CN115662625A

CN115662625A - APP-based multi-parameter vital sign monitoring management method and monitor

Info

Publication number: CN115662625A
Application number: CN202211139956.0A
Authority: CN
Inventors: 于秀健; 迟晓苑
Original assignee: National Kang Yuan Technology Co ltd
Current assignee: National Kang Yuan Technology Co ltd
Priority date: 2022-09-19
Filing date: 2022-09-19
Publication date: 2023-01-31

Abstract

The invention provides a multi-parameter vital sign monitoring and managing method and a monitor based on APP, which comprises the following steps: acquiring all monitoring data of a user, wherein the monitoring data comprises monitoring time information and a data parameter table, and vital sign parameters corresponding to each part are arranged in the data parameter table, and the parts are tissues or organs of a human body; constructing a first structure tree according to the name of the user, the monitoring time information and the vital sign parameters; and constructing a second structure tree according to the target part selected by the user in the first structure tree, and counting the analysis information of all second grandchild nodes in the second structure tree to generate the management information of the corresponding part to be displayed through the APP. The bioelectrical impedance monitoring system can monitor bioelectrical impedance of a plurality of parts of a human body through the monitor, quickly master the health state of each part of the human body, and has the advantages of no wound, no radiation, no invasion, high detection efficiency, accuracy and the like.

Description

APP-based multi-parameter vital sign monitoring management method and monitor

Technical Field

The invention relates to the technical field of data processing, in particular to a multi-parameter vital sign monitoring management method and a multi-parameter vital sign monitoring instrument based on APP.

Background

Bioelectrical impedance Measurement (electrical impedance Measurement), or impedance technology for short, is a detection technology for extracting biomedical information related to human physiology and pathology by using the electrical characteristics and change rules of biological tissues and organs. It usually uses an electrode system placed on the body surface to send a tiny alternating current measuring current or voltage to the detected object, and then detects the corresponding electrical impedance and its change, and then according to different application purposes, obtains the related physiological and pathological information. It has the advantages of no wound, no harm, low cost, simple operation, rich functional information, etc. and is easy to be accepted by doctors and patients.

In the existing monitoring management of APP for bioelectrical impedance measurement, display modes for each detection are displayed according to forms, the same index cannot be displayed according to interaction with a user and a timeline mode, and abnormal indexes cannot be locked and analyzed in combination with the change rule of the abnormal indexes.

Disclosure of Invention

The embodiment of the invention provides a multi-parameter vital sign monitoring management method and a monitoring instrument based on APP, which can display monitoring data in a structure tree form, display the same index in a time line mode according to the interaction with a user, lock abnormal indexes and analyze the change rule of the abnormal indexes.

In a first aspect of the embodiments of the present invention, a method for monitoring and managing multiparameter vital signs based on APP is provided, which includes:

acquiring all monitoring data of a user, wherein the monitoring data comprises monitoring time information and a data parameter table, and vital sign parameters corresponding to each part are arranged in the data parameter table;

constructing a first root node according to the name of the user, constructing first child nodes according to monitoring time information corresponding to each data parameter table, respectively connecting all the first child nodes with the corresponding first root nodes, constructing first grandchild nodes according to the vital sign parameters of each part in the data parameter table, and respectively connecting all the first grandchild nodes with the first child nodes to obtain a first structural tree;

comparing the vital characteristic parameter of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node according to a first form or a second form according to the parameter comparison result;

if the user selects any first grandchild node displayed in the first form or displayed in the second form, taking a position corresponding to the selected first grandchild node as a second root node, sequentially traversing the first grandchild nodes corresponding to the corresponding positions of each first child node, taking the corresponding first grandchild nodes as second child nodes, and connecting the second child nodes with the second root node to obtain a second structure tree;

and obtaining corresponding second grandchild nodes according to the analysis information of the vital sign parameters corresponding to each second child node, connecting the second grandchild nodes with the corresponding second child nodes, counting the analysis information of all the second grandchild nodes, and generating management information of corresponding parts to be displayed through the APP.

Optionally, in a possible implementation manner of the first aspect, the constructing a first root node according to the name of the user, constructing first child nodes according to monitoring time information corresponding to each data parameter table, respectively connecting all the first child nodes to corresponding first root nodes, constructing first grandchild nodes according to vital sign parameters of each location in the data parameter table, and respectively connecting all the first grandchild nodes to the first child nodes to obtain a first structural tree, includes:

acquiring the name of a selected or logged-in user, constructing a first root node of a first structure tree according to the name, and determining all data parameter tables corresponding to the user;

acquiring monitoring time information corresponding to each data parameter table, and sequencing all the data parameter tables from near to far according to the monitoring time information to obtain a parameter table sequence;

constructing first sub-nodes with corresponding quantity according to the quantity of the data parameter table, performing ascending sequencing numbering on all the first sub-nodes to obtain sequencing number sequences, and filling monitoring time information corresponding to each parameter table sequence to the corresponding first sub-nodes in sequence according to the parameter table sequences and the sequencing number sequences;

and extracting the vital sign parameters corresponding to all parts in the data parameter table corresponding to the first child node, and generating a corresponding first grandchild node according to the corresponding vital sign parameters.

Optionally, in a possible implementation manner of the first aspect, the extracting vital sign parameters corresponding to all parts in the data parameter table corresponding to the first child node, and generating a corresponding first grandchild node according to the corresponding vital sign parameters includes:

acquiring the types of parameter tables of the data parameter tables, wherein each type of parameter table has a plurality of preset grandchild nodes with preset number and preset sequence corresponding to the type of parameter table;

generating a plurality of preset grandchild nodes in a preset number and a preset sequence according to the type of the parameter table, wherein the preset grandchild node in each sequence has a position corresponding to the preset grandchild node;

and extracting the vital sign parameters of each part in the data parameter table, and filling the corresponding vital sign parameters into the preset grandchild nodes in the corresponding sequence to obtain the corresponding first grandchild node.

Optionally, in a possible implementation manner of the first aspect, the comparing the vital sign parameter of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node according to the parameter comparison result in a first form or a second form includes:

acquiring a preset parameter interval of a position corresponding to each first grandchild node, and comparing the vital feature parameter of each first grandchild node with the corresponding preset parameter interval to obtain a parameter comparison result, wherein the parameter comparison result is positioned in the parameter interval or not positioned in the parameter interval;

if the parameter comparison result is located in the parameter interval, displaying the corresponding first grandchild node according to a first form;

and if the parameter comparison result is that the first grandchild node is not located in the parameter interval, displaying the corresponding first grandchild node according to a second form.

Optionally, in a possible implementation manner of the first aspect, if it is determined that the user selects a first grandchild node displayed in any one of the first form and the second form, taking a position corresponding to the selected first grandchild node as a second root node, sequentially traversing the first grandchild nodes corresponding to the corresponding positions of each first child node, taking the corresponding first grandchild nodes as second child nodes, and connecting the second child nodes with the second root node to obtain the second structure tree, where the method includes:

taking a part corresponding to the first grandchild node displayed in the first form or the second form selected by the user as a target part;

taking the target part as a corresponding second root node, sequentially traversing first grandchild nodes corresponding to the target part in all the first child nodes, copying the first grandchild nodes corresponding to the target part to obtain second child nodes, and adding monitoring time information corresponding to the corresponding first child nodes to the second child nodes;

and connecting the obtained second child nodes with corresponding second root nodes respectively.

Optionally, in a possible implementation manner of the first aspect, the obtaining, according to analysis information of a vital sign parameter corresponding to each second child node, a corresponding second grandchild node, connecting the second grandchild node with the corresponding second child node, and generating, by counting analysis information of all second grandchild nodes, management information of corresponding parts, and displaying the management information through an APP includes:

establishing a second grandchild node corresponding to each second child node;

if the vital sign parameters of the second child nodes are judged to be located in the corresponding preset parameter intervals, generating normal analysis information corresponding to the second child nodes, and filling the normal analysis information into the corresponding second grandchild nodes;

if the vital sign parameters of the second child node are judged not to be located in the corresponding preset parameter interval, generating abnormal analysis information corresponding to the second child node, obtaining abnormal proportion values according to the vital sign parameters and the preset parameter interval, and filling the abnormal analysis information and the abnormal proportion values into the corresponding second grandchild node;

and generating management information of corresponding parts according to the analysis information of all the second grandchild nodes.

Optionally, in a possible implementation manner of the first aspect, if it is determined that the vital sign parameter of the second child node is not located in the corresponding preset parameter interval, generating abnormal analysis information corresponding to the second child node, obtaining an abnormal proportion value according to the vital sign parameter and the preset parameter interval, and filling the abnormal analysis information and the abnormal proportion value into the corresponding second child node includes:

if the vital sign parameter is judged to be smaller than a preset parameter interval, determining a minimum interval parameter of the preset parameter interval, and calculating according to the vital sign parameter and the minimum interval parameter to obtain a negative abnormal proportion value;

if the vital sign parameter is judged to be larger than a preset parameter interval, determining a maximum interval parameter of the preset parameter interval, and calculating according to the vital sign parameter and the maximum interval parameter to obtain a forward abnormal proportion value;

filling the abnormal proportion value or the normal proportion value into the corresponding second grandchild node, calculating a negative abnormal proportion value and a positive abnormal proportion value through the following formulas,

wherein, b ^- Is a negative abnormal ratio value, r _t To a life characteristic parameter, r _min As a minimum inter-cell parameter, b ⁺ Is an abnormal proportional value of the positive direction, r _max Is the maximum interval parameter.

Optionally, in a possible implementation manner of the first aspect, the generating, according to the analysis information of all second grandchild nodes, management information of corresponding parts includes:

if the analysis information of all the second grandchild nodes is judged to be normal analysis information, first preset management information corresponding to the second root node is generated;

if the analysis information of the second grandchild node corresponding to the last monitoring moment information is abnormal analysis information, extracting abnormal proportion values of all the second grandchild nodes, and determining the change trend of all the abnormal proportion values according to the time sequence relation of the abnormal proportion values;

if the change trend is that the abnormal proportion value gradually approaches to 0, outputting first suggestion management information;

and if the change trend is that the abnormal proportion value is gradually far away from 0, outputting second suggested management information.

Optionally, in a possible implementation manner of the first aspect, if analysis information of a second grandchild node corresponding to information of a last monitoring time is abnormal analysis information, extracting abnormal ratio values of all second grandchild nodes, and determining a variation trend of all abnormal ratio values according to a time-series relationship of the abnormal ratio values, includes:

acquiring abnormal proportion values corresponding to any two adjacent monitoring time information respectively, and if the abnormal proportion values are negative numbers, performing absolute value processing on all the monitoring time information which are negative numbers to obtain abnormal proportion values after absolute value processing;

if the abnormal proportion value at the next moment is smaller than the abnormal proportion value at the previous moment in all the adjacent abnormal proportion values, judging that the change trend is that the abnormal proportion value gradually approaches to 0;

if the abnormal proportion value at the next moment is larger than or equal to the abnormal proportion value at the previous moment in all the adjacent abnormal proportion values, the change trend is judged to be that the abnormal proportion value is gradually far away from 0.

Optionally, in a possible implementation manner of the first aspect, the method further includes:

if the abnormal proportion values at the next moment are judged to be smaller than the abnormal proportion value at the previous moment, and the abnormal proportion value at the next moment is larger than or equal to the abnormal proportion value at the previous moment;

then, the difference between the abnormal ratio value at the next moment and the abnormal ratio value at the previous moment is counted to obtain a plurality of difference information, all the difference information is summed to obtain the variation amplitude value, the variation amplitude value is calculated by the following formula,

where f is the variation amplitude value, t _g+1 Is the abnormal proportion value t corresponding to the g +1 th monitoring time information _g Is the abnormal ratio value corresponding to the g-th monitoring time information, q is the upper limit value of the monitoring time information, k _g The weight value corresponding to the g monitoring moment information;

if the change amplitude value f is smaller than 0, outputting third suggestion management information;

and if the change amplitude value f is larger than or equal to 0, outputting fourth suggested management information.

In a second aspect of the embodiments of the present invention, there is provided a monitor, including:

the system comprises an acquisition module, a data processing module and a display module, wherein the acquisition module is used for acquiring all monitoring data of a user, the monitoring data comprises monitoring time information and a data parameter table, and vital sign parameters corresponding to each part are arranged in the data parameter table;

the construction module is used for constructing a first root node according to the name of the user, constructing first child nodes according to monitoring time information corresponding to each data parameter table, respectively connecting all the first child nodes with the corresponding first root nodes, constructing first grandchild nodes according to the vital sign parameters of each part in the data parameter table, and respectively connecting all the first grandchild nodes with the first child nodes to obtain a first structural tree;

the comparison module is used for comparing the vital sign parameters of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node in a first form or a second form according to the parameter comparison result;

the connection module is used for taking a position corresponding to the selected first grandchild node as a second root node, sequentially traversing the first grandchild nodes corresponding to the corresponding positions of each first child node, taking the corresponding first grandchild nodes as second child nodes, and connecting the second child nodes with the second root nodes to obtain a second structure tree if the judgment that the user selects any first grandchild node displayed in the first form or displayed in the second form is judged;

and the generation module is used for obtaining corresponding second grandchild nodes according to the analysis information of the vital sign parameters corresponding to each second child node, connecting the second grandchild nodes with the corresponding second child nodes, and counting the analysis information of all the second grandchild nodes to generate management information of corresponding parts to be displayed through the APP.

In a third aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.

The APP-based multi-parameter vital sign monitoring management method and the APP-based multi-parameter vital sign monitoring management monitor can perform unified statistics on all data parameter tables of each user at different monitoring time information, construct a corresponding first structural tree, and display all vital sign parameters of the user at different times and different positions through the first structural tree, so that the user can determine corresponding monitoring time according to different child nodes and determine corresponding positions according to different grandchild nodes, and the APP-based multi-parameter vital sign monitoring management method and the APP-based multi-parameter vital sign monitoring management monitor are easy to display and manage vital sign parameters of the user in a time sequence. According to the method, the interaction state is established between the first structure tree and the user, and after the user selects any one first grandchild node in the first structure tree, the method constructs the second structure tree based on the first grandchild node, and the structure of the second structure tree is greatly reduced compared with that of the first structure tree at the moment, and only all the vital characteristic parameters of a target part are obtained, so that the subsequent analysis and viewing are easy. The method and the device can analyze all the vital sign parameters in the second structure tree to obtain corresponding analysis information, generate management information for the health of the user by combining the analysis information, and display the management information based on the APP, and have the advantage of intelligent health management.

According to the technical scheme provided by the invention, when the first structure tree is displayed, different first grandchild nodes are displayed in different display modes according to different vital characteristic parameters, so that a user can select the first grandchild nodes according to the actual conditions of each part. And after the user selects one first grandchild node, the target part corresponding to the selected first grandchild node can be automatically positioned, all first grandchild nodes corresponding to the target part are extracted, and the corresponding second structure tree is generated.

When repeated abnormity and continuous abnormity occur at a certain part of a user, the method can be combined with the vital sign parameters at adjacent moments to calculate, and carry out intelligent analysis according to the abnormal amplitude of the target part, so as to judge whether the abnormal target part is continuously good or continuously bad, and further give different suggested management information.

Drawings

Fig. 1 is a schematic view of a first application scenario of the technical solution provided by the present invention;

fig. 2 is a schematic view of a second application scenario of the technical solution provided by the present invention;

fig. 3 is a schematic diagram of a third application scenario of the technical solution provided by the present invention;

FIG. 4 is a flowchart of a multi-parameter vital signs monitoring and management method based on APP;

FIG. 5 is a schematic structural diagram of a first structural tree;

FIG. 6 is a schematic diagram of a second structure tree;

fig. 7 is a schematic block diagram of a monitor.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.

It should be understood that, in the various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of three of A, B, C is comprised, "comprises A, B and/or C" means that any 1 or any 2 or 3 of the three of A, B, C is comprised.

It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.

As used herein, "if" can be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on context.

The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 1 is a schematic view of a first application scenario of the technical solution provided by the present invention, where the application scenario includes a user handheld end and a monitor, the monitor is used to execute a multi-parameter vital sign monitoring management method based on an APP to obtain corresponding management information, the handheld end presets the corresponding APP, the user can receive the management information obtained according to the vital sign parameters through the APP, and a computing terminal that obtains the management information at this time is the monitor.

Fig. 2 is a schematic diagram of a second application scenario of the technical scheme provided by the present invention, where the application scenario includes a user handheld terminal, a cloud server, and a monitor, the monitor is configured to execute a multi-parameter vital sign monitoring management method based on an APP to obtain corresponding monitoring data or management information, the cloud server is configured to store, forward, or calculate the monitoring data or management information sent by the monitor, the handheld terminal presets a corresponding APP, the user can receive the management information obtained by the cloud server according to the vital sign parameters through the APP, and a computing terminal that obtains the management information at this time is the monitor or the cloud server.

Fig. 3 is a schematic diagram of a third application scenario of the technical solution provided by the present invention, in the application scenario, a corresponding display touch screen is configured for the monitor, and a corresponding APP is set, so that interaction between the user and the display touch screen is realized through the APP, and the monitor can display through the display touch screen when generating corresponding management information or other information.

The invention provides a multi-parameter vital sign monitoring and management method based on APP, as shown in FIG. 4, comprising:

the method comprises the following steps of S1, obtaining all monitoring data of a user, wherein the monitoring data comprise monitoring time information and a data parameter table, and the data parameter table is internally provided with vital sign parameters corresponding to all parts. According to the technical scheme provided by the invention, the monitoring data of the user can be obtained firstly, and the monitoring data can be obtained by combining the principle of bioelectrical impedance when the vital characteristic parameters are obtained.

In the process of obtaining the vital sign parameters, reference may be made to the scheme for acquiring the vital sign parameters provided in the published patent CN105476632a, that is, six electrodes are sequentially placed at the left forehead position, the right forehead position, the left hand position, the right hand position, the left foot position and the right foot position of the human body, so as to acquire the actually measured electrical impedance values of the channels of 30 human body regions.

Then, the calculated electrical impedance values of the tissues and organs in the body region channel are obtained according to the measured electrical impedance values of 30 body region channels, the vital sign parameter in the invention can be the calculated electrical impedance values of the tissues and organs, and the tissues and organs are the parts in the application, such as the stomach, the heart and the like. In an actual application scene, tissues and organs (parts) in a human body region channel have corresponding normal reference electrical impedance value intervals (preset parameter intervals), whether the corresponding parts are abnormal or not can be determined according to the relation between the calculated electrical impedance value and the normal reference electrical impedance value intervals, and the health condition of the corresponding parts is determined.

The technical scheme provided by the invention does not limit the number of the vital sign parameters. The monitoring time information can be understood as the time when the user carries out electrical impedance monitoring, and for the same user, the electrical impedance monitoring may be carried out at intervals, so that vital sign parameters at different times are obtained.

S2, constructing a first root node according to the name of the user, constructing first child nodes according to monitoring time information corresponding to each data parameter table, respectively connecting all the first child nodes with the corresponding first root nodes, constructing first grandchild nodes according to the vital sign parameters of each part in the data parameter table, and respectively connecting all the first grandchild nodes with the first child nodes to obtain a first structural tree. The invention firstly constructs a first root node according to the name of a user, such as Zhang three, lile four and the like. That is, the present invention constructs different first structure trees according to different user names, as shown in fig. 5, and then the present invention constructs first child nodes according to different monitoring time information, such as 5/3/2021/4/3/etc. At this time, the monitoring frequency, etc. of the corresponding user can be reflected by all the first child nodes. Then, the corresponding first grandchild node is constructed according to the data parameter tables at different monitoring moments, so that the vital sign parameters of each part corresponding to each monitoring moment can be counted. According to the method and the device, the first structure tree is obtained based on the connection of the first grandchild node, the first child node and the first root node, and the vital sign parameters of all histories of the user can be displayed according to corresponding time in a first structure tree mode.

In a possible implementation manner, the technical solution provided by the present invention, step S2 includes:

the name of the selected or logged-in user is obtained, a first root node of a first structure tree is constructed according to the name, and all data parameter tables corresponding to the user are determined. In the actual using process, a plurality of users may exist, so the corresponding first root node can be determined according to the names of the users selected or logged in by the corresponding terminals, the first structure tree corresponding to each user is generated according to the latest monitoring data when the first structure tree corresponding to each user is generated, and the accuracy of the first structure tree is guaranteed.

And acquiring monitoring time information corresponding to each data parameter table, and sequencing all the data parameter tables from near to far according to the monitoring time information to obtain a parameter table sequence. The invention can sort according to the monitoring time information of each data parameter table to obtain the parameter table sequence, and the mode ensures that all the parameter table sequences in the parameter table sequence have time sequence, thereby facilitating the subsequent data calling, processing and data analysis.

And constructing a corresponding number of first sub-nodes according to the number of the data parameter table, performing ascending sequencing numbering on all the first sub-nodes to obtain sequencing number sequences, and filling monitoring time information corresponding to each parameter table sequence in the corresponding first sub-nodes in sequence according to the parameter table sequences and the sequencing number sequences. The invention sets a corresponding first sub-node for each data parameter table, sequences the corresponding first sub-nodes, and then correspondingly sets the data parameter table and the first sub-nodes according to the parameter table sequence and the sequencing number sequence, so that the sequencing number of the first sub-node corresponding to the data parameter table close to the current moment is smaller.

And extracting the vital sign parameters corresponding to all parts in the data parameter table corresponding to the first child node, and generating a corresponding first grandchild node according to the corresponding vital sign parameters. The invention generates the corresponding first grandchild node according to the data parameter table corresponding to each first child node, and in this way, the vital sign parameter corresponding to each part in the data parameter table has the corresponding first grandchild node.

It can be understood that the first child node may dynamically change according to the monitoring time and the monitoring times of each user. Therefore, the invention needs to determine and extract all data parameter tables of the corresponding user when generating the corresponding first structure tree each time, thereby enabling all data in the generated first structure tree to be the latest for the user.

In a possible implementation manner, the extracting vital sign parameters corresponding to all parts in a data parameter table corresponding to a first child node, and generating a corresponding first grandchild node according to the corresponding vital sign parameters includes:

and acquiring the parameter table types of the data parameter table, wherein each parameter table type has a plurality of preset grandchild nodes with preset quantity and preset sequence which are preset correspondingly. The method firstly determines the type of the parameter table of the data parameter table, and under different monitoring scenes, the type of the corresponding parameter may have certain difference, so the method determines a plurality of preset grandchild nodes with corresponding preset quantity and preset sequence according to the type of the parameter table. For example, the parts corresponding to the first parameter table type are heart, spleen and stomach, and the parts corresponding to the second parameter table type are heart and stomach, at this time, the preset number and the preset sequence of the corresponding preset grandchild nodes may be changed correspondingly.

And generating a plurality of preset grandchild nodes in preset quantity and preset sequence according to the type of the parameter table, wherein the preset grandchild node in each sequence has a position corresponding to the preset grandchild node. Through the method, the number and the sequence of the first grandchild nodes required to be generated can be rapidly determined, the generation efficiency of the first structure tree is improved, and the generation of the first grandchild nodes can be templated.

And extracting the vital sign parameters of each part in the data parameter table, and filling the corresponding vital sign parameters into the preset grandchild nodes in the corresponding sequence to obtain the corresponding first grandchild node. The invention extracts the vital sign parameters of each part and fills the parameters into the corresponding preset grandchild nodes, and completes the parameter filling of all the preset grandchild nodes.

And S3, comparing the vital characteristic parameters of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node in a first form or a second form according to the parameter comparison result. It can be understood that if the vital sign parameter is located in the preset parameter interval, the corresponding part is proved to be normal, and if the vital sign parameter is not located in the preset parameter interval, the corresponding part is proved to be abnormal, at this time, the abnormal or normal reminding and displaying can be performed on the corresponding first grandchild node according to the first form or the second form, so that a user can easily and quickly check and know the part which is possibly not qualified and is not very healthy, the first form can be that the first grandchild node is displayed in green, and the second form can be that the first grandchild node is displayed in red.

In a possible implementation manner, the technical solution provided by the present invention, in step S3, includes:

and acquiring a preset parameter interval of the corresponding part of each first grandchild node, and comparing the vital characteristic parameter of each first grandchild node with the corresponding preset parameter interval to obtain a parameter comparison result, wherein the parameter comparison result is positioned in the parameter interval or not. Different parts may correspond to different preset parameter intervals, and the vital sign parameters of each part are compared with the corresponding preset parameter intervals to obtain parameter comparison results.

And if the parameter comparison result is located in the parameter interval, displaying the corresponding first grandchild node according to a first form. The corresponding site is normal at this time.

And if the parameter comparison result is that the first grandchild node is not located in the parameter interval, displaying the corresponding first grandchild node according to a second form. At this time, the corresponding portion is abnormal.

And S4, if the user selects any one first grandchild node displayed in the first form or displayed in the second form, taking the position corresponding to the selected first grandchild node as a second root node, sequentially traversing the first grandchild nodes corresponding to the corresponding positions of each first child node, taking the corresponding first grandchild nodes as second child nodes, and connecting the second child nodes with the second root nodes to obtain a second structure tree. The invention enables the user to know the position of possible problems of the user when the first grandchild node is displayed according to the first form or the second form, and on the other hand, the user can quickly select the first grandchild node. When the user selects any one of the first grandchild nodes displayed in the first form or the second form, the requirement for more detailed analysis and management on the corresponding position is proved, at the moment, the invention takes the position corresponding to the selected first grandchild node as a second root node, counts the first grandchild nodes corresponding to other first child nodes and the corresponding positions, takes the corresponding first grandchild node as a second child node, and connects the second child node with the second root node to obtain a second structure tree.

In a possible implementation manner of the technical solution provided by the present invention, step S4 includes:

and taking the part corresponding to the first grandchild node displayed in the first form or the second form selected by the user as a target part. According to the method and the device, the position corresponding to the selected first grandchild node is used as the target position according to the interaction of the user, and at the moment, the user may select the first grandchild node displayed in the first form or the second form.

And taking the target part as a corresponding second root node, sequentially traversing first grandchild nodes corresponding to the target part in all the first child nodes, copying the first grandchild nodes corresponding to the target part to obtain second child nodes, and adding monitoring time information corresponding to the corresponding first child nodes to the second child nodes. It can be understood that the target portion is taken as a root node in the present invention, that is, all child nodes in the corresponding second structure tree are associated with the target portion, and each child node is different from each other in the monitoring time. The method and the device traverse the first grandchild node corresponding to the target position in the first child node, so that the user can understand that the position corresponding to the first grandchild node is selected as the target position after selecting one first grandchild node, and at the moment, the method and the device copy all first grandchild nodes corresponding to the target position in the first structure tree to obtain the second child node, and add monitoring time information corresponding to the corresponding first child node to the corresponding second child node. At this time, each second child node not only has the vital sign parameters of the corresponding first grandchild node in the first structure tree, but also has the monitoring time information generated by the corresponding first grandchild node.

And connecting the obtained second child nodes with corresponding second root nodes respectively. After all the second child nodes are obtained, all the second child nodes are respectively connected with corresponding second root nodes to form a root node part and a child node part of the second structure tree. By the method, all the vital sign parameters corresponding to the target part can be counted and displayed, and subsequent analysis and processing are facilitated.

And S5, obtaining corresponding second grandchild nodes according to the analysis information of the vital sign parameters corresponding to each second child node, connecting the second grandchild nodes with the corresponding second child nodes, counting the analysis information of all the second grandchild nodes, and generating management information of corresponding parts to be displayed through APP. According to the method, a second structure tree can be constructed by obtaining corresponding second grandchild nodes according to the analysis information of each vital characteristic parameter and connecting each second grandchild node with a corresponding second child node, as shown in fig. 6, the second structure tree is a display of a user on a structure tree of a certain position, each second child node corresponds to the vital characteristic parameters of corresponding positions of different monitoring time information, and the second grandchild nodes are analysis information of corresponding second child nodes. The method and the device can generate the management information of the corresponding part from the analysis information of the second grandchild node through APP display, so that a user can check the corresponding analysis information at all different times and obtain the corresponding management information according to the different analysis information, the management information can be suggestion information, and different management information can be preset at different parts. For example, the lung is not satisfactory, and less smoking, more lung-moistening and lung-clearing foods and the like are recommended.

In a possible implementation manner, the technical solution provided by the present invention, in step S5, includes:

and establishing a second grandchild node corresponding to each second child node. When the second grandchild nodes are established, the corresponding second grandchild nodes are established for each second child node.

In practical scenarios, the health status of different parts of a user may change at different times, for example, the lung has a certain sub-health status during the previous monitoring, and the lung has recovered to be normal through a period of maintenance, and then becomes normal during the current monitoring. Similarly, for example, if the lungs were normal during the previous monitoring, the lungs may become abnormal during the current monitoring because of lack of care or excessive fatigue during work and life. Also, both the current monitoring and the previous monitoring may be normal, and both the current monitoring and the previous monitoring may be abnormal.

And if the vital sign parameters of the second child nodes are judged to be located in the corresponding preset parameter intervals, generating normal analysis information corresponding to the second child nodes, and filling the normal analysis information into the corresponding second grandchild nodes. At this time, both the current monitoring and the previous monitoring may be in a normal state, that is, all the second child nodes respectively correspond to the normal analysis information.

And if the vital sign parameters of the second child node are judged not to be located in the corresponding preset parameter interval, generating abnormal analysis information corresponding to the second child node, obtaining an abnormal proportion value according to the vital sign parameters and the preset parameter interval, and filling the abnormal analysis information and the abnormal proportion value into the corresponding second grandchild node. At this time, the current monitoring and the previous monitoring may be in an abnormal state, that is, all the second child nodes respectively correspond to the abnormal analysis information. In an actual application scenario, the anomaly also has a certain amplitude, and if the distance between the vital sign parameter and the preset parameter interval is longer, the corresponding anomaly ratio value is larger, at this time, the method not only obtains the anomaly analysis information, but also obtains the corresponding anomaly ratio value, and fills the anomaly analysis information and the anomaly ratio value into the corresponding second grandchild node.

And generating management information of corresponding parts according to the analysis information of all the second grandchild nodes. The invention can obtain the final management information according to the different analysis information of all the second grandchild nodes, and gives the user the guidance of health management through the management information.

In a possible implementation manner, if it is determined that the vital sign parameter of the second child node is not located in the corresponding preset parameter interval, generating abnormal analysis information corresponding to the second child node, obtaining an abnormal proportion value according to the vital sign parameter and the preset parameter interval, and filling the abnormal analysis information and the abnormal proportion value into the corresponding second child node, includes:

and if the vital sign parameters are judged to be smaller than the preset parameter interval, determining minimum interval parameters of the preset parameter interval, and calculating according to the vital sign parameters and the minimum interval parameters to obtain a negative abnormal proportion value. It can be understood that, if the vital sign parameter is smaller than the preset parameter interval, the smaller the corresponding vital sign parameter is, the worse the health degree of the corresponding part is, and at this time, the negative abnormal proportion value is obtained by calculating according to the vital sign parameter and the minimum interval parameter. The greater the negative abnormal ratio value, the worse the health.

And if the vital sign parameter is judged to be larger than a preset parameter interval, determining a maximum interval parameter of the preset parameter interval, and calculating according to the vital sign parameter and the maximum interval parameter to obtain a forward abnormal proportion value. It can be understood that, if the vital sign parameter is greater than the preset parameter interval, the larger the corresponding vital sign parameter is, the worse the health degree of the corresponding part is, and at this time, the present invention calculates according to the vital sign parameter and the maximum interval parameter to obtain the corresponding positive abnormal proportion value. The greater the value of the positive anomaly ratio, the worse the health.

Filling the abnormal proportion value or the normal proportion value into the corresponding second grandchild node, calculating the negative abnormal proportion value and the positive abnormal proportion value through the following formulas,

wherein, b ^- Is a negative abnormal ratio value, r _t To a life characteristic parameter, r _min As a minimum inter-cell parameter, b ⁺ Is an abnormal proportional value of the positive direction, r _max Is the maximum interval parameter. Through r _min -r _t The difference between the vital sign parameter and the minimum interval parameter can be obtained by

A negative abnormal ratio value can be obtained. Through r _t -r _max The difference between the vital sign parameter and the maximum interval parameter can be obtained by

A positive anomaly ratio value can be obtained.

In a possible embodiment, the generating management information of the corresponding location according to the analysis information of all second grandchild nodes includes:

and if the analysis information of all the second grandchild nodes is judged to be normal analysis information, generating first preset management information corresponding to the second root node. At this time, the target part corresponding to the second grandchild node is healthy, and the first preset management information may be to maintain the lung according to the previous living habit.

And if the analysis information of the second grandchild node corresponding to the last monitoring moment information is abnormal analysis information, extracting abnormal ratio values of all the second grandchild nodes, and determining the variation trend of all the abnormal ratio values according to the time sequence relation of the abnormal ratio values. At this time, the target part corresponding to the second grandchild node is unhealthy, so that the corresponding management information is not directly generated at this time, but a change trend of the abnormal ratio value needs to be determined.

In an actual application scenario, there may be a case that the lung of the user is abnormal at the previous time, and the abnormal ratio is high (serious), and the lung is also abnormal at the current monitoring, but the abnormal ratio is already low (slight), which indicates that the user has a suitable life management manner in the process from the previous time to the current time, so that the lung health gradually becomes better, at this time, the lung can be slowly restored to normal by keeping the user in the corresponding management manner, and the lung at this time can be regarded as a gradually-better state.

If the change trend is that the abnormal proportion value gradually approaches to 0, first suggested management information is output. In this scenario, that is, the corresponding lung is in a gradually-improved state, the first recommended management information may be output, that is, the user is recommended to continuously manage the health management manner of the lung according to the previous time period.

In an actual application scenario, a user may be abnormal or normal in the lung at a previous time, if the lung is abnormal, the corresponding abnormal proportion is low (slight), and during the current monitoring, the lung is abnormal, but the abnormal proportion is high (serious), which indicates that the user does not have a proper life management mode in the process from the previous time to the current time, so that the lung health gradually deteriorates, and at this time, the user needs to be reminded, so that the user can change the previous life mode and perform corresponding health management on the lung.

And if the change trend is that the abnormal proportion value is gradually far away from 0, outputting second suggested management information. Under this kind of scene, it is the state that worsens gradually to correspond the lung, and output second suggestion management information this moment can be that the suggestion user abandons former life work and rest mode to eat certain medicine, eat certain class more and clear away the lung-heat, moisten lung food, do aerobic exercise more and so on.

In a possible implementation manner, if the analysis information of the second grandchild node corresponding to the last monitoring time information is abnormal analysis information, extracting abnormal ratio values of all the second grandchild nodes, and determining a variation trend of all the abnormal ratio values according to a time-series relationship of the abnormal ratio values, the method includes:

and acquiring abnormal proportion values corresponding to any two adjacent monitoring time information respectively, and if the abnormal proportion values are negative numbers, performing absolute value processing on all monitoring time information which are negative numbers to obtain abnormal proportion values after the absolute value processing. The abnormal proportion values of the two adjacent monitoring time information can reflect the change condition of the health of the part, if the abnormal proportion values are gradually increased, the health state of the corresponding target part is more and more poor, and if the abnormal proportion values are gradually reduced, the health state of the corresponding target part is more and more good.

If the abnormal proportion value at the next moment is smaller than the abnormal proportion value at the previous moment in all the adjacent abnormal proportion values, the change trend is judged to be that the abnormal proportion value gradually approaches to 0. It can be understood that, at this time, the abnormal ratio value is gradually decreased, and the corresponding trend of change is that the abnormal ratio value gradually approaches to 0, and at this time, the target region is more and more healthy.

If the abnormal proportion value at the next moment is larger than or equal to the abnormal proportion value at the previous moment in all the adjacent abnormal proportion values, the change trend is judged to be that the abnormal proportion value is gradually far away from 0. It can be understood that, at this time, the abnormal ratio value is gradually increased, and the corresponding trend of change is that the abnormal ratio value is gradually far from 0, and at this time, the target region is increasingly unhealthy.

Through the technical scheme, when a plurality of abnormal analysis information simultaneously appear, the change trend of the abnormal analysis information can be judged by combining the abnormal proportion value, so that more accurate management suggestions are given, uniform pushing can not be carried out according to the abnormal conditions, the mode can correspondingly confirm the self-management process of the user in the previous period, and the user can continuously carry out the health management of the corresponding target part subsequently.

In an actual application scenario, for example, there are three monitoring times, the target portion has 3 abnormal proportion values at the 3 detection times, and the abnormal proportion at the monitoring time in the middle is greater than the abnormal proportion at the front and the abnormal proportion at the rear, which may cause that the abnormal proportion at the three monitoring times is not continuously increased or continuously decreased, so a more refined calculation manner is required, and management information of the corresponding target portion can be provided under the condition of healthy repetition.

In a possible embodiment, the technical solution provided by the present invention further includes:

if all the adjacent abnormal proportion values are judged, the abnormal proportion value at the next moment is smaller than the abnormal proportion value at the previous moment, and the abnormal proportion value at the next moment is larger than or equal to the abnormal proportion value at the previous moment. In the above-described scenario, that is, when the health is repeated, the abnormal rate at a plurality of monitoring times is not continuously increased or continuously decreased.

where f is the variation amplitude value, t _g+1 Is an abnormal proportion value, t, corresponding to the g +1 th monitoring time information _g Is the abnormal ratio value corresponding to the g-th monitoring time information, q is the upper limit value of the monitoring time information, k _g And the weight value is the weight value corresponding to the g-th monitoring moment information. At this time, the present invention performs macroscopic calculation of a plurality of pieces of monitoring time information, that is, performs calculation according to the entire monitoring time, that is, sums up abnormal proportional values of adjacent pieces of monitoring time information, and sets different weight values for different pieces of monitoring time information, the weight value of the set monitoring time information being larger as the current monitoring time information is closer to the current monitoring time information.

And if the change amplitude value f is smaller than 0, outputting third suggested management information. At this time, it is proved that the abnormal ratio values corresponding to all the monitoring time information have a decreasing trend on the whole, that is, the health gradually becomes better, and at this time, corresponding third recommended management information is generated, where the third recommended management information may be "the health state of the target portion is repeated, the whole is good, and the target portion needs to be continuously managed in the previous management manner.

And if the change amplitude value f is larger than or equal to 0, outputting fourth suggested management information. At this time, it is proved that the abnormal proportion values corresponding to all the monitoring time information have an increasing trend on the whole, that is, the health gradually becomes worse, at this time, corresponding fourth recommended management information is generated, and the fourth recommended management information can be that 'the health state of the target part has repeated conditions, the whole is worse, the previous work and rest mode needs to be abandoned, a certain medicine is eaten, a certain type of food for clearing lung and moistening lung is eaten more, aerobic exercises are done more, and the like'.

The present invention is not limited to the specific examples of the first recommended management information, the second recommended management information, the third recommended management information, and the fourth recommended management information, and may be set by a physician according to an actual usage scenario.

In order to implement the APP-based multi-parameter vital sign monitoring and management method provided by the present invention, the present invention further provides a monitor, as shown in fig. 7, including:

The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.

The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.

The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.

In the embodiment of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. APP-based multi-parameter vital sign monitoring and management method is characterized by comprising the following steps:

if the user selects any first grandchild node displayed in the first form or displayed in the second form, the position corresponding to the selected first grandchild node is used as a second root node, the first grandchild node corresponding to the corresponding position of each first child node is traversed in sequence, the corresponding first grandchild node is used as a second child node, and the second child node is connected with the second root node to obtain a second structure tree;

and obtaining corresponding second grandchild nodes according to the analysis information of the vital sign parameters corresponding to each second child node, connecting the second grandchild nodes with the corresponding second child nodes, counting the analysis information of all the second grandchild nodes, generating management information of corresponding parts, and displaying the management information through an APP.

2. The APP-based multiparameter vital sign monitoring and management method of claim 1,

the method for constructing the first root node according to the name of the user, constructing the first child nodes according to the monitoring time information corresponding to each data parameter table, connecting all the first child nodes with the corresponding first root nodes respectively, constructing the first grandchild nodes according to the vital sign parameters of each part in the data parameter table, and connecting all the first grandchild nodes with the first child nodes respectively to obtain the first structural tree includes:

3. The APP-based multi-parameter vital signs monitoring and management method of claim 2,

the extracting vital sign parameters corresponding to all parts in a data parameter table corresponding to the first child node and generating a corresponding first grandchild node according to the corresponding vital sign parameters comprises the following steps:

acquiring the parameter table types of the data parameter table, wherein each parameter table type has a plurality of preset grandchild nodes with preset number and preset sequence which are preset correspondingly;

generating a plurality of preset grandchild nodes in preset quantity and preset sequence according to the type of the parameter table, wherein each preset grandchild node in the sequence has a position corresponding to the preset grandchild node;

and extracting the vital characteristic parameters of each part in the data parameter table, and filling the corresponding vital characteristic parameters into the preset grandchild nodes in the corresponding sequence to obtain the corresponding first grandchild nodes.

4. The APP-based multiparameter vital sign monitoring and management method of claim 3,

comparing the vital sign parameter of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node according to a first form or a second form according to the parameter comparison result, wherein the parameter comparison result comprises the following steps:

5. The APP-based multiparameter vital sign monitoring and management method of claim 3,

if it is determined that the user selects any one of the first grandchild nodes displayed in the first form or the second form, the position corresponding to the selected first grandchild node is used as a second root node, the first grandchild nodes corresponding to the corresponding position of each first child node are sequentially traversed, the corresponding first grandchild nodes are used as second child nodes, and the second child nodes are connected with the second root nodes to obtain a second structure tree, the method includes:

6. The APP-based multiparameter vital sign monitoring and management method of claim 5,

the method includes the steps of obtaining corresponding second grandchild nodes according to analysis information of vital sign parameters corresponding to each second child node, connecting the second grandchild nodes with the corresponding second child nodes, counting the analysis information of all the second grandchild nodes, generating management information of corresponding parts, and displaying the management information through an APP, and includes the following steps:

establishing a second grandchild node corresponding to each second child node;

7. The APP-based multiparameter vital sign monitoring and management method of claim 6,

if the vital sign parameter of the second child node is judged not to be located in the corresponding preset parameter interval, generating abnormal analysis information corresponding to the second child node, obtaining an abnormal proportion value according to the vital sign parameter and the preset parameter interval, and filling the abnormal analysis information and the abnormal proportion value into the corresponding second grandchild node, wherein the method comprises the following steps:

8. The APP-based multiparameter vital sign monitoring and management method of claim 7,

the generating of the management information of the corresponding part according to the analysis information of all the second grandchild nodes includes:

9. The APP-based multiparameter vital sign monitoring and management method of claim 8,

if the analysis information of the second grandchild node corresponding to the last monitoring time information is abnormal analysis information, extracting abnormal proportion values of all the second grandchild nodes, and determining the change trend of all the abnormal proportion values according to the relation of the abnormal proportion values in the time sequence, wherein the change trend comprises the following steps:

10. The APP-based multiparameter vital sign monitoring and management method of claim 9, further comprising:

where f is the variation amplitude value, t _g+1 Is the abnormal proportion value t corresponding to the g +1 th monitoring time information _g Is the abnormal ratio value corresponding to the g-th monitoring time information, q is the upper limit value of the monitoring time information, k _g The weight value corresponding to the g-th monitoring moment information;

11. Monitor, its characterized in that includes:

the comparison module is used for comparing the vital characteristic parameters of each first grandchild node with a preset parameter interval to obtain a parameter comparison result, and displaying the first grandchild node in a first form or a second form according to the parameter comparison result;

the connection module is used for taking a position corresponding to the selected first grandchild node as a second root node if judging that the user selects any first grandchild node displayed in the first form or the second form, sequentially traversing the first grandchild nodes corresponding to the corresponding positions of each first child node, taking the corresponding first grandchild nodes as second child nodes, and connecting the second child nodes with the second root node to obtain a second structure tree;