CN117084640B - Intelligent pressure sore prevention nursing system based on 5G and control method thereof - Google Patents
Intelligent pressure sore prevention nursing system based on 5G and control method thereof Download PDFInfo
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Abstract
The application provides an intelligent pressure sore prevention nursing system based on 5G and a control method thereof, wherein a body position skin pressure curve set of a patient with pressure injury is monitored and acquired through 5G remote monitoring equipment; determining the data variability of each body position skin pressure data point in each body position skin pressure curve, and screening the body position skin pressure curve according to the data variability to obtain a body position skin pressure curve set without difference; performing dimension elimination on each non-difference body position skin pressure curve to obtain a standard body position skin pressure data set; for all body position skin pressure sequences in the standard body position skin pressure data set, determining a reconstructed body position skin pressure sequence according to the adjacent skin pressure variation and the interval skin pressure variation to obtain a reconstructed body position skin pressure data set; when the body position skin pressure balance degree of the patient with the pressure injury, which is determined by reconstructing the body position skin pressure data set, is lower than a preset skin pressure balance threshold value, warning information is sent to nursing staff through a 5G network, so that the body position skin pressure warning information about the patient with the pressure injury can be sent in time.
Description
Technical Field
The application relates to the technical field of pressure sore prevention nursing, in particular to an intelligent pressure sore prevention nursing system based on 5G and a control method thereof.
Background
Pressure sore prevention care refers to a series of measures provided for people lying in bed, sitting or having inconvenient actions for a long time to prevent occurrence of pressure damages (also called pressure sores or bedsores), local pressure concentration is caused by maintaining the same body position for a long time, so that the risk of the pressure damages is increased, and a 5G-based intelligent pressure sore prevention care system is an innovative solution for monitoring, evaluating and preventing the pressure damages by utilizing advanced technologies and sensors, and can be combined with Internet of things, artificial intelligence and medical care to provide more effective pressure sore prevention and care.
The intelligent pressure sore prevention nursing system based on 5G can realize faster and reliable data transmission and remote monitoring by means of the characteristics of high speed, low delay and large capacity transmission of the 5G technology, a pressure sensing sensor is arranged on a mattress, a cushion or a chair to monitor the body position and skin pressure distribution condition of a patient suffering from pressure injury, the sensor transmits data to the intelligent pressure sore prevention nursing system in real time, a data center is responsible for receiving, storing and processing sensor data, the data center can be a cloud server, a plurality of monitoring points are connected through a 5G network, an application platform is used for data analysis, alarm notification, remote monitoring and other functions, and the intelligent pressure sore prevention nursing system can be a special nursing staff workstation or a mobile application program.
However, in the prior art, the body position skin pressure data of the patient with the pressure injury are acquired in real time through the sensor, the acquired body position skin pressure data are redundant and complicated and have interference and noise, and when the body position skin pressure data of the patient with the pressure injury are analyzed and warned, the problem that the body position skin pressure warning information of the patient with the pressure injury is not timely transmitted exists.
Disclosure of Invention
The application provides an intelligent pressure sore prevention nursing system based on 5G and a control method thereof, which are used for solving the technical problem that body position skin pressure warning information of a patient suffering from pressure injury is not sent timely.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a control method of a 5G-based intelligent pressure sore prevention care system, including the following steps:
after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, the body position skin pressure data of the patient with pressure damage is monitored through 5G remote monitoring equipment, and a body position skin pressure curve set is obtained;
for each body position skin pressure curve in the body position skin pressure curve set, determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve, screening the body position skin pressure curve according to the data variation degree to obtain a body position skin pressure curve without difference, and further determining a body position skin pressure curve set without difference;
Performing dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and further determining a standard body position skin pressure data set;
for all body position skin pressure sequences in the standard body position skin pressure data set, determining a reconstructed body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence, and further determining a reconstructed body position skin pressure data set;
and determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value.
In some embodiments, monitoring, by the 5G remote monitoring device, body position skin pressure data of a patient with pressure damage, the body position skin pressure curve set specifically includes:
monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment, and acquiring the body position skin pressure data according to the detection time sequence;
and drawing a corresponding body position skin pressure curve according to the body position skin pressure data of each acquisition time point to obtain body position skin pressure curves corresponding to different acquisition time points, and further determining a body position skin pressure curve set.
In some embodiments, determining the degree of variability of the data for each body position skin pressure data point in the body position skin pressure curve specifically includes:
acquiring all body position skin pressure data points in a body position skin pressure curve;
determining the number of body position skin pressure data points in the body position skin pressure curve;
determining a mathematical expectation of the body position skin pressure curve;
determining the data variability of each body position skin pressure data point in the body position skin pressure curve according to preset body position skin pressure data points without difference, all body position skin pressure data points in the body position skin pressure curve, the number of body position skin pressure data points in the body position skin pressure curve and the mathematical expectation of the body position skin pressure curve, wherein the data variability of each body position skin pressure data point is determined according to the following formula:
wherein,indicate->The>The degree of variability of the data of individual skin pressure data points,representing a preset body position skin pressure data point, < ->Indicate->The>Individual skin pressure data points,/->Indicate->Number of body position skin pressure data points in the strip body position skin pressure curve, < >>Indicate->Mathematical expectation of the strip body position skin pressure curve.
In some embodiments, the step of screening the body position skin pressure curve according to the data variability specifically includes:
Taking the body position skin pressure data points with the data variability degree larger than a preset variability threshold value in the body position skin pressure curve as abnormal data points;
and deleting the abnormal data points from the body position skin pressure curve to obtain a body position skin pressure curve without difference.
In some embodiments, performing dimension elimination on each non-differential body position skin pressure curve in the set of non-differential body position skin pressure curves specifically includes:
for each non-differential body position skin pressure curve, each non-differential body position skin pressure data point in the non-differential body position skin pressure curve is divided by the maximum value in the non-differential body position skin pressure curve.
In some embodiments, determining the reconstructed body position skin pressure sequence from the adjacent skin pressure variation and the interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence specifically comprises:
for each body position skin pressure data point in each body position skin pressure sequence, determining a skin pressure change threshold set of the body position skin pressure data point according to adjacent skin pressure change amounts and interval skin pressure change amounts corresponding to the body position skin pressure data point;
and judging whether the body position skin pressure data points are reconstructed body position skin pressure data points according to the skin pressure change threshold value set, and further determining all reconstructed body position skin pressure data points to obtain a reconstructed body position skin pressure sequence.
In some embodiments, the adjacent skin pressure variation includes a first adjacent skin pressure variation parameter and a second adjacent skin pressure variation parameter, and the interval skin pressure variation includes a first interval skin pressure variation parameter and a second interval skin pressure variation parameter.
In a second aspect, the application provides an intelligence prevents pressing sore nursing system based on 5G, including position skin pressure warning unit, position skin pressure warning unit includes:
the body position skin pressure curve set determining module is used for monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, so as to obtain a body position skin pressure curve set;
the body position skin pressure curve set determining module is used for determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve for each body position skin pressure curve in the body position skin pressure curve set, screening the body position skin pressure curve according to the data variation degree to obtain a body position skin pressure curve without difference, and further determining a body position skin pressure curve set without difference;
the standard body position skin pressure data set determining module is used for carrying out dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and further determining a standard body position skin pressure data set;
The reconstruction body position skin pressure data set determining module is used for determining a reconstruction body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence for all body position skin pressure sequences in the standard body position skin pressure data set, so as to determine a reconstruction body position skin pressure data set;
and the body position skin pressure warning module is used for determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value.
In a third aspect, the present application provides a computer device, where the computer device includes a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to invoke and run the computer program from the memory, so that the computer device executes the control method of the 5G-based intelligent pressure sore prevention care system.
In a fourth aspect, the present application provides a computer readable storage medium, where instructions or codes are stored, where the instructions or codes when executed on a computer cause the computer to implement the control method of the 5G-based intelligent pressure sore prevention care system.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the intelligent pressure sore prevention nursing system based on 5G and the control method thereof, after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, body position skin pressure data of a patient suffering from pressure injury are monitored through 5G remote monitoring equipment, and a body position skin pressure curve set is obtained; for each body position skin pressure curve in the body position skin pressure curve set, determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve, screening the body position skin pressure curve according to the data variation degree to obtain a body position skin pressure curve without difference, and further determining a body position skin pressure curve set without difference; performing dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and further determining a standard body position skin pressure data set; for all body position skin pressure sequences in the standard body position skin pressure data set, determining a reconstructed body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence, and further determining a reconstructed body position skin pressure data set; and determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value.
In this application, at first, can realize real-time position skin pressure monitoring through 5G remote monitoring equipment, need not to use wired connection, thereby the flexibility and the convenience of monitoring have been improved, through confirming the skin pressure curve of position, can judge more accurately whether the patient of pressure damage has the risk of developing pressure sore, in time take intervention measure, avoid skin to receive pressure damage, secondly, through confirming data variation, can help getting rid of abnormal value and noise in the skin pressure data, thereby improve reliability and the accuracy of skin pressure data of position, and then avoid damaging the pressure sore risk of patient because of individual abnormal data point misjudgement pressure nature, then, can simplify the skin pressure data analysis process through the dimension elimination, avoid needing to consider the dimensional problem of different body position skin pressure data in the analysis process, make the analysis more efficient and timely, and then, through confirming the measurement of reconstructed body position skin pressure data set, can compress each body position skin pressure sequence into less characteristic, thereby reduce the dimension of body position skin pressure data, make the body position skin balance calculation complexity more low, can carry out the pressure skin pressure data and the pressure skin pressure data of position can be more rapidly carried out, and the warning information is sent to the skin pressure data, in time, the warning information is sent to the warning skin pressure data, the warning is carried out to the patient, the warning skin pressure data is more convenient, the warning is carried out, the skin pressure data is judged in time, the warning is carried out, the skin pressure is measured, the warning is measured, and is measured, the position skin pressure data is measured, and better is convenient, and more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is an exemplary flow chart of a control method of a 5G-based intelligent anti-pressure sore care system, according to some embodiments of the present application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of a body position skin pressure warning unit shown in accordance with some embodiments of the present application;
fig. 3 is a schematic structural diagram of a computer device implementing a control method of a 5G-based intelligent anti-pressure sore care system according to some embodiments of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart illustrating a control method of a 5G-based intelligent pressure sore prevention care system according to some embodiments of the present application, the control method 100 of the 5G-based intelligent pressure sore prevention care system mainly includes the following steps:
in step 101, after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, the body position skin pressure data of the patient with pressure damage is monitored through the 5G remote monitoring equipment, and a body position skin pressure curve set is obtained.
In some embodiments, pressure sore prevention nursing is started, pressure sensors are arranged at the positions of a mattress or a bed of a patient suffering from pressure injury, body position skin pressure data of the patient suffering from pressure injury are collected, the collected data are rapidly transmitted to an intelligent pressure sore prevention nursing system in real time through 5G remote monitoring equipment, so that the body position skin pressure data can be monitored in real time, the body position of the patient is recorded at each collection time point, and corresponding body position skin pressure data, namely, the pressure data of different skin surfaces under the body position of the patient suffering from pressure injury are recorded.
It should be noted that, in the present application, the 5G remote monitoring device refers to a remote medical monitoring device connected through a 5G network, where the 5G remote monitoring device may remotely detect various sign data of a patient in real time, for example, monitor heart rate, blood pressure, blood oxygen saturation of the patient, body position skin pressure data of the patient with pressure injury, etc., and in specific implementation, the 5G remote monitoring device may be used as a component of an intelligent pressure sore prevention nursing system, or may be used as an auxiliary device of the intelligent pressure sore prevention nursing system, which is not limited herein.
In some embodiments, the body position skin pressure data of the patient with the pressure injury is monitored by the 5G remote monitoring device, and the body position skin pressure curve set can be obtained specifically by the following ways:
monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment, and acquiring the body position skin pressure data according to the detection time sequence;
and drawing a corresponding body position skin pressure curve according to the body position skin pressure data of each acquisition time point to obtain body position skin pressure curves corresponding to different acquisition time points, and further determining a body position skin pressure curve set.
In the specific implementation, the monitored body position skin pressure data are transmitted and collected according to the detection time sequence, the body position skin pressure data of a patient with pressure injury can be recorded at each collection time point, for each collection time point, a corresponding body position skin pressure curve is drawn according to the corresponding body position skin pressure data, generally, the horizontal axis represents the collection time, the vertical axis represents the pressure value of each skin surface, each skin of a patient with pressure injury corresponds to one body position skin pressure curve, the body position skin pressure data are collected in real time, and the body position skin pressure curves are drawn to form a set of body position skin pressure curves, and the body position skin pressure curves show the pressure distribution condition of the skin surfaces of different positions of the patient with pressure injury at different time points.
It is to be noted that, can realize real-time position skin pressure monitoring through 5G remote monitoring equipment, need not to use wired connection to improved flexibility and the convenience of monitoring, through observing position skin pressure curve, nursing staff can know the pressure distribution condition of pressure injury patient under different positions, thereby predicts more accurately whether the patient has the risk of developing pressure sore, in time takes the intervention measure, avoids skin to receive pressure injury.
In step 102, for each body position skin pressure curve in the body position skin pressure curve set, determining the data variability of each body position skin pressure data point in the body position skin pressure curve, and screening the body position skin pressure curve according to the data variability to obtain a body position skin pressure curve without difference, thereby determining the body position skin pressure curve set without difference.
In some embodiments, the following manner may be specifically adopted to determine the data variability of each body position skin pressure data point in the body position skin pressure curve, namely:
acquiring all body position skin pressure data points in a body position skin pressure curve;
determining the number of body position skin pressure data points in the body position skin pressure curve;
determining a mathematical expectation of the body position skin pressure curve;
determining the data variability of each body position skin pressure data point in the body position skin pressure curve according to preset body position skin pressure data points without difference, all body position skin pressure data points in the body position skin pressure curve, the number of body position skin pressure data points in the body position skin pressure curve and mathematical expectations of the body position skin pressure curve, wherein the data variability can be determined according to the following formula when the body position skin pressure curve is specifically realized:
Wherein,indicate->The>The degree of variability of the data of individual skin pressure data points,representing a preset body position skin pressure data point, < ->Indicate->The>Individual skin pressure data points,/->Indicate->Number of body position skin pressure data points in the strip body position skin pressure curve, < >>Indicate->The mathematical expectation of the body position skin pressure curve is to be noted that, in the application, the data variability represents the fluctuation degree of the body position skin pressure data point in the body position skin pressure curve, which means that interference or noise may exist in the body position skin pressure data point, and the subsequent analysis is affected, and the data variability is in direct proportion to the fluctuation degree of the body position skin pressure data point.
In particular, the mathematical expectation of the body position skin pressure curve can be determined by a probability density function of the body position skin pressure data, for example, the probability density function can be approximated by sampling and statistical analysis, or the probability density function can be estimated by a fitting method, without limitation, and the preset non-difference body position skin pressure data point represents a preset normal body position skin pressure data point, and the preset non-difference body position skin pressure data point has a preset pressure value.
In some embodiments, the body position skin pressure curve is screened according to the data variability, and the method for obtaining the body position skin pressure curve without difference specifically comprises the following steps:
taking the body position skin pressure data points with the data variability degree larger than a preset variability threshold value in the body position skin pressure curve as abnormal data points;
and deleting the abnormal data points from the body position skin pressure curve to obtain a body position skin pressure curve without difference.
In the specific implementation, through a preset variation threshold, body position skin pressure data points with the data variation degree larger than the preset variation threshold are regarded as abnormal data points, and then the abnormal data points are deleted from the body position skin pressure curve, so that a more stable body position skin pressure curve, namely a body position skin pressure curve without difference is obtained, the operation is carried out on each body position skin pressure curve in the body position skin pressure curve set, and finally a more stable body position skin pressure curve set, namely a body position skin pressure curve set without difference is obtained.
It should be noted that, through determining the data variability, abnormal values and noise in the body position skin pressure data can be eliminated, so that the reliability and accuracy of the body position skin pressure data are improved, after the non-difference body position skin pressure curve set is obtained, the pressure situation of the patient with pressure injury in the body position skin pressure can be reflected more accurately, and further the risk of misjudging the pressure sore of the patient with pressure injury due to individual abnormal data points is avoided.
In step 103, dimension elimination is performed on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and then a standard body position skin pressure data set is determined.
In some embodiments, the dimension elimination for each non-differential body position skin pressure curve in the set of non-differential body position skin pressure curves may be specifically performed in the following manner:
for each non-differential body position skin pressure curve, each non-differential body position skin pressure data point in the non-differential body position skin pressure curve is divided by the maximum value in the non-differential body position skin pressure curve.
In the specific implementation, through the dimension elimination step, all the body position skin pressure curves without difference can be converted into body position skin pressure sequences, and all the obtained body position skin pressure sequences are combined, so that a standard body position skin pressure data set is obtained.
It should be noted that, the numerical ranges of the skin pressure curves of different body positions can be unified through dimension elimination, order-of-magnitude difference among the skin pressure curves of different body positions is eliminated, which is helpful for better comparison and analysis, erroneous judgment caused by the absolute size of data is avoided, the dimension elimination can simplify the analysis process of the skin pressure data of the body positions, and the dimension problem that the skin pressure data of different body positions needs to be considered in the analysis process is avoided, so that the analysis is more visual and simple.
In step 104, for all body position skin pressure sequences in the standard body position skin pressure data set, a reconstructed body position skin pressure sequence is determined according to the adjacent skin pressure variation and the interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence, and then a reconstructed body position skin pressure data set is determined.
In some embodiments, the adjacent skin pressure variation includes a first adjacent skin pressure variation parameter and a second adjacent skin pressure variation parameter, and the interval skin pressure variation includes a first interval skin pressure variation parameter and a second interval skin pressure variation parameter.
In particular, a first adjacent skin pressure variation parameter and a second adjacent skin pressure variation parameter are determined from adjacent body position skin pressure data points of the body position skin pressure data points, a first interval skin pressure variation parameter is determined from interval body position skin pressure data points of the body position skin pressure data points, and a second interval skin pressure variation parameter is determined from adjacent body position skin pressure data points of the body position skin pressure data points, e.g., the body position skin pressure data points areAdjacent body position skin pressure data point is +.>And->Spacer skin pressure data point +.>The first adjacent skin pressure variation parameter is +.>The second adjacent skin pressure variation parameter is +.>The first interval skin pressure variation parameter is +. >The second interval skin pressure variation parameter is +.>It should be noted that, although the second interval skin pressure variation parameter is determined by the adjacent body position skin pressure data points of the body position skin pressure data points in the present application, the second interval skin pressure variation parameter represents the variation amount between the interval body position skin pressure data points, so the second interval skin pressure variation parameter is referred to as the second interval skin pressure variation parameter.
In some embodiments, the method for determining the reconstructed body position skin pressure sequence according to the adjacent skin pressure variation and the interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence specifically comprises the following steps:
for each body position skin pressure data point in each body position skin pressure sequence, determining a skin pressure change threshold set of the body position skin pressure data point according to adjacent skin pressure change amounts and interval skin pressure change amounts corresponding to the body position skin pressure data point;
and judging whether the body position skin pressure data points are reconstructed body position skin pressure data points according to the skin pressure change threshold value set, and further determining all reconstructed body position skin pressure data points to obtain a reconstructed body position skin pressure sequence.
In the above embodiment, the determining the skin pressure change threshold set of the body position skin pressure data point according to the adjacent skin pressure change amount and the interval skin pressure change amount corresponding to the body position skin pressure data point may specifically adopt the following manner, that is:
Acquiring the number of body position skin pressure sequences in the standard body position skin pressure data set;
determining the total body position skin pressure data of each body position skin pressure sequence in the standard body position skin pressure data set;
determining a first adjacent skin pressure change threshold and a second adjacent skin pressure change threshold according to a first adjacent skin pressure change parameter, a second adjacent skin pressure change parameter, the number of body position skin pressure sequences and the total body position skin pressure data of each body position skin pressure sequence, wherein the first adjacent skin pressure change threshold and the second adjacent skin pressure change threshold can be determined according to the following formula when the method is concretely implemented:
wherein,representing a first adjacent skin pressure change threshold, < >>Representing a second adjacent skin pressure change threshold, +.>Representing the number of body position skin pressure sequences in a standard body position skin pressure dataset, +.>Represents +.f in standard body position skin pressure dataset>Body position skin pressure data total amount of individual position skin pressure sequence,/->Representing a first adjacent skin pressureVariable parameter->Representing a second adjacent skin pressure variation parameter;
determining a first interval skin pressure change threshold and a second interval skin pressure change threshold according to a first interval skin pressure change parameter, a second interval skin pressure change parameter, the number of body position skin pressure sequences and the total body position skin pressure data of each body position skin pressure sequence, wherein the first interval skin pressure change threshold and the second interval skin pressure change threshold can be determined according to the following formulas when the method is concretely implemented:
Wherein,representing a first interval skin pressure variation threshold, < ->Representing a second interval skin pressure variation threshold, < >>Representing the number of body position skin pressure sequences in a standard body position skin pressure dataset, +.>Represents +.f in standard body position skin pressure dataset>Body position skin pressure data total amount of individual position skin pressure sequence,/->Representing a first interval skin pressure variation parameter, < >>Representing a second interval skin pressure variation parameter;
the first adjacent skin pressure change threshold, the second adjacent skin pressure change threshold, the first interval skin pressure change threshold and the second interval skin pressure change threshold determined by the steps above constitute a skin pressure change threshold set.
In the specific implementation, for each body position skin pressure data point in the body position skin pressure sequence, judging whether the body position skin pressure data point is a reconstructed body position skin pressure data point or not through a skin pressure change threshold set, ifOr->And->Or->And taking the body position skin pressure data point as a reconstructed body position skin pressure data point, determining all reconstructed body position skin pressure data points in the body position skin pressure sequence according to the steps, forming a reconstructed body position skin pressure sequence by all reconstructed body position skin pressure data points, and forming a reconstructed body position skin pressure data set by all reconstructed body position skin pressure sequences after obtaining all reconstructed body position skin pressure sequences.
It should be noted that, by determining the reconstructed body position skin pressure sequence and further determining the reconstructed body position skin pressure data set, each body position skin pressure sequence can be compressed into fewer features, so that the dimension of body position skin pressure data is reduced, the calculation complexity of body position skin pressure balance is lower, body position skin pressure data analysis can be performed more quickly, and timely judgment and warning of body position skin pressure of a patient with pressure injury are facilitated.
And in step 105, determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value.
In some embodiments, the body position skin pressure balance degree of the patient with pressure injury can be determined according to the reconstructed body position skin pressure data set by the following steps:
acquiring the number of the reconstructed body position skin pressure sequences in the reconstructed body position skin pressure data set;
determining a total amount of reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence;
determining a data mean value of each reconstructed body position skin pressure sequence;
acquiring all reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence;
Determining the body position skin pressure balance degree of the patient with pressure injury through the number of the reconstructed body position skin pressure sequences, the total quantity of the reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence, the data average value of each reconstructed body position skin pressure sequence and all the reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence, wherein the body position skin pressure balance degree of the patient with pressure injury can be determined according to the following formula when the patient with pressure injury is concretely realized:
wherein,representing the reconstruction of the body position skin pressure dataset +.>The corresponding body position skin pressure balance degree of the patient suffering from the pressure injury,representing the reconstruction of the body position skin pressure dataset +.>Number of mesogenic body position skin pressure sequences, < >>Representing the reconstruction of the body position skin pressure dataset +.>Middle->Total amount of reconstructed body position skin pressure data points in the individual reconstructed body position skin pressure sequences, +.>Representing the reconstruction of the body position skin pressure dataset +.>Middle->Data mean of individual reconstructed body position skin pressure sequences,/->Indicate->The first part of the skin pressure sequence of the individual reconstructed body position>The body position skin pressure data points are reconstructed.
It should be noted that, in the present application, the body position skin pressure balance degree indicates an average value of pressure difference degrees of different skin surfaces of a patient suffering from pressure injury determined by reconstructing a body position skin pressure data set, and the smaller the body position skin pressure balance degree, the larger the pressure difference degrees of different skin surfaces under the current body position, namely, the more unbalanced the skin pressure distribution, the risk of pressure sore may be caused.
In some embodiments, when the body position skin pressure balance is lower than a preset skin pressure balance threshold, warning information is sent to a nursing staff through a 5G network, and in the application, the warning information includes basic information of a patient with pressure injury, body position information, body position skin pressure balance information and urgency degree, the body position information clearly indicates which body positions are lower than the threshold, so that the nursing staff can take measures on relevant body positions in a targeted manner, the skin pressure balance information provides specific values of the body position skin pressure balance degree, and a comparison result with the preset skin pressure balance threshold can enable the nursing staff to know the severity of a problem, the urgency degree can indicate the urgency of warning according to the situation of the skin pressure balance degree, and if the balance degree is lower and obvious pressure sore risks exist, more urgent nursing intervention may be needed.
It should be noted that, the body position skin pressure balance degree is an index for evaluating the pressure distribution balance degree, if the body position skin pressure balance degree is lower than a preset threshold value, it may mean that some parts bear excessive pressure, so as to increase the risk of pressure sores, and the nursing staff can be helped to know the problem early and take intervention measures by sending warning information through the 5G network, and the risk of pressure injury varies from person to person, so that the preset skin pressure balance threshold value can be adjusted according to individual conditions, and the actual conditions of different pressure injury patients can be better adapted through personalized threshold value setting.
In this application, at first, can realize real-time position skin pressure monitoring through 5G remote monitoring equipment, need not to use wired connection, thereby the flexibility and the convenience of monitoring have been improved, through confirming the skin pressure curve of position, can judge more accurately whether the patient of pressure damage has the risk of developing pressure sore, in time take intervention measure, avoid skin to receive pressure damage, secondly, through confirming data variation, can help getting rid of abnormal value and noise in the skin pressure data, thereby improve reliability and the accuracy of skin pressure data of position, and then avoid damaging the pressure sore risk of patient because of individual abnormal data point misjudgement pressure nature, then, can simplify the skin pressure data analysis process through the dimension elimination, avoid needing to consider the dimensional problem of different body position skin pressure data in the analysis process, make the analysis more efficient and timely, and then, through confirming the measurement of reconstructed body position skin pressure data set, can compress each body position skin pressure sequence into less characteristic, thereby reduce the dimension of body position skin pressure data, make the body position skin balance calculation complexity more low, can carry out the pressure skin pressure data and the pressure skin pressure data of position can be more rapidly carried out, and the warning information is sent to the skin pressure data, in time, the warning information is sent to the warning skin pressure data, the warning is carried out to the patient, the warning skin pressure data is more convenient, the warning is carried out, the skin pressure data is judged in time, the warning is carried out, the skin pressure is measured, the warning is measured, and is measured, the position skin pressure data is measured, and better is convenient, and more accurate.
Additionally, in another aspect of the present application, in some embodiments, the present application provides a 5G-based intelligent anti-pressure sore care system, the system including a body position skin pressure warning unit, referring to fig. 2, which is a schematic diagram of exemplary hardware and/or software of the body position skin pressure warning unit according to some embodiments of the present application, the body position skin pressure warning unit 200 includes: the body position skin pressure curve set determining module 201, the body position skin pressure curve set determining module 202 without difference, the standard body position skin pressure data set determining module 203, the reconstructed body position skin pressure data set determining module 204 and the body position skin pressure warning module 205 are respectively described as follows:
the body position skin pressure curve set determining module 201 is mainly used for monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, so as to obtain a body position skin pressure curve set;
the body position skin pressure curve set determining module 202 without difference is mainly used for determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve for each body position skin pressure curve in the body position skin pressure curve set, screening the body position skin pressure curve according to the data variation degree to obtain the body position skin pressure curve without difference, and further determining the body position skin pressure curve set without difference;
The standard body position skin pressure data set determining module 203 is mainly used for performing dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curves to obtain a body position skin pressure sequence, so as to determine a standard body position skin pressure data set;
the reconstructed body position skin pressure data set determining module 204 is mainly used for determining a reconstructed body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence for all body position skin pressure sequences in the standard body position skin pressure data set, so as to determine a reconstructed body position skin pressure data set;
the body position skin pressure warning module 205, the body position skin pressure warning module 205 is mainly used in this application according to the body position skin pressure data set of reconfiguration confirms the body position skin pressure equilibrium degree of pressure injury patient, works as body position skin pressure equilibrium degree is less than and presets skin pressure equilibrium threshold value, sends warning information to the nursing staff through the 5G network.
The foregoing describes in detail examples of the 5G-based intelligent pressure sore prevention care system and the control method thereof provided in the embodiments of the present application, and it may be understood that, in order to implement the foregoing functions, the corresponding devices include corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In some embodiments, the present application further provides a computer device, where the computer device includes a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to call and run the computer program from the memory, so that the computer device performs the control method of the intelligent pressure sore prevention care system based on 5G.
In some embodiments, reference is made to fig. 3, in which a dashed line indicates that the unit or the module is optional, which is a schematic structural diagram of a computer device for a control method of a 5G-based intelligent anti-pressure sore care system according to an embodiment of the present application. The control method of the intelligent 5G-based pressure sore prevention care system in the above embodiment may be implemented by a computer device shown in fig. 3, where the computer device 300 includes at least one processor 301, a memory 302, and at least one communication unit 305, and the computer device 300 may be a terminal device or a server or a chip.
Processor 301 may be a general purpose processor or a special purpose processor. For example, the processor 301 may be a central processing unit (central processing unit, CPU) which may be used to control the computer device 300, execute software programs, process data of the software programs, and the computer device 300 may further comprise a communication unit 305 for enabling input (receiving) and output (transmitting) of signals.
For example, the computer device 300 may be a chip, the communication unit 305 may be an input and/or output circuit of the chip, or the communication unit 305 may be a communication interface of the chip, which may be an integral part of a terminal device or a network device or other devices.
For another example, the computer device 300 may be a terminal device or a server, the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.
The computer device 300 may include one or more memories 302 having a program 304 stored thereon, the program 304 being executable by the processor 301 to generate instructions 303 such that the processor 301 performs the methods described in the method embodiments above in accordance with the instructions 303. Optionally, data (e.g., a goal audit model) may also be stored in memory 302. Alternatively, the processor 301 may also read data stored in the memory 302, which may be stored at the same memory address as the program 304, or which may be stored at a different memory address than the program 304.
The processor 301 and the memory 302 may be provided separately or may be integrated together, for example, on a System On Chip (SOC) of the terminal device.
It should be appreciated that the steps of the above-described method embodiments may be accomplished by logic circuitry in the form of hardware or instructions in the form of software in the processor 301, and the processor 301 may be a central processing unit, a digital signal processor (digital signalprocessor, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic device, such as discrete gates, transistor logic, or discrete hardware components.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
For example, in some embodiments, the present application further provides a computer readable storage medium having instructions or codes stored therein, which when executed on a computer, cause the computer to implement the control method of the above-mentioned 5G-based intelligent pressure sore prevention care system.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications can be made in this application without departing from the invention
Clear spirit and scope. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (7)
1. The control method of the intelligent pressure sore prevention nursing system based on 5G is characterized by comprising the following steps:
after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, the body position skin pressure data of the patient with pressure damage is monitored through 5G remote monitoring equipment, and a body position skin pressure curve set is obtained;
for each body position skin pressure curve in the body position skin pressure curve set, determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve, screening the body position skin pressure curve according to the data variation degree to obtain a body position skin pressure curve without difference, and further determining a body position skin pressure curve set without difference;
Performing dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and further determining a standard body position skin pressure data set;
for all body position skin pressure sequences in the standard body position skin pressure data set, determining a reconstructed body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence, and further determining a reconstructed body position skin pressure data set;
determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value;
the method for determining the reconstructed body position skin pressure sequence specifically comprises the following steps of:
for each body position skin pressure data point in each body position skin pressure sequence, determining a skin pressure change threshold set of the body position skin pressure data point according to adjacent skin pressure change amounts and interval skin pressure change amounts corresponding to the body position skin pressure data point;
judging whether the body position skin pressure data points are reconstructed body position skin pressure data points according to the skin pressure change threshold value set, and further determining all reconstructed body position skin pressure data points to obtain a reconstructed body position skin pressure sequence;
Wherein the adjacent skin pressure variation comprises a first adjacent skin pressure variation parameter and a second adjacent skin pressure variation parameter, the interval skin pressure variation comprises a first interval skin pressure variation parameter and a second interval skin pressure variation parameter, and the interval skin pressure variation comprises a body position skin pressure data pointSpacer skin pressure data points +.>Determining a first interval skin pressure variation parameter +.>Skin pressure data point through body position +.>Adjacent posture skin pressure data points +.>And->Determining a second interval skin pressure variation parameter；
The method for determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set specifically comprises the following steps:
acquiring the number of reconstructed body position skin pressure sequences in the reconstructed body position skin pressure data setThe method comprises the steps of carrying out a first treatment on the surface of the Determining a total amount of reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence; determining a data mean value of each reconstructed body position skin pressure sequence; acquiring all reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence;
by the number of the reconstructed body position skin pressure sequencesThe total amount of the reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence, the data average value of each reconstructed body position skin pressure sequence and all the reconstructed body position skin pressure data points in each reconstructed body position skin pressure sequence are used for determining the body position skin pressure balance degree of the patient with pressure injury >Wherein, the body position skin pressure balance degree of the patient with the pressure injury is +.>According to the following formula:
wherein,representing the reconstruction of the body position skin pressure dataset +.>Middle->Total amount of reconstructed body position skin pressure data points in the individual reconstructed body position skin pressure sequences, +.>Representing the reconstruction of the body position skin pressure dataset +.>Middle->The data mean of the body position skin pressure sequence is reconstructed,indicate->The first part of the skin pressure sequence of the individual reconstructed body position>Individual reconstructed body positionSkin pressure data points;
the determining the data variability of each body position skin pressure data point in the body position skin pressure curve specifically comprises the following steps:
acquiring all body position skin pressure data points in a body position skin pressure curve;
determining the number of body position skin pressure data points in the body position skin pressure curve;
determining a mathematical expectation of the body position skin pressure curve;
determining the data variability of each body position skin pressure data point in the body position skin pressure curve according to preset body position skin pressure data points without difference, all body position skin pressure data points in the body position skin pressure curve, the number of body position skin pressure data points in the body position skin pressure curve and the mathematical expectation of the body position skin pressure curve, wherein the data variability of each body position skin pressure data point is determined according to the following formula:
wherein,indicate- >The>Data variability of individual skin pressure data points, +.>Representing a preset body position skin pressure data point, < ->Indicate->The>The individual locates the skin pressure data points,indicate->Number of body position skin pressure data points in the strip body position skin pressure curve, < >>Indicate->Mathematical expectation of the strip body position skin pressure curve.
2. The method of claim 1, wherein monitoring the body position skin pressure data of the patient with the pressure injury by the 5G remote monitoring device, the body position skin pressure curve set specifically comprises:
monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment, and acquiring the body position skin pressure data according to the detection time sequence;
and drawing a corresponding body position skin pressure curve according to the body position skin pressure data of each acquisition time point to obtain body position skin pressure curves corresponding to different acquisition time points, and further determining a body position skin pressure curve set.
3. The method of claim 1, wherein screening the body position skin pressure curve according to the degree of variation of the data to obtain a body position skin pressure curve without difference comprises:
taking the body position skin pressure data points with the data variability degree larger than a preset variability threshold value in the body position skin pressure curve as abnormal data points;
And deleting the abnormal data points from the body position skin pressure curve to obtain a body position skin pressure curve without difference.
4. The method of claim 1, wherein performing dimension elimination for each non-differential body position skin pressure curve in the set of non-differential body position skin pressure curves specifically comprises:
for each non-differential body position skin pressure curve, each non-differential body position skin pressure data point in the non-differential body position skin pressure curve is divided by the maximum value in the non-differential body position skin pressure curve.
5. The intelligent pressure sore prevention nursing system based on 5G is controlled by the method of claim 1, and is characterized in that the intelligent pressure sore prevention nursing system based on 5G comprises a body position skin pressure warning unit, and the body position skin pressure warning unit comprises:
the body position skin pressure curve set determining module is used for monitoring body position skin pressure data of a patient with pressure injury through 5G remote monitoring equipment after the intelligent pressure sore prevention nursing system starts pressure sore prevention nursing, so as to obtain a body position skin pressure curve set;
the body position skin pressure curve set determining module is used for determining the data variation degree of each body position skin pressure data point in the body position skin pressure curve for each body position skin pressure curve in the body position skin pressure curve set, screening the body position skin pressure curve according to the data variation degree to obtain a body position skin pressure curve without difference, and further determining a body position skin pressure curve set without difference;
The standard body position skin pressure data set determining module is used for carrying out dimension elimination on each non-difference body position skin pressure curve in the non-difference body position skin pressure curve set to obtain a body position skin pressure sequence, and further determining a standard body position skin pressure data set;
the reconstruction body position skin pressure data set determining module is used for determining a reconstruction body position skin pressure sequence according to adjacent skin pressure variation and interval skin pressure variation corresponding to each body position skin pressure data point in the body position skin pressure sequence for all body position skin pressure sequences in the standard body position skin pressure data set, so as to determine a reconstruction body position skin pressure data set;
and the body position skin pressure warning module is used for determining the body position skin pressure balance degree of the patient with the pressure injury according to the reconstructed body position skin pressure data set, and sending warning information to nursing staff through a 5G network when the body position skin pressure balance degree is lower than a preset skin pressure balance threshold value.
6. A computer device, characterized in that the computer device comprises a memory for storing a computer program and a processor for calling and running the computer program from the memory, so that the computer device performs the control method of the 5G-based intelligent anti-pressure sore care system according to any one of claims 1 to 4.
7. A computer readable storage medium having instructions or code stored therein, which when run on a computer, cause the computer to implement the control method of a 5G-based intelligent anti-pressure sore care system as claimed in any one of claims 1 to 4 when executed.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200977161Y (en) * | 2006-12-08 | 2007-11-21 | 中国人民解放军南京军区南京总医院 | Skin pressure sensing alarming analyzer |
| CN111388236A (en) * | 2020-03-27 | 2020-07-10 | 中国人民解放军陆军军医大学第一附属医院 | Pressure sore early warning device |
| CN114052711A (en) * | 2021-12-14 | 2022-02-18 | 王磊 | Warning, preventing and treating device for skin subcutaneous tissue injury |
| CN216021796U (en) * | 2021-08-03 | 2022-03-15 | 绍兴康特宝医疗科技有限责任公司 | Prevent pressing sore intelligence mattress |
| CN114795118A (en) * | 2022-04-20 | 2022-07-29 | 浙江大学 | Intelligent feedback system for preventing pressure damage |
| CN116077022A (en) * | 2023-01-29 | 2023-05-09 | 西安名悦医疗科技有限公司 | Pressure sore early warning method and system for severe patients |
| CN116759045A (en) * | 2023-07-10 | 2023-09-15 | 深圳市人民医院 | Pressure sore prevention monitoring management system for bedridden patients based on big data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9135804B2 (en) * | 2012-03-23 | 2015-09-15 | Persimmon Scientific, Inc. | Systems and methods for assessing risks of pressure ulcers |
| TWI498103B (en) * | 2012-11-13 | 2015-09-01 | Ind Tech Res Inst | Management system and method for damage risk of tissue pressure |
-
2023
- 2023-10-20 CN CN202311359466.6A patent/CN117084640B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200977161Y (en) * | 2006-12-08 | 2007-11-21 | 中国人民解放军南京军区南京总医院 | Skin pressure sensing alarming analyzer |
| CN111388236A (en) * | 2020-03-27 | 2020-07-10 | 中国人民解放军陆军军医大学第一附属医院 | Pressure sore early warning device |
| CN216021796U (en) * | 2021-08-03 | 2022-03-15 | 绍兴康特宝医疗科技有限责任公司 | Prevent pressing sore intelligence mattress |
| CN114052711A (en) * | 2021-12-14 | 2022-02-18 | 王磊 | Warning, preventing and treating device for skin subcutaneous tissue injury |
| CN114795118A (en) * | 2022-04-20 | 2022-07-29 | 浙江大学 | Intelligent feedback system for preventing pressure damage |
| CN116077022A (en) * | 2023-01-29 | 2023-05-09 | 西安名悦医疗科技有限公司 | Pressure sore early warning method and system for severe patients |
| CN116759045A (en) * | 2023-07-10 | 2023-09-15 | 深圳市人民医院 | Pressure sore prevention monitoring management system for bedridden patients based on big data |
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