Intelligent elderly care bed and intelligent elderly care bed monitoring system

Abstract

The present invention provides an intelligent elderly care bed and an intelligent elderly care bed monitoring system, including: a lying position determination module, which is used to determine multiple applicable sleeping positions and multiple sleeping position switching processes of the elderly based on the preset health data of the elderly; a sleep sensing module, which is used to collect multiple bed lying data through multiple built-in sensors, obtain bed lying sensing data, and analyze the bed lying sensing data to obtain sensing results; an adaptive module, which is used to determine the best sleeping position switching process based on the sensing results, and according to the best sleeping position switching process, gradually adaptively adjust the bed board area to be mobilized, and switch the elderly's bed lying posture to the current best switching applicable sleeping position. The present invention realizes intelligent monitoring and intelligent adjustment of the elderly's sleeping posture, can automatically adjust the bed according to the elderly's physical condition and sleep needs, provide personalized care for the elderly's sleep, and achieve the purpose of adjusting the elderly's sleeping posture without affecting the elderly's sleep quality.

Description

Technical Field

[0001] The present invention relates to the technical field of safety nursing equipment, and in particular to an intelligent elderly nursing bed and an intelligent elderly nursing bed monitoring system. Background Art

[0002] Aging is the result of the gradual accumulation of various molecular and cellular damages over time. With the increase of age, the body's functions will inevitably decline. After entering old age, the body's tissue structure further ages, the functions of various organs gradually become impaired, the body's resistance gradually weakens, the ability to move decreases, and the loss of coordinated functions will lead to an increased risk of illness. As a multi-disease group, many elderly people suffer from geriatric diseases, and the disease care of the elderly relies on hospital treatment while also relying on family after-care. However, maintaining a single sleeping posture for a long time can easily cause vascular compression and physical discomfort. Changing sleeping positions at night is an inevitable behavior, and night monitoring is prone to untimely monitoring due to the special time. For people with diseases, the wrong sleeping position may affect their health and endanger their lives, and the existing sleep monitoring only monitors and warns of wrong postures and cannot adaptively adjust according to the current sleeping posture of the elderly. Summary of the invention

[0003] The present invention provides an intelligent elderly care bed and an intelligent elderly care bed monitoring system to solve the above-mentioned problems, realize intelligent monitoring and intelligent adjustment of the sleeping posture of the elderly, can automatically adjust the bed according to the physical condition and sleep needs of the elderly, provide personalized care for the elderly's sleep, and achieve the purpose of adjusting the sleeping posture of the elderly without affecting the elderly's sleep quality.

[0004] The present invention provides an intelligent elderly care bed, comprising:

[0005] A lying position determination module is used to determine multiple suitable sleeping positions for the elderly and multiple sleeping position switching processes based on the elderly's preset health data;

[0006] The sleep sensing module is used to collect various bed-lying data through various built-in sensors, obtain bed-lying sensing data, and analyze the bed-lying sensing data to obtain sensing results;

[0007] The adaptive module is used to determine the optimal sleeping position switching process based on the perception results. According to the optimal sleeping position switching process, the bed board area to be moved is gradually and adaptively adjusted to switch the elderly's bed posture to the current optimal switching applicable sleeping position.

[0008] Preferably, in an intelligent elderly care bed, the lying posture determination module includes:

[0009] A sleeping position determination unit, used to obtain preset health data of the elderly, and determine a plurality of applicable sleeping positions currently applicable to the elderly based on the preset health data;

[0010] A sequence determination unit, used to respectively obtain the limb placement features of various sleeping postures, determine the positions where blood circulation is easily obstructed based on the limb placement features, and mark the positions where blood circulation is easily obstructed;

[0011] Comparing multiple sleeping positions according to the marking results, determining the sleeping position adjustment association relationship between the various sleeping positions, and determining multiple switching sequences between the various sleeping positions based on the sleeping position adjustment association relationship;

[0012] An interval determination unit, used to obtain historical bed rest perception data of the elderly, and determine the maintenance time of each suitable sleeping position based on the historical bed rest perception data and combined with preset health data;

[0013] The process generation unit generates a plurality of sleeping position switching processes based on a plurality of switching sequences and the holding time.

[0014] Preferably, in an intelligent elderly care bed, the interval determination unit comprises:

[0015] A change determination subunit, for determining pressure perception changes in a plurality of fixed intervals based on historical bed-resting perception data, and determining sleeping posture change nodes in each fixed interval according to the pressure perception changes;

[0016] The impact determination subunit is used to obtain the node breathing perception data corresponding to each sleeping posture change node, compare the node breathing perception data corresponding to each sleeping posture change node with the standard sleep breathing data, and determine whether the sleeping posture change corresponding to each sleeping posture change node affects the sleep quality of the elderly;

[0017] If the node breathing perception data is inconsistent with the standard sleep breathing data, it is determined that the sleeping posture change corresponding to the current sleeping posture change node affects the sleep quality of the elderly;

[0018] Otherwise, it is determined that the sleeping posture change corresponding to the current sleeping posture change node does not affect the elderly's sleep quality;

[0019] A reference determination unit, for performing screening within different fixed intervals based on the determination result of the influence determination subunit, to obtain a group of adjacent sleeping posture change nodes that do not affect the sleep quality of the elderly;

[0020] The historical interval times corresponding to multiple adjacent sleeping posture change node groups corresponding to multiple fixed intervals are respectively obtained for comparison to obtain the maximum historical time interval, and the maximum historical time interval is used as the retention time.

[0021] Preferably, in an intelligent elderly care bed, the sleep sensing module comprises:

[0022] A perception data collection unit, used for collecting various bed-lying data based on various built-in sensors to generate bed-lying perception data;

[0023] A sensing and warning unit, used to compare various life characteristic data in the bed sensing data with their corresponding alarm conditions;

[0024] When any vital sign data meets the alarm conditions, a remote warning is triggered and a warning notification is sent to the remote monitoring terminal;

[0025] A perception data analysis unit is used to compare the bed pressure perception data in the current moment with the bed pressure perception data at the previous moment to determine whether there is a change in the pressure data. If so, it is determined that the elderly's sleeping position has changed. When the current moment is a holding stage, it is determined that the elderly's sleeping position has automatically changed;

[0026] Otherwise, the elderly person's sleeping posture is judged to be normal.

[0027] Preferably, in an intelligent elderly care bed, the adaptive module comprises:

[0028] A change judgment unit is used to sense the position of the elderly's limbs and obtain the current limb placement characteristics based on the current bed pressure sensing data when the elderly's sleeping position changes automatically;

[0029] Compare the current limb placement features with the applicable posture features. If the current limb placement features are inconsistent with the posture features corresponding to all applicable sleeping positions, it is determined that the elderly's autonomous posture change needs to be adaptively adjusted, and the holding time is re-timed;

[0030] Otherwise, it is determined that the elderly's autonomous posture changes do not require adaptive adjustments;

[0031] An adaptive adjustment unit is used to determine the best switching applicable sleeping position and the bed posture adjustment strategy for the elderly based on the current sleeping position and the available pressure change range for sleeping position adjustment when the elderly's autonomous posture changes need adaptive adjustment or any applicable sleeping position reaches the maintenance time;

[0032] Based on the bed posture adjustment strategy, the area of ​​the bed board to be moved is gradually and adaptively adjusted to switch the elderly's bed posture to the best and suitable sleeping position.

[0033] Preferably, in an intelligent elderly care bed, the adaptive module further comprises:

[0034] A classification analysis unit, used to classify the sleeping posture change nodes based on the judgment result of the influence judgment subunit, and obtain a yes node set and a no node set;

[0035] Synchronously obtain the node pressure perception data corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node in the No node set, and determine the adjacent node pressure perception data corresponding to the adjacent change node corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node;

[0036] Compare the pressure sensing data of multiple nodes with the corresponding pressure sensing data of adjacent nodes to obtain the pressure change interval;

[0037] All pressure variation amplitudes corresponding to the node set are compared to obtain the maximum pressure variation amplitude.

[0038] Based on the maximum pressure change amplitude and the impact pressure change amplitude, the available pressure change range for sleeping position adjustment is obtained.

[0039] Preferably, in an intelligent elderly care bed, the adaptive adjustment unit comprises:

[0040] A sleeping position switching determination subunit is used to screen multiple sleeping position switching processes based on the current applicable sleeping position to determine the best sleeping position switching process if the current sleeping position is an applicable sleeping position;

[0041] Based on the optimal sleeping position switching process, determining a connecting sleeping position of the current sleeping position, and using the connecting sleeping position as the optimal switching applicable sleeping position;

[0042] If the current sleeping position is a self-changing position, the limb placement features corresponding to the current sleeping position are compared with the limb placement features of multiple applicable sleeping positions to obtain the lying position similarity, and the applicable sleeping position corresponding to the maximum lying position similarity is used as the best switching applicable sleeping position.

[0043] Preferably, in an intelligent elderly care bed, the adaptive adjustment unit comprises:

[0044] A strategy generation subunit, for determining a distribution feature of a current force point corresponding to the current sleeping posture based on the obtained bed pressure sensing data corresponding to the current sleeping posture and the bed pressure sensing data;

[0045] Obtain the distribution characteristics of the switching force points corresponding to the best switching sleeping posture, compare the characteristics of the current force points with the characteristics of the switching force points, and determine the force points to be switched;

[0046] Based on the force point to be switched, the bed board maneuvering area is determined, and based on the distribution characteristics of the maneuvering components, the maneuvering area is divided into maneuvering groups to obtain multiple bed board areas to be maneuvered;

[0047] The force points to be switched are grouped based on the division result of the area of ​​the bed board to be adjusted to obtain multiple force point switching groups;

[0048] The actual perceived pressure corresponding to each focus point switching group is obtained respectively, and the ideal perceived pressure when each focus point switching group is switched is predicted based on the focus point distribution characteristics of the current sleeping posture and the difference in focus point distribution between the current sleeping posture and the optimal switching applicable sleeping posture;

[0049] The adjustment pressure is obtained based on the ideal perceived pressure and the actual perceived pressure, and any adjustment value is selected in the available pressure change range for sleeping posture adjustment to obtain the pressure adjustment speed and adaptive time corresponding to each bed board area to be adjusted, and generate a bed posture adjustment strategy.

[0050] Preferably, in an intelligent elderly care bed, the adaptive adjustment unit comprises:

[0051] The adjustment control subunit is used to generate a corresponding number of control instructions based on the division result of the bed board area to be adjusted corresponding to the bed posture adjustment strategy and the pressure adjustment speed, and control the corresponding bed board area to be adjusted to be automatically adjusted within the corresponding adjustment time;

[0052] After all the areas of the bed to be adjusted are adjusted, the maintenance time of the best switching sleeping position is counted.

[0053] The present invention provides an intelligent elderly care bed monitoring system, which is applied to any intelligent elderly care bed and is characterized by comprising:

[0054] The main control module is used to control the lying posture determination module, the sleep sensing module, the adaptive module and various components of the nursing bed to work together.

[0055] Compared with the prior art, the present invention has at least the following beneficial effects:

[0056] The present invention determines a plurality of applicable sleeping positions and a plurality of sleeping position switching processes for the elderly based on preset health data of the elderly, determines a sleeping position that is conducive to the elderly's physical diseases according to their actual physical conditions, then collects a plurality of bed data through a plurality of built-in sensors to obtain bed perception data, analyzes the bed perception data to obtain perception results, and performs real-time perception monitoring on the elderly's sleep conditions, which is conducive to discovering physical abnormalities during the elderly's sleep; finally, based on the perception results, determines the best sleeping position switching process, and according to the best sleeping position switching process, performs gradual adaptive adjustment on the area of ​​the bed board to be mobilized, switches the elderly's bed posture to the current best switching applicable sleeping position, realizes adaptive adjustment of the elderly's sleeping position and personalized care during sleep, ensures that the elderly always maintain a relatively safe and comfortable sleeping position, and is conducive to improving the elderly's sleep quality. The present invention realizes intelligent monitoring and intelligent adjustment of the elderly's sleeping posture, can automatically adjust the bed according to the elderly's physical condition and sleep needs, provides personalized care for the elderly's sleep, and completes the purpose of adjusting the elderly's sleeping posture without affecting the elderly's sleep quality.

[0057] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0058] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 This is a structural diagram of an intelligent elderly care bed of the present invention;

[0061] Figure 2 This is a structural diagram of a lying posture determination module of an intelligent elderly care bed of the present invention;

[0062] Figure 3 This is a structural diagram of a sleep sensing module of an intelligent elderly care bed of the present invention;

[0063] Figure 4 This is a structural diagram of an adaptive module of an intelligent elderly care bed according to the present invention. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Embodiment 1:

[0066] The present invention provides an intelligent elderly care bed, such as Figure 1 As shown, including:

[0067] A lying position determination module is used to determine multiple suitable sleeping positions for the elderly and multiple sleeping position switching processes based on the elderly's preset health data;

[0068] The sleep sensing module is used to collect various bed-lying data through various built-in sensors, obtain bed-lying sensing data, and analyze the bed-lying sensing data to obtain sensing results;

[0069] The adaptive module is used to determine the optimal sleeping position switching process based on the perception results. According to the optimal sleeping position switching process, the bed board area to be moved is gradually and adaptively adjusted to switch the elderly's bed posture to the current optimal switching applicable sleeping position.

[0070] In this embodiment, the suitable sleeping position refers to the sleeping position that the elderly can use determined according to their actual physical condition. For example, for hypertension caused by sleep apnea syndrome, it is not recommended to lie on the back, but lying on the side is better; for the elderly with coronary heart disease, sleeping on the right side or lying flat can make more blood flow to the right side, reducing the burden on the heart; for varicose veins, slightly raise the feet, so that the horizontal position exceeds the height of the heart, promotes blood return to the heart, and avoids congestion of the veins in the lower limbs; for gastroesophageal reflux disease, do not lie down immediately after a meal, and when lying flat, slightly raise the head, or raise the head of the bed by 15 to 20 centimeters; for stroke patients, do not maintain the same sleeping position for a long time, especially do not always press on the affected side, and try to change the sleeping direction frequently to avoid bedsores.

[0071] In this embodiment, the gradual adaptive adjustment refers to slowly adjusting the movable components of the nursing bed in the area of ​​the bed board to be adjusted to achieve the purpose of adjusting the sleeping posture of the elderly.

[0072] The beneficial effects of the above technical solution are as follows: the present invention determines multiple applicable sleeping positions and multiple sleeping position switching processes for the elderly based on the preset health data of the elderly, determines the sleeping position that is conducive to the elderly's physical diseases according to the actual physical condition of the elderly, and then collects multiple bed data through multiple built-in sensors to obtain bed perception data, and analyzes the bed perception data to obtain perception results, and performs real-time perception monitoring of the elderly's sleep conditions, which is conducive to discovering physical abnormalities during the elderly's sleep; finally, based on the perception results, the optimal sleeping position switching process is determined, and according to the optimal sleeping position switching process, the bed board area to be mobilized is gradually adaptively adjusted, and the elderly's bed posture is switched to the current optimal switching applicable sleeping position, so as to realize adaptive adjustment of the elderly's sleeping position and personalized care during sleep, ensure that the elderly always maintain a relatively safe and comfortable sleeping position, and help improve the elderly's sleep quality. The present invention realizes intelligent monitoring and intelligent adjustment of the elderly's sleeping posture, can automatically adjust the bed according to the elderly's physical condition and sleep needs, provide personalized care for the elderly's sleep, and achieves the purpose of adjusting the elderly's sleeping posture without affecting the elderly's sleep quality.

[0073] Embodiment 2:

[0074] On the basis of Example 1, the lying posture determination module is as follows: Figure 2 As shown, including:

[0075] A sleeping position determination unit, used to obtain preset health data of the elderly, and determine a plurality of applicable sleeping positions currently applicable to the elderly based on the preset health data;

[0076] A sequence determination unit, used to respectively obtain the limb placement features of various sleeping postures, determine the positions where blood circulation is easily obstructed based on the limb placement features, and mark the positions where blood circulation is easily obstructed;

[0077] Comparing multiple sleeping positions according to the marking results, determining the sleeping position adjustment association relationship between the various sleeping positions, and determining multiple switching sequences between the various sleeping positions based on the sleeping position adjustment association relationship;

[0078] An interval determination unit, used to obtain historical bed rest perception data of the elderly, and determine the maintenance time of each suitable sleeping position based on the historical bed rest perception data and combined with preset health data;

[0079] The process generation unit generates a plurality of sleeping position switching processes based on a plurality of switching sequences and the holding time.

[0080] In this embodiment, the position where blood circulation is easily obstructed refers to maintaining a certain sleeping position for a long time, which may cause compression of organs or blood vessels, resulting in poor blood circulation or physical discomfort (for example, numbness in hands and feet, etc.).

[0081] In this embodiment, the preset health data refers to the caregiver manually inputting or importing information synchronization of the elderly person's medical records to determine the type of disease the elderly person suffers from. According to the disease, the elderly person's contraindicated sleeping positions and suitable sleeping positions are determined and screened from a variety of sleeping positions to obtain a variety of sleeping positions that are in line with the elderly person's actual physical condition.

[0082] In this embodiment, the sleeping posture adjustment association refers to the transformation order relationship of each body part of each sleeping posture elderly person, for example, the transition from left side lying to right side lying must first go through the elderly supine stage. If supine is also an applicable posture for the elderly, the association between supine and left side lying is stronger than that of right side lying, and the switching order of left side lying to right side lying is left side lying → supine → right side lying. If the current lying posture is supine, in the switching order, it can be supine → right side lying → supine → left side lying, or supine → right side lying → supine → right side lying, and when in a certain type of lying posture, the posture adjustment within the lying posture category can also be completed according to the adjustment of the angle of a certain part of the elderly. The lying posture described in the present invention includes but is not limited to supine, side lying (including right side lying and left side lying) and prone lying. In the process of lying on the back, a variety of supine postures are obtained due to different heights of the head or legs; similarly, due to the movable components of the nursing bed, there are multiple angles of side lying, and the positions of the elderly's limbs are different, resulting in a variety of side lying postures.

[0083] The beneficial effects of the above technical solution are as follows: the present invention obtains the preset health data of the elderly, and based on the preset health data, determines a variety of applicable sleeping positions currently applicable to the elderly, determines a sleeping position that suits the actual physical condition of the elderly, and reduces the potential sleep risk caused by incorrect sleeping position. Thereafter, the limb placement characteristics of the various sleeping positions are respectively obtained, and based on the limb placement characteristics, the positions where blood circulation is easily obstructed are determined, and the positions where blood circulation is easily obstructed are marked; according to the marking results, a plurality of sleeping positions are compared, and the sleeping position adjustment association relationship between each sleeping position is determined, and based on the sleeping position adjustment association relationship, a plurality of switching sequences between each sleeping position are determined, and the posture adjustment amplitude is controlled within a certain range to avoid the problem of physical discomfort of the elderly caused by large switching fluctuations, and a plurality of switching sequences are determined in advance, which is beneficial for the system to flexibly adjust according to the actual lying position of the elderly, and is beneficial for improving the intelligence of the system.

[0084] Embodiment 3:

[0085] Based on Embodiment 2, the interval determination unit includes:

[0086] A change determination subunit, for determining pressure perception changes in a plurality of fixed intervals based on historical bed-resting perception data, and determining sleeping posture change nodes in each fixed interval according to the pressure perception changes;

[0087] The impact determination subunit is used to obtain the node breathing perception data corresponding to each sleeping posture change node, compare the node breathing perception data corresponding to each sleeping posture change node with the standard sleep breathing data, and determine whether the sleeping posture change corresponding to each sleeping posture change node affects the sleep quality of the elderly;

[0088] If the node breathing perception data is inconsistent with the standard sleep breathing data, it is determined that the sleeping posture change corresponding to the current sleeping posture change node affects the sleep quality of the elderly;

[0089] Otherwise, it is determined that the sleeping posture change corresponding to the current sleeping posture change node does not affect the elderly's sleep quality;

[0090] A reference determination unit, for performing screening within different fixed intervals based on the determination result of the influence determination subunit, to obtain a group of adjacent sleeping posture change nodes that do not affect the sleep quality of the elderly;

[0091] The historical interval times corresponding to multiple adjacent sleeping posture change node groups corresponding to multiple fixed intervals are respectively obtained for comparison to obtain the maximum historical time interval, and the maximum historical time interval is used as the retention time.

[0092] In this embodiment, the fixed interval refers to a fixed time period, generally a sleep cycle of the elderly (20:00 to 7:00 the next day).

[0093] In this embodiment, the sleeping posture change node refers to a node where the posture of the elderly person changes.

[0094] In this embodiment, the adjacent sleeping posture change node group refers to a node group consisting of a plurality of consecutive sleeping posture change nodes that do not affect the sleep quality of the elderly within the same fixed interval.

[0095] In this embodiment, the historical interval time refers to the time interval between each sleeping posture change node and the adjacent sleeping posture change node in the adjacent sleeping posture change node group.

[0096] The beneficial effects of the above technical solution: the present invention determines the changes in the sleeping posture of the elderly in different fixed periods based on the historical bed-lying perception data of the elderly, and based on the sleeping posture changes, intercepts adjacent sleeping posture change node groups to obtain the historical time intervals of posture changes that do not affect the elderly's sleep, and uses the maximum historical time interval as the reference time for the elderly's posture maintenance, providing a basis for adjusting the elderly's posture, avoiding too frequent or too sparse posture changes that affect the elderly's sleep quality, and ensuring that the elderly's sleeping posture is adjusted in time to avoid physical discomfort caused by maintaining the same sleeping posture for a long time.

[0097] Embodiment 4:

[0098] Based on Example 1, the sleep sensing module, such as Figure 3 As shown, including:

[0099] A perception data collection unit, used for collecting various bed-lying data based on various built-in sensors to generate bed-lying perception data;

[0100] A sensing and warning unit, used to compare various life characteristic data in the bed sensing data with their corresponding alarm conditions;

[0101] When any vital sign data meets the alarm conditions, a remote warning is triggered and a warning notification is sent to the remote monitoring terminal;

[0102] A perception data analysis unit is used to compare the bed pressure perception data in the current moment with the bed pressure perception data at the previous moment to determine whether there is a change in the pressure data. If so, it is determined that the elderly's sleeping position has changed. When the current moment is a holding stage, it is determined that the elderly's sleeping position has automatically changed;

[0103] Otherwise, the elderly person's sleeping posture is judged to be normal.

[0104] In this embodiment, the holding stage refers to the holding time corresponding to a certain sleeping posture.

[0105] In this embodiment, the vital sign data includes but is not limited to respiratory rate, blood oxygen, heart rate, and body temperature.

[0106] The beneficial effects of the above technical solution are as follows: after the present invention completes the collection of bed-lying perception data through the perception data collection unit, the perception warning unit compares the various life characteristic data in the bed-lying perception data with their corresponding alarm conditions respectively, completes the monitoring of the vital characteristic data of the elderly, and triggers a remote warning when the data is abnormal, and sends a warning notification to the remote monitoring terminal to realize automatic monitoring of the elderly's sleep at night, and compares the bed pressure perception data in the bed-lying perception data at the current moment with the bed pressure perception data at the previous moment through the perception data analysis unit to determine whether there is a change in pressure data. If so, it is determined that the sleeping position of the elderly has changed. When the current moment is the holding stage, it is determined that the sleeping position of the elderly has changed automatically. Otherwise, it is determined that the sleeping position of the elderly is normal, thereby realizing the monitoring of the sleeping position of the elderly during sleep, which is conducive to timely discovering the sleeping position that is not suitable for the current physical condition of the elderly and correcting it, so as to avoid unnecessary harm to the health of the elderly caused by inappropriate sleeping position.

[0107] Embodiment 5:

[0108] Based on Example 1, the adaptive module, such as Figure 4 As shown, including:

[0109] A change judgment unit is used to sense the position of the elderly's limbs and obtain the current limb placement characteristics based on the current bed pressure sensing data when the elderly's sleeping position changes automatically;

[0110] Compare the current limb placement features with the applicable posture features. If the current limb placement features are inconsistent with the posture features corresponding to all applicable sleeping positions, it is determined that the elderly's autonomous posture change needs to be adaptively adjusted, and the holding time is re-timed;

[0111] Otherwise, it is determined that the elderly's autonomous posture changes do not require adaptive adjustments;

[0112] An adaptive adjustment unit is used to determine the best switching applicable sleeping position and the bed posture adjustment strategy for the elderly based on the current sleeping position and the available pressure change range for sleeping position adjustment when the elderly's autonomous posture changes need adaptive adjustment or any applicable sleeping position reaches the maintenance time;

[0113] Based on the bed posture adjustment strategy, the area of ​​the bed board to be moved is gradually and adaptively adjusted to switch the elderly's bed posture to the best and suitable sleeping position.

[0114] In this embodiment, the adjustable available pressure variation interval refers to the area on the nursing bed that is not occupied by the elderly person's current sleeping position.

[0115] The beneficial effects of the above technical solution: the present invention detects the automatic change of posture of the elderly, determines whether the automatically changed posture of the elderly is any applicable sleeping posture, and if not, based on the current sleeping posture and combined with the available pressure change range for sleeping posture adjustment, determines the best switching applicable sleeping posture and the elderly's bed posture adjustment strategy; based on the bed posture adjustment strategy, the area of ​​the bed board to be mobilized is gradually adaptively adjusted, and the elderly's bed posture is switched to the best switching applicable sleeping posture, thereby achieving the purpose of real-time monitoring and at the same time ensuring the correctness of the elderly's sleeping posture at all times, effectively reducing the unnecessary burden on the elderly's physical health caused by the occurrence of taboo sleeping postures.

[0116] Embodiment 6:

[0117] Based on Example 5, the adaptive module, such as Figure 4 As shown, it also includes:

[0118] A classification analysis unit, used to classify the sleeping posture change nodes based on the judgment result of the influence judgment subunit, and obtain a yes node set and a no node set;

[0119] Synchronously obtain the node pressure perception data corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node in the No node set, and determine the adjacent node pressure perception data corresponding to the adjacent change node corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node;

[0120] Compare the pressure sensing data of multiple nodes with the corresponding pressure sensing data of adjacent nodes to obtain the pressure change interval;

[0121] All pressure variation amplitudes corresponding to the node set are compared to obtain the maximum pressure variation amplitude.

[0122] Based on the maximum pressure change amplitude and the impact pressure change amplitude, the available pressure change range for sleeping position adjustment is obtained.

[0123] In this embodiment, the yes node set refers to a set of sleeping posture change nodes that affect the sleep of the elderly; the no node set refers to a set of sleeping posture change nodes that do not affect the sleep of the elderly. Among them, the no sleeping posture change node is the sleeping posture change node in the no node set; the yes sleeping posture change node is the sleeping posture change node in the yes node set.

[0124] In this embodiment, the adjacent change node refers to a sleeping posture change node that is adjacent to a sleeping posture change node within a fixed period.

[0125] In this embodiment, the interval affecting pressure change refers to the interval formed by the difference between multiple node pressure perception data and corresponding adjacent node pressure perception data. The pressure perception data refers to the average value of the pressure perceived by all pressure sensors that can perceive a certain sleeping posture.

[0126] In this embodiment, the pressure change amplitude refers to the pressure perception data difference between temporally adjacent sleeping posture change nodes in the node set.

[0127] The beneficial effects of the above technical solution: The present invention determines the available pressure change range for adjusting each sleeping position through the pressure changes between the nodes of the elderly's various sleeping positions, provides a basis for determining the speed of automatic posture adjustment of the nursing bed, avoids the situation where posture adjustment is too fast and affects the elderly's sleep quality, and improves user experience.

[0128] Embodiment 7:

[0129] On the basis of Embodiment 5, the adaptive adjustment unit includes:

[0130] A sleeping position switching determination subunit is used to screen multiple sleeping position switching processes based on the current applicable sleeping position to determine the best sleeping position switching process if the current sleeping position is an applicable sleeping position;

[0131] Based on the optimal sleeping position switching process, determining a connecting sleeping position of the current sleeping position, and using the connecting sleeping position as the optimal switching applicable sleeping position;

[0132] If the current sleeping position is a self-changing position, the limb placement features corresponding to the current sleeping position are compared with the limb placement features of multiple applicable sleeping positions to obtain the lying position similarity, and the applicable sleeping position corresponding to the maximum lying position similarity is used as the best switching applicable sleeping position.

[0133] In this embodiment, the oblique sleeping posture refers to the target applicable sleeping posture that needs to be adjusted when the current sleeping posture is maintained for a certain period of time.

[0134] The beneficial effects of the above technical solution are as follows: if the current sleeping position is an applicable sleeping position, the present invention screens among multiple sleeping position switching processes based on the current applicable sleeping position to determine the best sleeping position switching process; based on the best sleeping position switching process, determines the connecting sleeping position of the current sleeping position, and uses the connecting sleeping position as the best switching applicable sleeping position. Quickly completing the determination of the best switching applicable sleeping position is conducive to shortening the preparation time for sleeping position switching and improving the response efficiency of sleeping position switching; if the current sleeping position is an autonomously changing posture, the limb placement characteristics corresponding to the current sleeping position are compared with the limb placement characteristics of multiple applicable sleeping positions to obtain the lying position similarity, and uses the applicable sleeping position corresponding to the maximum lying position similarity as the best switching applicable sleeping position. When the current sleeping position of the elderly is inappropriate, the applicable sleeping position with less adjustment is selected as the target sleeping position as much as possible, effectively reducing the adjustment position and adjustment amplitude of the elderly's sleeping position, and reducing the risk of the impact of sleeping position calibration adjustment on the elderly's sleep.

[0135] Embodiment 8:

[0136] On the basis of Embodiment 5, the adaptive adjustment unit includes:

[0137] A strategy generation subunit, for determining a distribution feature of a current force point corresponding to the current sleeping posture based on the obtained bed pressure sensing data corresponding to the current sleeping posture and the bed pressure sensing data;

[0138] Obtain the distribution characteristics of the switching force points corresponding to the best switching sleeping posture, compare the characteristics of the current force points with the characteristics of the switching force points, and determine the force points to be switched;

[0139] Based on the force point to be switched, the bed board maneuvering area is determined, and based on the distribution characteristics of the maneuvering components, the maneuvering area is divided into maneuvering groups to obtain multiple bed board areas to be maneuvered;

[0140] The force points to be switched are grouped based on the division result of the area of ​​the bed board to be adjusted to obtain multiple force point switching groups;

[0141] The actual perceived pressure corresponding to each focus point switching group is obtained respectively, and the ideal perceived pressure when each focus point switching group is switched is predicted based on the focus point distribution characteristics of the current sleeping posture and the difference in focus point distribution between the current sleeping posture and the optimal switching applicable sleeping posture;

[0142] The adjustment pressure is obtained based on the ideal perceived pressure and the actual perceived pressure, and any adjustment value is selected in the available pressure change range for sleeping posture adjustment to obtain the pressure adjustment speed and adaptive time corresponding to each bed board area to be adjusted, and generate a bed posture adjustment strategy.

[0143] The beneficial effects of the above technical solution are as follows: the present invention first determines the difference in force distribution between the current sleeping posture and the optimal switching sleeping posture, determines the force points to be switched corresponding to the sleeping posture switching according to the difference, divides the area to be adjusted for posture adjustment into groups based on the distribution characteristics of the bed adjustment components, and obtains a plurality of bed board areas to be adjusted; then, the force points to be switched are grouped according to the division result of the bed board area to be adjusted, and a plurality of force point switching groups are obtained, thereby completing the fine processing of the sleeping posture adjustment; then, the actual perceived pressure corresponding to each force point switching group is obtained respectively, and the ideal perceived pressure when each force point switching group is switched is predicted based on the force point distribution characteristics of the current sleeping posture and the force point distribution difference between the current sleeping posture and the optimal switching sleeping posture; the adjustment pressure is obtained based on the ideal perceived pressure and the actual perceived pressure, and any adjustment value is selected in the pressure change range available for the sleeping posture adjustment, and the pressure adjustment speed and adaptive time corresponding to each bed board area to be adjusted are obtained, and a bed posture adjustment strategy is generated, so as to realize the determination of the adjustment strategy of the refined area, and provide a basis for the precise activity of each component during the sleeping posture adjustment process.

[0144] Embodiment 9:

[0145] On the basis of Embodiment 8, the adaptive adjustment unit includes:

[0146] The adjustment control subunit is used to generate a corresponding number of control instructions based on the division result of the bed board area to be adjusted corresponding to the bed posture adjustment strategy and the pressure adjustment speed, and control the corresponding bed board area to be adjusted to be automatically adjusted within the corresponding adjustment time;

[0147] After all the areas of the bed to be adjusted are adjusted, the maintenance time of the best switching sleeping position is counted.

[0148] The beneficial effects of the above technical solution: the present invention generates a corresponding number of control instructions by adjusting the control subunit based on the division result of the bed board area to be adjusted corresponding to the bed posture adjustment strategy and the pressure adjustment speed, and controls the corresponding bed board area to be adjusted to be automatically adjusted within the corresponding adjustment time, thereby realizing targeted and precise control of the sleeping posture, which is beneficial to improving the accuracy of the sleeping posture adjustment of the elderly and reducing the discomfort during the sleeping posture adjustment process as much as possible; and after the adjustment of all the bed board areas to be adjusted is completed, the holding time of the best switching applicable sleeping posture is timed, thereby realizing automatic monitoring of the holding time of each sleeping posture, and providing a basis for the automatic adjustment of the applicable sleeping posture.

[0149] Embodiment 10:

[0150] The present invention provides an intelligent elderly care bed monitoring system, which is applied to any one of the intelligent elderly care beds described in embodiments 1-9, comprising:

[0151] The main control module is used to control the lying posture determination module, the sleep sensing module, the adaptive module and various components of the nursing bed to work together.

[0152] The beneficial effects of the above technical solution: the present invention controls the lying posture determination module, the sleep sensing module, the adaptive module and the various components of the nursing bed through the main control module to work together, thereby realizing intelligent monitoring and intelligent adjustment of the sleeping posture of the elderly. The bed can be automatically adjusted according to the physical condition and sleep needs of the elderly, and personalized care is provided for the elderly's sleep, thereby achieving the purpose of adjusting the sleeping posture of the elderly without affecting the sleep quality of the elderly.

[0153] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent elderly care bed, characterized in that: include: A lying position determination module is used to determine multiple suitable sleeping positions for the elderly and multiple sleeping position switching processes based on the elderly's preset health data; The sleep sensing module is used to collect various bed-lying data through various built-in sensors, obtain bed-lying sensing data, and analyze the bed-lying sensing data to obtain sensing results; The adaptive module is used to determine the best sleeping position switching process based on the perception results, and according to the best sleeping position switching process, gradually and adaptively adjust the area of ​​the bed board to be moved, so as to switch the elderly's lying position to the best switching applicable sleeping position; The lying posture determination module includes: A sleeping position determination unit, used to obtain preset health data of the elderly, and determine a plurality of applicable sleeping positions currently applicable to the elderly based on the preset health data; A sequence determination unit, used to respectively obtain the limb placement features of various sleeping postures, determine the positions where blood circulation is easily obstructed based on the limb placement features, and mark the positions where blood circulation is easily obstructed; Comparing multiple sleeping positions according to the marking results, determining the sleeping position adjustment association relationship between the sleeping positions, and determining multiple switching sequences between the sleeping positions based on the sleeping position adjustment association relationship; An interval determination unit, used to obtain historical bed rest perception data of the elderly, and determine the maintenance time of each suitable sleeping position based on the historical bed rest perception data and combined with preset health data; A process generation unit, which generates multiple sleeping position switching processes based on multiple switching sequences and the holding time; An interval determination unit, comprising: A change determination subunit, for determining pressure perception changes in a plurality of fixed intervals based on historical bed-resting perception data, and determining sleeping posture change nodes in each fixed interval according to the pressure perception changes; The impact determination subunit is used to obtain the node breathing perception data corresponding to each sleeping posture change node, compare the node breathing perception data corresponding to each sleeping posture change node with the standard sleep breathing data, and determine whether the sleeping posture change corresponding to each sleeping posture change node affects the sleep quality of the elderly; If the node breathing perception data is inconsistent with the standard sleep breathing data, it is determined that the sleeping posture change corresponding to the current sleeping posture change node affects the sleep quality of the elderly; Otherwise, it is determined that the sleeping posture change corresponding to the current sleeping posture change node does not affect the elderly's sleep quality; A reference determination unit, for performing screening within different fixed intervals based on the determination result of the influence determination subunit, to obtain a group of adjacent sleeping posture change nodes that do not affect the sleep quality of the elderly; The historical interval times corresponding to multiple adjacent sleeping posture change node groups corresponding to multiple fixed intervals are respectively obtained for comparison to obtain the maximum historical time interval, and the maximum historical time interval is used as the retention time.

2. The intelligent elderly care bed according to claim 1, characterized in that: Sleep sensing module, including: A perception data collection unit, used for collecting various bed-lying data based on various built-in sensors to generate bed-lying perception data; A sensing and warning unit, used to compare various life characteristic data in the bed sensing data with their corresponding alarm conditions; When any vital sign data meets the alarm conditions, a remote warning is triggered and a warning notification is sent to the remote monitoring terminal; A perception data analysis unit is used to compare the bed pressure perception data in the current moment with the bed pressure perception data at the previous moment to determine whether there is a change in the pressure data. If so, it is determined that the elderly's sleeping position has changed. When the current moment is a holding stage, it is determined that the elderly's sleeping position has automatically changed; Otherwise, the elderly person's sleeping posture is judged to be normal.

3. The intelligent elderly care bed according to claim 1, characterized in that: Adaptive modules, including: A change judgment unit is used to sense the position of the elderly's limbs and obtain the current limb placement characteristics based on the current bed pressure sensing data when the elderly's sleeping position changes automatically; Compare the current limb placement features with the applicable posture features. If the current limb placement features are inconsistent with the posture features corresponding to all applicable sleeping positions, it is determined that the elderly's autonomous posture change needs to be adaptively adjusted, and the holding time is re-timed; Otherwise, it is determined that the elderly's autonomous posture changes do not require adaptive adjustments; An adaptive adjustment unit is used to determine the best switching applicable sleeping position and the bed posture adjustment strategy for the elderly based on the current sleeping position and the available pressure change range for sleeping position adjustment when the elderly's autonomous posture changes need adaptive adjustment or any applicable sleeping position reaches the maintenance time; Based on the bed posture adjustment strategy, the area of ​​the bed board to be moved is gradually and adaptively adjusted to switch the elderly's bed posture to the best and suitable sleeping position.

4. The intelligent elderly care bed according to claim 3, characterized in that: Adaptive modules also include: A classification analysis unit, used to classify the sleeping posture change nodes based on the judgment result of the influence judgment subunit, and obtain a yes node set and a no node set; Synchronously obtain the node pressure perception data corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node in the No node set, and determine the adjacent node pressure perception data corresponding to the adjacent change node corresponding to each No sleeping posture change node with an adjacent Yes sleeping posture change node; Compare the pressure sensing data of multiple nodes with the corresponding pressure sensing data of adjacent nodes to obtain the pressure change interval; Compare all pressure change amplitudes corresponding to the node set to obtain the maximum pressure change amplitude; Based on the maximum pressure change amplitude and the impact pressure change amplitude, the available pressure change range for sleeping position adjustment is obtained.

5. The intelligent elderly care bed according to claim 3, characterized in that: Adaptive adjustment unit, comprising: A sleeping position switching determination subunit is used to screen multiple sleeping position switching processes based on the current applicable sleeping position to determine the best sleeping position switching process if the current sleeping position is an applicable sleeping position; Based on the optimal sleeping position switching process, determining a connecting sleeping position of the current sleeping position, and using the connecting sleeping position as the optimal switching applicable sleeping position; If the current sleeping position is a self-changing position, the limb placement features corresponding to the current sleeping position are compared with the limb placement features of multiple applicable sleeping positions to obtain the lying position similarity, and the applicable sleeping position corresponding to the maximum lying position similarity is used as the best switching applicable sleeping position.

6. The intelligent elderly care bed according to claim 3, characterized in that: Adaptive adjustment unit, comprising: A strategy generation subunit, for determining a distribution feature of a current force point corresponding to the current sleeping posture based on the obtained bed pressure sensing data corresponding to the current sleeping posture and the bed pressure sensing data; Obtain the distribution characteristics of the switching force points corresponding to the best switching sleeping posture, compare the characteristics of the current force points with the characteristics of the switching force points, and determine the force points to be switched; Based on the force point to be switched, the bed board maneuvering area is determined, and based on the distribution characteristics of the maneuvering components, the maneuvering area is divided into maneuvering groups to obtain multiple bed board areas to be maneuvered; The force points to be switched are grouped based on the division result of the area of ​​the bed board to be adjusted to obtain multiple force point switching groups; The actual perceived pressure corresponding to each focus point switching group is obtained respectively, and the ideal perceived pressure when each focus point switching group is switched is predicted based on the focus point distribution characteristics of the current sleeping posture and the difference in focus point distribution between the current sleeping posture and the optimal switching applicable sleeping posture; The adjustment pressure is obtained based on the ideal perceived pressure and the actual perceived pressure, and any adjustment value is selected in the available pressure change range for sleeping posture adjustment to obtain the pressure adjustment speed and adaptive time corresponding to each bed board area to be adjusted, and generate a bed posture adjustment strategy.

7. The intelligent elderly care bed according to claim 6, characterized in that: Adaptive adjustment unit, comprising: The adjustment control subunit is used to generate a corresponding number of control instructions based on the division result of the bed board area to be adjusted corresponding to the bed posture adjustment strategy and the pressure adjustment speed, and control the corresponding bed board area to be adjusted to be automatically adjusted within the corresponding adjustment time; After all the areas of the bed to be adjusted are adjusted, the maintenance time of the best switching sleeping position is counted.

8. An intelligent elderly care bed monitoring system, applied to any one of the intelligent elderly care beds described in claims 1-7, characterized in that: include: The main control module is used to control the lying posture determination module, the sleep sensing module, the adaptive module and various components of the nursing bed to work together; The lying posture determination module includes: A sleeping position determination unit, used to obtain preset health data of the elderly, and determine a plurality of applicable sleeping positions currently applicable to the elderly based on the preset health data; A sequence determination unit, used to respectively obtain the limb placement features of various sleeping postures, determine the positions where blood circulation is easily obstructed based on the limb placement features, and mark the positions where blood circulation is easily obstructed; Comparing multiple sleeping positions according to the marking results, determining the sleeping position adjustment association relationship between the sleeping positions, and determining multiple switching sequences between the sleeping positions based on the sleeping position adjustment association relationship; An interval determination unit, used to obtain historical bed rest perception data of the elderly, and determine the maintenance time of each suitable sleeping position based on the historical bed rest perception data and combined with preset health data; A process generation unit, which generates multiple sleeping position switching processes based on multiple switching sequences and the holding time; An interval determination unit, comprising: A change determination subunit, for determining pressure perception changes in a plurality of fixed intervals based on historical bed-resting perception data, and determining sleeping posture change nodes in each fixed interval according to the pressure perception changes; The impact determination subunit is used to obtain the node breathing perception data corresponding to each sleeping posture change node, compare the node breathing perception data corresponding to each sleeping posture change node with the standard sleep breathing data, and determine whether the sleeping posture change corresponding to each sleeping posture change node affects the sleep quality of the elderly; If the node breathing perception data is inconsistent with the standard sleep breathing data, it is determined that the sleeping posture change corresponding to the current sleeping posture change node affects the sleep quality of the elderly; Otherwise, it is determined that the sleeping posture change corresponding to the current sleeping posture change node does not affect the elderly's sleep quality; A reference determination unit, for performing screening within different fixed intervals based on the determination result of the influence determination subunit, to obtain a group of adjacent sleeping posture change nodes that do not affect the sleep quality of the elderly; The historical interval times corresponding to multiple adjacent sleeping posture change node groups corresponding to multiple fixed intervals are respectively obtained for comparison to obtain the maximum historical time interval, and the maximum historical time interval is used as the retention time.

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