CN114831600A - Hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis - Google Patents

Abstract

The invention discloses a hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis, which comprises the following steps that dominant maculopapular expression characteristic points and recessive disease data expression characteristic points generated by a hand-foot-and-mouth disease patient are processed by a computer and are respectively substituted into a dominant pathogenic database and a recessive pathogenic database to establish a basic database; the method comprises the steps of detecting characteristic points of contact pressure pain feeling, red sickness and blister body wall thickness after the patient's maculopapular skin lesion is formed by contact pressure pain feeling reaction, papulopapuloid surface inflammatory dispersion expression and papulopapulopapulopapulopapuloid wall thickness characteristic data capture, namely detecting whether the contact pressure at the skin lesion generates pain feeling, whether inflammatory symptoms exist at the skin lesion and generates red sickness, whether the blister body has wall thickness and internal effusion, calculating the overlapping coincidence rate of the current characteristic data of the patient and data recorded in a dominant pathogen database and a recessive pathogen database in advance, and finally displaying the data in a report form to provide judgment reference for medical staff.

Description

Hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis

Technical Field

The invention relates to the technical field of disease condition identification, in particular to a hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis.

Background

The conventional diagnosis for hand-foot-and-mouth disease conventionally adopts the initial stage judgment on the skin rash display characteristics, the judgment mode can achieve good identification effect on typical skin lesion expression, but based on the identification and display of the pathogenic data of the hand-foot-and-mouth disease, the outward appearance symptoms of the hand-foot-and-mouth disease are not shown in the typical skin lesion expression, and the hand-foot-and-mouth disease also has more parts of atypical skin lesion expression. Therefore, a hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis is provided.

Disclosure of Invention

The invention mainly aims to provide a hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis.

In order to achieve the purpose, the invention adopts the technical scheme that:

the hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis comprises the following steps:

s1, respectively substituting dominant maculopapular expression characteristic points and recessive disease data expression characteristic points generated by a hand-foot-and-mouth disease patient into a dominant pathogen database and a recessive pathogen database through computer processing to establish a basic database;

s2, recording trigger thresholds of the dominant pathogen database and the recessive pathogen database in the processing module after the characteristic overlapping degree is reached;

s3, detecting the characteristic expression correspondingly generated by the patient according to the dominant and recessive expressions of the patient with the maculopapular skin damage, wherein the dominant symptom detection module captures the data of the contact pressure pain reaction, the papuloid surface inflammatory dispersion expression and the papulopapuloid wall thickness characteristic after the maculopapulopapuloid skin damage of the patient is formed, and the recessive symptom detection module captures the motion completion degree of the trunk of the patient after the maculopapulopapuloid skin damage is generated and provides a reference value for the subsequent characteristic comparison;

s4, substituting the detected current disease characteristic points of the patient into a dominant pathogen database or a recessive pathogen database to analyze the characteristic points according with the overlapping degree;

and S5, if the characteristic points captured by the dominant disease detection module or the invisible disease detection module of the current patient accord with the overlapping rate, the overlapping rate is analyzed and compared by the processor to reach a set threshold value, and then the overlapping rate result after completion is output to be used as the reference for the hand-foot-and-mouth disease identification.

The invention further improves that the overt disease detection module and the invisible disease detection module form a pathological characteristic detection area, and the patient acquires characteristic data through locating in the pathological characteristic detection area after skin damage form confirmation.

The invention further improves that the dominant disease detection module consists of a papulopapular contact pressure detection point, an inflammatory insurance detection point, a blister wall thickness expression detection point and a blister internal liquid storage detection point, and the papulotic contact pressure detection point, the inflammatory insurance detection point, the blister wall thickness expression detection point and the blister internal liquid storage detection point detect the extradermal expression of a diseased part of a patient after the papulopapuloid skin lesion of the patient is formed, namely whether the contact pressure of the skin lesion generates pain, whether inflammatory symptoms exist at the skin lesion to generate halation, whether the blister body has wall thickness and characteristic points generated by internal effusion, so as to obtain the comparison data for the overlapping degree of the characteristic points.

The invisible disease detection module comprises a sucking action forming detection point, a hand grasping action detection point and a limb shaking performance detection point, wherein the sucking action forming detection point is detected by the concurrent characteristic performance of a patient after skin lesions are generated, namely whether the patient can finish sucking action with normal force, hand grasping pressure action and whether the limb of the patient generates unconscious shaking after the concurrent action, and further secondary comparison data for the overlapping degree of the characteristic points is obtained.

In a further development of the invention, the patient is diagnosed with atypical papular lesions by a pathogen signature interrogation zone, whereby identification of the form of the lesion is made prior to detection by said overt condition detection module and said covert condition detection module.

The invention is further improved in that the processing module consists of a singlechip, a signal lead-in unit, a data storage unit and a data uploading unit, the coincidence rate of the current characteristic data of the patient and the data pre-recorded in the database is calculated, and the current characteristic data of the patient and the data pre-recorded in the database are transmitted to the storage unit through the uploading unit to reserve information points after reaching a set threshold value.

Compared with the prior art, the invention detects the characteristic expression correspondingly generated by the patient according to the dominant and recessive expressions of the patient with the maculopapular skin lesion, detects the contact pressure pain sensation reaction, the papulopapular surface inflammatory dispersion expression and the papulopapulopapuloid wall thickness characteristic data capture after the patient with the maculopapulopapulopapulopapuloid skin lesion is formed, namely detects whether the contact pressure of the skin lesion generates pain sensation, whether the skin lesion has inflammatory symptoms to generate halation, whether the vesicle body has wall thickness and the internal effusion to generate the characteristic points, further obtains the comparison data for the overlapping degree of the characteristic points, calculates the overlapping coincidence rate of the current characteristic data of the patient and the data pre-recorded in the dominant pathogen database and the recessive pathogen database, and transmits the data to the storage unit through the uploading unit for information point reservation after reaching the set threshold value, finally, the data is displayed in a report form to provide judgment reference for medical care personnel, so that misleading caused by similar characteristic information and complexity caused by basic judgment of instrument assay are reduced, and the aim of assisting a doctor in identifying and diagnosing is fulfilled.

Drawings

FIG. 1 is a flow chart of a hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis according to the present invention.

FIG. 2 is a schematic diagram of a dominant disease detection module and an invisible disease detection module in the hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis.

In the figure: 1. an overt condition detection module; 11. maculopapular palpation of the test point; 12. inflammatory insurance checkpoint; 13. bullous wall thickness manifestation checkpoint; 14. fluid retention checkpoints within the vesicle body; 2. an invisible disease detection module; 21. sucking action forms a detection point; 22. a hand grasping action detection point; 23. detecting points for limb shaking performance; 3. a dominant pathogen database; 4. a database of recessive pathogens; 5. a pathogenic characteristic interrogation zone; 6. and a processing module.

Detailed Description

The present invention will be further described with reference to the following detailed description, wherein the drawings are for illustrative purposes only and are not intended to be limiting, wherein certain elements may be omitted, enlarged or reduced in size, and are not intended to represent the actual dimensions of the product, so as to better illustrate the detailed description of the invention.

Referring to fig. 1-2, in the present embodiment, the hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis includes the following steps:

s1, respectively substituting dominant maculopapular expression characteristic points and recessive disease data expression characteristic points generated by a hand-foot-and-mouth disease patient into a dominant pathogen database 3 and a recessive pathogen database 4 through computer processing to establish a basic database; the dominant characteristic and the recessive characteristic data are substituted into a dominant pathogen database 3 and a recessive pathogen database 4 when the maculopapular skin lesion occurs in the hand-foot-and-mouth disease through pre-establishing the databases, wherein the data substituted into the dominant pathogen database 3 mainly indicate whether the touch pressure of the skin lesion generates pain, whether the skin lesion has inflammatory symptoms and generates halation, and whether the vesicle has wall thickness and internal effusion, and the data substituted into the recessive pathogen database 4 mainly indicates that after the skin lesion appears, whether the patient can finish the sucking action with conventional force, the hand grasping pressure action and whether the body of the patient generates unconscious shaking conditions, and then secondary comparison data for the overlapping degree of characteristic points is obtained.

S2, recording the trigger threshold value of the dominant pathogen database 3 and the recessive pathogen database 4 after the characteristic overlapping degree is reached in the processing module 6; the coincidence overlapping rate threshold value of the dominant and non-dominant characteristics of the current disease of the patient is recorded through the dominant pathogen database 3 and the recessive pathogen database 4, and after the dominant and non-dominant characteristic points of the current disease of the patient are detected and uploaded, the coincidence overlapping rate is calculated to exceed the set value, and then the uploading unit is triggered to store the information.

S3, detecting the characteristic expression correspondingly generated by the patient according to the dominant and recessive expressions of the patient with the maculopapular skin damage, wherein the dominant symptom detection module 1 captures the tactile pain reaction, the papuloid surface inflammatory dispersion expression and the papulopapuloid wall thickness characteristic data of the patient after the maculopapulopapuloid skin damage is formed, and the recessive symptom detection module 2 captures the trunk action completion degree of the patient after the maculopapulopapuloid skin damage is generated, so as to provide a reference value for subsequent characteristic comparison; because the maculopapular skin damage in the hand-foot-and-mouth disease is atypical, when external factors are detected, whether the skin damage of a patient is inflammatory or not is judged by capturing whether obvious pain response is generated when the patient is pressed at the skin damage and whether the external outline surface of the skin damage has a red halo or not so as to distinguish the skin damage from typical skin damage, and the invisible disease detection module 2 distinguishes whether the trunk response of the patient is in a normal state or not by distinguishing the body performance caused by non-viral infection after the inflammatory skin damage appears while distinguishing the inflammatory response.

S4, substituting the detected current disease characteristic points of the patient into a dominant pathogen database 3 or a recessive pathogen database 4 to carry out coincidence degree analysis on the characteristic points; after the dominant characteristic and the non-dominant characteristic expressed by the maculopapule are captured by the dominant disease detection module 1 and the invisible disease detection module 2, the captured data is substituted into the dominant pathogen database 3 and the recessive pathogen database 4, and the coincidence overlap degree between the current characteristic point of the captured patient and the pre-recorded characteristic point is analyzed by the processing module 6.

S5, if the characteristic points of the current patient captured by the dominant disease detection module 1 or the invisible disease detection module 2 meet the overlapping rate, the overlapping rate is analyzed and compared by the processor to reach a set threshold value, and then the overlapping rate result after completion is output to be used as the reference for hand-foot-and-mouth disease identification; after the characteristic points are captured and uploaded by the dominant disease detection module 1 and the invisible disease detection module 2, the processing module 6 analyzes and calculates the overlapping coincidence rate of the current characteristic data of the patient and the data pre-recorded in the dominant pathogen database and the recessive pathogen database, the data is recorded for data learning and storage after the achieved characteristic coincidence rate reaches a set threshold value, and the coincidence rate and the coincidence characteristic result which appear after the threshold value is reached are obtained at the same time, so that the reference for judging by medical personnel is provided to achieve the purpose of assisting in obtaining control of the disease condition in advance.

The patient is subjected to skin damage form confirmation and then carries out characteristic data acquisition through the pathological characteristic detection area; when the skin lesion form is confirmed to be the atypical maculopapule form after the inquiry, the pathological feature detection area is set to be used for detecting and capturing pathological features of the patient through the dominant disease detection module 1 and the invisible disease detection module 2, the contrast of feature points assists the doctor to judge and control the disease condition, and the subsequent judgment that more instrumental flow operations are carried out to reach the basic range is reduced.

The dominant disease detection module 1 consists of a papulopapular contact pressure detection point 11, an inflammatory insurance detection point 12, a blister wall thickness expression detection point 13 and a blister internal liquid storage detection point 14, and detects the extradermal expression of a diseased part of a patient after the papulopapuloid skin lesion of the patient is formed through the papulopapulotic contact pressure detection point 11, the inflammatory insurance detection point 12, the blister wall thickness expression detection point 13 and the blister internal liquid storage detection point 14, namely whether the contact pressure of the skin lesion generates pain, whether inflammatory symptoms exist at the skin lesion to generate areola, whether the blister body has wall thickness and internal effusion to generate characteristic points, so as to obtain comparison data for the overlapping degree of the characteristic points; because the existing atypical maculopapule has the non-dominant difference with the conventional skin lesion and is partially similar to the conventional skin lesion in performance, the medical staff cannot conveniently and individually remove the information in basic diagnosis and is easily misled by the similar information, in many cases, the basic discrimination is also required to be performed by more means such as blood sample data assay under the condition of low compliance, therefore, the characteristic points of the patient are detected by the dominant disease detection module 1, for example, when the skin lesion of the patient detected by the maculopapular touch pressure detection point 11 has obvious touch pressure pain reaction and the outline of the skin lesion has a red halo state, namely the skin lesion has inflammatory reaction, which is the characteristic of hand-foot-mouth disease in the maculopapular state, and in the presence of inflammation, and detecting whether the body wall thickness and the wall thickness of the blister at the skin lesion are formed due to the existence of the effusion, and uploading the numerical values after the detection.

The invisible disease detection module 2 comprises a sucking action forming detection point 21, a hand grasping action detection point 22 and a limb shaking performance detection point 23, the sucking action forming detection point 21 detects concurrent characteristic performance of a patient after skin lesions are generated, namely whether the patient can finish sucking action with conventional strength, hand grasping pressure action and whether the limb of the patient generates unconscious shaking after concurrence, and then secondary contrast data for the overlapping degree of characteristic points is obtained; after the detection of skin damage is finished through the dominant disease detection module 1, whether normal sucking can be finished by a patient, whether normal holding pressure can be achieved by hand holding and whether the trunk of the patient does not automatically control to shake are detected through the sucking action forming detection point 21 and the hand holding action detection point 22 so as to judge whether the patient generates non-dominant influence on the body due to the influence of virus, the data are captured and compared for the second time after the skin damage performance comparison is finished, the dual comparison of the appearance characteristic coincidence rate of the skin damage and the non-dominant body characteristic coincidence rate is finished, and the correction of the characteristic coincidence rate judgment accuracy is met by expanding the characteristic acquisition range point.

The diagnosis system also comprises a pathogen characteristic inquiry area 5 for diagnosing and determining whether the patient is the atypical maculopapular skin lesion, and the form of the skin lesion is confirmed by the pathogen characteristic inquiry area 5 before the detection of the dominant disease detection module 1 and the invisible disease detection module 2 is carried out; the pathogenic characteristic inquiry area 5 is used for doctors to primarily observe and diagnose the skin lesion of the patient, and guides the patient to carry out the detection process of the dominant disease detection module 1 and the invisible disease detection module 2 in the pathological characteristic detection area when the skin lesion of the patient is atypical maculopapular skin lesion.

The processing module 6 consists of a singlechip, a signal importing unit, a data storage unit and a data uploading unit, calculates the overlapping coincidence rate of the current characteristic data of the patient and data pre-recorded in a database, and transmits the current characteristic data of the patient to the storage unit through the uploading unit after reaching a set threshold value to reserve information points; after the characteristic information acquired by the dominant disease detection module 1 and the invisible disease detection module 2 is uploaded by the signal pouring unit, the coincidence rate of the acquired characteristic signals and the characteristic points pre-recorded in the dominant pathogen database 3 and the recessive pathogen database 4 is calculated by the single chip microcomputer, when the coincidence rate reaches a set threshold value, the information path data uploading unit is used for deep learning of subsequent datamation and is transmitted to the storage unit, and finally, the characteristic coincidence rate result is output to the medical staff for reference.

The working principle of the invention is as follows: firstly, a patient is positioned in a region 5 of a pathogenic characteristic interrogation zone, the patient is initially observed and diagnosed by a doctor in a skin lesion of the patient, when the skin lesion of the patient is atypical maculopapular skin lesion, the patient is guided to carry out a detection process of a dominant disease detection module 1 and an invisible disease detection module 2 in the pathological characteristic detection zone, a characteristic point of the patient is detected by the dominant disease detection module 1, for example, when the skin lesion of the patient detected by a maculopapular contact pressure detection point 11 has obvious contact pressure pain reaction and the outline of the skin lesion has a red halo state, namely the skin lesion has an inflammatory reaction, which is a hand-foot-mouth disease characteristic in the maculopapular state, and simultaneously, under the existence of inflammation, the body wall thickness and whether the wall thickness of the blister of the skin lesion are formed due to the existence of hydrops are detected, the numerical values are uploaded after the detection, and after the detection of the skin lesion is completed by the dominant disease detection module 1, detecting whether the patient can complete normal sucking, whether the hand grip can reach normal holding pressure and whether the patient does not shake due to self-control to judge whether the patient generates non-dominant influence on the body due to the influence of virus through the sucking action forming detection point 21 and the hand grip action detection point 22, uploading the acquired information, after the characteristic information collected by the dominant disease detection module 1 and the invisible disease detection module 2 is uploaded by a signal pouring unit, the coincidence rate of the collected characteristic signals and the characteristic points pre-recorded in the dominant pathogen database 3 and the recessive pathogen database 4 is calculated by the singlechip, when the coincidence rate reaches a set threshold value, the information path data uploading unit is transmitted to the storage unit for subsequent deep learning of datamation, and finally the characteristic coincidence rate result is output to the medical staff for reference.

The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (6)

1. Hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis is characterized by comprising the following steps:

s1, respectively substituting dominant maculopapular expression characteristic points and recessive disease data expression characteristic points generated by a hand-foot-and-mouth disease patient into a dominant pathogen database (3) and a recessive pathogen database (4) through computer processing to establish a basic database;

s2, recording the processing module (6) into a dominant pathogen database (3) and a recessive pathogen database (4) to obtain a trigger threshold value after the characteristic overlapping degree is reached;

s3, detecting the corresponding characteristic expression of the patient according to the dominant and recessive expressions of the patient with the maculopapular skin damage, wherein the dominant symptom detection module (1) captures the contact pressure pain reaction, the papuloid surface inflammatory dispersion expression and the papulopapuloid wall thickness characteristic data after the maculopapulopapuloid skin damage of the patient, and the recessive symptom detection module (2) captures the trunk action completion degree of the patient after the maculopapulopapuloid skin damage is generated, so as to provide a reference value for subsequent characteristic comparison;

s4, substituting the detected current disease characteristic points of the patient into a dominant pathogen database (3) or a recessive pathogen database (4) to analyze the coincidence degree of the characteristic points;

and S5, if the characteristic points of the current patient captured by the dominant disease detection module (1) or the invisible disease detection module (2) meet the overlapping rate, the overlapping rate is analyzed and compared by the processor to reach a set threshold value, and then the overlapping rate result after completion is output to be used as the reference for identifying the hand-foot-and-mouth disease.

2. The hand-foot-and-mouth disease recognition and control system based on pathogenic data recognition and analysis according to claim 1, wherein: the patient is subjected to characteristic data acquisition by being located in the pathological characteristic detection area after the skin lesion form confirmation.

3. The hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis according to claim 1, characterized in that: the dominant disease detection module (1) consists of a papular contact pressure detection point (11), an inflammatory insurance detection point (12), a blister wall thickness expression detection point (13) and a blister internal liquid storage detection point (14), wherein the papular contact pressure detection point (11), the inflammatory insurance detection point (12), the blister wall thickness expression detection point (13) and the blister internal liquid storage detection point (14) represent the external skin expression of a diseased part of a patient after the papular skin lesion of the patient is formed, namely whether the contact pressure of the skin lesion generates pain, whether inflammatory symptoms exist at the skin lesion to generate areola, whether the blister has wall thickness and whether internal effusion generates characteristic points to detect, and then comparative data for the overlapping degree of the characteristic points are obtained.

4. The hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis according to claim 1, characterized in that: the invisible disease detection module (2) comprises a sucking action forming detection point (21), a hand grasping action detection point (22) and a limb shaking performance detection point (23), the sucking action forming detection point (21) detects concurrent feature performance of patients after skin lesions are produced, namely whether the patients can finish sucking action with conventional strength, hand grasping pressure action and whether self limbs generate unconscious shaking conditions after concurrency, and then secondary contrast data for feature point overlapping degree are obtained.

5. The hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis according to claim 1, characterized in that: also comprises a pathogenic characteristic interrogation zone (5) for diagnosing and determining whether the patient is atypical maculopapular skin lesion, and confirmation of the form of skin lesion is carried out through the pathogenic characteristic interrogation zone (5) before detection of the dominant disorder detection module (1) and the invisible disorder detection module (2).

6. The hand-foot-and-mouth disease identification and control system based on pathogenic data identification and analysis according to claim 1, characterized in that: the processing module (6) consists of a singlechip, a signal lead-in unit, a data storage unit and a data uploading unit, calculates the overlapping coincidence rate of the current characteristic data of the patient and data pre-recorded in a database, and transmits the current characteristic data of the patient to the storage unit through the uploading unit to reserve information points after reaching a set threshold value.

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