 410 are attached to the second surface of the base 400, facilitating movement of the bed.

[0079] 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 to be adjusted, the support module will be controlled to change the tilt angle. During the adjustment process, the data of the pressure sensor will also be monitored in real time to ensure that the adjusted support module can meet the patient's needs 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.

[0080] S200: Determine the patient's sleeping information based on 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.

[0081] It's important to note that patient pressure information includes pressure data from different areas of the patient's body on the bed, acquired from the pressure sensor module. This data is crucial for determining the patient's sleeping position, as different sleeping positions can significantly vary the contact points between the body and the bed and the distribution of pressure. For example, when a patient lies flat on their back, pressure is typically evenly distributed across the back, buttocks, and legs; whereas, when a patient lies on their side, pressure is concentrated on one side.

[0082] First, the bed is divided into multiple zones, each corresponding to a different part of the patient's body. This can be determined based on the distribution of the pressure sensor modules 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 zone, a certain pressure threshold is set based on the data collected by the pressure sensor. If the pressure in a certain zone exceeds the threshold, it can be considered that the body part corresponding to this zone is in contact with the bed. For example, assuming the pressure threshold for the head zone is set to 50kPa, when the pressure data collected by the pressure sensor in this zone exceeds 50kPa, it can be determined that the patient's head is in contact with the bed.

[0083] For the part of the body that is 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.

[0084] Combining clinical experience and existing sleeping posture pressure distribution models, 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 the 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.

[0085] The determined patient sleeping position information is stored in the bed's control system and can also be transmitted to medical staff's terminal devices via the communication module, allowing them to monitor the patient's sleeping status at any time. This sleeping position information can provide medical staff with a better understanding of the patient's posture, helping them provide better care services. It can also serve as a basis for subsequent adjustments to the bed's support module to ensure patient comfort and physical stability.

[0086] 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.

[0087] Specifically, the preset pressure distribution model is constructed in advance through extensive experiments and clinical observations. For example, in the supine position, under ideal conditions, the patient's head, back, buttocks, legs, and other parts will exhibit 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 even. In the side-lying position, the pressure on one side of the body will be significantly higher than the other, and the pressure is concentrated in the shoulders, hips, and sides of the legs. In the prone position, the chest and abdomen will experience greater pressure.

[0088] The model can be stored using different data structures, such as a matrix or a multidimensional array, where each element represents the expected pressure value or pressure range for different areas of the bed, while also allowing for different models for patients of different sizes and weights.

[0089] Compare the actual collected patient pressure information with the preset pressure distribution model. Similarity calculation methods such as mean square error (MSE) and cosine similarity can be used. Consider the patient pressure information as a vector, and the preset pressure distribution models for different sleeping positions as vectors. Determine the closest sleeping position by calculating the distance or similarity between the two. For example, if the patient pressure information vector has the highest similarity (minimum MSE) to the preset pressure distribution model vector for the supine position, 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, then the patient is determined to be in the lateral position.

[0090] Once the patient's sleeping position is determined, the contact pressure between various parts of the patient's body and the bed can be more accurately determined based on the pressure distribution characteristics of that sleeping position. For a specific sleeping position, the typical pressure distribution area and range are known. For example, in the side-lying position, based on the pressure distribution characteristics of the side-lying position, the pressure values of the corresponding shoulder, hip, side of the leg, and other parts are further extracted from the patient's pressure information. The pressure sensor data in these areas 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 based on the patient's actual situation. For example, obese patients may experience higher pressure in certain parts of the body, and the pressure information needs to be normalized based on the patient's weight and height information to more accurately determine the contact pressure of each body part.

[0091] Finally, the determined sleeping posture of the patient and the contact pressure between each body part and the bed are integrated to form sleeping information. Sleeping information can be stored in structured data, such as using JSON format:

[0092] {

[0093] "sleepingPosture":"Side-lying position",

[0094] "contactPressure":{

[0095] "shoulder":120kPa,

[0096] "hip":150kPa,

[0097] "legSide":100kPa

[0098] }

[0099] }

[0100] 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.

[0101] Through the above steps, the patient's sleeping position 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 condition in bed and also provides the necessary data support for the intelligent bed's automated adjustment system, so that it can automatically adjust the bed's support modules based on the patient's sleeping position information, improving patient comfort and treatment effectiveness.

[0102] S300: Acquire pathological information of a patient, where the pathological information represents the patient's medical information and / or physiological information acquired by a physiological monitoring module.

[0103] It should be noted that a patient's medical information comes from the hospital's information management system and includes their medical history, current diagnosis, and current treatment plan. For example, a patient's medical history might include chronic conditions such as hypertension, diabetes, or heart disease, or previous surgeries. A current diagnosis might be for an acute condition such as pneumonia or a fracture. Treatment plans might include current medications, required surgery, or rehabilitation training. This information can be stored in the electronic medical record system and accessed through the hospital's information interface. For example, within the hospital's information system, a patient's unique identifier (such as their medical record number) can be used to query their corresponding medical record and extract the corresponding data from the relational database.

[0104] Types and functions of physiological monitoring modules:

[0105] ECG monitoring: An ECG monitor continuously monitors a patient's heart rate, rhythm, and ECG waveform. Electrodes attached to the patient's body detect the heart's electrical activity, converting it into an electrical signal. This signal is then amplified, filtered, and processed to display a clear ECG and calculate parameters such as heart rate and rhythm.

[0106] Blood pressure monitoring: A sphygmomanometer is a common physiological monitoring device, including cuff-type sphygmomanometers and intra-arterial blood pressure monitors. Cuff-type sphygmomanometers compress arteries by inflating air, then measure blood pressure based on pressure changes as blood flow is restored. Intra-arterial blood pressure monitors provide real-time, continuous blood pressure monitoring, sensing pressure changes through a catheter inserted into the artery. This provides more accurate and continuous blood pressure data for critically ill patients.

[0107] 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.

[0108] Respiratory monitoring: There are various methods, such as using a breathing belt wrapped around the patient's chest or abdomen to monitor respiratory rate and depth based on changes in resistance, capacitance, or pressure caused by the expansion and contraction of the chest or abdomen during breathing. Alternatively, a capnography device can be used to measure the carbon dioxide concentration in exhaled air, reflecting the patient's ventilation and gas exchange function. Specific physiological monitoring methods are not limited here.

[0109] Collect information from various sources and integrate medical and physiological information. Data acquisition systems can be used to centrally collect data from various devices. For example, in an intensive care unit, data from various physiological monitoring devices is aggregated into a central monitoring system. The collected data requires data cleaning and preprocessing to remove measurement errors and abnormal data. For example, ECG signals may be subject to interference and noise, which can be removed using filtering algorithms (such as Butterworth filters) to ensure data accuracy. The integrated data can be stored in a centralized database for easy review and subsequent analysis by medical staff. Software systems can also present this information in intuitive charts or reports, such as plotting trends in the patient's vital signs, to help medical staff quickly understand the patient's overall condition. These steps provide comprehensive information about the patient's pathology, providing a solid foundation for medical decision-making, condition assessment, and care planning. This information is also crucial for adjusting bed support modules and optimizing patient comfort and treatment outcomes, as different pathological conditions require different sleeping positions and body support.

[0110] S400: Determine the body comfort information of various parts of the patient's body according to the pathological information and the sleeping information.

[0111] Specifically, consider the impact of pathological information on comfort:

[0112] Musculoskeletal system diseases: For patients with lumbar disc herniation, the pressure and support of the waist while 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 indicates 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 area is crucial. If the leg is fractured, it is necessary to avoid pressure on the fracture site when sleeping. If the corresponding sleeping information shows that the leg pressure is high, it will greatly reduce the comfort of this area.

[0113] Cardiovascular diseases: For patients with heart failure, lying flat may cause breathing difficulties. 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 of the bed 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 experience 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.

[0114] Respiratory Diseases: For patients with chronic obstructive pulmonary disease (COPD), a semi-recumbent or sitting position is generally recommended to improve respiratory function. Body posture, as indicated by the sleep information, is crucial for assessing comfort. If the sleep information indicates a supine position, this may result in breathing difficulties and discomfort. For asthma patients, chest and abdominal pressure can also affect breathing, and comfort assessment should be based on the pressure levels in these areas as reported by the sleep information. If the sleep information indicates excessive chest or abdominal pressure, this may exacerbate breathing difficulties and reduce comfort.

[0115] The comfort level of different parts of the body is analyzed based on the contact pressure between various parts of the patient's body and the bed as recorded in the sleeping information. For example, excessive pressure on the head may cause headaches, while uneven pressure distribution on the back may lead to muscle tension and pain. Under normal circumstances, each body part has a relatively comfortable pressure range in different sleeping positions; exceeding this range will reduce comfort. Different sleeping positions also affect the comfort of different parts of the body. For example, when sleeping on the side, excessive pressure on the shoulders and hips may cause localized pressure; sleeping on the prone position 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 level on the body part will serve as an important basis for assessing comfort.

[0116] Comfort evaluation index: For each body part, 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 indicates extreme discomfort and 10 indicates very comfortable.

[0117] 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.

[0118] For the head, if the patient suffers from hypertension 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; conversely, if the head of the bed is in an appropriate position and the pressure is normal, it can be set to 7 points.

[0119] Overall assessment: This method considers the comfort scores of various body parts and provides an overall comfort assessment. This can be done by weighted averaging or other comprehensive assessment methods, based on the importance of each body part to overall comfort, to calculate the patient's overall comfort score.

[0120] Physical comfort information can be stored in an electronic medical record system or a dedicated patient monitoring system as structured data. For example, it can be stored in JSON format:

[0121] {

[0122] "head": 7,

[0123] "neck": 8,

[0124] "shoulder": 6,

[0125] "back": 5,

[0126] "waist": 3,

[0127] "hip": 4,

[0128] "leg": 7,

[0129] "foot": 8,

[0130] "overallComfort": 5.5

[0131] }

[0132] Each key represents a body part, and the corresponding value represents the comfort score of the part. "overallComfort" represents the overall comfort score.

[0133] Medical staff can adjust care plans based on comfort information, such as adjusting bed support modules or altering the patient's sleeping position. It can also serve as an indicator for long-term condition observation, helping to understand disease progression and treatment effectiveness. For example, by observing changes in comfort scores, it can be determined whether treatment measures have effectively improved the patient's comfort. This analysis, combining pathological and sleeping information, allows for an accurate assessment of comfort levels across the patient's body, providing crucial insights for medical care and treatment, ultimately improving the patient's quality of life and overall treatment outcomes.

[0134] 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.

[0135] Specifically, for musculoskeletal diseases: For patients with spinal diseases (such as cervical spondylosis, lumbar disc herniation, etc.), the expected pressure data will vary depending on the severity and specific location of the disease. For example, for patients with lumbar disc herniation, the expected lumbar pressure should be as small as possible to reduce the pressure on the intervertebral disc. The expected lumbar pressure range may be 0-30kPa to avoid aggravating the condition. For patients with fractures, the expected pressure at the injured part is 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 of 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.

[0136] Cardiovascular Disease: For patients with heart failure, lower upper body pressure is desirable, particularly in the chest and head regions, to reduce the burden on the heart. Chest pressure may be between 20-40 kPa, with the head of the bed slightly elevated, and head pressure between 10-20 kPa to promote venous return and reduce cardiac preload. For patients with hypertension, it is desirable to maintain head and upper body pressure within a certain range to avoid abnormal blood pressure fluctuations. Generally, a head pressure of around 15-30 kPa is appropriate. Avoid excessively high or low head pressure to prevent impacts on cerebral blood perfusion and blood pressure regulation.

[0137] Respiratory diseases: For patients with chronic obstructive pulmonary disease (COPD) or asthma, lower chest and abdominal pressures are desirable to ensure smooth breathing. Chest pressure is expected to be between 20-30 kPa and abdominal pressure is between 30-40 kPa. This avoids excessive pressure on the respiratory muscles and thoracic cage movement, helping to improve respiratory function.

[0138] Sleeping information includes the parts of the patient's body that are in contact with the bed and the amount of pressure applied to these parts. By analyzing this information, we can determine the actual pressure on each part of the patient's body during their current sleeping position. For example, if the sleeping information indicates that the patient is lying on their side, the pressure sensor measurements can be used to obtain pressure data for the shoulder, hip, and side of the leg. Assuming that the pressure sensor measures 60kPa for the shoulder, 80kPa for the hip, and 50kPa for the side of the leg, these are the current pressure data.

[0139] The current pressure data is compared with the patient's expected pressure data for the same body part to obtain comfort information: Comparison Method and Comfort Assessment: Difference Calculation: The difference between the current and expected pressure data for each body part is calculated. 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 greater the deviation from the expected state. Comfort Grading: Comfort is graded based on the size of the difference. Comfort can be divided into several levels, such as comfortable, mild discomfort, moderate discomfort, and severe discomfort. If the difference is within ±10kPa, the area is considered comfortable and the comfort level is marked as "comfortable." If the difference is within ±20kPa, it is marked as "mild discomfort." If the difference is within ±30kPa, it is marked as "moderate discomfort." If it exceeds ±30kPa, it is marked as "severe discomfort."

[0140] S500: Determine adjustment information of a support module on a hospital bed according to the body comfort information and preset comfort information.

[0141] 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 comfort 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 comfort 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 bearing excessive pressure.

[0142] 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. For example, for the waist, if the body comfort information shows a waist pressure of 80kPa, while the preset comfort information shows a comfortable waist pressure range of 30kPa to 50kPa, 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 a shoulder pressure of 20kPa, while the preset comfort information shows a comfortable shoulder pressure range of 25kPa to 40kPa, the shoulder support module may need to be fine-tuned to increase the pressure.

[0143] Posture angle comparison: In addition to pressure comparison, posture angle must also be considered. For example, if the patient is in a semi-recumbent position but the headboard angle does not match the preset ideal angle, adjustment is also necessary. For example, if the preset semi-recumbent headboard angle is 30°, but the actual headboard angle is 20° based on sleep and body comfort information, the headboard support module needs to be raised.

[0144] For situations where the pressure exceeds the comfortable range, the adjustment amplitude 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 amplitude 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 comfortable 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 contraction of the electric push rod, the pressure adjustment of the gas spring, or the pressure change of the hydraulic device. The specific adjustment amplitude is determined based on the pressure difference and the performance curve of the support module.

[0145] Angle adjustment: For posture angle adjustments, 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°, the angle and direction of rotation required will be determined based on the angle adjustment mechanism of the support module, such as an electric actuator or mechanical structure.

[0146] Comprehensive Adjustment: The adjustment needs of multiple body parts must be considered comprehensively. For example, if both the lumbar and hip pressure need to be adjusted, the interplay between them must be considered. If the lumbar support module is lowered and the hip support module is raised simultaneously, it is necessary to ensure that the adjustment process does not cause the patient's body posture to become imbalanced, thereby avoiding new discomfort or safety issues.

[0147] 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.

[0148] Specifically, before any bed adjustments are made, the generated adjustment plan must be sent to the nurse or doctor for confirmation. This involves sending the patient's comfort level information for each part of the bed, along with specific support module adjustment information, to the nurse or doctor for confirmation. The nurse or doctor can then conduct real-time observation at the bedside or in front of a video surveillance system that displays the patient's full view to prevent over-adjustments or errors. The bed's control system receives the adjustment information from the previous analysis process. This information is typically stored in memory or a database as structured data (such as the JSON format mentioned above). The control system parses this information and converts it into specific control instructions for each support module. Control instructions are generated: For hydraulic or pneumatic support modules, the operating time of the hydraulic or air pump and the opening time of the valves are controlled based on the adjustment information. For example, to increase the height of the hip support module, the control system opens the air inlet valve, allowing gas or hydraulic oil to enter the support module's cylinder, causing the support module to rise.

[0149] During adjustments to the support module, pressure sensors continuously monitor pressure changes across the patient's body to ensure effective adjustments and avoid over-adjustment. For example, when adjusting the lumbar support module, the control system issues a pressure reduction command while simultaneously reading data from the lumbar pressure sensor. Adjustment stops when the pressure approaches the preset comfort range.

[0150] Angle Feedback: For angle adjustment, angle sensors (such as gyroscopes and encoders) monitor the angle of the support module. When adjusting the headrest angle, the angle sensor provides real-time feedback on the current angle. When the preset angle is reached, the control system stops the adjustment. For example, when adjusting the headrest angle, the angle sensor data is compared with the target angle specified in the adjustment information. Once the target angle is reached or approached, the control system stops the electric actuator motor or closes the hydraulic valve.

[0151] Each support module has a designed pressure and angle range, which must not be exceeded to prevent mechanical failure or patient injury. For example, the headboard support module has a maximum angle limit, such as 70°. The control system must ensure that this range is not exceeded when adjusting the headboard angle. Pressure adjustment must prevent the support module from excessively compressing the patient or placing the patient in an unsafe position. If the pressure adjustment required by the adjustment information causes the support module to exceed its safe pressure range, appropriate adjustments must be made or an alarm must be issued.

[0152] Adjustment sequence and coordination: When considering adjusting multiple support modules simultaneously, it is important to pay attention to the order and coordination of adjustments to avoid causing imbalance in the patient. For example, when adjusting the back and hip support modules simultaneously, it may be necessary to adjust the back first, stabilize it, and then adjust the hips, or adjust them slowly and synchronously to ensure the patient's balance and comfort.

[0153] After completing one round of adjustments, the patient's comfort level is reassessed using pressure sensors and other monitoring methods and compared with the preset comfort level. If the preset comfort level is still not reached, another round of adjustments is performed, adjusting the information until the patient reaches the preset comfort level. Through these steps, the support module is accurately adjusted based on the adjustment information, maintaining the patient's preset comfort level while ensuring a safe, stable, and effective adjustment process, providing better care and treatment conditions for the patient.

[0154] In some optional embodiments, the pressure sensing module includes multiple pressure sensing units 234, the support module includes multiple support units 230, and each support unit 230 is provided with the pressure sensing unit 234. The adjusting of the support module according to the adjustment information includes: determining the unit adjustment information of one or more support units 230 on the bed according to the adjustment information; determining the 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; adjusting the support height of the support unit 230 according to the height adjustment curve to make the patient at a preset comfort level.

[0155] 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.

[0156] The support unit 230 comprises a support cylinder 231, a support rod 232, and a support plate 233. The support cylinder 231 pushes the support rod 232, which in turn moves the support plate 233. This in turn causes the pressure sensing units 234 on the support plate 233 to move in sync. The pressure sensing units 234 can be pressure sensing pads or multiple evenly distributed sensors, with no specific limitations. By adjusting the support heights of the multiple support units 230, the bed sheet 240 can be recessed or protruded accordingly, thereby adjusting the pressure exerted by the bed on different parts of the patient's body.

[0157] For example, the adjustment information may indicate that pressure adjustment is required for the patient's back region, which is supported by multiple support units 230. Based on the layout of these support units 230 in the back region and their contribution to back support, the adjustment information is refined into unit adjustment information for each support unit 230. Assuming the adjustment information requires a reduction in overall back pressure, the support units 230 located above the back will receive a relatively smaller pressure reduction, while the support units 230 located below the back will receive a relatively larger pressure reduction, due to their different impacts on overall back support.

[0158] Pathological information plays a key role in adjusting the support unit 230. For example, for patients with heart disease, the adjustment process needs to be slower and more precise to avoid placing additional stress on the heart. If the pathological information indicates heart failure, the height adjustment curve of the bedside support unit 230 needs to be more gradual to prevent excessive changes in the heart load caused by rapid changes in the bedside position.

[0159] For patients with fractures, the support unit 230 corresponding to the injured area should be adjusted with extreme caution, and the slope of the height adjustment curve should be smaller to avoid secondary damage to the fractured area. For example, for patients with leg fractures, the height adjustment curve of the leg support unit 230 should be tailored to the severity of the fracture and the stage of healing.

[0160] Body comfort information provides the current comfort level of various parts of the body and can be used to guide the determination of the height adjustment curve. If the comfort level of a particular body part is low, and the current unit adjustment information requires adjustment of the support unit 230 for that part, the rate and magnitude of the adjustment can be determined based on the difference between the body comfort level and the preset comfort level. For example, if the lumbar comfort information indicates that this part is extremely uncomfortable and the lumbar support unit 230 needs to be adjusted, and the unit adjustment information indicates that the lumbar support unit 230 needs to be raised, a reasonable height adjustment curve can be determined based on the difference between the current lumbar pressure and the preset comfort pressure, so that the lumbar support unit 230 can be raised at an appropriate rate to avoid causing discomfort to the patient.

[0161] The height adjustment curve can be a time-height function, describing the desired height of the support unit 230 at different time points. For example, for a support unit 230 that needs to be raised, the curve can be a gradual rise, with the adjustment rate initially slow to accommodate the patient's body, then gradually increasing, and finally stabilizing. The height adjustment curve may differ for different pathological conditions. For example, for a head support unit 230, for a healthy patient, the curve may be a straight line, i.e., a uniform adjustment rate. For a patient with hypertension, the curve may be a slow-to-fast curve, initially rising slowly to observe the patient's response, and then gradually increasing the adjustment rate.

[0162] For the hydraulic or pneumatic support unit 230 (in this application, the power device of the support unit 230 is a cylinder, but this is not limited to this), the target height at different time points is determined based on the height adjustment curve. The opening and timing of the hydraulic or pneumatic valve are controlled to inject or discharge liquid or gas into or out of the support unit 230 to achieve height adjustment. For example, based on the target height at a certain time on the curve, the required amount of gas or liquid is calculated, and the air pump or hydraulic pump and valve are controlled to achieve the desired height of the support unit 230.

[0163] 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.

[0164] If the patient's comfort level changes during the adjustment process, the height adjustment curve needs to be dynamically adjusted. For example, if the patient's body pressure distribution does not match the expected level during the adjustment process, the subsequent adjustment curve will be adjusted based on the real-time comfort information to ensure that the patient always approaches the preset comfort level.

[0165] For possible abnormal situations, 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.

[0166] 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.

[0167] Specifically, for minor fractures:

[0168] 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 slight external forces 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 mm.

[0169] During the repair period, the adjustment rate can be accelerated appropriately, but still with caution, 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).

[0170] During the remodeling phase, as the callus reshapes, the adjustment rate can be gradually increased according to the healing process, such as 3-5 mm per day, but the patient's reaction and the condition of the fracture site should still be carefully observed. 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.

[0171] For moderate fractures:

[0172] During the inflammatory phase, the adjustment rate 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.

[0173] 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.

[0174] During the remodeling phase, the adjustment rate can be gradually increased, but it should be more conservative than that of mild fractures, and can be set at 2-4 mm per day to avoid damaging the new callus. The adjustment curve formula is: In the early remodeling phase (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.

[0175] For severe fractures:

[0176] 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.

[0177] 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 fixation or external fixation. The adjustment curve formula is: , ensuring slow adjustments during the recovery period.

[0178] During the remodeling period, the adjustment can be started from 3-4 mm per week and gradually adjusted according to the healing situation. However, 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. .

[0179] During the adjustment process, the adjustment curve is adjusted based on 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.

[0180] The beneficial effects of the present invention include: when the present invention obtains an instruction for adjusting the comfort of a hospital bed, it obtains patient pressure information, the patient pressure information is obtained through a pressure sensing module, and the patient pressure information represents the pressure distribution information of the patient at various parts of the hospital bed; the patient's sleeping information is determined based on the patient pressure information, and the sleeping information represents the parts of the patient's body in contact with the bed and the amount of pressure exerted on the parts of the body; the patient's pathological information is obtained, and 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 parts of the patient's body is determined based on the pathological information and the sleeping information; the adjustment information of the support module on the hospital bed is determined based on the body comfort information and the preset comfort information; the support module is adjusted based on the adjustment information to make the patient at a preset comfort level, and the preset comfort level represents the comfort level indicated by the preset comfort information. By automatically obtaining 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 make the patient at a preset comfort level. Therefore, the present application can automatically adjust the comfort level of the bed so that the patient can rest better.

[0181] like Figure 6 As shown, Figure 6 1 shows a block diagram of a controller 1000 according to an embodiment of the present application. The components of the controller 1000 include, but are not limited to, a memory 1200 and a processor 1100. The processor 1100 and the memory 1200 are connected via a bus, and the memory 1200 is used to store data.

[0182] 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 public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks 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)) that may be wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a World Wide Interoperability 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.

[0183] 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 computer, etc.), a mobile phone (e.g., a smartphone), a wearable electronic device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary electronic device such as a desktop computer or PC. The controller 1000 may also be a mobile or stationary server.

[0184] The processor 1100 is configured to execute computer executable instructions of the method for intelligently adjusting comfort.

[0185] The above is a schematic diagram of a controller of this embodiment. It should be noted that the technical solution of this controller and the technical solution of the above-mentioned intelligent comfort adjustment method are based on the same concept. For details not described in detail in the technical solution of the controller, please refer to the description of the technical solution of the above-mentioned intelligent comfort adjustment method.

[0186] According to one embodiment of the present application, a system for intelligently adjusting comfort is also provided. The system includes a hospital bed, in which a controller 1000 is installed, or the bed and the controller 1000 are connected via communication, so that the bed can be adjusted via the controller 1000. It should be noted that the technical solution of the intelligent comfort adjustment system and the technical solution of the aforementioned intelligent comfort adjustment method are based on the same concept. For details not described in detail in the technical solution of the intelligent comfort adjustment system, please refer to the description of the technical solution of the aforementioned intelligent comfort adjustment method.

[0187] 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.

[0188] The memory, as a non-transient computer-readable storage medium, 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 device. In some embodiments, the memory may include a memory remotely located relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned networks 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 illustrative, wherein the units described as separate components may or may not be physically separated, and may be located in one place, or may 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.

[0189] Those skilled in the art will appreciate that all or some of the steps and systems described above can be implemented as software, firmware, hardware, or any combination thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is well known to those skilled in the art, the term computer storage media encompasses 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 includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically includes 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.

[0190] 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 art can also make various equivalent modifications or substitutions under the shared conditions that do not violate 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: Applied to a hospital bed, the bed includes multiple support units, and the multiple support units are adjusted according to their layout in the back area and their contribution ratio to back support. The intelligent comfort adjustment method includes: Obtaining patient pressure information, the patient pressure information being 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 region, and removing the pressure data corresponding to the deviation region from the pressure data acquired by the pressure sensing module, the patient pressure information representing pressure distribution information of the patient at various locations on the bed; wherein, pressure in the pressure data that is greater than the first threshold is configured as external object pressure, and a first pressure region of the external object pressure is compared with a second pressure region in the first preset model for similarity to obtain an optimal pressure region, the optimal pressure region representing the second pressure region that has the highest similarity to the first pressure region; and when the similarity between a first pressure subregion of the first pressure region and a corresponding second pressure subregion of the optimal pressure region is greater than or equal to a second threshold, if the first pressure subregion does not experience a pressure change within a preset time, configuring the first pressure subregion as the deviation region; determining the patient's sleeping information based on the patient's pressure information, wherein the sleeping information represents the body parts of the patient in contact with the bed and the pressure exerted on the body parts; Acquiring pathological information of the patient, where the pathological information represents the patient's medical information and / or physiological information acquired by a physiological monitoring module; determining physical comfort information of various parts of the patient's body based on 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 place 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 according to claim 1, characterized in that: The pressure sensing module is provided on the support module, which is provided on a hospital bed and used to support a patient. The step of obtaining the patient's pressure information includes: acquiring pressure data acting on the supporting module through the pressure sensing module; 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; If the first comparison result indicates that the deviated region exists in the first pressure region, the deviated region is removed from the first pressure region to obtain the patient pressure region, where the deviated region represents a region whose similarity to 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 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 for similarity to obtain the optimal pressure region; dividing the first pressure region into a plurality of first pressure sub-regions 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 with a similarity smaller than a second threshold is configured as the deviation region.

4. The method for intelligently adjusting comfort 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: acquiring 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; When the pressure change information indicates that no pressure change occurs in the first pressure sub-region within a preset time, the first pressure sub-region is configured as the deviation region.

5. The method for intelligently adjusting comfort 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's 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 patient's sleeping posture 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 determining of the patient's body comfort information at various locations on the body based on 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 on 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 support height of the support unit is adjusted according to the height adjustment curve to keep 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 according to 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 according to any one of claims 1 to 7.

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