Intelligent medical sickbed based on patient demand prediction
By integrating gravity sensors, heart rate sensors and pressure sensors on smart medical beds and combining with spring systems, the automatic adjustment of bed posture is achieved, solving the problem that existing medical beds cannot meet the needs of patients and improving the patient's living comfort.
Patent Information
- Application Number
- CN202411540100.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-02-28
AI Technical Summary
The existing medical bed cannot automatically adjust the bed posture to meet the actual needs of the patients without accompanying personnel, resulting in problems such as turning over and lifting the bed.
A smart medical bed based on patient demand prediction was designed, using gravity sensors, heart rate sensors, pressure sensors and spring systems to achieve accurate support for patient needs by automatically adjusting the bed posture.
The automatic adjustment of the bed posture is achieved, which meets the actual needs of patients, reduces the difficulties of patients turning over and lifting the bed, and improves the patient's life comfort.
Smart Images
Figure CN119523747A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent medical devices, and in particular to an intelligent medical bed based on patient demand prediction. Background Art
[0002] Currently, patients face multiple inconveniences during hospitalization, one of which is bedside care. However, the actual demand for bedside care is often not high. Hospitals are often able to provide water and meals, but patients need to get up, lift the bed, lie on their side, etc. Currently, beds do not have such functions, or even if they do, they are basically not intelligent and can only be solved by manually clicking buttons. However, if the patient does not have a caregiver and the medical staff has limited human resources, they will face many problems such as difficulty turning over and lifting the bed.
[0003] The existing technology only provides functions such as one-button bed lifting and one-button bed flipping on advanced beds, but the level of intelligence is not enough and the objective needs of disabled elderly people or patients (i.e., no one to look after them and they have difficulty in moving) are not taken into consideration.
[0004] Therefore, it is an urgent problem for those skilled in the art to propose an intelligent medical bed based on patient demand prediction to solve the difficulties existing in the prior art. Summary of the invention
[0005] In view of this, the present invention provides an intelligent medical bed based on patient demand prediction, which solves the problem of automatically adjusting the current bed posture according to the patient's actual needs, and solves the problem of accurately capturing the patient's objective body needs and then adjusting the bed structure posture to support and meet the patient's needs.
[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an intelligent medical bed based on patient demand prediction, comprising:
[0007] A first bed board, a second bed board, a support, a gravity sensor, a bed frame, a heart rate sensor, a first spring, a second spring, a third spring, a fourth spring, a first pressure sensor, and a second pressure sensor;
[0008] The first bed board and the second bed board are connected by a hinge and arranged on the bed frame, and one end of the support is connected to the first bed board and the other end is connected to the bed frame;
[0009] The gravity sensor is arranged on the first bed board, and the heart rate sensor is arranged on the second bed board; the first spring, the second spring, the third spring, and the fourth spring are respectively arranged inside the bed legs;
[0010] Among them, the heart rate sensor is used to detect the user's status, the gravity sensor is used to detect the user's current weight; the first pressure sensor and the second pressure sensor are used to detect the weight supported by the user's arm.
[0011] The above-mentioned intelligent medical bed can optionally have one end of the support connected to the bed frame, and the support is provided with a slide rail and a fixing part for controlling the lifting angle of the first bed board to adjust the user's posture.
[0012] The above-mentioned intelligent medical bed can optionally include: head of bed lifting posture adjustment function, left and right tilt posture adjustment function, foot of bed lifting function
[0013] Through the first pressure sensor and the second pressure sensor at the key position of the patient's arm support, after identifying the user's palm or arm pressing the corresponding position of the bed board, the spring contraction operation is executed to perform left and right tilt.
[0014] The above-mentioned smart medical bed can optionally, when the heart rate sensor detects that the user is in an active state, the gravity sensor calculates the user's current weight every two seconds and compares it with the last calculation result. If the user's current weight is 50% less than the user's last weight, the support device performs a lifting operation. When the heart rate sensor detects that the user is in a sleeping state, the support device performs a lowering operation.
[0015] It can be seen from the above technical solutions that, compared with the prior art, the intelligent medical bed based on patient demand prediction of the present invention has the following beneficial effects:
[0016] The solution is to enable the current bed posture to be automatically adjusted according to the patient's actual needs, and to accurately capture the patient's objective body needs and then adjust the bed structure posture to support and meet the patient's needs. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0018] Figure 1 A structural diagram of an intelligent medical bed based on patient demand prediction provided by the present invention;
[0019] Figure 2 A flow chart of a smart medical bed control method based on patient demand prediction provided by the present invention. DETAILED DESCRIPTION
[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0021] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprise one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0022] Reference Figure 1 As shown, the present invention discloses an intelligent medical bed based on patient demand prediction, comprising:
[0023] A first bed board 1, a second bed board 2, a support 3, a gravity sensor 4, a bed frame 5, a heart rate sensor 6, a first spring 7, a second spring 8, a third spring 9, a fourth spring 10, a first pressure sensor 11, and a second pressure sensor 12;
[0024] The first bed board 1 and the second bed board 2 are connected by hinges and arranged on the bed frame 5. One end of the support 3 is connected to the first bed board 1 and the other end is connected to the bed frame 5.
[0025] The gravity sensor 4 is arranged on the first bed board 1, and the heart rate sensor 6 is arranged on the second bed board 2; the first spring 7, the second spring 8, the third spring 9, and the fourth spring 10 are respectively placed inside the bed legs;
[0026] Among them, the heart rate sensor 6 is used to detect the user's state, the gravity sensor 4 is used to detect the user's current weight; the first pressure sensor 11 and the second pressure sensor 12 are used to detect the weight supported by the user's arm.
[0027] Furthermore, at one end of the support 3 connected to the bed frame 5, the support 3 is arranged with a slide rail and a fixing part for controlling the lifting angle of the first bed board 1 to adjust the user's posture.
[0028] Furthermore, user posture adjustment includes: bed head lifting posture adjustment function, left and right tilt posture adjustment function, bed foot lifting function; through the first pressure sensor 11 and the second pressure sensor 12 at the key position of the patient's arm support, after recognizing the user's palm or arm pressing the corresponding position of the bed board, the spring contraction operation is executed to perform left and right tilt. The bed foot lifting logic is similar to the bed head lifting logic, but there is no sensor, and a manual button needs to be clicked. After lifting, it is convenient to solve foot diseases and conduct observation and care.
[0029] Furthermore, if Figure 2 As described, when the heart rate sensor 6 detects that the user is in an active state, the gravity sensor 4 calculates the user's current weight every two seconds and compares it with the last calculation result. If the user's current weight is 50% less than the user's last weight, the support 3 performs a lifting operation. When the heart rate sensor 6 detects that the user is in a sleeping state, the support 3 performs a lowering operation.
[0030] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.
[0031] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An intelligent medical bed based on patient demand prediction, characterized in that: include: A first bed board (1), a second bed board (2), a support (3), a gravity sensor (4), a bed frame (5), a heart rate sensor (6), a first spring (7), a second spring (8), a third spring (9), a fourth spring (10), a first pressure sensor (11), and a second pressure sensor (12); The first bed board (1) and the second bed board (2) are connected via a hinge and arranged on a bed frame (5); one end of the support (3) is connected to the first bed board (1) and the other end is connected to the bed frame (5); The gravity sensor (4) is arranged on the first bed board (1), and the heart rate sensor (6) is arranged on the second bed board (2); the first spring (7), the second spring (8), the third spring (9), and the fourth spring (10) are respectively placed inside the bed legs; The heart rate sensor (6) is used to detect the user's state, the gravity sensor (4) is used to detect the user's current weight; and the first pressure sensor (11) and the second pressure sensor (12) are used to detect the weight supported by the user's arm.
2. The intelligent medical bed based on patient demand prediction according to claim 1, characterized in that: One end of the support (3) is connected to the bed frame (5), and the support (3) is provided with a slide rail and a fixing member for controlling the lifting angle of the first bed board (1) to adjust the user's posture.
3. The intelligent medical bed based on patient demand prediction according to claim 2, characterized in that: User posture adjustment includes: head of bed lifting posture adjustment function, left and right tilt posture adjustment function, and foot of bed lifting function; After the first pressure sensor (11) and the second pressure sensor (12) at the key position of the patient's arm support recognize that the user's palm or arm presses the corresponding position of the bed board, a spring contraction operation is performed to perform left and right tilting.
4. The intelligent medical bed based on patient demand prediction according to claim 3, characterized in that: When the heart rate sensor (6) detects that the user is in an active state, the gravity sensor (4) calculates the user's current weight every two seconds and compares it with the last calculated result. If the user's current weight is 50% less than the user's last weight, the support (3) performs a lifting operation. When the heart rate sensor (6) detects that the user is in a sleeping state, the support (3) performs a lowering operation.