Method for automatically adjusting height of medical bed, medical device and computer program product

Abstract

The invention relates to a method for automatically adjusting the height of a medical bed. The method comprises the steps that firstly, moving mode information of a user is obtained; then acquiring comfortable height information at least according to the moving mode information of the user, wherein the comfortable height information is the medical bed height which is convenient for the user to get on and off the medical bed; adjusting the height of the medical bed to the comfortable height information; wherein the moving mode information of the user comprises at least one of the following items: independent walking, use of a walking stick, use of a transport bed, use of a stretcher and embracing of a baby. According to the method for automatically adjusting the height of the medical bed, a user can conveniently get on and off the medical bed.

Description

Technical Field

[0001] This disclosure relates to the field of information processing, specifically to a method for automatically adjusting the height of a medical bed, as well as a medical device and computer program product. Background Technology

[0002] Medical beds, such as patient transport beds or examination beds for diagnostic equipment like CT scanners and MRI machines, often have height adjustment functions. These beds can be lowered to a certain height to facilitate user access. Therefore, intelligently adjusting the bed to the most suitable height for different users becomes a key area of ​​focus. Summary of the Invention

[0003] In view of this, the present disclosure provides a method for automatically adjusting the height of a medical bed, as well as a medical device and a computer program.

[0004] According to an exemplary embodiment of this disclosure, a method for automatically adjusting the height of a medical bed is characterized by: acquiring user movement mode information; acquiring comfort height information based at least on the user movement mode information, the comfort height information being the height of the medical bed that facilitates the user getting on and off the medical bed; adjusting the height of the medical bed to the comfort height information; wherein the user movement mode information includes at least one of the following: walking independently, using crutches, using a transport bed, using a stretcher, or holding an infant.

[0005] According to an exemplary embodiment of this disclosure, in response to the mobility information being independent walking, the user's body shape information is obtained, and the comfortable height information is obtained at least based on the body shape information; wherein: the body shape information includes at least one of the following: height information, weight information, and lower leg length information.

[0006] According to an exemplary embodiment of this disclosure, in response to the acquired body information being height information, the comfortable height information is calculated as follows:

[0007] Hs = a * H;

[0008] Where Hs is the comfortable height; H is the height of the user; and a is a coefficient that ranges from 0.33 to 0.38.

[0009] According to an exemplary embodiment of this disclosure, in response to the acquired body information being height information and weight information, the comfortable height information is calculated as follows:

[0010] Hs = 350H + 6 × (W - Ws)^1 / 3

[0011] Wherein, Hs is the comfortable height in mm; H is the user's height in m; W is the user's weight in kg; and Ws is the user's standard weight in kg.

[0012] According to an exemplary embodiment of this disclosure, in response to the acquired body information being calf length information, the comfortable height information is calculated as follows:

[0013] Hs = Ht + b

[0014] Wherein, Hs is the comfort height in mm; Ht is the user's lower leg length in mm; and b is the adjustment coefficient, ranging from 0 mm to 250 mm.

[0015] According to an exemplary embodiment of this disclosure, the body size information is automatically acquired using a camera.

[0016] According to an exemplary embodiment of this disclosure, the body information is obtained using at least one of the following sensors: a TOF sensor, a radar sensor, and an ultrasound sensor, wherein the sensor cannot recognize the user's facial information.

[0017] According to an exemplary embodiment of this disclosure, the sensor is a TOF sensor, which captures information about the user at multiple times and combines the information from multiple times to obtain the user's body shape information.

[0018] According to an exemplary embodiment of this disclosure, the comfortable height information is obtained using a trained artificial intelligence algorithm with at least one of the following information: body shape information, the user's gender, the user's age, and the user's gait.

[0019] According to an exemplary embodiment of this disclosure, in response to the mobility information indicating the use of a cane, the method for calculating the comfortable height is as follows:

[0020] Hs = a' * H

[0021] Where Hs is the comfortable height; H is the height of the user; and a' is a coefficient that ranges from 0.36 to 0.45.

[0022] Alternatively, the method for calculating the comfortable height is as follows:

[0023] Hs = Ht + b'

[0024] Wherein, Hs is the comfort height in mm; Ht is the user's lower leg length in mm; and b' is the adjustment coefficient, ranging from 50 mm to 250 mm.

[0025] According to an exemplary embodiment of this disclosure, in response to the mobility information indicating the use of a transport bed, the comfort height information is approximately the same as the height of the transport bed;

[0026] and / or

[0027] In response to the mobility information indicating the use of a stretcher, the comfortable height is:

[0028] Hs = Hd - c

[0029] Where Hs is the comfort height in mm; Hd is the stretcher height in mm; and c is the adjustment coefficient, ranging from 0 mm to 200 mm.

[0030] and / or

[0031] In response to the movement information that the infant is being held, the comfortable height is the maximum height at which the medical bed can be raised or lowered.

[0032] According to an exemplary embodiment of the present disclosure, a medical device is characterized in that it comprises: a medical bed; at least one processor; and a computer storage medium storing a computer program, which, when executed by the at least one processor, implements the method of the embodiments of the present disclosure.

[0033] According to exemplary embodiments of the present disclosure, a computer-readable storage medium storing a computer program, wherein the computer program implements the methods of the embodiments of the present disclosure when executed by a processor.

[0034] According to exemplary embodiments of the present disclosure, a computer program product includes a computer program, wherein the computer program, when executed by a processor, implements the methods of the embodiments of the present disclosure.

[0035] According to the method for automatically adjusting the height of a medical bed provided in this disclosure, the bed can be automatically raised or lowered to a height that is convenient for the user to get in and out, providing convenience for both the user and medical staff. Attached Figure Description

[0036] The preferred embodiments of this disclosure will now be described in detail with reference to the accompanying drawings, which will make the above and other features and advantages of this disclosure more apparent to those skilled in the art. In the drawings:

[0037] Figure 1 This is a flowchart illustrating an exemplary method for automatically adjusting the height of a medical bed according to the present disclosure;

[0038] Figure 2 This is a flowchart of another exemplary method for automatically adjusting the height of a medical bed disclosed herein.

[0039] Figure 3This is a flowchart of another exemplary method for automatically adjusting the height of a medical bed disclosed herein. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this disclosure clearer, the following embodiments are provided to further illustrate this disclosure in detail. It should be understood that the specific embodiments described herein are for illustrative and explanatory purposes only and are not intended to limit this disclosure.

[0041] In one exemplary embodiment, see [link to specific details]. Figure 1 Medical beds have a wide range of applications. Some are used for patient transport, while others are widely used as examination beds for equipment such as X-ray, CT, and MRI scanners. To facilitate users getting on and off medical beds, medical staff can manually adjust the height, but this manual adjustment is not portable and is difficult to guarantee accuracy. The method for automatically adjusting the height of a medical bed in this embodiment includes:

[0042] Step S1: Obtain the user's mode of movement information. The user's mode of movement information includes at least one of the following: independent walking, using crutches, using a transport bed, using a stretcher, or an infant being held. The mode of movement information can also include more categories, such as using a wheelchair. Here, the inventors realized that, to facilitate the user's getting in and out of bed, the height of the medical bed must be determined not only based on the user's height but also related to this mode of movement information. It is easy to understand that the height of an infant being held has no relation to the height required to get in and out of a medical bed. Therefore, obtaining mode of movement information is a particular focus of this disclosure.

[0043] Step S2: Obtain comfort height information based at least on the user's movement pattern information. Comfort height information refers to the height of the medical bed that facilitates the user's getting on and off. In this step, after obtaining the user's movement pattern, the optimal height for the user to get on and off the bed can be determined more accurately based on the category.

[0044] Step S3: Adjust the height of the medical bed to a comfortable height. Typically, this adjustment sends the comfortable height information to the medical bed's firmware, which then drives the bed board to adjust via the bed's drive unit. The entire process is completed automatically by the control system and requires no intervention from medical personnel.

[0045] The three steps described above allow the medical bed to be raised and lowered to a specific height that is convenient for different types of users to get on and off, avoiding the problem of using a single height for all users, which would make it inconvenient for many users to get on and off.

[0046] In an exemplary embodiment, when it is determined that the movement mode information is independent walking, the comfortable height information is correlated with the user's body shape information. The sitting height varies depending on the user's height, and the user's weight, the length of various parts of the torso, especially the lower leg length, all determine the required comfortable sitting height. Height information is the most readily available, often found in medical records. Users (patients) fill in their height information during registration, which can be retrieved from a patient database. When only the user's height information is available, the following formula can be used to calculate the comfortable height information:

[0047] Hs=a*H

[0048] Where Hs represents the comfortable height for the user to get in and out of bed, i.e., the comfort height information; H represents the user's height; and a is a coefficient, ranging from 0.33 to 0.38, preferably between 0.345 and 0.36. This coefficient can be a fixed value within the above range. Generally speaking, the proportions of different parts of the human torso do not vary significantly, and this fixed value can be the average or median of the population, which can be easily obtained through statistics. In statistical analysis, one method is to test the distance between the user's buttocks and the ground when seated (with the thighs roughly parallel to the ground). Another method is to prepare beds of different heights within a certain range around the user's buttocks distance (with the thighs roughly parallel to the ground), allowing the user to get in and out, and then subjectively evaluate which heights are comfortable. The latter statistical method considers not only the physiological indicators of the human torso but also the movement of getting in and out of bed, making it more reliable.

[0049] Besides height information, weight information is also a common input in medical records. When both height and weight information are obtained simultaneously, the following formula can be used to obtain more accurate comfortable height information:

[0050] Hs = 350H + 6 × (W - Ws)^1 / 3

[0051] Where Hs is the comfortable height in mm; H is the user's height in m; W is the user's weight in kg; and Ws is the user's standard weight in kg. Standard weight can be obtained in several ways, such as subtracting 105 from height (in centimeters) (the resulting value is the standard weight in kilograms), or using the BMI method. BMI equals weight (in kilograms) divided by the square of height (in meters). The inventors found that the standard weight method derived from a BMI of 21 is most effective in calculating comfortable height; examples can be found in the table below.

[0052] sample height weight gender age Recommended bed height Hs (mm) 1 1.70 72.5 male 31 609 2 1.80 75 male 24 641 3 1.77 83 male 32 635 4 1.70 50 female 27 582 5 1.64 45 female 30 560

[0053] Taking the examination bed used for examination as an example, more detailed procedures can be found in [link to relevant documentation]. Figure 2 ,exist Figure 2 The process includes:

[0054] Step S1: Input patient data into the diagnostic device;

[0055] Step S2: The diagnostic bed automatically rises / falls to the appropriate height;

[0056] Step S3: The patient gets into bed and completes the examination;

[0057] Step S4: The hospital bed automatically lowers to the appropriate height;

[0058] Step S5: The patient gets out of bed and leaves the consultation room.

[0059] exist Figure 2 In this process, the height of the medical bed is automatically adjusted based on user data (height / weight, etc.) and program logic. This ensures that when a user gets on the bed before diagnosis and gets off after diagnosis, the medical bed is automatically adjusted to the most suitable height for getting on and off, making it convenient for the user and allowing medical staff and operators to focus on the user rather than operating the equipment.

[0060] In one exemplary embodiment, when the lower leg length information is available, the comfort height information can be calculated using the following formula:

[0061] Hs = Ht + b

[0062] Where Hs is the comfortable height in mm; Ht is the user's lower leg length in mm; and b is the adjustment coefficient, ranging from 0 mm to 250 mm, preferably between 0 mm and 150 mm, or between 5 mm and 100 mm. Lower leg length and the comfortable height required for the user to sit down are the most relevant indicators. One approach is to use the lower leg length as the comfortable height (where the thighs are roughly parallel to the ground when seated). However, in practice, a height slightly longer than the lower leg is always more preferred by users. Therefore, a distance longer than the lower leg length can be used as the most comfortable height. Hence, the adjustment coefficient b is used in the formula. The value of b can be a fixed value, or it can be a proportion related to height, for example, b can be 2% to 5% of height.

[0063] In one exemplary embodiment, body shape information is automatically acquired using a camera. Medical records often lack calf length information, and transmitting height and weight information to medical devices may require new manual input, which is inconvenient for doctors. Automated information transmission involves modifications to existing equipment, creating barriers between different brands. Using a camera allows for convenient acquisition of the user's height and calf length information, and based on the user's body contours, their weight can be estimated relatively accurately. For medical examination equipment such as CT and MRI, the camera can be mounted on a rack and can include depth information (i.e., a depth camera), allowing for more accurate acquisition of the user's distance, thereby calculating information such as height, weight, and calf length. For cameras without depth information, pre-calibration can be performed for subsequent measurements; these are existing technologies and will not be elaborated upon here.

[0064] In one exemplary embodiment, body shape information is obtained using at least one of the following sensors: a Time-of-Flight (TOF) sensor, a radar sensor, and an ultrasound sensor. Using a camera to acquire body shape information raises privacy concerns, and the protection of personal privacy is becoming increasingly important. Not only do users not want their facial information recorded, but there is often a need to expose their body on examination beds or hospital beds, making cameras even less acceptable to users. Even if all information is deleted after each acquisition, it is difficult to dispel user concerns. Therefore, to protect privacy, TOF sensors, radar sensors, and ultrasound sensors that cannot recognize facial information are used to acquire the user's body shape information. The TOF sensor should not collect too many data points, with the standard being that it cannot recognize faces or other privacy-related information. For example, a TOF sensor can collect dozens to hundreds of data points, more specifically, 30-200 points. At a sufficient distance, these points are insufficient to identify facial information. Using these sensors, the user cannot see the camera after entering the examination room, which is very positive for the user's experience.

[0065] In one exemplary embodiment, the use of a Time-of-Flight (TOF) sensor is specifically described. While radar and ultrasound can roughly outline a user's contour, TOF, especially with fewer sampling points, may struggle to obtain an effective size of the contour due to the limited number of sampling points. This embodiment captures information from the user at multiple moments and combines this information to obtain the user's body shape information. This is because as long as the user is moving (the user will inevitably travel a considerable distance from entering the examination room to walking to the bedside), the points collected at different times will be different. Utilizing information from different moments is equivalent to increasing the number of sampling points. With more sampling points, more accurate contour information can be obtained, thereby inferring body shape information. It should be noted that regardless of whether a TOF sensor, radar sensor, or ultrasound sensor is used, because they possess depth information, they can detect moving objects. For user target identification, motion information can be used instead of identifying static images, thus avoiding a high false positive rate.

[0066] In one exemplary embodiment, a trained artificial intelligence algorithm is used to calculate the comfort height. One or more of the following information are fed into the pre-trained AI model to obtain comfort height information: body shape, user's gender, user's age, and user's gait. The type of AI algorithm is not specifically limited here. During training, it is preferable to use comfort height information that the user finds more comfortable, as this yields a more ideal value. The inventors found that incorporating gait information leads to better training results, indicating a close correlation between gait and the user's subjectively preferred height information. Since factors such as gender, age, and body type also influence the calculated height, in addition to height and weight as the basis for adjusting the ideal bed height, a combination of artificial intelligence and smart sensors is used to collect patient data and verify the results. Specifically, by using smart sensors with various detection capabilities, combined with the patient's electronic medical record information, the physiological data of the patient awaiting treatment can be collected and matched in real time (including but not limited to height, weight, lower leg length (i.e., knee height), joint positions, body type information, gender, and age). By combining AI algorithms, multi-dimensional patient information can be matched and adjusted with calculated comfort heights. As the amount of collected data increases, this AI-calculated comfort height information can replace the aforementioned formula-based comfort height information. Furthermore, abnormal calculation results can be identified, and more conservative safety strategies (using preset heights) can be implemented to balance the comfort and safety of patients awaiting treatment.

[0067] In one exemplary embodiment, when the user is using a cane, the method for calculating the comfortable height is as follows:

[0068] Hs = a' * H

[0069] Where Hs is the comfortable height; H is the user's height; and a' is a coefficient ranging from 0.36 to 0.45. Here, the coefficient a' is higher than that for users who can walk normally. This is because users using crutches often lack leg strength and are not comfortable in lower positions. Using the same coefficient a as for users who can walk normally would make it relatively difficult for them to get in and out of bed. Adjusting the comfortable height to be higher would be more suitable for people with mobility impairments.

[0070] For users of canes, another method for calculating the comfortable height is:

[0071] Hs = Ht + b'

[0072] Where Hs is the comfortable height in mm; Ht is the user's lower leg length in mm; and b' is the adjustment coefficient, ranging from 50mm to 250mm, with an optimal range of 50mm to 150mm. Here, the coefficient b' should be higher than that for users who can walk normally, for the same reason as above: to provide a higher comfortable height for those with mobility impairments. Information about the user's use of crutches can be obtained either through input from medical personnel (displaying various types on the screen for selection) or through automatic identification using information from cameras, TOF sensors, radar sensors, and ultrasonic sensors; details will not be elaborated here.

[0073] In one exemplary embodiment, if the obtained mobility information indicates the use of a transport bed, the comfort height information can be set to approximately the same height as the transport bed. This allows for transfer from the transport bed to the medical bed by dragging a sheet (in fact, medical staff often use sheets to transfer patients from one bed to another). Here, "transport bed" refers to a transport bed with a frame and casters. For the use of a stretcher, the comfort height can be calculated using the following formula:

[0074] Hs = Hd - c

[0075] Where Hs is the comfort height in mm; Hd is the stretcher height in mm; and c is the adjustment coefficient, ranging from 0 mm to 200 mm, preferably between 0 mm and 100 mm. For a stretcher, transferring a patient from a lower to a higher position is often strenuous, while transferring them from a higher to a slightly lower position is much easier. Therefore, a convenient transfer height is, for example, a level position or a stretcher slightly tilted downwards. Thus, the comfort height for the stretcher user is considered to be level with or slightly lower than the stretcher height. Information regarding user use and stretcher height can be entered by medical staff or automatically identified using data from cameras, TOF sensors, radar sensors, or ultrasound sensors; details will not be elaborated further here.

[0076] If the movement information indicates that the baby is being held, the baby will be placed on a medical bed. Since the maximum height of the medical bed is limited, simply raising the medical bed to its maximum height can provide greater convenience for the person holding the baby.

[0077] In one embodiment, see specifically Figure 3 The control logic will be explained in detail:

[0078] Before each step, the automatic lifting function is enabled / disabled in the host system. The automatic lifting function is optional and can be turned off when not needed.

[0079] With the function enabled, in the patient data step, height and weight information are typically required parameters for imaging scanning equipment such as X-rays or MRIs, and can be obtained from the hospital's electronic patient registration information. Therefore, height and weight are used as basic patient data as the fundamental input for adjusting the bed height. Of course, sensors can also be used to acquire various patient data.

[0080] If the system is idle, in the step of obtaining the appropriate height (i.e., comfortable height information), it first determines whether the user is a non-specialized group. If so, the appropriate height is calculated based on the patient's data. In this embodiment, if the user is a specialized group, a specific preset height is set accordingly. The preset height is a height value pre-input by the user for specialized groups. For example, when the system detects specialized group information, it will prioritize executing the preset height instead of calculating the height. The default preset height can be the minimum (lowest position) or maximum (highest position) of the lifting height, or other values. Simultaneously, if more detailed patient information cannot be collected, a default value will be used. This default value is neither the highest nor the lowest value, but a comfortable height for a typical person, such as 550-650mm. In this embodiment, the simplest fixed preset value is used: for users using crutches or stretchers, the height is lowered to the lowest; for infants being held, the height is raised to the highest.

[0081] For non-special populations who can walk upright on their own, a formula or AI is used to calculate the appropriate height. If the calculated value is greater than or less than the maximum / minimum adjustable height of the bed, the maximum / minimum height should be implemented.

[0082] After determining the user's desired comfortable height, the system executes this height (either by setting a preset height or calculating a height) and sets the status to 1. At this point, the system enters the patient scanning state. During this stage, the host system pre-sets various interrupt events, such as hardware emergency stops, which provides excellent safety protection for the patient. Interruptions caused by abnormal system states or external emergency stops should be responded to promptly, terminating any operations on bed movement. Furthermore, the automatic bed lowering function will not be executed until patient information and diagnostic tasks are updated.

[0083] Once the system status is complete, it will perform the height calculation (either by recalculating the height or setting a preset height) again to facilitate the user getting out of bed, and then update the status to 0, thus ending the entire process.

[0084] The following provides further explanation regarding special populations. For special populations (patients awaiting treatment), the system should implement different strategies through multiple preset configurations with customizable functions. For example, for children / toddlers (young age, short stature, low weight), if the system obtains a patient's age between 2-8 years old (age range conditions should be customizable by the user), the preset height of the bed will be the lowest. Of course, normally, even if a short patient's age does not meet the above conditions, the system will still trigger the bed to run at the lowest height based on the "basic calculated height." For infants being held, if the system obtains a patient's age between 0-1 years old (age range conditions should be customizable by the user), the preset height of the bed will be the highest, making it easier for caregivers to place the infant on the bed. Furthermore, for the elderly, if the system obtains a patient's age between 60 years old (age range conditions should be customizable by the user), the preset height of the bed can be set to a special default value (e.g., a default height of 420mm), to facilitate elderly people with mobility issues sitting on the bed. For wheelchair / crutch patients, if the system detects that the patient is in a wheelchair / crutch using smart sensors, the bed will operate at another special default value (configurable according to the hospital's standard wheelchair height, defaulting to 450mm). For transfer bed / stretcher patients, if the system detects that the patient is in a transfer bed / stretcher using smart sensors, the bed will operate at a third special default value (configurable according to the hospital's standard transfer bed height, defaulting to 600mm). Finally, for pregnant women, if the system detects that the patient is pregnant using smart sensors or recorded data, the bed will operate at a fourth special default value (defaulting to 500mm). These default values ​​can be obtained based on historical experience or artificial intelligence algorithms.

[0085] According to another aspect of the present disclosure, a medical device is provided, including a medical bed, at least one processor, and a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program, when executed by the processor, implements a method for automatically adjusting the height of any of the aforementioned medical beds.

[0086] According to another aspect of the present disclosure, a computer program product is provided, including a computer program, wherein the computer program, when executed by a processor, implements a method for automatically adjusting the height of any of the aforementioned medical beds.

[0087] The embodiments of this disclosure have at least the following advantages:

[0088] 1. It reduces the repetitive work of medical staff in adjusting the height of hospital beds;

[0089] 2. The adjustment speed is fast, and the adjustment is performed between the time the patient enters the examination room and the time the patient walks to the medical bed, saving the user's waiting time;

[0090] 3. It also improves the comfort of medical staff and users.

[0091] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0093] In the context of this disclosure, a computer-readable storage medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be a computationally readable signal medium or a computer-readable storage medium. A computer-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0094] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein. Furthermore, the nouns and pronouns used in this disclosure regarding persons are not limited to specific genders.

[0095] While embodiments or examples of this disclosure have been described with reference to the accompanying drawings, it should be understood that the methods, systems, and devices described above are merely exemplary embodiments or examples, and the scope of the invention is not limited by these embodiments or examples, but only by the granted claims and their equivalents. Various elements in the embodiments or examples may be omitted or replaced by their equivalents. Furthermore, the steps may be performed in a different order than that described in this disclosure. Importantly, as technology evolves, many elements described herein can be replaced by equivalents that appear after this disclosure.

[0096] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

Claims

1. A method for automatically adjusting the height of a medical bed, characterized in that: Obtain information about the user's movement method; The comfort height information is obtained at least based on the user's movement information, and the comfort height information is the height of the medical bed that facilitates the user getting on and off the medical bed; Adjust the height of the medical bed to the desired comfortable height. The user's mode of movement information includes at least one of the following: walking independently, using a cane, using a transport bed, using a stretcher, or an infant being held.

2. The method for automatically adjusting the height of a medical bed according to claim 1, wherein in response to the movement mode information being independent walking, the user's body shape information is acquired, and the comfortable height information is obtained at least based on the body shape information; wherein: The body information includes at least one of the following: height, weight, and calf length.

3. The method for automatically adjusting the height of a medical bed according to claim 2, wherein, in response to the acquired body information being height information, the comfortable height information is calculated as follows: Hs = a * H; in, Hs is the comfortable height; H is the height of the user; a is a coefficient, ranging from 0.33 to 0.

38.

4. The method for automatically adjusting the height of a medical bed according to claim 2, wherein, in response to the acquired body information being height information and weight information, the comfortable height information is calculated as follows: Hs = 350H + 6 × (W - Ws)^1 / 3 in, Hs is the comfortable height in mm; H is the user's height in m; W is the user's weight in kg; Ws is the user's standard weight in kg.

5. The method for automatically adjusting the height of a medical bed according to claim 2, wherein, in response to the acquired body information being lower leg length information, the comfortable height information is calculated as follows: Hs = Ht + b in, Hs is the comfortable height in mm; Ht is the user's lower leg length in mm; b is the adjustment coefficient, ranging from 0 mm to 250 mm.

6. The method for automatically adjusting the height of a medical bed according to claim 2, wherein the body information is automatically acquired using a camera.

7. The method for automatically adjusting the height of a medical bed according to claim 2, wherein the body information is obtained using at least one of the following sensors: a TOF sensor, a radar sensor, and an ultrasound sensor, wherein the sensor cannot recognize the user's facial information.

8. The method for automatically adjusting the height of a medical bed according to claim 7, wherein the sensor is a TOF sensor, the TOF sensor captures information of the user at multiple times, and the user's body shape information is obtained by combining the information at multiple times.

9. The method for automatically adjusting the height of a medical bed according to claim 2, wherein a trained artificial intelligence algorithm is used to obtain the comfortable height information using at least one of the following information: body shape information, the user's gender, the user's age, and the user's gait.

10. The method for automatically adjusting the height of a medical bed according to claim 1, In response to the mobility information indicating the use of a cane, the method for calculating the comfortable height is as follows: Hs = a' * H in, Hs is the comfortable height; H is the height of the user; a' is a coefficient, ranging from 0.36 to 0.45; Alternatively, the method for calculating the comfortable height is as follows: Hs = Ht + b' Wherein, Hs is the comfort height in mm; Ht is the user's lower leg length in mm; and b' is the adjustment coefficient, ranging from 50 mm to 250 mm.

11. The method for automatically adjusting the height of a medical bed according to claim 1 In response to the mobility information indicating the use of a transport bed, the comfort height information is approximately the same as the height of the transport bed; and / or In response to the mobility information indicating the use of a stretcher, the comfortable height is: Hs = Hd - c in, Hs is the comfort height in mm; Hd is the stretcher height in mm; c is the adjustment factor, ranging from 0 mm to 200 mm. and / or In response to the movement information that the infant is being held, the comfortable height is the maximum height at which the medical bed can be raised or lowered.

12. A medical device, characterized in that, include: Medical bed; At least one processor; A computer storage medium storing a computer program that, when executed by the at least one processor, implements the method according to any one of claims 1-11.

13. A computer program product comprising a computer program, wherein, The computer program, when executed by a processor, implements the method according to any one of claims 1-11.

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