CN112768066A - Neurosurgical patient comprehensive diagnosis and treatment method and system - Google Patents
Neurosurgical patient comprehensive diagnosis and treatment method and system Download PDFInfo
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- CN112768066A CN112768066A CN202110234993.9A CN202110234993A CN112768066A CN 112768066 A CN112768066 A CN 112768066A CN 202110234993 A CN202110234993 A CN 202110234993A CN 112768066 A CN112768066 A CN 112768066A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention discloses a neurosurgical patient comprehensive diagnosis and treatment method and a neurosurgical patient comprehensive diagnosis and treatment system, wherein a first image of a first user is obtained; obtaining first basic information; analyzing the first image and the first basic information according to the first analysis instruction to obtain a first analysis result; obtaining first state grading information of the first user according to a first analysis result; matching the first test set with the second test set, and evaluating the first user for the disturbance of consciousness according to the first evaluation finger; obtaining first sound feedback and second image feedback in the consciousness disturbance evaluation process, inputting the first input set and the second input set into a first consciousness disturbance analysis model, and obtaining a first output result; and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result. The technical problems that in the prior art, the working intensity of nursing staff is high, and the judgment of the state of a patient is inaccurate are solved.
Description
Technical Field
The invention relates to the related field of neurosurgery, in particular to a comprehensive diagnosis and treatment method and system for neurosurgical patients.
Background
Neurosurgical patients are generally critical, the disease characteristics are complex and changeable, the change is rapid sometimes, a large number of patients are in a coma state for a long time, the life cannot be taken care of, the recovery process is long, the patients are in bed in a coma, the disease changes rapidly, life risks can occur at any time, and many complications and potential safety hazards exist, so that the requirements on the working strength and related working experience of nursing staff are high.
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 nursing staff are high in working strength and inaccurate in judgment of the state of a patient exist in the prior art.
Disclosure of Invention
The embodiment of the application provides a neurosurgical patient comprehensive diagnosis and treatment method and system, solves the technical problems that in the prior art, the working strength of nursing staff is high, and the state of a patient is judged inaccurately, achieves the technical effects that the intelligent patient is monitored, the working strength of the nursing staff is reduced, and the state of the patient is judged accurately.
In view of the above problems, the present application provides a neurosurgical patient comprehensive diagnosis and treatment method and system.
In a first aspect, the present application further provides a neurosurgical patient comprehensive diagnosis and treatment method, where the method is applied to a comprehensive diagnosis and treatment system, and the comprehensive diagnosis and treatment system is communicatively connected to a first camera device, and the method includes: obtaining a first image of a first user through the first camera device; acquiring first basic information of the first user through the comprehensive diagnosis and treatment system; acquiring a first analysis instruction, and analyzing the first image and the first basic information according to the first analysis instruction to acquire a first analysis result; obtaining first state grading information of the first user according to the first analysis result; matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets; obtaining a first evaluation instruction, and respectively evaluating the first user for the disturbance of consciousness through the first test set and the second test set according to the first evaluation instruction; obtaining first sound feedback and second image feedback in the consciousness disturbance assessment process, wherein the first sound feedback is patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is patient feedback images for performing consciousness disturbance assessment on the first user through the second test set; using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model to obtain a first output result; and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
In another aspect, the present application further provides a neurosurgical patient comprehensive diagnosis and treatment system, including: a first obtaining unit configured to obtain a first image of a first user by a first image pickup apparatus; a second obtaining unit, configured to obtain first basic information of the first user through a comprehensive diagnosis and treatment system; a third obtaining unit, configured to obtain a first parsing instruction, parse the first image and the first basic information according to the first parsing instruction, and obtain a first parsing result; a fourth obtaining unit, configured to obtain first state ranking information of the first user according to the first parsing result; the first matching unit is used for matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets; a fifth obtaining unit, configured to obtain a first evaluation instruction, and perform disturbance of consciousness assessment on the first user through the first test set and the second test set according to the first evaluation instruction; a sixth obtaining unit, configured to obtain a first sound feedback and a second image feedback in the consciousness disturbance assessment process, where the first sound feedback is a patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is a patient feedback image for performing consciousness disturbance assessment on the first user through the second test set; a first input unit, configured to use the first test set and the first sound feedback as a first input set, use the second test set and the second image feedback as a second input set, and input the first input set and the second input set into a first mental disorder analysis model to obtain a first output result; the first evaluation unit is used for evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
In a third aspect, the present invention provides a neurosurgical patient comprehensive diagnosis and treatment system 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 method comprises the steps of obtaining a first image of a first user, obtaining first basic information of the first user, analyzing the first image and the first basic information according to a first analysis instruction to obtain a first analysis result, obtaining first state grading information of the first user according to the first analysis result, matching a first test set and a second test set through the first state grading information, evaluating the consciousness disturbance of the first user according to the first test set and the second test set, obtaining first sound feedback and second image feedback of the first user in the evaluation process, using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model, the method comprises the steps of obtaining a first output result, evaluating the real-time state of a first user according to the first output result to obtain a first evaluation result, using the first evaluation result as basic information of diagnosis and treatment of the first user, and tamping a basis for accurately analyzing and tamping the state of an illness of the first user, so that the technical effects of intelligently monitoring the user, reducing the working intensity of nursing staff and improving the state judgment accuracy of the first user are achieved.
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 neurosurgical patient comprehensive diagnosis and treatment method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a neurosurgical patient comprehensive diagnosis and treatment method 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 first matching unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a first input unit 18, a first evaluation unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 305.
Detailed Description
The embodiment of the application provides a neurosurgical patient comprehensive diagnosis and treatment method and system, solves the technical problems that in the prior art, the working strength of nursing staff is high, and the state of a patient is judged inaccurately, achieves the technical effects that the intelligent patient is monitored, the working strength of the nursing staff is reduced, and the state of the patient is judged accurately. 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
Neurosurgical patients are generally critical, the disease characteristics are complex and changeable, the change is rapid sometimes, a large number of patients are in a coma state for a long time, the life cannot be taken care of, the recovery process is long, the patients are in bed in a coma, the disease changes rapidly, life risks can occur at any time, and many complications and potential safety hazards exist, so that the requirements on the working strength and related working experience of nursing staff are high. The technical problems that nursing staff are high in working strength and inaccurate in judgment of the state of a patient 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 a neurosurgical patient comprehensive diagnosis and treatment method, which is applied to a comprehensive diagnosis and treatment system, wherein the comprehensive diagnosis and treatment system is in communication connection with a first camera device, and the method comprises the following steps: obtaining a first image of a first user through the first camera device; acquiring first basic information of the first user through the comprehensive diagnosis and treatment system; acquiring a first analysis instruction, and analyzing the first image and the first basic information according to the first analysis instruction to acquire a first analysis result; obtaining first state grading information of the first user according to the first analysis result; matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets; obtaining a first evaluation instruction, and respectively evaluating the first user for the disturbance of consciousness through the first test set and the second test set according to the first evaluation instruction; obtaining first sound feedback and second image feedback in the consciousness disturbance assessment process, wherein the first sound feedback is patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is patient feedback images for performing consciousness disturbance assessment on the first user through the second test set; using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model to obtain a first output result; and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
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 a neurosurgical patient comprehensive diagnosis and treatment method, which is applied to a comprehensive diagnosis and treatment system that is communicatively connected with a first camera device, and the method includes:
step S100: obtaining a first image of a first user through the first camera device;
specifically, the comprehensive diagnosis and treatment system is a system capable of analyzing and evaluating the state of the first user, and the comprehensive diagnosis and treatment system is in communication connection with the first camera device, the first user is a patient with a certain neurosurgical disease, the neurosurgical disease includes but is not limited to craniocerebral trauma, cerebral hemorrhage, intracranial tumors, cerebral aneurysms, hydrocephalus, epilepsy and the like, the first camera device may be a monitoring device in a ward where the first user is located, or may be other devices with an imaging function, and the first camera device is used for obtaining the first image of the first user, so as to tamp a foundation for subsequently analyzing and evaluating the current state of the first user.
Step S200: acquiring first basic information of the first user through the comprehensive diagnosis and treatment system;
specifically, basic information of the first user is obtained according to the comprehensive diagnosis and treatment system, and the basic information includes physical state information, diseased information, operation conditions, operation schedule information, degree of disease deterioration, and the like of the first user. Further, under the condition that the first user or the family member of the first user permits, the comprehensive diagnosis and treatment system is used for networking to obtain the diagnosis and treatment related information of the first user in multiple hospitals, and the information is integrated and summarized to obtain the basic information of the first user.
Step S300: acquiring a first analysis instruction, and analyzing the first image and the first basic information according to the first analysis instruction to acquire a first analysis result;
step S400: obtaining first state grading information of the first user according to the first analysis result;
specifically, the first parsing instruction is an instruction for parsing the current state of the first user, and the parsing process includes, but is not limited to, analyzing the first image of the first user according to the basic information of the first user, evaluating the current physical state/physical function of the first user, and obtaining first state grading information where the current physical condition of the first user is located.
Step S500: matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets;
specifically, whether the first user has a basic condition for performing an consciousness disturbance test is determined according to the obtained first state classification information of the first user, and when the first state classification information of the first user can support performing a corresponding consciousness disturbance assessment test, a first test set and a second test set are matched according to the first state classification information of the first user, where the first test set and the second test set are different test sets, for example, the first test may be a sound/language test set, and the second test set may be an action test set.
Step S600: obtaining a first evaluation instruction, and respectively evaluating the first user for the disturbance of consciousness through the first test set and the second test set according to the first evaluation instruction;
step S700: obtaining first sound feedback and second image feedback in the consciousness disturbance assessment process, wherein the first sound feedback is patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is patient feedback images for performing consciousness disturbance assessment on the first user through the second test set;
specifically, a first evaluation instruction is obtained, and an assessment of disturbance of consciousness is performed on the first user according to the first evaluation instruction, wherein the assessment of disturbance of consciousness is performed on the first user according to the first test set and the second test set, wherein a first sound feedback and a second image feedback of the first user in a testing process are obtained, the first sound feedback is a sound feedback of the first user in the testing process of the first test set, and the second image feedback is an image feedback of the first user in the testing process of the second test set.
Step S800: using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model to obtain a first output result;
specifically, the first disturbance of consciousness analysis model is a model that can comprehensively analyze the first sound feedback and the second image feedback, and is obtained by training a large amount of case data. The large amount of case data comprises training the model through collected related sound feedback and image feedback, correcting the output result of the model according to the actual conditions of the patient fed back by the sound feedback and the image feedback, and further enabling the first consciousness disturbance analysis model to process the input information more accurately through the large amount of training cases, so that a more accurate output result can be obtained.
Step S900: and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
Specifically, a first output result of the first consciousness disturbance analysis model is obtained, the first output result includes a real-time assessment result of the consciousness disturbance of the first user at the current stage, and the real-time state of the first user is assessed according to the first output result, so that a first assessment result is obtained. The first evaluation result is used as basic information for subsequent diagnosis and treatment of the first user, so that the real-time state of the first user can be monitored and evaluated, the working intensity of nursing staff can be properly reduced, and the technical effect of improving the accuracy of judgment on the state of the first user is achieved.
Further, the embodiment of the present application further includes:
step S1010: constructing a first test database according to the first basic information;
step S1020: grading data according to the complexity of the test data in the first test database to obtain a first data grading result;
step S1030: matching the first data grading result according to the first state grading information to obtain a first test set;
step S1040: acquiring first body state information of the first user according to the first basic information;
step S1050: constructing a second test database according to the first body state information;
step S1060: grading the data according to the complexity of the test data in the second test database to obtain a second data grading result;
step S1070: matching the second data grading result according to the first state grading information to obtain a second test set;
step S1080: and evaluating the first user for disturbance of consciousness according to the first test set and the second test set.
Specifically, a first test database is constructed according to the basic information of the first user, wherein the first test database is a test database tailored for the first user, the database is a language test database, wherein the bottom data of the database comprises simple question and answer tests including but not limited to basic question and answer tests of who has a very well known name and where the house is, and other levels of data in the database comprise relatively complex question and answer reaction tests, namely test sets made according to the relation network of the first user and the culture level of the first user, data grading is performed according to the complexity of the question and answer data in the database relative to the first user to obtain a first data grading result, and data sets in the first test database suitable for the current state of the first user are matched according to the first state grading information of the first user, a first test set is obtained. Obtaining first body state information of the first user according to the basic information of the first user, namely the real-time body state of the first user, constructing a second test data set according to the first body state information of the first user, wherein the second test data set is an action test set constructed according to the real-time body state of the first user, actions in the action test set comprise simple actions which can be easily completed by the real-time body state evaluation result of the first user and complex actions which cannot be completed by evaluation, grading data in a second test database according to the complexity of the action data to obtain a second data grading result, matching the second data grading result according to the first state grading information to obtain a second test set matched with the first state grading, and performing consciousness assessment on the first user according to the first test set and the second test set, so that the assessment can be more accurate and quicker.
Further, in said evaluating an impairment of consciousness of said first user according to said first test set and said second test set, step S1080 in this embodiment of the present application further includes:
step S1081: obtaining second image feedback of the first user for a second test set test;
step S1082: obtaining a first completion degree of the first user according to the second image feedback, and taking the first completion degree as a first evaluation index;
step S1083: obtaining first completion time of the first user, and taking the first completion time as a second evaluation index;
step S1084: obtaining a first holding force of the first user when the second test set test is completed, and taking the first holding force as a third evaluation index;
step S1085: and evaluating the first user for disturbance of consciousness according to the first evaluation index, the second evaluation index and the third evaluation index.
Specifically, the second test set is a test set including an action test performed on the first user, and second image feedback is obtained through the first monitoring device according to performance of the first user in the second test set, where the second image feedback at least includes a second image and a third image, and both the second image and the third image record image shooting time in detail, and according to the third image and a test standard action of the second test set tested by the first user, a test completion evaluation result of the first user on the second test set, that is, a first completion of the first user, is obtained, and the first completion is used as a first evaluation index; the second image is an image of the first user starting to perform a second test set test, the third image is an image of the first user completing the second test set test, the time of the first user completing the second test set, namely the first completion time, is obtained according to the time recorded by the second image and the time recorded by the third image, and the first completion time is used as a second evaluation index of the first user; and obtaining holding strength information of the hand of the first user in the process of completing the second test set, wherein the holding strength information is obtained through a mechanical sensor installed on a cylindrical object, for example, when the test in the second test set is used as a fist, the cylindrical object containing the mechanical sensor is placed in the palm of the first user, the maximum holding strength data measured by the first user in the holding process is obtained according to the mechanical sensor and is recorded as a first holding strength, and the first holding strength is used as a third evaluation index. And evaluating the level of the disturbance of consciousness of the first user according to the first evaluation index, the second evaluation index and the third evaluation index.
Further, the embodiment of the present application further includes:
step S10851: obtaining a first weight and a second weight, wherein the first weight is the weight occupied by the first completion degree, the second weight is the weight occupied by the first completion time, and the sum of the first weight and the second weight is 1;
step S10852: performing weighted calculation on the first evaluation index according to the first weight to obtain a fourth evaluation index;
step S10853: performing weighted calculation on the second evaluation index according to the second weight to obtain a fifth evaluation index;
step S10854: and evaluating the first user for disturbance of consciousness according to the fourth evaluation index and the fifth evaluation index.
Specifically, the first weight and the second weight are respectively weights occupied by the first completion degree and the first completion time for the evaluation of the first user, the sum of the first weight and the second weight is 1, the first completion degree and the first completion time are subjected to weight value distribution according to the current basic state of the first user, the first evaluation index is subjected to weighted calculation according to the distribution result to obtain a fourth evaluation index of the first user, the second evaluation index is subjected to weighted calculation according to the weight distribution result to obtain a fifth evaluation index of the first user, and the first user is subjected to consciousness disturbance evaluation through the weighted fourth evaluation index and the fifth evaluation index.
Further, the embodiment of the present application further includes:
step S1110: obtaining a first breath acquisition instruction;
step S1120: carrying out timing breath collection on the first user according to the first breath collection instruction, and drawing a time-breath graph;
step S1130: obtaining a respiratory rhythm of the first user from the time-respiration map;
step S1140: obtaining a respiratory trend prediction result of the first user according to the time-respiratory map;
step S1150: and obtaining a first characteristic monitoring result of the first user according to the breathing rhythm and the breathing trend prediction result.
Specifically, a first respiration acquisition instruction is obtained, according to the first respiration acquisition instruction, a respiration acquisition device acquires and monitors the respiration of the first user in real time, and a real-time-respiration graph of the first user is drawn according to the acquired respiration data, wherein the time-respiration graph is a fluctuation graph of the respiration of the first user along with time, and a respiration rhythm of the first user is obtained according to the time-respiration graph of the first user, wherein the respiration rhythm is a rhythm of the time when the first user completes one breath and one breath, the respiration rhythm of a normal person is uniform and orderly, general respiration rhythms of users in pathological states are roughly divided into four types, namely tidal respiration, intermittent respiration, inhibitory respiration and sigh-like respiration. And carrying out further classification after preliminarily judging the breathing rhythm of the first user according to the time breathing diagram of the first user, namely obtaining the detailed classification level of the first user under the breathing rhythm, generally speaking, at least dividing the different breathing rhythm classifications into three types in detail. For example, when the breathing rhythm of the first user is determined to be intermittent breathing, the intermittent breathing further includes at least weak intermittent breathing, intermediate intermittent breathing, and strong intermittent breathing. And predicting the breathing trend of the first user according to the breathing trend of the time-breathing graph to obtain a breathing trend prediction result of the first user. And obtaining a sign monitoring result of the first user according to the respiratory rhythm and the result of the respiratory trend prediction.
Further, the embodiment of the present application further includes:
step S1151: acquiring first disease condition information of the first user according to the first basic information;
step S1152: obtaining a first respiration influence degree according to the first disease information;
step S1153: obtaining a first respiratory rhythm safety threshold of the first user according to the first respiratory influence degree;
step S1154: determining whether the respiratory rhythm meets the first respiratory rhythm safety threshold;
step S1155: when the breathing rhythm does not meet the first breathing rhythm safety threshold, obtaining a first early warning instruction;
step S1156: and early warning the real-time breathing state of the first user according to the first early warning instruction.
Specifically, the real-time disease information of the first user is obtained according to the basic information of the first user, and the influence condition of the respiratory rhythm of the first user is obtained according to the disease information of the first user. When the relation between the state of an illness of the first user and the breathing rhythm of the first user exceeds a preset threshold, obtaining a first breathing influence degree of the first user according to the state of the illness information of the first user, obtaining an upper limit value and a lower limit value of the breathing rhythm of the first user according to the first breathing influence degree, obtaining a first breathing rhythm interval according to the upper limit value and the lower limit value, taking the breathing rhythm interval as a first breathing rhythm safety threshold, judging whether the breathing rhythm of the first user meets the first breathing rhythm safety threshold, and when the breathing rhythm of the first user cannot meet the threshold, obtaining a first early warning instruction to early warn the real-time breathing state of the first user. And when the breathing rhythm variation trend of the first user is close to the upper limit value or the lower limit value of the threshold value, early warning is carried out on the breathing state of the first user so as to ensure the life safety of the first user.
Further, the embodiment of the present application further includes:
step S1157: obtaining a first disease stability evaluation result of the first user according to the first symptom monitoring result;
step S1158: and encrypting and storing the first illness state stability evaluation result.
Specifically, the stability of the real-time illness state of the first user is analyzed according to a first sign detection result of the first user, an evaluation result of the first illness state stability of the first user is obtained, and the result is stored. The storage is encrypted storage, and the storage may be blockchain-based storage, that is, obtaining a second disease stability assessment result and a third disease stability assessment result, and obtaining a first identification code according to the first stability assessment result, where the first identification code is a unique identification code for invoking the first stability assessment result, and obtaining a second identification code according to the first identification code and the second stability assessment result, where the second identification code is obtained by combining the first identification code and the second stability assessment result, and the second identification code is a unique identification code for invoking the second stability assessment result; and obtaining a third identification code according to the second identification code and the third stability evaluation result, wherein the third identification code is obtained through the second identification code and the third stability evaluation result set together, the third identification code is a unique identification code for calling the third stability evaluation result, the identification code set is stored, and the evaluation result is stored.
In summary, the neurosurgical patient comprehensive diagnosis and treatment method and system provided by the embodiment of the application have the following technical effects:
1. the method comprises the steps of obtaining a first image of a first user, obtaining first basic information of the first user, analyzing the first image and the first basic information according to a first analysis instruction to obtain a first analysis result, obtaining first state grading information of the first user according to the first analysis result, matching a first test set and a second test set through the first state grading information, evaluating the consciousness disturbance of the first user according to the first test set and the second test set, obtaining first sound feedback and second image feedback of the first user in the evaluation process, using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model, the method comprises the steps of obtaining a first output result, evaluating the real-time state of a first user according to the first output result to obtain a first evaluation result, using the first evaluation result as basic information of diagnosis and treatment of the first user, and tamping a basis for accurately analyzing and tamping the state of an illness of the first user, so that the technical effects of intelligently monitoring the user, reducing the working intensity of nursing staff and improving the state judgment accuracy of the first user are achieved.
2. Due to the adoption of the mode of carrying out consciousness assessment on the first user according to the first test set and the second test set, the assessment can be more accurate and quicker.
Example two
Based on the same inventive concept as the neurosurgical patient comprehensive diagnosis and treatment method in the foregoing embodiment, the present invention further provides a neurosurgical patient comprehensive diagnosis and treatment system, as shown in fig. 2, the system includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining a first image of a first user through a first camera device;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first basic information of the first user through an integrated medical system;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first parsing instruction, parse the first image and the first basic information according to the first parsing instruction, and obtain a first parsing result;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain first status rating information of the first user according to the first parsing result;
a first matching unit 15, where the first matching unit 15 is configured to match a first test set and a second test set according to the first status classification information, where the first test set and the second test set are different test sets;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain a first evaluation instruction, and perform disturbance of consciousness assessment on the first user through the first test set and the second test set according to the first evaluation instruction, respectively;
a sixth obtaining unit 17, configured to obtain a first sound feedback and a second image feedback in the consciousness disturbance assessment process, where the first sound feedback is a patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is a patient feedback image for performing consciousness disturbance assessment on the first user through the second test set;
a first input unit 18, where the first input unit 18 is configured to use the first test set and the first sound feedback as a first input set, use the second test set and the second image feedback as a second input set, and input the first input set and the second input set into a first mental disorder analysis model to obtain a first output result;
a first evaluation unit 19, where the first evaluation unit 19 is configured to evaluate the real-time status of the first user according to the first output result, and obtain a first evaluation result.
Further, the system further comprises:
the first construction unit is used for constructing a first test database according to the first basic information;
a seventh obtaining unit, configured to perform data classification according to the complexity of the test data in the first test database, and obtain a first data classification result;
an eighth obtaining unit, configured to match the first data classification result according to the first state classification information, and obtain a first test set;
a ninth obtaining unit, configured to obtain first body status information of the first user according to the first basic information;
the second construction unit is used for constructing a second test database according to the first body state information;
a tenth obtaining unit, configured to perform data classification according to the complexity of the test data in the second test database, and obtain a second data classification result;
an eleventh obtaining unit, configured to match the second data classification result according to the first status classification information, and obtain a second test set;
a second evaluation unit for performing an assessment of disturbance of consciousness for the first user in accordance with the first set of tests and the second set of tests.
Further, the system further comprises:
a twelfth obtaining unit, configured to obtain second image feedback of the first user on a second test set test;
a thirteenth obtaining unit, configured to obtain a first completion of the first user according to the second image feedback, and use the first completion as a first evaluation index;
a fourteenth obtaining unit, configured to obtain a first completion time of the first user, where the first completion time is used as a second evaluation index;
a fifteenth obtaining unit, configured to obtain a first holding strength of the first user when the second test set test is completed, and use the first holding strength as a third evaluation index;
a third evaluation unit configured to perform disturbance of consciousness assessment on the first user according to the first evaluation index, the second evaluation index, and the third evaluation index.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain a first weight and a second weight, where the first weight is a weight occupied by the first completion time, the second weight is a weight occupied by the first completion time, and a sum of the first weight and the second weight is 1;
a seventeenth obtaining unit, configured to perform weighted calculation on the first evaluation index according to the first weight to obtain a fourth evaluation index;
an eighteenth obtaining unit, configured to perform weighted calculation on the second evaluation index according to the second weight to obtain a fifth evaluation index;
a fourth evaluation unit configured to perform an assessment of disturbance of consciousness on the first user in accordance with the fourth evaluation index and the fifth evaluation index.
Further, the system further comprises:
a nineteenth obtaining unit, configured to obtain a first breath acquisition instruction;
the first acquisition unit is used for acquiring timed breath of the first user according to the first breath acquisition instruction and drawing a time-breath graph;
a twentieth obtaining unit for obtaining a respiratory rhythm of the first user from the time-respiration map;
a twenty-first obtaining unit, configured to obtain a prediction result of a breathing trend of the first user according to the time-breathing diagram;
a twenty-second obtaining unit to obtain a first personality monitoring result for the first user from the respiratory rhythm and the respiratory trend prediction result.
Further, the system further comprises:
a twenty-third obtaining unit, configured to obtain first disease information of the first user according to the first basic information;
a twenty-fourth obtaining unit, configured to obtain a first respiration influence degree according to the first condition information;
a twenty-fifth obtaining unit, configured to obtain a first respiratory rhythm safety threshold of the first user according to the first respiratory influence degree;
a first judging unit, configured to judge whether the respiratory rhythm meets the first respiratory rhythm safety threshold;
a twenty-sixth obtaining unit, configured to obtain a first warning instruction when the respiratory rhythm does not satisfy the first respiratory rhythm safety threshold;
the first early warning unit is used for early warning the real-time breathing state of the first user according to the first early warning instruction.
Further, the system further comprises:
a twenty-seventh obtaining unit, configured to obtain a first disease stability assessment result of the first user according to the first symptom monitoring result;
the first storage unit is used for encrypting and storing the first illness state stability evaluation result.
Various modifications and embodiments of a neurosurgical patient comprehensive diagnosis and treatment method in the first embodiment of fig. 1 are also applicable to the neurosurgical patient comprehensive diagnosis and treatment system in the present embodiment, and a person skilled in the art can clearly understand the implementation method of the neurosurgical patient comprehensive diagnosis and treatment system in the present embodiment through the foregoing detailed description of the neurosurgical patient comprehensive diagnosis and treatment method, so for the sake of brevity of the description, detailed description is not provided 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 a neurosurgical patient comprehensive diagnosis and treatment method in the foregoing embodiments, the present invention further provides a neurosurgical patient comprehensive diagnosis and treatment system, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the aforementioned neurosurgical patient comprehensive diagnosis and treatment methods.
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 a neurosurgical patient comprehensive diagnosis and treatment method, which is applied to a comprehensive diagnosis and treatment system, wherein the comprehensive diagnosis and treatment system is in communication connection with a first camera device, and the method comprises the following steps: obtaining a first image of a first user through the first camera device; acquiring first basic information of the first user through the comprehensive diagnosis and treatment system; acquiring a first analysis instruction, and analyzing the first image and the first basic information according to the first analysis instruction to acquire a first analysis result; obtaining first state grading information of the first user according to the first analysis result; matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets; obtaining a first evaluation instruction, and respectively evaluating the first user for the disturbance of consciousness through the first test set and the second test set according to the first evaluation instruction; obtaining first sound feedback and second image feedback in the consciousness disturbance assessment process, wherein the first sound feedback is patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is patient feedback images for performing consciousness disturbance assessment on the first user through the second test set; using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model to obtain a first output result; and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result. The technical problems that in the prior art, the working strength of nursing staff is high, and the state of a patient is judged inaccurately are solved, the intelligent monitoring of the patient is achieved, the working strength of the nursing staff is reduced, and the technical effect of the accuracy of the state judgment 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 (9)
1. A neurosurgical patient comprehensive diagnosis and treatment method, wherein the method is applied to a comprehensive diagnosis and treatment system which is in communication connection with a first camera device, and the method comprises the following steps:
obtaining a first image of a first user through the first camera device;
acquiring first basic information of the first user through the comprehensive diagnosis and treatment system;
acquiring a first analysis instruction, and analyzing the first image and the first basic information according to the first analysis instruction to acquire a first analysis result;
obtaining first state grading information of the first user according to the first analysis result;
matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets;
obtaining a first evaluation instruction, and respectively evaluating the first user for the disturbance of consciousness through the first test set and the second test set according to the first evaluation instruction;
obtaining first sound feedback and second image feedback in the consciousness disturbance assessment process, wherein the first sound feedback is patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is patient feedback images for performing consciousness disturbance assessment on the first user through the second test set;
using the first test set and the first sound feedback as a first input set, using the second test set and the second image feedback as a second input set, and inputting the first input set and the second input set into a first consciousness disturbance analysis model to obtain a first output result;
and evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
2. The method of claim 1, wherein the method further comprises:
constructing a first test database according to the first basic information;
grading data according to the complexity of the test data in the first test database to obtain a first data grading result;
matching the first data grading result according to the first state grading information to obtain a first test set;
acquiring first body state information of the first user according to the first basic information;
constructing a second test database according to the first body state information;
grading the data according to the complexity of the test data in the second test database to obtain a second data grading result;
matching the second data grading result according to the first state grading information to obtain a second test set;
and evaluating the first user for disturbance of consciousness according to the first test set and the second test set.
3. The method of claim 2, wherein said assessing disturbance of consciousness of said first user from said first set of tests and said second set of tests further comprises:
obtaining second image feedback of the first user for a second test set test;
obtaining a first completion degree of the first user according to the second image feedback, and taking the first completion degree as a first evaluation index;
obtaining first completion time of the first user, and taking the first completion time as a second evaluation index;
obtaining a first holding force of the first user when the second test set test is completed, and taking the first holding force as a third evaluation index;
and evaluating the first user for disturbance of consciousness according to the first evaluation index, the second evaluation index and the third evaluation index.
4. The method of claim 3, wherein the method further comprises:
obtaining a first weight and a second weight, wherein the first weight is the weight occupied by the first completion degree, the second weight is the weight occupied by the first completion time, and the sum of the first weight and the second weight is 1;
performing weighted calculation on the first evaluation index according to the first weight to obtain a fourth evaluation index;
performing weighted calculation on the second evaluation index according to the second weight to obtain a fifth evaluation index;
and evaluating the first user for disturbance of consciousness according to the fourth evaluation index and the fifth evaluation index.
5. The method of claim 1, wherein the method further comprises:
obtaining a first breath acquisition instruction;
carrying out timing breath collection on the first user according to the first breath collection instruction, and drawing a time-breath graph;
obtaining a respiratory rhythm of the first user from the time-respiration map;
obtaining a respiratory trend prediction result of the first user according to the time-respiratory map;
and obtaining a first characteristic monitoring result of the first user according to the breathing rhythm and the breathing trend prediction result.
6. The method of claim 5, wherein the method further comprises:
acquiring first disease condition information of the first user according to the first basic information;
obtaining a first respiration influence degree according to the first disease information;
obtaining a first respiratory rhythm safety threshold of the first user according to the first respiratory influence degree;
determining whether the respiratory rhythm meets the first respiratory rhythm safety threshold;
when the breathing rhythm does not meet the first breathing rhythm safety threshold, obtaining a first early warning instruction;
and early warning the real-time breathing state of the first user according to the first early warning instruction.
7. The method of claim 6, wherein the method further comprises:
obtaining a first disease stability evaluation result of the first user according to the first symptom monitoring result;
and encrypting and storing the first illness state stability evaluation result.
8. A neurosurgical patient complex diagnosis and treatment system, wherein the system comprises:
a first obtaining unit configured to obtain a first image of a first user by a first image pickup apparatus;
a second obtaining unit, configured to obtain first basic information of the first user through a comprehensive diagnosis and treatment system;
a third obtaining unit, configured to obtain a first parsing instruction, parse the first image and the first basic information according to the first parsing instruction, and obtain a first parsing result;
a fourth obtaining unit, configured to obtain first state ranking information of the first user according to the first parsing result;
the first matching unit is used for matching a first test set and a second test set according to the first state grading information, wherein the first test set and the second test set are different test sets;
a fifth obtaining unit, configured to obtain a first evaluation instruction, and perform disturbance of consciousness assessment on the first user through the first test set and the second test set according to the first evaluation instruction;
a sixth obtaining unit, configured to obtain a first sound feedback and a second image feedback in the consciousness disturbance assessment process, where the first sound feedback is a patient feedback sound for performing consciousness disturbance assessment on the first user through the first test set, and the second image feedback is a patient feedback image for performing consciousness disturbance assessment on the first user through the second test set;
a first input unit, configured to use the first test set and the first sound feedback as a first input set, use the second test set and the second image feedback as a second input set, and input the first input set and the second input set into a first mental disorder analysis model to obtain a first output result;
the first evaluation unit is used for evaluating the real-time state of the first user according to the first output result to obtain a first evaluation result.
9. A neurosurgical patient complex, 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 any one of claims 1-7 when executing the program.
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| CN202110234993.9A CN112768066A (en) | 2021-03-03 | 2021-03-03 | Neurosurgical patient comprehensive diagnosis and treatment method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116543873A (en) * | 2023-05-08 | 2023-08-04 | 浙江千蝶脑科学有限公司 | DOC evaluation and progress type consciousness rehabilitation guidance scheme decision-making system and platform based on AI |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116543873A (en) * | 2023-05-08 | 2023-08-04 | 浙江千蝶脑科学有限公司 | DOC evaluation and progress type consciousness rehabilitation guidance scheme decision-making system and platform based on AI |
| CN116543873B (en) * | 2023-05-08 | 2023-12-12 | 浙江千蝶脑科学有限公司 | DOC evaluation and progress type consciousness rehabilitation guidance scheme decision-making system and platform based on AI |
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Application publication date: 20210507 |