Medical intelligent turning-over nursing system and medical intelligent turning-over nursing pad

Abstract

The invention relates to the technical field of intelligent medical systems, medical instruments, monitoring equipment and the like, and provides a medical intelligent turning-over nursing system and a medical intelligent turning-over nursing pad. An intelligent air cushion module is arranged to monitor the pressure borne by each air bag on an air cushion in real time, and then a multi-parameter vital sign monitoring module is arranged to monitor the pressure borne by each air bag on the air cushion in real time; key vital sign data of a bedridden patient are collected in real time, then an air cushion host is arranged, and the inflation and deflation states of the corresponding air bags are controlled according to individual feature data and the key vital sign data of the bedridden patient and pressure data borne by different air bags so as to adjust the body stress of the bedridden patient on the air cushion. Therefore, the body stress condition and the vital signs of the patient are monitored in real time, a more comprehensive and personalized nursing strategy is provided in combination with the individual characteristics of different patients, and the nursing accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical fields of intelligent medical systems, medical devices, monitoring equipment, etc., and in particular to a medical intelligent turning over nursing system and a medical intelligent turning over nursing pad. Background Art

[0002] In medical care, patients who are bedridden for a long time face many problems, such as the formation of pressure sores and untimely monitoring of vital signs. Traditional nursing methods mainly rely on manual turning and scattered vital sign monitoring equipment, which not only consumes a lot of manpower, but also makes it difficult to achieve real-time and accurate monitoring and care. Although there are some nursing air cushion products on the market, they are still insufficient in terms of intelligence, monitoring function and convenience. For example, there is a body position alarm combination system for preventing pressure sores in the prior art. A plurality of air bags are arranged on the air cushion, and each air bag is provided with a pressure detection device and a timer. The pressure detection device and the timer are connected to the computer through a signal line. The computer is connected to the alarm device, the air inlet valve and the air outlet valve through a control line. The air bag is connected to the air outlet of the air pump through an air inlet pipe, and an air inlet valve is arranged on the air inlet pipe. The air bag is connected to the air inlet of the air pump through an air outlet pipe, and an air outlet valve is arranged on the air outlet pipe. After the patient lies on the air cushion, the computer counts the time according to the pressure information transmitted by the pressure sensor. When the pressure and timing information exceed the set value, the computer controls the alarm device to alarm and remind the medical staff to adjust the patient's position. The computer can also control the inflation and deflation system through the airway. The inflation and deflation system inflates and deflates the airbag to change the patient's body force, avoid long-term pressure on the patient's local tissue, and effectively avoid the occurrence of pressure sores. The system relies on preset pressure and time thresholds, and triggers an alarm once the threshold is exceeded. However, the system cannot automatically adjust parameters according to the patient's specific situation (such as weight, age, activity ability, etc.), and lacks personalized intelligent adjustment capabilities. The system can only monitor the patient's static pressure, but cannot detect its activity, and it is difficult to identify some hidden factors that may cause pressure sores (such as small movements or improper posture adjustment). The system only focuses on changes in local pressure and ignores changes in other key vital signs of the patient (such as heart rate, respiratory rate, blood oxygen saturation, etc.). Long-term bedridden patients usually have multiple health risks, and it is difficult to fully assess their condition based on pressure data alone.

[0003] In summary, existing medical care technologies have technical problems such as lack of personalized care adjustment capabilities, and insufficiently comprehensive and precise care. Summary of the invention

[0004] In view of the deficiencies in the above-mentioned prior art, the present invention provides a medical intelligent turning over nursing system and a medical intelligent turning over nursing pad, which support personalized nursing adjustment, making the nursing more comprehensive and accurate.

[0005] In a first aspect, the present invention provides a medical intelligent turning and nursing system, comprising:

[0006] The intelligent air cushion module includes a plurality of independently controllable air bags distributed inside the air cushion, each of which is embedded with a pressure sensor, and the pressure sensor monitors the pressure of each air bag in real time;

[0007] A multi-parameter vital sign monitoring module, including a variety of vital sign monitoring sensors embedded in the surface of the air cushion, wherein the multiple vital sign monitoring sensors collect key vital sign data of bedridden patients in real time;

[0008] The air cushion host is connected and communicated with the intelligent air cushion module, the multi-parameter vital signs monitoring module and the hospital information system, and controls the inflation and deflation status of the corresponding air bags according to the individual characteristic data of the bedridden patient, the key vital signs data and the pressure data of different air bags, so as to adjust the body force of the bedridden patient on the air cushion.

[0009] In a second aspect, the present invention provides a medical intelligent turning over nursing pad, which uses the above-mentioned medical intelligent turning over nursing system.

[0010] Compared with the prior art, the present invention has the following beneficial effects:

[0011] The present invention provides a medical intelligent turning over nursing system and a medical intelligent turning over nursing pad. An intelligent air cushion module is set, the intelligent air cushion module includes a plurality of independently controllable air bags distributed inside the air cushion, a pressure sensor is embedded in each air bag, the pressure sensor monitors the pressure borne by each air bag in real time, and then a multi-parameter vital sign monitoring module is set, the multi-parameter vital sign monitoring module includes a plurality of vital sign monitoring sensors embedded in the surface of the air cushion, the plurality of vital sign monitoring sensors collect key vital sign data of bedridden patients in real time, and then an air cushion host is set, the air cushion host is connected and communicated with the intelligent air cushion module, the multi-parameter vital sign monitoring module and a hospital information system, and the inflation and deflation state of the corresponding air bag is controlled according to the individual characteristic data of the bedridden patient, the key vital sign data and the pressure data borne by different air bags, so as to adjust the body force of the bedridden patient on the air cushion, thereby monitoring the body force and vital signs of the patient in real time, and providing a more comprehensive and personalized nursing strategy in combination with the individual characteristics of different patients, thereby improving the accuracy of nursing. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention and do not constitute an improper limitation of the present invention. Some specific embodiments of the present invention will be described in detail in an exemplary and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0013] Figure 1 This is a schematic diagram of the architecture of the medical intelligent turning and nursing system according to an embodiment of the present invention;

[0014] Figure 2 This is a schematic diagram of an architecture of a medical intelligent turning and nursing system configured with a wireless remote controller according to an embodiment of the present invention;

[0015] Figure 3 It is a schematic diagram of the architecture of a mobile phone APP configured with a medical intelligent turning and nursing system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0017] Embodiment 1

[0018] See also Figure 1-Figure 3 This embodiment provides a medical intelligent turning and nursing system, including:

[0019] The intelligent air cushion module includes a plurality of independently controllable air bags distributed inside the air cushion, each of which is embedded with a pressure sensor, and the pressure sensor monitors the pressure of each air bag in real time;

[0020] A multi-parameter vital sign monitoring module, including a variety of vital sign monitoring sensors embedded in the surface of the air cushion, wherein the multiple vital sign monitoring sensors collect key vital sign data of bedridden patients in real time;

[0021] The air cushion host is connected and communicated with the intelligent air cushion module, the multi-parameter vital signs monitoring module and the hospital information system, and controls the inflation and deflation status of the corresponding air bags according to the individual characteristic data of the bedridden patient, the key vital signs data and the pressure data of different air bags, so as to adjust the body force of the bedridden patient on the air cushion.

[0022] It should be noted that when the body force of the bedridden patient on the air cushion is adjusted, the body position of the bedridden patient can be adjusted to varying degrees, thereby realizing turning over nursing. In the prior art, turning over nursing mainly relies on manual work, and it is difficult to make frequent and precise adjustments, resulting in local pressure concentration on the air cushion for long-term bedridden patients and an increased risk of pressure sores. In this embodiment, the intelligent air cushion module has multiple controllable air bags built in, and a pressure sensor is embedded in each air bag, so that the body force of the patient can be monitored in real time, and the local pressure can be dispersed by accurately adjusting the air bag pressure, effectively reducing the risk of pressure sores. In addition, long-term bedridden patients are usually accompanied by a variety of health risks, and pressure monitoring alone is not enough to fully assess the patient's condition. Therefore, in this embodiment, by setting a multi-parameter vital signs monitoring module, data such as heart rate, respiratory rate, and blood oxygen can be collected in real time, providing more comprehensive health indicators for nursing decisions, and facilitating timely intervention. It should be noted that the individual characteristics of different patients (such as weight, age, medical history, etc.) determine the differences in their nursing needs, and the nursing in the prior art is difficult to meet personalized nursing needs. In this embodiment, by connecting the air cushion host to the hospital information system (HIS), the system can obtain the patient's individual characteristic data, combine it with real-time monitoring data (such as key vital signs data, pressure data of different airbags), formulate personalized nursing strategies, and improve the accuracy of nursing.

[0023] It should also be noted that the individual characteristics of different patients (such as age, weight, medical history, body surface sensitivity, etc.) directly affect their tolerance to pressure and their need for body position adjustment. For example, heavier patients require higher cushion support, while patients with osteoporosis or skin sensitivity may require more dispersed force.

[0024] In some preferred embodiments, the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual characteristic data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that the physiological condition and pressure sore risk of each patient vary greatly, and a unified pressure distribution scheme is difficult to meet individual needs. For example, patients with heavier weight require stronger support, while patients with sensitive skin need to avoid local high pressure. Therefore, the system evaluates the patient's pressure sore risk and pressure tolerance threshold through individual characteristic data, and tailors a personalized pressure distribution scheme, so as to adjust the support strength of the airbag according to the patient's specific situation, ensuring that the risk of pressure sores is effectively prevented under the premise of comfort.

[0025] In some preferred embodiments, the individual characteristic data includes individual weight data, and the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual weight data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that the patient's weight directly affects the distribution and tolerance of the body force. Heavier patients have greater pressure on the body contact with the air cushion when lying in bed, and the risk of local pressure sores also increases accordingly. By evaluating the patient's pressure tolerance threshold through weight data, the system can formulate a more accurate pressure distribution scheme to ensure that patients of different weights can get appropriate support and pressure dispersion. For example, patients with lighter weight need softer support to avoid floating or discomfort caused by too little pressure; while patients with heavier weight need greater support to support the body to prevent local pressure concentration. Therefore, weight data is the key to customizing personalized pressure distribution, which can enable the system to better adapt to the needs of different patients and ensure the nursing effect. It is understandable that the occurrence of pressure sores is closely related to long-term local high pressure. Patients with heavier weight are more likely to bear higher pressure in certain parts of their body (such as the hips and shoulders) when lying in bed, which increases the risk of pressure sores. By setting an appropriate pressure tolerance threshold based on weight data, the air cushion host can accurately control the inflation and deflation of each airbag to balance the force on various parts of the patient's body and avoid local pressure exceeding the tolerance range.

[0026] In some preferred embodiments, the individual characteristic data includes individual body surface sensitivity data, and the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual body surface sensitivity data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that patients with higher body surface sensitivity are more sensitive to pressure and friction, and local tissues are more easily damaged after being compressed, and the risk of pressure sores is also higher. Through the body surface sensitivity data, the system can identify highly sensitive areas and formulate appropriate pressure distribution plans to avoid pressure sores caused by pressure concentration or friction. For example, for areas with high skin sensitivity, the system will set the pressure tolerance threshold lower, thereby reducing the pressure concentration on these areas during the nursing process. At the same time, the system can also reduce mechanical friction on sensitive areas through a softer inflation and deflation strategy.

[0027] In some preferred embodiments, the individual characteristic data includes individual osteoporosis data. The air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual osteoporosis data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that the skin and soft tissues of osteoporosis patients are more susceptible to damage after being compressed, resulting in a higher incidence of pressure sores. Through osteoporosis data, the system can evaluate the patient's bone condition and formulate a more appropriate pressure distribution scheme for these vulnerable areas. For example, in areas with a high risk of osteoporosis, the system will lower the pressure threshold of that area, thereby reducing the accumulation of pressure on the soft tissues around the bones.

[0028] In some preferred embodiments, the individual characteristic data includes individual disease severity data, and the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual disease severity data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that patients with severe conditions usually have limited mobility, maintain a fixed position for a long time, and the local tissue is under pressure for a longer time, resulting in a higher risk of pressure sores. Through the disease severity data, the system can determine whether the patient needs more frequent and gentle pressure adjustment to disperse local pressure and reduce the risk of pressure sores caused by long-term bed rest. For example, for patients with severe conditions who cannot move independently, a lower pressure tolerance threshold and a higher dispersion requirement can be set. Accordingly, the air cushion host will adjust the support force and distribution scheme of the airbags to ensure that pressure is reduced in high-risk areas and avoid skin being under constant pressure for a long time.

[0029] In some preferred embodiments, the individual characteristic data includes individual age data, and the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient through the individual age data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation state of the corresponding airbags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion. It should be noted that age is a key factor affecting the risk of pressure sores. With age, the skin gradually becomes thinner, the elasticity decreases, and the circulatory system function weakens, making it easier for the elderly to develop pressure sores due to long-term pressure. By evaluating the risk of pressure sores by age data, the system can set a lower pressure tolerance threshold in high-risk areas to reduce the possibility of pressure sores in elderly patients due to local pressure accumulation. For example, a pressure distribution scheme can be generated based on age data to focus on protecting elderly patients with fragile skin and tissues. In areas where pressure is concentrated, such as the buttocks and shoulders, the support force is appropriately reduced to prevent tissue ischemia caused by prolonged compression.

[0030] In some further preferred embodiments, when the air cushion host evaluates the pressure sore risk and pressure tolerance threshold of the bedridden patient, each individual characteristic is divided into three impact levels according to the different effects of the individual weight data, individual body surface sensitivity data, individual osteoporosis data, individual disease severity data and individual age data of the bedridden patient on the pressure sore risk and pressure tolerance threshold, and the impact weight of each individual characteristic is set, specifically including: a low impact level for a weight less than 60 kg, a medium impact level for a weight between 60 and 80 kg, and a high impact level for a weight greater than 80 kg, and the impact weight of the weight characteristic is 0.2; the body surface sensitivity data The impact weight of body surface sensitivity characteristics is 0.3; the impact weight of osteoporosis characteristics is 0.2; the impact weight of mild osteoporosis characteristics is 0.2; the impact weight of moderate osteoporosis characteristics is 0.2; the impact weight of moderate osteoporosis characteristics is 0.2; the impact weight of severe osteoporosis characteristics is 0.2; the impact weight of severity characteristics is 0.2; the impact weight of age characteristics is 0.1 for those under 40 years old, 0.40-65 years old, 0.65 years old, and 0.75 years old; the impact weight of age characteristics is 0.1;

[0031] According to the level of each individual characteristic of the bedridden patient, a score is calculated for each individual characteristic, and the score range of each individual characteristic level is set to 1 to 3, and the higher the value, the greater the risk of pressure sores; for example, weight level: low weight = 1, medium weight = 2, high weight = 3; sensitivity level: low sensitivity = 1, medium sensitivity = 2, high sensitivity = 3; osteoporosis level: mild = 1, moderate = 2, severe = 3; disease severity level: mild = 1, moderate = 2, severe = 3; age level: young = 1, middle-aged = 2, elderly = 3; weighted calculation is performed using the characteristic score and the impact weight to obtain a pressure sore risk score R, R = (weight × 0.2) + (body surface sensitivity × 0.3) + (osteoporosis degree × 0.2) + (disease severity × 0.2) + (age × 0.1); the pressure sore risk score R ranges from 1 to 3, and the higher the score, the greater the risk of pressure sores;

[0032] Calculate the pressure tolerance threshold P of the bedridden patient according to the pressure sore risk score R t ; Pressure tolerance threshold P t The calculation formula is: t =P b -(R*C);P b is the initial pressure threshold (for example, set to a fixed value, 200 mmHg), and C is the adjustment coefficient used to adjust the sensitivity of the pressure threshold; for example, C=20 means that for every increase of 1 point in the risk score, the pressure tolerance threshold will be reduced by 20 mmHg.

[0033] It should be noted that each patient has different characteristics such as weight, skin sensitivity, bone state, condition and age, which will have different degrees of impact on the risk of pressure sores and the ability to tolerate pressure. Therefore, by grading and weighting each individual feature and comprehensively calculating the pressure sore risk score, the system can quantify the patient's overall pressure sore risk. Among them, the data level and weight of each feature reflect its different impact on the risk of pressure sores. The comprehensive impact of each feature enables the system to not only consider a single factor, but also conduct a comprehensive assessment of the patient's overall condition, so as to develop a care plan that is more in line with the patient's actual needs. This design ensures the personalization of the care plan and ensures that the patient receives safe care under appropriate pressure. In addition, the degree of impact of each feature on the risk of pressure sores is different. For example, skin sensitivity and weight have a greater impact on the risk of pressure sores, so their weights are higher, while age has a relatively small impact, so its weight is lower. Through graded calculation and weighted design, the system can more accurately evaluate the contribution of each feature to the risk of pressure sores and obtain a comprehensive risk score. Among them, the scoring method using graded and weighted design enables the system to accurately identify the impact of each feature. For example, patients with high body surface sensitivity will receive higher scores in the pressure ulcer risk score, and patients with severe osteoporosis will also be reflected in the high risk score. This design helps the system accurately assess the pressure ulcer risk level of different patients, so as to formulate differentiated care plans and effectively prevent the occurrence of pressure ulcers. The pressure tolerance threshold is an important parameter to ensure the safety and comfort of patients under pressure. By adjusting the initial pressure threshold through the risk score, the system can flexibly adjust the pressure tolerance threshold according to the patient's pressure ulcer risk, thereby reducing the risk of pressure ulcers while meeting the support force. In addition, the pressure tolerance threshold P t The calculation formula of P t =P b-(R*C), by subtracting the risk score and multiplying the adjustment coefficient to reduce the pressure threshold, that is, the pressure threshold of high-risk patients is lower, providing softer support, which helps to avoid skin damage caused by excessive pressure in high-risk patients. For example, patients with severe conditions and sensitive skin have high pressure sore risk scores, and the system will automatically reduce their pressure tolerance threshold so that they can be adequately supported and protected under lower pressure. It can be understood that in this embodiment, the pressure sore risk is evaluated based on multi-dimensional characteristics, and the pressure tolerance threshold is adjusted, which can improve the accuracy and flexibility of nursing. The system can evaluate the risk changes of patients in real time, dynamically adjust the pressure distribution scheme during the nursing process, and ensure the quality of nursing. Among them, the pressure threshold calculated by the risk score can make the system more targeted when performing position adjustment and pressure distribution. For example, for patients with high weight and osteoporosis, the system sets a lower pressure threshold in the high-risk area to reduce the force. This adjustment not only optimizes the nursing effect, but also can be dynamically adjusted with the patient's risk changes, further improving the quality of nursing. In addition, through the design of the adjustment coefficient C, the system can flexibly adjust the sensitivity of the pressure tolerance threshold to the pressure sore risk score, so as to adapt to the personalized needs or changes in the condition of different patients. For patients who need higher safety protection, the value of adjustment coefficient C can be increased to make the risk score have a more significant impact on the pressure threshold; for patients with lower risk, the value of adjustment coefficient C can be appropriately reduced to ensure adequate support. This sensitivity adjustment enables the system to respond more flexibly to the needs of various care scenarios and further improve the level of personalized care.

[0034] In some preferred embodiments, the medical intelligent turning nursing system further comprises a wireless remote controller, which is connected to and communicates with the intelligent air cushion module and is used to provide medical staff with remote control of the intelligent air cushion module. In addition, the medical intelligent turning nursing system further comprises a mobile phone APP, which is connected to and communicates with the air cushion host and is used to provide medical staff with monitoring of the individual characteristic data of the bedridden patient, the key vital signs data and the pressure data of different air bags.

[0035] In some further preferred embodiments, the air cushion host controls the inflation and deflation state of the corresponding airbags according to the individual characteristic data of the bedridden patient, the key vital signs data and the pressure data borne by different airbags to adjust the body force of the bedridden patient on the air cushion, including: controlling the inflation and deflation state of the corresponding airbags according to the individual characteristic data of the bedridden patient and the pressure data borne by different airbags to adjust the body force of the bedridden patient on the air cushion; in the process of adjusting the body force of the bedridden patient on the air cushion, according to the key vital signs data, the adjustment process of the body force adjustment of the bedridden patient on the air cushion is controlled. It should be noted that the individual characteristics of different patients (such as weight, height, body shape distribution, skin sensitivity, etc.) determine the pressure distribution and body position adjustment scheme suitable for their bodies. Therefore, preliminarily determining the pressure adjustment scheme based on the individual characteristic data and the pressure data borne by the airbags helps to provide tailored care and ensure that the basic force meets the individual needs of the patient. In the process of body position adjustment, the patient's vital signs (such as heart rate, respiratory rate, blood oxygen saturation, etc.) will provide important feedback on the quality of care. If the patient's vital signs fluctuate significantly during the adjustment process, it may indicate that the current stress state causes discomfort or risk to the patient. By real-time monitoring of vital sign data, the system can dynamically adjust the strength and frequency of body position changes to ensure that the patient is always in a safe and comfortable state. Further, in the process of adjusting the body force of the bedridden patient on the air cushion, if the key vital sign data reflects that the bedridden patient has abnormal breathing, stop adjusting the body force of the bedridden patient on the air cushion and issue an adjustment risk alarm. It should be noted that abnormal breathing is usually a signal that the patient is uncomfortable or has excessive physiological load. At this time, if the body position adjustment is continued, it may aggravate the discomfort and even bring life risks. By stopping the adjustment immediately under abnormal conditions, further interference with the patient's physiological state can be effectively avoided. Further, in the process of adjusting the body force of the bedridden patient on the air cushion, if the key vital sign data reflects that the bedridden patient has an accelerated heart rate or reduced blood oxygen, the inflation and deflation speed and frequency of the corresponding airbags are controlled to be reduced to reduce the strength of adjusting the body force of the bedridden patient on the air cushion. It should be noted that an accelerated heart rate or decreased blood oxygen indicates that the patient may be experiencing discomfort due to excessive adjustment or too fast frequency. By reducing the speed and frequency of inflation and deflation, the impact on the patient's physiological system during the adjustment process can be reduced, and the physiological burden caused by changes in body position can be reduced.

[0036] Embodiment 2

[0037] See also Figure 1-Figure 3A medical intelligent turning nursing pad, the medical intelligent turning nursing pad uses the medical intelligent turning nursing system described in any of the above embodiments, by setting an intelligent air cushion module, the intelligent air cushion module includes a plurality of independently controllable air bags distributed on the inner side of the air cushion, each air bag is embedded with a pressure sensor, the pressure sensor monitors the pressure of each air bag in real time, and then a multi-parameter vital sign monitoring module is set, the multi-parameter vital sign monitoring module includes a plurality of vital sign monitoring sensors embedded in the surface of the air cushion, the plurality of vital sign monitoring sensors collect key vital sign data of bedridden patients in real time, and then an air cushion host is set, the air cushion host is connected and communicated with the intelligent air cushion module, the multi-parameter vital sign monitoring module and the hospital information system, according to the individual characteristic data of the bedridden patient, the key vital sign data and the pressure data of different air bags, the inflation and deflation state of the corresponding air bags is controlled to adjust the body force of the bedridden patient on the air cushion, so as to monitor the body force and vital signs of the patient in real time, and provide a more comprehensive and personalized nursing strategy in combination with the individual characteristics of different patients, so as to improve the accuracy of nursing.

[0038] It should be pointed out that the above embodiments are only preferred specific implementation modes of the present invention, and the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. The protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A medical intelligent turning over nursing system, characterized in that: include: The intelligent air cushion module includes a plurality of independently controllable air bags distributed inside the air cushion, each of which is embedded with a pressure sensor, and the pressure sensor monitors the pressure of each air bag in real time; A multi-parameter vital sign monitoring module, including a variety of vital sign monitoring sensors embedded in the surface of the air cushion, wherein the multiple vital sign monitoring sensors collect key vital sign data of bedridden patients in real time; The air cushion host is connected and communicated with the intelligent air cushion module, the multi-parameter vital signs monitoring module and the hospital information system, and controls the inflation and deflation status of the corresponding air bags according to the individual characteristic data of the bedridden patient, the key vital signs data and the pressure data of different air bags, so as to adjust the body force of the bedridden patient on the air cushion.

2. The medical intelligent turning and nursing system according to claim 1, characterized in that: The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual characteristic data to obtain a personalized pressure distribution plan, and controls the inflation and deflation states of the corresponding air bags adapted to the pressure distribution plan to adjust the body force of the bedridden patient on the air cushion.

3. The medical intelligent turning and nursing system according to claim 2, characterized in that: The individual characteristic data includes individual weight data. The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual weight data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation states of the corresponding air bags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion.

4. The medical intelligent turning and nursing system according to claim 2, characterized in that: The individual characteristic data includes individual body surface sensitivity data. The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual body surface sensitivity data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation states of corresponding air bags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion.

5. The medical intelligent turning over nursing system according to claim 2, characterized in that: The individual characteristic data includes individual osteoporosis data. The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual osteoporosis data to obtain a personalized pressure distribution plan, and controls the inflation and deflation states of the corresponding airbags adapted to the pressure distribution plan to adjust the body force of the bedridden patient on the air cushion.

6. The medical intelligent turning and nursing system according to claim 2, characterized in that: The individual characteristic data includes individual disease severity data. The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual disease severity data to obtain a personalized pressure distribution plan, and controls the inflation and deflation states of corresponding air bags adapted to the pressure distribution plan to adjust the body force of the bedridden patient on the air cushion.

7. The medical intelligent turning over nursing system according to claim 2, characterized in that: The individual characteristic data includes individual age data. The air cushion host evaluates the pressure ulcer risk and pressure tolerance threshold of the bedridden patient through the individual age data to obtain a personalized pressure distribution scheme, and controls the inflation and deflation states of corresponding air bags adapted to the pressure distribution scheme to adjust the body force of the bedridden patient on the air cushion.

8. The medical intelligent turning and nursing system according to any one of claims 1 to 7, characterized in that: It also includes a wireless remote controller, which is connected to and communicates with the intelligent air cushion module and is used to provide medical personnel with the ability to remotely control the intelligent air cushion module.

9. The medical intelligent turning and nursing system according to any one of claims 1 to 7, characterized in that: It also includes a mobile phone APP, which is connected to the air cushion host for communication and is used to provide medical personnel with individual characteristic data of the bedridden patient, the key vital signs data and the pressure data of different airbags for monitoring.

10. A medical intelligent turning over nursing pad, characterized in that: The medical intelligent turning over nursing pad uses the medical intelligent turning over nursing system as described in any one of claims 1-9.

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