CN112863675B - Method and system for collecting and evaluating information of osteoporosis patient - Google Patents
Method and system for collecting and evaluating information of osteoporosis patient Download PDFInfo
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Abstract
The invention discloses an information collection and evaluation method and system for osteoporosis patients, which are used for obtaining first historical examination information; obtaining first basic information, checking and verifying first historical checking information according to the first basic information to obtain a first checking result, and obtaining a first bone quality evaluation result according to second historical checking information; obtaining first motion information; evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade; inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information; obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result; the personal information set is constructed based on the results and second historical review information. The technical problems that in the prior art, the acquired information in the information acquisition process of the osteoporosis patient is not accurate enough and comprehensive enough, and the diagnosis and the rehabilitation of the patient are influenced are solved.
Description
Technical Field
The invention relates to the field of information collection and evaluation, in particular to an information collection and evaluation method and system for osteoporosis patients.
Background
Osteoporosis (osteoporotis) is a systemic bone disease in which bone fracture is easily caused by a decrease in bone density and bone mass due to various causes, a destruction of bone microarchitecture, and an increase in bone fragility. Osteoporosis is divided into primary and secondary categories. Primary osteoporosis is classified into postmenopausal osteoporosis (type i), senile osteoporosis (type ii) and idiopathic osteoporosis (including juvenile type). Postmenopausal osteoporosis generally occurs in women within 5-10 years after menopause; senile osteoporosis generally refers to osteoporosis occurring in the elderly after age 70; however, idiopathic osteoporosis mainly occurs in adolescents, and the cause of the disease is unknown. Osteoporosis has the hazards of high morbidity, high disability rate and high mortality. Osteoporosis can cause shortening of the height of a person, pain in the bones and joints of the whole body, hunchback, deformation of the thorax, and the like.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problems that collected information in the information collection process of osteoporosis patients is not accurate enough and comprehensive enough, and diagnosis and rehabilitation of the patients are affected exist in the prior art.
Disclosure of Invention
The embodiment of the application provides an information collection and evaluation method and system for patients with osteoporosis, solves the technical problems that in the prior art, the collected information in the information collection process of the patients with osteoporosis is not accurate enough and comprehensive enough, and further the diagnosis and the rehabilitation of the patients are influenced, achieves the technical effects that the information of the patients is collected and evaluated accurately and comprehensively, and further the patients are diagnosed in an auxiliary manner, and the rehabilitation efficiency of the patients is improved.
In view of the above problems, embodiments of the present application provide a method and a system for collecting and evaluating information of osteoporosis patients.
In a first aspect, the present application further provides an information collection and evaluation method for osteoporosis patients, the method is applied to an information collection and evaluation system, the information collection and evaluation system is connected to a first monitoring device in a communication manner, and the method includes: obtaining first historical inspection information of a first user; obtaining first basic information of the first user, and performing check record verification on the first historical check information according to the first basic information to obtain a first verification result, wherein the first verification result comprises second historical check information; obtaining a first bone evaluation result of the first user according to the second historical examination information; obtaining, by the first monitoring device, first motion information for a first cycle of the first user; obtaining a first evaluation instruction, and evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade; inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information; obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result; and constructing a personal information set of the first user based on the first quality prediction result and the second historical examination information.
In another aspect, the present application further provides an information collecting and evaluating system for osteoporosis patients, the system comprising: a first obtaining unit configured to obtain first history check information of a first user; a second obtaining unit, configured to obtain first basic information of the first user, perform check record verification on the first historical check information according to the first basic information, and obtain a first verification result, where the first verification result includes second historical check information; a third obtaining unit, configured to obtain a first bone evaluation result of the first user according to the second historical examination information; a fourth obtaining unit, configured to obtain, by a first monitoring device, first motion information of a first cycle of the first user; a fifth obtaining unit, configured to obtain a first evaluation instruction, evaluate the first motion information according to the first evaluation instruction, and obtain a first motion evaluation level; the first input unit is used for inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information; a sixth obtaining unit, configured to obtain a first body estimation result according to the first matching degree information and the first bone evaluation result; a first construction unit configured to construct a personal information set of the first user based on the first quality prediction result and the second historical inspection information.
In a third aspect, the present invention provides an information collecting and evaluating system for osteoporosis patients, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the first historical examination record information is checked through the basic information of the first user, a first bone quality evaluation result of the first user is obtained through the checking result, a first motion evaluation grade of the first user is obtained through the first motion information of the first user, first matching degree information is obtained based on the first motion grade and the first bone quality evaluation result, a first body quality estimation result of the first user is obtained through the matching degree information and the first bone quality evaluation result, a personal information set of the first user is constructed through the first body quality estimation result and the second historical examination information, and the information of the first user is integrated and processed, so that the related information of the first user is more accurate and has credibility, and further the information of a patient is comprehensively collected and evaluated, thereby assisting the diagnosis of the patient and improving the technical effect of the rehabilitation efficiency of the patient.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a method for collecting and evaluating information of a patient with osteoporosis according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an information collection and evaluation method for osteoporosis patients according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first input unit 16, a sixth obtaining unit 17, a first constructing unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides an information collection and evaluation method and system for patients with osteoporosis, solves the technical problems that in the prior art, the collected information in the information collection process of the patients with osteoporosis is not accurate enough and comprehensive enough, and further the diagnosis and the rehabilitation of the patients are influenced, achieves the technical effects that the information of the patients is collected and evaluated accurately and comprehensively, and further the patients are diagnosed in an auxiliary manner, and the rehabilitation efficiency of the patients is improved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
Osteoporosis (osteoporotis) is a systemic bone disease in which bone fracture is easily caused by a decrease in bone density and bone mass due to various causes, a destruction of bone microarchitecture, and an increase in bone fragility. Osteoporosis is divided into primary and secondary categories. Primary osteoporosis is classified into postmenopausal osteoporosis (type i), senile osteoporosis (type ii) and idiopathic osteoporosis (including juvenile type). Postmenopausal osteoporosis generally occurs in women within 5-10 years after menopause; senile osteoporosis generally refers to osteoporosis occurring in the elderly after age 70; however, idiopathic osteoporosis mainly occurs in adolescents, and the cause of the disease is unknown. Osteoporosis has the hazards of high morbidity, high disability rate and high mortality. Osteoporosis can cause shortening of the height of a person, pain in the bones and joints of the whole body, hunchback, deformation of the thorax, and the like. The technical problems that collected information in the information collection process of osteoporosis patients is not accurate enough and comprehensive enough, and diagnosis and rehabilitation of the patients are affected exist in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an information collection and evaluation method for osteoporosis patients, which is applied to an information collection and evaluation system, wherein the information collection and evaluation system is in communication connection with a first monitoring device, and the method comprises the following steps: obtaining first historical inspection information of a first user; obtaining first basic information of the first user, and performing check record verification on the first historical check information according to the first basic information to obtain a first verification result, wherein the first verification result comprises second historical check information; obtaining a first bone evaluation result of the first user according to the second historical examination information; obtaining, by the first monitoring device, first motion information for a first cycle of the first user; obtaining a first evaluation instruction, and evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade; inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information; obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result; and constructing a personal information set of the first user based on the first quality prediction result and the second historical examination information.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an information collection and evaluation method for a patient with osteoporosis, wherein the method is applied to an information collection and evaluation system, the information collection and evaluation system is communicatively connected to a first monitoring device, and the method includes:
step S100: obtaining first historical inspection information of a first user;
specifically, the information collection and evaluation system is a system with information analysis and processing capabilities, the first monitoring device is a device for monitoring motion information of a user, the device can be a human body monitoring technology implementation module based on real-time video images, a module for extracting a motion area of an image by using a frame difference method to implement human body motion monitoring, and a related mature motion monitoring product, such as a motion bracelet and the like. Obtaining, by the information collection and evaluation system, first historical examination information of the first user, the historical examination information including results of diagnoses made by the first user at respective hospitals, if permitted by the first user.
Step S200: obtaining first basic information of the first user, and performing check record verification on the first historical check information according to the first basic information to obtain a first verification result, wherein the first verification result comprises second historical check information;
step S300: obtaining a first bone evaluation result of the first user according to the second historical examination information;
specifically, the first basic information of the first user includes a name, identification number information, mobile phone number information, age information, current state information, and the like of the first user, the acquired first historical examination information is verified based on the first basic information of the first user, the verification process includes information verification of a relevant examination result, verification of a detection level of an examination organization, verification of a detection time, verification of a correlation between a detected result and a bone substance, and the like, and a first verification result is obtained based on the basic information of the first user, and the first verification result includes second historical examination information. And evaluating the bone quality of the first user according to the verified historical examination information, wherein the evaluation is a result of evaluating the osteoporosis degree of the user, a first bone quality evaluation result of the first user is obtained according to the historical detection information, and the first bone quality evaluation result is basic data for subsequent bone quality analysis.
Step S400: obtaining, by the first monitoring device, first motion information for a first cycle of the first user;
specifically, the first monitoring device is the device for monitoring the motion information of the user, and the device may be a human body monitoring technology implementation module based on a real-time video image, a module for implementing human body motion monitoring by extracting a motion area of an image by using a frame difference method, or a related mature motion monitoring product, such as a motion bracelet and the like. The method comprises the steps of monitoring the motion of a first user through a motion monitoring device, periodically classifying the motion of the first user according to time to obtain a corresponding motion period, analyzing the motion condition of the first user according to the motion period to obtain first motion related information of the first user in the first period, wherein the motion related information comprises motion amount information, motion amplitude information, motion time information and the like.
Step S500: obtaining a first evaluation instruction, and evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade;
specifically, the first evaluation instruction is an instruction for controlling the information collection and evaluation system to evaluate information, and the first evaluation instruction controls the system to evaluate first motion information of the first user, wherein the evaluation includes multi-angle evaluation, such as total motion evaluation, motion intensity evaluation, motion amplitude evaluation, and the like, and motion grade information of the first user is obtained according to the evaluation result.
Step S600: inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information;
step S700: obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result;
specifically, according to the first bone evaluation result and first movement evaluation grade information of the first user, the matching degree of the bone evaluation result and the movement grade is determined, and the exercise recovery condition of the first user is evaluated according to the matching degree information. Further, the matching degree is judged through a first matching model, the first bone evaluation result and the first motion evaluation grade are used as input information, the first matching model is input, and first matching degree information is obtained through the first matching model. And estimating the current constitution of the first user based on the matching degree of the first motion grade information and the first bone quality evaluation result to obtain the current constitution estimation result of the first user.
Step S800: and constructing a personal information set of the first user based on the first quality prediction result and the second historical examination information.
Specifically, based on the obtained first quality estimation result and the second historical examination information, an exclusive information set of the first user is constructed, that is, the information is used as basic data of personal information of the first user to construct an information set, and the information of the first user is detected and verified by integrating and analyzing the relevant information of the first user, so that the relevant information of the first user is more accurate and has reliability, and further, the information of the patient is comprehensively collected and evaluated, so that the diagnosis of the patient is assisted, and the technical effect of improving the recovery efficiency of the patient is improved.
Further, the obtaining a first evaluation instruction evaluates the first motion information according to the first evaluation instruction to obtain a first motion evaluation level, and the embodiment of the present application further includes:
step S510: according to the first evaluation instruction, obtaining a first motion intensity threshold value through the first basic information;
step S520: judging whether the first motion information meets the first motion intensity threshold value;
step S530: when the first motion information meets the first motion intensity threshold, obtaining a second evaluation instruction;
step S540: obtaining first action information of the first user according to the second evaluation instruction;
step S550: performing action amplitude analysis on the first action according to the second evaluation instruction to obtain a first analysis result;
step S560: and obtaining the first motion evaluation grade according to the first analysis result.
Specifically, the exercise intensity is a main factor reflecting an exercise load, the exercise intensity is mainly determined by exercise density, exercise intermission time and exercise speed, an exercise intensity threshold dedicated to a first user is set based on the body information of the first user, namely the first exercise intensity threshold, whether the first exercise information meets the first exercise intensity threshold is judged according to the first exercise information of the first user, when the first exercise information does not meet the first exercise intensity threshold, the exercise intensity of the first user exceeds the intensity threshold at the moment, the exercise intensity of the first user is indicated to be not matched with the bone quality of the first user, at the moment, the exercise level of the first user is adjusted to be increased, and the actual exercise intensity of the first user is indicated to be very high. When the first motion information meets the first motion intensity threshold value, a second evaluation instruction is obtained, the motion amplitude in the first motion is analyzed according to the second evaluation instruction, whether the motion amplitude is matched with the current constitution information of the first user or not is judged according to the evaluation of the motion amplitude of the first motion information of the first user, and when the motion amplitude is not matched with the current constitution information of the first user, the motion evaluation grade of the first user is adjusted to be increased. The obtained motion evaluation grade information of the first user is more accurate through further analyzing and processing the motion information of the first user, so that the information of the first user is accurately analyzed subsequently, the information is collected and evaluated, the diagnosis of the patient is assisted, and the foundation is tamped for improving the rehabilitation efficiency of the patient.
Further, the embodiment of the present application further includes:
step S570: obtaining a first injury location of the first user;
step S580: performing relevance evaluation on the first action according to the first injury position to obtain a first relevance evaluation result;
step S590: and correcting the first motion evaluation grade according to the first association evaluation result.
Specifically, the first injury position is an injury position of the first user, the injury is injury information related to bones, such as osteoarthritis, hyperosteogeny, lumbar disc herniation, fracture and the like, the position information of the injury of the first user is obtained through the related information, the first action of the first user is evaluated, the evaluation is an evaluation of a degree of association between the injury position of the first user and the first action, a first association evaluation result is obtained, the higher the degree of association is, the higher the evaluation level of the movement of the first user is, for example, when the right arm of the first user is fractured, the higher the degree of association between the first action and the right arm fracture is, the first action at this time is at least related to the right arm or is the action of the right arm, and the movement amount of the first action at this time cannot be calculated with a normal movement amount, it is necessary to perform appropriate up-regulation processing of the motion amount, i.e., up-regulation of the motion level. And by combining the position of the injury of the first user, the movement grade of the first user is further refined, so that the grade result is more accurate and suitable for the first user, and a foundation is tamped for subsequent continuous analysis.
Further, the embodiment of the present application further includes:
step S591: obtaining a second injury location of the first user;
step S592: obtaining a second correlation degree evaluation result according to the first injury position and the second injury position;
step S593: performing relevance evaluation according to the second injury position and the first action to obtain a third relevance evaluation result;
step S594: obtaining first adjustment information according to the second relevance evaluation result and the third relevance evaluation result;
step S595: and correcting the first motion evaluation grade according to the first adjustment information.
Specifically, the second damaged position is a position of damaged information at another position of the first user, the damaged information at another position of the first user is detected, when the first user has a second damaged position, a second relevance evaluation result is obtained through the first position and the second position, the second relevance evaluation result is a relevance between the first damaged position and the second damaged position, the first action and the second damaged position are evaluated to obtain relevance information between the second damaged position and the first action, namely, a third relevance evaluation result, and the first motion level evaluation result of the first user is adjusted according to the third relevance evaluation result and the second relevance evaluation result.
Further, the embodiment of the present application further includes:
step S910: acquiring first age information of the first user according to the first basic information;
step S920: obtaining first grading information according to the first age information;
step S930: and adjusting the physique estimation result according to the first grading information, and taking the first grading information as the personal information of the first user.
Specifically, the first age information is the age information of the first user, the age information of the first user is obtained through the basic information of the first user, the first user is subjected to label storage through the age information, namely, the bone conditions of people in different age stages have certain differences, generally speaking, the bone of an old person over 50 years old starts to be loose, and is special, and children also can have the osteoporosis condition, and the related information of the first user is labeled as a statistical label based on an age layer, so that the subsequent application and search of the related information of the first user are facilitated. And determining the grading information of the age of the first user based on the grading standard, namely determining the first grading information, and using the first grading information as the label information of the personal information of the first user.
Further, the embodiment of the present application further includes:
step S940: obtaining diet information of the first user;
step S950: analyzing the nutrition collocation of the first user according to the diet information to obtain a first nutrition collocation list of the first user;
step S960: using the first nutrition collocation list as information in the personal information set of the first user.
Specifically, the diet information of the first user is obtained by monitoring the diet of the first user, the diet detection may be obtained by monitoring the diet process of the first user with an imaging device, the diet information of the first user is monitored, the monitoring result is analyzed to obtain a first nutrition collocation analysis result of the first user under current diet, a first nutrition collocation list of the first user is obtained according to the nutrition collocation analysis result, and the first diet collocation list of the first user is collected to be used as basic data in the personal information set of the first user. The nutrition collocation list of the first user is obtained through analysis of the diet information of the first user, so that the acquisition result of the information of the first user is more abundant.
Further, the embodiment of the present application further includes:
step S1010: obtaining a first training data set, wherein each set of data in the first training data set includes the first bone assessment result, the first motion assessment level, and identification information identifying a first result;
step S1020: and constructing a model based on the first training data set to obtain a first matching degree model, and analyzing and processing the relevant information of the first user based on the first matching degree model.
Specifically, the first matching degree model is a matching degree evaluation model constructed based on a neural network, the model is constructed after supervised training through multiple groups of supervised data, the supervised training data comprise a first training data set, each group of data in the first training data set comprises identification information for identifying a first result, a first bone evaluation result and a first motion evaluation grade, and the first matching degree model is supervised and learned according to the identification information for identifying the first result, so that the model can be processed more accurately, a more accurate matching degree evaluation result can be obtained, and a foundation is laid for further analysis of subsequent constitution estimation of the first user.
In summary, the method and the system for collecting and evaluating the information of the osteoporosis patient provided by the embodiment of the present application have the following technical effects:
1. the first historical examination record information is checked through the basic information of the first user, a first bone quality evaluation result of the first user is obtained through the checking result, a first motion evaluation grade of the first user is obtained through the first motion information of the first user, first matching degree information is obtained based on the first motion grade and the first bone quality evaluation result, a first body quality estimation result of the first user is obtained through the matching degree information and the first bone quality evaluation result, a personal information set of the first user is constructed through the first body quality estimation result and the second historical examination information, and the information of the first user is integrated and processed, so that the related information of the first user is more accurate and has credibility, and further the information of a patient is comprehensively collected and evaluated, thereby assisting the diagnosis of the patient and improving the technical effect of the rehabilitation efficiency of the patient.
Due to the adoption of the mode of further analyzing and processing the motion information of the first user, the obtained motion evaluation grade information of the first user is more accurate to evaluate, and then the information of the first user is accurately analyzed subsequently, and the information is collected and evaluated, so that the diagnosis of the patient is assisted, and the basic technical effect is tamped for improving the recovery efficiency of the patient.
Example two
Based on the same inventive concept as the information collection and evaluation method for osteoporosis patients in the previous embodiment, the present invention further provides an information collection and evaluation system for osteoporosis patients, as shown in fig. 2, the system comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining first history checking information of a first user;
a second obtaining unit 12, configured to obtain first basic information of the first user, perform check record verification on the first historical check information according to the first basic information, and obtain a first verification result, where the first verification result includes second historical check information;
a third obtaining unit 13, wherein the third obtaining unit 13 is configured to obtain a first bone evaluation result of the first user according to the second historical examination information;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first motion information of a first cycle of the first user through a first monitoring device;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain a first evaluation instruction, evaluate the first motion information according to the first evaluation instruction, and obtain a first motion evaluation level;
a first input unit 16, wherein the first input unit 16 is configured to input the first bone evaluation result and the first motion evaluation level into a first matching model to obtain first matching degree information;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain a first estimated body quality result according to the first matching degree information and the first bone evaluation result;
a first constructing unit 18, wherein the first constructing unit 18 is configured to construct a personal information set of the first user based on the first quality prediction result and the second historical inspection information.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain, according to the first evaluation instruction, a first exercise intensity threshold from the first basic information;
a first judging unit configured to judge whether the first motion information satisfies the first motion intensity threshold;
an eighth obtaining unit, configured to obtain a second evaluation instruction when the first motion information satisfies the first motion intensity threshold;
a ninth obtaining unit, configured to obtain first action information of the first user according to the second evaluation instruction;
a tenth obtaining unit, configured to perform action amplitude analysis on the first action according to the second evaluation instruction, and obtain a first analysis result;
an eleventh obtaining unit configured to obtain the first motion estimation level from the first analysis result.
Further, the system further comprises:
a twelfth obtaining unit for obtaining a first injury position of the first user;
a thirteenth obtaining unit, configured to perform relevance assessment on the first action according to the first injury position, and obtain a first relevance assessment result;
a fourteenth obtaining unit, configured to perform correction processing on the first motion evaluation level according to the first association degree evaluation result.
Further, the system further comprises:
a fifteenth obtaining unit for obtaining a second injury position of the first user;
a sixteenth obtaining unit, configured to obtain a second correlation degree evaluation result according to the first injury position and the second injury position;
a seventeenth obtaining unit, configured to perform relevance assessment according to the second injury position and the first action, and obtain a third relevance assessment result;
an eighteenth obtaining unit, configured to obtain first adjustment information according to the second relevance evaluation result and the third relevance evaluation result;
a nineteenth obtaining unit configured to perform correction processing on the first motion estimation level according to the first adjustment information.
Further, the system further comprises:
a twentieth obtaining unit configured to obtain first age information of the first user according to the first basic information;
a twenty-first obtaining unit configured to obtain first ranking information according to the first age information;
a twenty-second obtaining unit, configured to adjust the physical fitness estimation result according to the first classification information, and use the first classification information as personal information of the first user.
Further, the system further comprises:
a twenty-third obtaining unit for obtaining diet information of the first user;
a twenty-fourth obtaining unit, configured to analyze a nutrition collocation of the first user according to the diet information, and obtain a first nutrition collocation list of the first user;
a twenty-fifth obtaining unit to use the first nutrition collocation list as information in a personal information set of the first user.
Further, the system further comprises:
a twenty-sixth obtaining unit, configured to obtain a first training data set, where each set of data in the first training data set includes the first bone evaluation result, the first motion evaluation level, and identification information identifying a first result;
a twenty-seventh obtaining unit, configured to perform model construction based on the first training data set, obtain a first matching degree model, and perform analysis processing on the relevant information of the first user based on the first matching degree model.
Various modifications and embodiments of the method for collecting and evaluating information of a osteoporosis patient in the first embodiment of fig. 1 are also applicable to the system for collecting and evaluating information of a osteoporosis patient in the present embodiment, and the implementation method of the system for collecting and evaluating information of a osteoporosis patient in the present embodiment is clear to those skilled in the art from the foregoing detailed description of the method for collecting and evaluating information of a osteoporosis patient, so for the sake of brevity of the description, the detailed description is omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the method for collecting and evaluating information of a patient with osteoporosis as in the previous embodiment, the present invention further provides a system for collecting and evaluating information of a patient with osteoporosis, on which a computer program is stored, which when executed by a processor implements the steps of any one of the methods for collecting and evaluating information of a patient with osteoporosis as described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides an information collection and evaluation method for osteoporosis patients, which is applied to an information collection and evaluation system, wherein the information collection and evaluation system is in communication connection with a first monitoring device, and the method comprises the following steps: obtaining first historical inspection information of a first user; obtaining first basic information of the first user, and performing check record verification on the first historical check information according to the first basic information to obtain a first verification result, wherein the first verification result comprises second historical check information; obtaining a first bone evaluation result of the first user according to the second historical examination information; obtaining, by the first monitoring device, first motion information for a first cycle of the first user; obtaining a first evaluation instruction, and evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade; inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information; obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result; and constructing a personal information set of the first user based on the first quality prediction result and the second historical examination information. The technical problems that in the prior art, the acquired information in the information acquisition process of the osteoporosis patient is not accurate and comprehensive enough, and further the diagnosis and rehabilitation of the patient are influenced are solved, the information of the patient is accurately and comprehensively collected and evaluated, and further the patient is assisted to be diagnosed, and the rehabilitation efficiency of the patient is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention 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. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. An information collection and evaluation method for osteoporosis patients, wherein the method is applied to an information collection and evaluation system which is connected with a first monitoring device in a communication mode, and the method comprises the following steps:
obtaining first historical inspection information of a first user;
obtaining first basic information of the first user, and performing check record verification on the first historical check information according to the first basic information to obtain a first verification result, wherein the first verification result comprises second historical check information;
obtaining a first bone evaluation result of the first user according to the second historical examination information;
obtaining, by the first monitoring device, first motion information for a first cycle of the first user;
obtaining a first evaluation instruction, and evaluating the first motion information according to the first evaluation instruction to obtain a first motion evaluation grade;
inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information;
obtaining a first body estimation result according to the first matching degree information and the first bone evaluation result;
constructing a personal information set of the first user based on the first quality prediction result and the second historical inspection information;
wherein the obtaining a first evaluation instruction, evaluating the first motion information according to the first evaluation instruction, and obtaining a first motion evaluation level, further includes:
according to the first evaluation instruction, obtaining a first motion intensity threshold value through the first basic information;
judging whether the first motion information meets the first motion intensity threshold value;
when the first motion information meets the first motion intensity threshold, obtaining a second evaluation instruction;
obtaining first action information of the first user according to the second evaluation instruction;
performing action amplitude analysis on the first action according to the second evaluation instruction to obtain a first analysis result;
obtaining the first motion evaluation grade according to the first analysis result;
wherein the method further comprises:
obtaining a first injury location of the first user;
performing relevance evaluation on the first action according to the first injury position to obtain a first relevance evaluation result;
correcting the first motion evaluation grade according to the first relevance evaluation result;
wherein the method further comprises:
obtaining a second injury location of the first user;
obtaining a second correlation degree evaluation result according to the first injury position and the second injury position;
performing relevance evaluation according to the second injury position and the first action to obtain a third relevance evaluation result;
obtaining first adjustment information according to the second relevance evaluation result and the third relevance evaluation result;
and correcting the first motion evaluation grade according to the first adjustment information.
2. The method of claim 1, wherein the method further comprises:
acquiring first age information of the first user according to the first basic information;
obtaining first grading information according to the first age information;
and adjusting the physique estimation result according to the first grading information, and taking the first grading information as the personal information of the first user.
3. The method of claim 2, wherein the method further comprises:
obtaining diet information of the first user;
analyzing the nutrition collocation of the first user according to the diet information to obtain a first nutrition collocation list of the first user;
using the first nutrition collocation list as information in the personal information set of the first user.
4. The method of claim 1, wherein the method further comprises:
obtaining a first training data set, wherein each set of data in the first training data set includes the first bone assessment result, the first motion assessment level, and identification information identifying a first result;
and constructing a model based on the first training data set to obtain a first matching degree model, and analyzing and processing the relevant information of the first user based on the first matching degree model.
5. An information collection and assessment system for osteoporotic patients, wherein said system comprises:
a first obtaining unit configured to obtain first history check information of a first user;
a second obtaining unit, configured to obtain first basic information of the first user, perform check record verification on the first historical check information according to the first basic information, and obtain a first verification result, where the first verification result includes second historical check information;
a third obtaining unit, configured to obtain a first bone evaluation result of the first user according to the second historical examination information;
a fourth obtaining unit, configured to obtain, by a first monitoring device, first motion information of a first cycle of the first user;
a fifth obtaining unit, configured to obtain a first evaluation instruction, evaluate the first motion information according to the first evaluation instruction, and obtain a first motion evaluation level;
the first input unit is used for inputting the first bone evaluation result and the first motion evaluation grade into a first matching model to obtain first matching degree information;
a sixth obtaining unit, configured to obtain a first body estimation result according to the first matching degree information and the first bone evaluation result;
a first construction unit, configured to construct a personal information set of the first user based on the first quality estimation result and the second historical inspection information;
further, the system further comprises:
a seventh obtaining unit, configured to obtain, according to the first evaluation instruction, a first exercise intensity threshold from the first basic information;
a first judging unit configured to judge whether the first motion information satisfies the first motion intensity threshold;
an eighth obtaining unit, configured to obtain a second evaluation instruction when the first motion information satisfies the first motion intensity threshold;
a ninth obtaining unit, configured to obtain first action information of the first user according to the second evaluation instruction;
a tenth obtaining unit, configured to perform action amplitude analysis on the first action according to the second evaluation instruction, and obtain a first analysis result;
an eleventh obtaining unit configured to obtain the first motion estimation level from the first analysis result;
further, the system further comprises:
a twelfth obtaining unit for obtaining a first injury position of the first user;
a thirteenth obtaining unit, configured to perform relevance assessment on the first action according to the first injury position, and obtain a first relevance assessment result;
a fourteenth obtaining unit, configured to perform correction processing on the first motion evaluation level according to the first association degree evaluation result;
further, the system further comprises:
a fifteenth obtaining unit for obtaining a second injury position of the first user;
a sixteenth obtaining unit, configured to obtain a second correlation degree evaluation result according to the first injury position and the second injury position;
a seventeenth obtaining unit, configured to perform relevance assessment according to the second injury position and the first action, and obtain a third relevance assessment result;
an eighteenth obtaining unit, configured to obtain first adjustment information according to the second relevance evaluation result and the third relevance evaluation result;
a nineteenth obtaining unit configured to perform correction processing on the first motion estimation level according to the first adjustment information.
6. An information collection and assessment system for osteoporotic patients comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing said program implements the steps of the method of any of claims 1-4.
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| CN118121164B (en) * | 2024-05-08 | 2024-07-05 | 达州市中心医院(达州市人民医院) | Bone state screening method and system based on multidimensional detection data of rheumatic lesion area |
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