A method for determining the status of drug dependent persons

Abstract

The present application relates to the field of medical care informatics, and in particular to a method for determining the state of a drug-dependent person. It includes: obtaining an infrared image of a preset body position of a drug-dependent person; obtaining an infrared norm deviation according to the infrared image and a norm database; obtaining the physical fitness deviation of the drug-dependent person, which is obtained according to the BMI index deviation, body fat rate deviation, vital capacity deviation, closed-eye one-leg standing time deviation, grip deviation and reaction time deviation; obtaining the mental health deviation of the drug-dependent person, which is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation; obtaining the overall deviation of the drug-dependent person according to the infrared norm deviation, physical fitness deviation and mental health deviation of the drug-dependent person, and then determining the state of the drug-dependent person. The present invention can determine the state of a drug-dependent person.

Description

Technical Field

[0001] The invention relates to the field of medical care informatics, and in particular to a method for determining the status of drug-dependent persons. Background Art

[0002] As the drug-dependent person's drug dependence time increases, the drug-dependent person's state may change, such as changes in physical health and mental health. There are few studies on the state assessment of drug-dependent persons in the prior art. Although some methods for assessing the state of drug-dependent persons are disclosed in the prior art, the methods for assessing the state of drug-dependent persons in the prior art have less data to rely on when assessing the state of drug-dependent persons, the assessment dimensions are not comprehensive, or the state of drug-dependent persons cannot be quantified, resulting in inaccurate results of the state assessment of drug-dependent persons. Summary of the invention

[0003] The present invention aims to provide a method for determining the status of a drug-dependent person, so as to determine the status of the drug-dependent person.

[0004] According to the present invention, a method for determining the status of a drug-dependent person is provided, the method comprising the following steps:

[0005] S100, obtaining an infrared image of a drug-dependent person in a preset body position.

[0006] S200, obtaining the infrared norm deviation of the drug dependent person based on the infrared image of the preset body position of the drug dependent person and a norm database; the norm database includes a plurality of norms, and the infrared norm deviation of the drug dependent person is obtained based on the physical deviation, symptom deviation and overall state deviation of the drug dependent person.

[0007] S300, obtaining the physical fitness deviation of the drug dependent person, wherein the physical fitness deviation of the drug dependent person is obtained according to the BMI index deviation, body fat percentage deviation, vital capacity deviation, one-leg standing time with eyes closed deviation, grip strength deviation and reaction time deviation of the drug dependent person.

[0008] S400, obtaining the mental health deviation of the drug-dependent person, wherein the mental health deviation of the drug-dependent person is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation of the drug-dependent person.

[0009] S500, obtaining the overall deviation of the drug-dependent person according to the infrared norm deviation, physical fitness deviation and mental health deviation of the drug-dependent person.

[0010] S600, determining the state of the drug dependent person according to the overall deviation of the drug dependent person.

[0011] Compared with the prior art, the present invention has at least the following beneficial effects:

[0012] The present invention obtains the infrared norm deviation of the drug-dependent person based on the infrared image of the preset body position of the drug-dependent person and the norm database, and also obtains the physical fitness deviation and psychological health deviation of the drug-dependent person, wherein the infrared norm deviation is obtained according to the physical fitness deviation, syndrome deviation and whole body state deviation of the drug-dependent person, the physical fitness deviation of the drug-dependent person is obtained according to the BMI index deviation, body fat rate deviation, vital capacity deviation, eye-closing single-leg standing time deviation, grip deviation and reaction time deviation of the drug-dependent person, and the psychological health deviation of the drug-dependent person is obtained according to the anxiety degree deviation, depression degree deviation, drug dependence degree deviation and psychological defense degree deviation of the drug-dependent person; the present invention determines the overall deviation of the drug-dependent person by combining the infrared norm deviation, physical fitness deviation and psychological health deviation, and determines the state of the drug-dependent person by using the overall deviation of the drug-dependent person; the present invention refers to more data when determining the state of the drug-dependent person, realizes the quantification of the state of the drug-dependent person, and can accurately determine the state of the drug-dependent person. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 This is a flow chart of a method for determining the status of a drug dependent person provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1:

[0017] According to this embodiment, a method for determining the status of a drug-dependent person is provided, the method comprising the following steps: Figure 1 As shown:

[0018] S100, obtaining an infrared image of a drug-dependent person in a preset body position.

[0019] Those skilled in the art are aware that any infrared image acquisition method in the prior art falls within the protection scope of the present invention.

[0020] As a specific implementation, the preset body positions include the whole body front position, the whole body back position, the hand raised front position, the hand raised back position, the chest front position, the chest back position, the whole body left side position, the whole body right side position, the face front position, the face back position, the side left position and the side right position. Thus, the temperature of each position of the body of the drug dependent person can be obtained.

[0021] S200, obtaining the infrared norm deviation of the drug dependent person based on the infrared image of the preset body position of the drug dependent person and a norm database; the norm database includes a plurality of norms, and the infrared norm deviation of the drug dependent person is obtained based on the physical deviation, symptom deviation and overall state deviation of the drug dependent person.

[0022] In this embodiment, the norm is a pre-established reference model, which is a model of a healthy human body; the temperature of each preset position corresponding to each norm is known, and the temperature of each preset position corresponding to each norm is obtained based on the corresponding infrared image, and the attributes of each norm include the gender, age, time and region when the infrared image is taken of the corresponding human body.

[0023] As a preferred specific implementation, S200 includes:

[0024] S201, obtaining the temperature T of the preset position of the drug dependent person according to the infrared image of the preset body position of the drug dependent person, where T=(T1, T2, ..., T i ,…,T n ), T i is the temperature of the i-th preset position of the drug dependent person, the value range of i is 1 to n, and n is the number of preset positions.

[0025] S202, selecting a norm matching the drug dependent person from a norm database according to the gender, age, time and region of the drug dependent person when the infrared image is taken.

[0026] In this embodiment, the normative database includes norms of different genders, different ages, different infrared images taken and regions. The norms matched with the drug-dependent persons are the norms in the normative database that are consistent with the gender, age, time and region when the infrared images are taken of the drug-dependent persons.

[0027] S203, obtaining a temperature range E of a preset position of a norm matching the drug dependent person, where E=(E1, E2, ..., E i ,…,E n ), E i is the temperature range of the i-th preset position of the norm matching the drug-dependent person, E i =[e i,1 ,e i,2 ],e i,1 For E i The corresponding lower limit, e i,2 For E i The corresponding upper limit value.

[0028] S204, traverse T and E, if T i Belong to E i , the i-th preset position of the drug dependent person is determined to be a normal position; otherwise, the i-th preset position of the drug dependent person is determined to be an abnormal position, and the temperature deviation f of the i-th preset position of the drug dependent person is obtained. i , when T i Less than e i,1 When f i =(T i -e i,1 ) / e i,1 When T i Greater than e i,2 When f i =(T i -e i,2 ) / e i,2 .

[0029] S205, judging the physical condition, physical condition deviation, syndrome and syndrome deviation of the drug dependent person according to the abnormal position of the drug dependent person and the corresponding temperature deviation.

[0030] As a preferred specific implementation, S205 includes:

[0031] S2051, obtaining the abnormal label sequence C of the drug dependent person according to the abnormal position of the drug dependent person, C = [c1, c2, ..., c i ,…,c n ], c i is the abnormal label of the i-th preset position of the drug dependent person. When the i-th preset position of the drug dependent person is a normal position, c i =0; when the i-th preset position of the drug dependent person is an abnormal position and the corresponding temperature deviation is less than 0, c i = -1; when the i-th preset position of the drug dependent person is an abnormal position and the corresponding temperature deviation is greater than 0, ci =1.

[0032] S2052, inputting C into the trained first neural network model to use the trained first neural network model to infer the constitution and symptoms of the drug-dependent person.

[0033] In this embodiment, the training process of the first neural network model includes: using training samples and corresponding labels to train the first neural network model to obtain a trained first neural network model; each training sample is an abnormal label sequence, and the label corresponding to each training sample includes the constitution and syndrome corresponding to the abnormal label sequence. Therefore, the trained first neural network model has the function of inferring the corresponding constitution and syndrome according to the input abnormal label sequence.

[0034] S2053, obtaining the abnormality level G of the preset associated position corresponding to the physical condition of the drug dependent person, G=(G1, G2, ..., G p ,…,G u ), G p is the abnormal degree of the preset associated position corresponding to the pth physical condition of the drug-dependent person, the value range of p is 1 to u, and u is the number of physical conditions corresponding to the drug-dependent person; G p =(g p,1 ,g p,2 ,…,g p,k(p) ,…,g p,v(p) ), g p,k(p) is the abnormality of the k(p)th preset associated position corresponding to the pth physique of the drug-dependent person, the value range of k(p) is 1 to v(p), and v(p) is the number of preset associated positions corresponding to the pth physique of the drug-dependent person; when the k(p)th preset associated position corresponding to the pth physique of the drug-dependent person is a normal position, g p,k(p) = 0; when the k(p)th preset associated position corresponding to the pth constitution of the drug-dependent person is an abnormal position, g p,k(p) It is the absolute value of the temperature deviation of the k(p)th preset associated position corresponding to the pth physique of the drug dependent person.

[0035] In this embodiment, the type of constitution is known, and each constitution corresponds to a number of preset associated positions. For example, the preset associated positions corresponding to the Qi deficiency constitution include the face, limbs and heart; the preset associated positions corresponding to the Yang deficiency constitution include the extremities and the digestive system.

[0036] S2054, will v(p) k(p)＝1 g p,k(p) / v(p) is determined as the physical deviation degree ε of the pth physical constitution of the drug-dependent person 1,p.

[0037] S2055, will u p＝1 ε 1,p Determine the physical deviation degree of the drug-dependent person.

[0038] S2056, obtaining the abnormality level H of the preset associated position corresponding to the symptom of the drug dependent person, H=(H1, H2, ..., H q ,…,H Q ), H q H is the abnormality degree of the preset associated position corresponding to the qth symptom of the drug-dependent person, the value range of q is 1 to Q, and Q is the number of symptoms corresponding to the drug-dependent person; q =(h q,1 ,h q,2 ,…,h q,b(q) ,…,h q,B(q) ), h q,b(q) is the abnormal degree of the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person, the value range of b(q) is 1 to B(q), B(q) is the number of preset associated positions corresponding to the qth symptom of the drug dependent person; when the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person is a normal position, h q,b(q) = 0; when the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person is an abnormal position, h q,b(q) It is the absolute value of the temperature deviation of the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person.

[0039] In this embodiment, the types of syndromes are known, and each syndrome corresponds to a number of preset associated positions. For example, the preset associated positions corresponding to the heart-kidney disharmony syndrome include the heart, kidneys, brain, ears, waist and knees; the preset associated positions corresponding to the spleen yang deficiency syndrome include the spleen and stomach, abdomen, and limbs.

[0040] S2057, will B(q) b(q)＝1 h q,b(q) / B(q) is determined as the syndrome deviation degree ε of the qth syndrome of the drug dependent person 2,q .

[0041] S2058, will Q q＝1 ε 2,q Determine the syndrome deviation degree of the drug dependent person.

[0042] S206, obtaining the whole body state deviation of the drug dependent person according to the temperature deviation corresponding to the abnormal position of the drug dependent person.

[0043] As a specific implementation, the absolute values ​​of the temperature deviations corresponding to all abnormal positions of the drug dependent person are summed, and the sum result is determined as the whole body state deviation of the drug dependent person.

[0044] As a specific implementation, S200 includes:

[0045] S210, obtaining the weight of the constitution deviation, the weight of the syndrome deviation and the weight of the whole body state deviation.

[0046] As an optional specific implementation manner, the weight of the constitution deviation, the weight of the syndrome deviation and the weight of the whole body state deviation are all empirical values.

[0047] As a preferred specific implementation, S210 includes:

[0048] S211, obtaining a first judgment matrix, the first judgment matrix is ​​a 3×3 matrix, and the first row of the first judgment matrix is ​​[a 11 ,a 12 ,a 13 ], a 11 is the importance of physical deviation compared to physical deviation, a 12 is the importance of constitution deviation compared to syndrome deviation, a 13 is the importance of physical deviation compared to the whole body state deviation; the second line of the first judgment matrix [a 21 ,a 22 ,a 23 ], a 21 is the importance of syndrome deviation compared to constitution deviation, a 22 is the importance of syndrome deviation compared to syndrome deviation, a 23 is the importance of the syndrome deviation compared to the whole body state deviation; the third line of the first judgment matrix [a 31 ,a 32 ,a 33 ], a 31 is the importance of the whole body state deviation compared to the physical condition deviation, a 32 is the importance of the whole body state deviation compared to the syndrome deviation, a 33 It is the importance of the whole body state deviation compared to the whole body state deviation.

[0049] As an optional specific implementation manner, the first judgment matrix is ​​constructed manually.

[0050] S212, obtaining the eigenvector W1 of the first judgment matrix, W1 = [β1, β2, β3] T, β1 is the first weight corresponding to W1, β2 is the second weight corresponding to W2, and β3 is the third weight corresponding to W3.

[0051] Those skilled in the art know that the method of obtaining a eigenvector based on a judgment matrix is ​​a prior art and will not be described in detail here.

[0052] S213, if the first judgment matrix passes the consistency test, β1 is determined as the weight of the constitution deviation, β2 is determined as the weight of the syndrome deviation, and β3 is determined as the weight of the whole body state deviation.

[0053] Those skilled in the art know that any consistency verification method in the prior art falls within the protection scope of the present invention.

[0054] In this embodiment, if the first judgment matrix fails the consistency check, the first judgment matrix is ​​updated, and the updated first judgment matrix is ​​checked again to see whether it passes the consistency check. If it passes, the weight of the constitution deviation, the weight of the syndrome deviation, and the weight of the whole body state deviation are determined based on the eigenvector of the updated first judgment matrix; if it fails, the first judgment matrix is ​​updated again and a consistency check is performed.

[0055] S220, obtaining the infrared norm deviation of the drug dependent person according to the weight of the physical deviation, the physical deviation of the drug dependent person, the weight of the symptom deviation, the symptom deviation of the drug dependent person, the weight of the whole body state deviation and the whole body state deviation of the drug dependent person.

[0056] As a specific implementation method, a weighted sum formula is used to obtain the infrared norm deviation of drug-dependent persons.

[0057] S300, obtaining the physical fitness deviation of the drug dependent person, wherein the physical fitness deviation of the drug dependent person is obtained according to the BMI index deviation, body fat percentage deviation, vital capacity deviation, one-leg standing time with eyes closed deviation, grip strength deviation and reaction time deviation of the drug dependent person.

[0058] As a specific implementation, S300 includes:

[0059] S310, obtaining the weight of BMI index deviation, the weight of body fat percentage deviation, the weight of vital capacity deviation, the weight of one-leg standing time with eyes closed deviation, the weight of grip strength deviation and the weight of reaction time deviation.

[0060] As an optional specific implementation manner, the weight of the BMI index deviation, the weight of the constitution deviation, the weight of the syndrome deviation and the weight of the overall state deviation are all empirical values.

[0061] As a preferred specific implementation, the weight of BMI index deviation, the weight of constitution deviation, the weight of syndrome deviation and the weight of whole body state deviation are obtained using hierarchical analysis method, see S211-S213.

[0062] S320, obtain the physical fitness deviation of the drug dependent person based on the weight of the BMI index deviation, the BMI index deviation of the drug dependent person, the weight of the body fat percentage deviation, the body fat percentage deviation of the drug dependent person, the weight of the vital capacity deviation, the vital capacity deviation of the drug dependent person, the weight of the deviation of the time of standing on one leg with eyes closed, the weight of the deviation of the time of standing on one leg with eyes closed of the drug dependent person, the weight of the grip strength deviation, the grip strength deviation of the drug dependent person, the weight of the reaction time deviation and the reaction time deviation of the drug dependent person.

[0063] As a specific implementation method, a weighted sum formula is used to obtain the physical fitness deviation of drug-dependent persons.

[0064] As a specific implementation method, the BMI index deviation of drug-dependent persons is obtained by the following method: obtain the weight of the drug-dependent person in kilograms with an accuracy of 0.1 kilograms; obtain the height of the drug-dependent person in centimeters with an accuracy of 0.1 centimeters; obtain the BMI index of the drug-dependent person as the weight of the drug-dependent person divided by the square of the height; obtain the difference between the BMI index of the drug-dependent person and the BMI index of the corresponding norm, and then determine the ratio of the absolute value of the difference to the BMI index of the norm as the BMI index deviation of the drug-dependent person. If the BMI index of the norm is a range [ran - 1,ran + 1], then when the BMI index of drug dependent people is less than ran - 1, the BMI index deviation of drug dependent people is ran - The difference between 1 and the BMI of drug dependent people divided by ran - 1. When the BMI index of drug dependent people is greater than ran + 1, the BMI index deviation of drug dependent people is ran + The difference between 1 and the BMI of drug dependent people divided by ran + 1; If the BMI index of drug dependent people is [ran - 1,ran + 1], the BMI deviation of drug-dependent persons is 0.

[0065] As a specific implementation, the body fat rate deviation of drug dependent persons is obtained by the following method: using a fat measuring meter to obtain the body fat rate of drug dependent persons; obtaining the difference between the body fat rate of drug dependent persons and the body fat rate of the corresponding norm, and then determining the ratio of the absolute value of the difference to the body fat rate of the norm as the body fat rate deviation of drug dependent persons. If the body fat rate of the norm is a range [ran - 2,ran + 2], then when the body fat percentage of drug dependent people is less than ran - At 2, the body fat percentage deviation of drug dependent people is ran - 2 and the difference in body fat percentage between drug dependent people and then divided by ran - 2. When the body fat percentage of drug dependent people is greater than ran + At 2, the body fat percentage deviation of drug dependent people is ran + 2 and the difference in body fat percentage between drug dependent people and then divided by ran + 2; If the body fat percentage of drug dependent people belongs to [ran - 2,ran + 2], the body fat percentage deviation of drug-dependent persons is 0.

[0066] As a specific implementation, the vital capacity deviation of the drug-dependent person is obtained by the following method: using a spirometer to obtain the vital capacity of the drug-dependent person; obtaining the difference between the vital capacity of the normative model corresponding to the drug-dependent person and the vital capacity of the drug-dependent person, and then determining the ratio of the difference to the vital capacity of the normative model as the vital capacity deviation of the drug-dependent person. When the vital capacity of the drug-dependent person is greater than or equal to the vital capacity of the corresponding normative model, the vital capacity deviation of the drug-dependent person is determined to be 0.

[0067] As a specific implementation, the deviation of the time duration of standing on one foot with eyes closed of a drug-dependent person is obtained by the following method: obtaining the time duration of standing on one foot with eyes closed of the drug-dependent person; obtaining the difference between the time duration of standing on one foot with eyes closed of the norm corresponding to the drug-dependent person and the time duration of standing on one foot with eyes closed of the drug-dependent person, and then determining the ratio of the difference to the time duration of standing on one foot with eyes closed of the norm as the deviation of the time duration of standing on one foot with eyes closed of the drug-dependent person. When the time duration of standing on one foot with eyes closed of the drug-dependent person is greater than or equal to the time duration of standing on one foot with eyes closed of the corresponding norm, the deviation of the time duration of standing on one foot with eyes closed of the drug-dependent person is determined to be 0.

[0068] As a specific implementation, the grip deviation of a drug-dependent person is obtained by the following method: obtaining the grip of the drug-dependent person; obtaining the difference between the grip of a normative model corresponding to the drug-dependent person and the grip of the drug-dependent person, and then determining the ratio of the difference to the grip of the normative model as the grip deviation of the drug-dependent person. When the grip of the drug-dependent person is greater than or equal to the grip of the corresponding normative model, the grip deviation of the drug-dependent person is determined to be 0.

[0069] As a specific implementation, the reaction time deviation of the drug-dependent person is obtained by the following method: obtaining the reaction time of the drug-dependent person; obtaining the difference between the reaction time of the drug-dependent person and the reaction time of the corresponding norm of the drug-dependent person, and then determining the ratio of the difference to the reaction time of the norm as the reaction time deviation of the drug-dependent person. When the reaction time of the drug-dependent person is less than or equal to the reaction time of the corresponding norm, the reaction time deviation of the drug-dependent person is determined to be 0.

[0070] Those skilled in the art are aware that any reaction time testing method in the prior art falls within the protection scope of the present invention.

[0071] S400, obtaining the mental health deviation of the drug-dependent person, wherein the mental health deviation of the drug-dependent person is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation of the drug-dependent person.

[0072] As a specific implementation, S400 includes:

[0073] S410, obtaining the weight of the deviation degree of anxiety, the weight of the deviation degree of depression, the weight of the deviation degree of drug dependence, and the weight of the deviation degree of psychological defense.

[0074] As an optional specific implementation, the weight of the deviation degree of anxiety, the weight of the deviation degree of depression, the weight of the deviation degree of drug dependence and the weight of the deviation degree of psychological defense are all empirical values.

[0075] As a preferred specific implementation, the weight of the anxiety degree deviation, the weight of the depression degree deviation, the weight of the drug dependence degree deviation and the weight of the psychological defense degree deviation are obtained using a hierarchical analysis method, see S211-S213.

[0076] S420, obtaining the mental health deviation of the drug dependent person according to the weight of the anxiety degree deviation, the anxiety degree deviation of the drug dependent person, the weight of the depression degree deviation, the depression degree deviation of the drug dependent person, the weight of the drug dependence degree deviation, the drug dependence degree deviation of the drug dependent person, the weight of the psychological defense degree deviation and the psychological defense degree deviation of the drug dependent person.

[0077] As a specific implementation method, a weighted sum formula is used to obtain the mental health deviation of drug-dependent persons.

[0078] As a specific implementation method, the anxiety level deviation of a drug-dependent person is obtained by the following method: the anxiety level score of the drug-dependent person is determined based on the answer results of the drug-dependent person to the anxiety self-rating scale, the higher the score, the more severe the anxiety level; the difference between the anxiety level score of the drug-dependent person and the anxiety level score of the corresponding norm is obtained, and the ratio of the difference to the maximum score of the anxiety self-rating scale is determined as the anxiety level deviation of the drug-dependent person; if the anxiety level score of the drug-dependent person is less than or equal to the anxiety level score of the corresponding norm, the anxiety level deviation of the drug-dependent person is determined to be 0.

[0079] As a specific implementation method, the depression level deviation of drug-dependent persons is obtained by the following method: the depression level score of the drug-dependent person is determined based on the answer results of the drug-dependent person to the self-rating depression scale, and the higher the score, the more severe the depression level; the difference between the depression level score of the drug-dependent person and the depression level score of the corresponding norm is obtained, and the ratio of the difference to the maximum score of the self-rating depression scale is determined as the depression level deviation of the drug-dependent person; if the depression level score of the drug-dependent person is less than or equal to the depression level score of the corresponding norm, the depression level deviation of the drug-dependent person is determined to be 0.

[0080] As a specific implementation method, the drug dependence degree deviation of a drug-dependent person is obtained by the following method: the drug dependence degree score of the drug-dependent person is determined based on the answer results of the drug-dependent person to the drug dependence self-assessment scale, and the higher the score, the more serious the drug dependence degree; the difference between the drug dependence degree score of the drug-dependent person and the drug dependence degree score of the corresponding norm is obtained, and the ratio of the difference to the maximum score of the drug dependence self-assessment scale is determined as the drug dependence degree deviation of the drug-dependent person; if the drug dependence degree score of the drug-dependent person is less than or equal to the drug dependence degree score of the corresponding norm, then the drug dependence degree deviation of the drug-dependent person is determined to be 0.

[0081] As a specific implementation method, the deviation of the psychological defense degree of drug dependent persons is obtained by the following method: the immature defense score, intermediate defense score and mature defense score of the drug dependent persons are determined according to the answers of the drug dependent persons to the psychological defense questionnaire, and the psychological defense degree score of the drug dependent persons is determined according to the immature defense score of the drug dependent persons, the intermediate defense score of the drug dependent persons and the mature defense score of the drug dependent persons, the higher the psychological defense degree score, the healthier the psychology; the difference between the psychological defense degree score of the norm corresponding to the drug dependent persons and the psychological defense degree score of the drug dependent persons is obtained, and the ratio of the difference to the maximum psychological defense degree score of the psychological defense questionnaire is determined as the deviation of the psychological defense degree of the drug dependent persons; if the psychological defense degree score of the drug dependent person is greater than or equal to the psychological defense degree score of the corresponding norm, the psychological defense degree deviation of the drug dependent person is determined to be 0.

[0082] S500, obtaining the overall deviation of the drug-dependent person according to the infrared norm deviation, physical fitness deviation and mental health deviation of the drug-dependent person.

[0083] As a specific implementation, S500 includes:

[0084] S510, obtaining the weight of the infrared norm deviation, the weight of the physical fitness deviation and the weight of the mental health deviation.

[0085] As an optional specific implementation manner, the weight of the infrared norm deviation, the weight of the physical fitness deviation and the weight of the mental health deviation are all empirical values.

[0086] As a preferred specific implementation manner, the weight of the infrared norm deviation, the weight of the physical fitness deviation and the weight of the mental health deviation are obtained using the hierarchical analysis method, see S211-S213.

[0087] S520, obtaining the overall deviation of the drug dependent person according to the weight of the infrared norm deviation, the infrared norm deviation of the drug dependent person, the weight of the physical fitness deviation, the physical fitness deviation of the drug dependent person, the weight of the mental health deviation and the mental health deviation of the drug dependent person.

[0088] As a specific implementation method, a weighted sum formula is used to obtain the overall deviation of drug-dependent persons.

[0089] S600, determining the state of the drug dependent person according to the overall deviation of the drug dependent person.

[0090] As a specific implementation, the overall deviation of the drug dependent person is used to determine the state of the drug dependent person. The larger the overall deviation of the drug dependent person, the worse the state of the drug dependent person; the smaller the overall deviation of the drug dependent person, the better the state of the drug dependent person.

[0091] This embodiment obtains the infrared norm deviation of the drug-dependent person based on the infrared image of the preset body position of the drug-dependent person and the norm database, and also obtains the physical fitness deviation and mental health deviation of the drug-dependent person, wherein the infrared norm deviation is obtained according to the physical fitness deviation, syndrome deviation and whole body state deviation of the drug-dependent person, the physical fitness deviation of the drug-dependent person is obtained according to the BMI index deviation, body fat rate deviation, vital capacity deviation, closed eyes one-legged standing time deviation, grip deviation and reaction time deviation of the drug-dependent person, and the mental health deviation of the drug-dependent person is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation of the drug-dependent person; this embodiment determines the overall deviation of the drug-dependent person in combination with the infrared norm deviation, physical fitness deviation and mental health deviation, and determines the state of the drug-dependent person by the overall deviation of the drug-dependent person; this embodiment refers to more data when determining the state of the drug-dependent person, and realizes the quantification of the state of the drug-dependent person, so as to accurately determine the state of the drug-dependent person.

[0092] Embodiment 2:

[0093] Based on the first embodiment, the second embodiment further outputs a list of audio data matching the drug-dependent person; specifically, compared with the first embodiment, the second embodiment further includes the following steps:

[0094] S10, inputting the physical constitution and symptom information of the drug-dependent person into the trained second neural network model, so as to use the trained second neural network model to infer an audio database matching the drug-dependent person; the physical constitution and symptom information of the drug-dependent person includes all the physical constitutions and all the symptoms of the drug-dependent person.

[0095] In this embodiment, all physical conditions of drug-dependent persons, the physical condition deviation corresponding to each physical condition, all syndromes and the syndrome deviation corresponding to each syndrome are obtained by the method in Embodiment 1, which will not be repeated here.

[0096] In this embodiment, the training method of the second neural network model includes:

[0097] S01, obtain a training sample set X; X = {x1, x2, ..., x z ,…,x R}, x zis the zth training sample, the value range of z is 1 to R, R is the number of training samples; x z Includes all physical constitutions and all syndromes of the human body corresponding to the zth training sample.

[0098] In this embodiment, the human body corresponding to each training sample includes several constitutions and several syndromes, and the number represents greater than or equal to 1.

[0099] S02, obtain the label set Y of the training samples; Y = {y1, y2, ..., y z ,…,y R},y z is the label of the zth training sample, y z Used to indicate the z The corresponding human body matching audio database.

[0100] In this embodiment, based on the constitution and symptoms of the human body corresponding to each training sample, the location where the corresponding human body has an abnormality can be determined, and based on the correspondence between the pre-established audio database and each location, a corresponding label can be marked for each training sample.

[0101] In this embodiment, a number of audio databases are pre-established, and each audio database stores a number of audio data; each preset audio database corresponds to an audio database ID, and different audio databases have different corresponding IDs. z The ID of the corresponding human body matching audio database is used as y z .

[0102] S03, using X and Y to train the second neural network to obtain a trained second neural network model.

[0103] In this embodiment, the training process of the second neural network model is a supervised training process. Those skilled in the art know that any supervised training process in the prior art falls within the protection scope of the present invention.

[0104] As an optional specific implementation, x z Only includes all the constitutions and all the syndromes of the human body corresponding to the zth training sample, x z =[x 1 z,1 ,x 2 z,1 ,…,x r1(z) z,1 ,…,x d1(z) z,1 ,x 1 z,2 ,x 2 z,2 ,…,x r2(z)z,2 ,…,x d2(z) z,2 ], x r1(z) z,1 is the r1(z)th physical constitution of the human body corresponding to the zth training sample, the value range of r1(z) is 1 to d1(z), d1(z) is the number of physical constitutions of the human body corresponding to the zth training sample; x r2(z) z,2 is the r2(z)th syndrome of the human body corresponding to the zth training sample. The value range of r2(z) is 1 to d2(z), and d2(z) is the number of syndromes of the human body corresponding to the zth training sample.

[0105] In this optional specific implementation, the matching audio database is determined only according to the human body's constitution and symptoms, that is, the label is determined only according to the human body's constitution and symptoms. For example, five databases are pre-established, namely, a spleen-nourishing audio database, a lung-nourishing audio database, a liver-nourishing audio database, a heart-nourishing audio database and a kidney-nourishing audio database. The spleen-nourishing audio database stores audio data that is beneficial to the spleen and stomach, the lung-nourishing audio database stores audio data that is beneficial to the lungs, the liver-nourishing audio database stores audio data that is beneficial to the liver, the heart-nourishing audio database stores audio data that is beneficial to the heart, and the kidney-nourishing audio database stores audio data that is beneficial to the kidneys.

[0106] As a preferred specific implementation, the physical constitution syndrome information of the drug-dependent person further includes the physical constitution deviation corresponding to each physical constitution of the drug-dependent person and the syndrome deviation corresponding to each syndrome; z It includes not only all the constitutions and all the syndromes of the human body corresponding to the zth training sample, but also the constitution deviation corresponding to each constitution and the syndrome deviation corresponding to each syndrome. z =[(x 1 z,1 ,D 1 z,1 ),(x 2 z,1 ,D 2 z,1 ),…,(x r1(z) z,1 ,D r1(z) z,1 ),…,(x d1(z) z,1 ,D d1(z) z,1 ),(x 1 z,2 ,D 1 z,2 ),(x 2 z,2 ,D 2z,2 ),…,(x r2(z) z,2 ,D r2(z) z,2 ),…,(x d2(z) z,2 ,D d2(z) z,2 )],x r1 (z) z,1 is the r1(z)th physical condition of the human body corresponding to the zth training sample, D r1(z) z,1 is the physical deviation of the r1(z)th physical constitution of the human body corresponding to the zth training sample, the value range of r1(z) is 1 to d1(z), d1(z) is the number of physical constitutions of the human body corresponding to the zth training sample; x r2(z) z,2 is the r2(z)th syndrome of the human body corresponding to the zth training sample, D r2(z) z,2 is the syndrome deviation of the r2(z)th syndrome of the human body corresponding to the zth training sample. The value range of r2(z) is 1 to d2(z), and d2(z) is the number of syndromes in the human body corresponding to the zth training sample.

[0107] In this preferred specific implementation, the matching audio database is determined not only according to the human body's constitution and symptoms, but also according to the constitution deviation and symptom deviation corresponding to the constitution; that is, the label is determined according to the human body's constitution, constitution deviation, symptoms and symptom deviation. For example, several spleen-nourishing audio databases, several lung-nourishing audio databases, several liver-nourishing audio databases, several heart-nourishing audio databases and several kidney-nourishing audio databases are pre-established, wherein the several spleen-nourishing audio databases store audio data acting on the spleen and stomach, and different spleen-nourishing audio databases include audio data with different effects on the spleen and stomach, and the same spleen-nourishing audio database includes audio data with similar effects on the spleen and stomach; the several lung-nourishing audio databases store audio data acting on the lungs, and different lung-nourishing audio databases include audio data with similar effects on the spleen and stomach. The data have different effects on the lungs, while the audio data included in the same lung-nourishing audio database have similar effects on the lungs; the several established liver-nourishing audio databases store audio data acting on the liver, different liver-nourishing audio databases include audio data with different effects on the liver, while the audio data included in the same liver-nourishing audio database have similar effects on the liver; the several established heart-nourishing audio databases store audio data acting on the heart, different heart-nourishing audio databases include audio data with different effects on the heart, while the audio data included in the same heart-nourishing audio database have similar effects on the heart; the several established kidney-nourishing audio databases store audio data acting on the kidneys, different kidney-nourishing audio databases include audio data with different effects on the kidneys, while the audio data included in the same kidney-nourishing audio database have similar effects on the kidneys.

[0108] S20, determining the audio list corresponding to the audio database matching the drug-dependent person as the audio data list matching the drug-dependent person.

[0109] In this embodiment, each audio database includes a number of audio data, and the audio list corresponding to the audio database is a list consisting of the names of the audio data included in the audio database.

[0110] Based on the above S10-S20, an audio data list matching the drug-dependent person can be output, and the names of the audio data included in the audio data list are the names of the audio data that are helpful for the drug-dependent person to improve his or her own condition.

[0111] As a specific implementation, a medicinal diet list and an exercise list matching the drug-dependent person are output according to the constitution and symptoms of the drug-dependent person; the medicinal diet list is a list composed of several medicinal diet names, and the exercise list is a list composed of several exercise names. The medicinal diet names included in the medicinal diet list matching the drug-dependent person are medicinal diet names that are beneficial for the drug-dependent person to improve his or her own condition, and the exercise names included in the exercise list matching the drug-dependent person are exercise names that are beneficial for the drug-dependent person to improve his or her own condition. In this specific implementation, a correspondence between each constitution and syndrome and the medicinal diet list and exercise list is pre-established, thereby, a medicinal diet list and exercise list matching the drug-dependent person can be output according to the constitution and syndrome of the drug-dependent person.

[0112] As a specific implementation, a list of medicinal diets and a list of exercises that match the drug-dependent person are output according to the constitution, constitution deviation, syndrome, and syndrome deviation of the drug-dependent person; the medicinal diet list is a list consisting of several medicinal diet names, and the exercise list is a list consisting of several exercise names. The names of medicinal diets included in the medicinal diet list that matches the drug-dependent person are names of medicinal diets that are beneficial for the drug-dependent person to improve his or her own state, and the names of exercises included in the exercise list that matches the drug-dependent person are names of exercises that are beneficial for the drug-dependent person to improve his or her own state. In this specific implementation, a correspondence between each constitution, constitution deviation, syndrome, and syndrome deviation and the medicinal diet list and exercise list is pre-established, thereby, a list of medicinal diets and a list of exercises that match the drug-dependent person can be output according to the constitution, constitution deviation, syndrome, and syndrome deviation of the drug-dependent person.

[0113] Although some specific embodiments of the present invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It will also be appreciated by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for determining the status of a drug-dependent person, characterized in that: The method comprises the following steps: S100, acquiring an infrared image of a drug-dependent person in a preset body position; S200, obtaining the infrared norm deviation of the drug-dependent person according to the infrared image of the preset body position of the drug-dependent person and a norm database; the norm database includes a plurality of norms, and the infrared norm deviation of the drug-dependent person is obtained according to the physical deviation, syndrome deviation and whole body state deviation of the drug-dependent person; S300, obtaining the physical fitness deviation of the drug dependent person, wherein the physical fitness deviation of the drug dependent person is obtained according to the BMI index deviation, body fat rate deviation, vital capacity deviation, eyes closed one-leg standing time deviation, grip strength deviation and reaction time deviation of the drug dependent person; S400, obtaining the mental health deviation of the drug-dependent person, wherein the mental health deviation of the drug-dependent person is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation of the drug-dependent person; S500, obtaining the overall deviation of the drug-dependent person according to the infrared norm deviation, physical fitness deviation and mental health deviation of the drug-dependent person; S600, determining the state of the drug dependent person according to the overall deviation of the drug dependent person; S200 includes: S201, obtaining the temperature T of the preset position of the drug-dependent person according to the infrared image of the preset body position of the drug-dependent person, where T=(T1, T2, ..., T i ,…,T n ), T i is the temperature of the i-th preset position of the drug dependent person, i ranges from 1 to n, and n is the number of preset positions; S202, selecting a norm matching the drug-dependent person from a norm database according to the gender, age, time and region of the drug-dependent person when the infrared image is taken; S203, obtaining a temperature range E of a preset position of a norm matching the drug dependent person, where E=(E1, E2, ..., E i ,…,E n ), E i is the temperature range of the i-th preset position of the norm matching the drug-dependent person, E i =[e i,1 ,e i,2 ],e i,1 For E i The corresponding lower limit, e i,2 For E i The corresponding upper limit value; S204, traverse T and E, if T i Belong to E i , the i-th preset position of the drug dependent person is determined to be a normal position; otherwise, the i-th preset position of the drug dependent person is determined to be an abnormal position, and the temperature deviation f of the i-th preset position of the drug dependent person is obtained. i , when T i Less than e i,1 When f i =(T i -e i,1 ) / e i,1 When T i Greater than e i,2 When f i =(T i -e i,2 ) / e i,2 ; S205, judging the physical condition, physical condition deviation, syndrome and syndrome deviation of the drug dependent person according to the abnormal position of the drug dependent person and the corresponding temperature deviation; S206, obtaining the whole body state deviation of the drug dependent person according to the temperature deviation corresponding to the abnormal position of the drug dependent person; S205 includes: S2051, obtaining the abnormal label sequence C of the drug dependent person according to the abnormal position of the drug dependent person, C=[c1,c2,…,c i ,…,c n ], c i is the abnormal label of the i-th preset position of the drug dependent person. When the i-th preset position of the drug dependent person is a normal position, c i =0; when the i-th preset position of the drug dependent person is an abnormal position and the corresponding temperature deviation is less than 0, c i =-1; when the i-th preset position of the drug dependent person is an abnormal position and the corresponding temperature deviation is greater than 0, c i =1; S2052, inputting C into the trained first neural network model to infer the constitution and symptoms of the drug dependent person using the trained first neural network model; S2053, obtaining the abnormality level G of the preset associated position corresponding to the physical condition of the drug dependent person, G=(G1, G2, ..., G p ,…,G u ), G p is the abnormal degree of the preset associated position corresponding to the pth physical condition of the drug-dependent person, the value range of p is 1 to u, and u is the number of physical conditions corresponding to the drug-dependent person; G p =(g p,1 ,g p,2 ,…,g p,k(p) ,…,g p,v(p) ), g p,k(p) is the abnormality of the k(p)th preset associated position corresponding to the pth physique of the drug-dependent person, the value range of k(p) is 1 to v(p), and v(p) is the number of preset associated positions corresponding to the pth physique of the drug-dependent person; when the k(p)th preset associated position corresponding to the pth physique of the drug-dependent person is a normal position, g p,k(p) = 0; when the k(p)th preset associated position corresponding to the pth constitution of the drug-dependent person is an abnormal position, g p,k(p) is the absolute value of the temperature deviation of the k(p)th preset associated position corresponding to the pth physical condition of the drug-dependent person; S2054, will v(p) k(p)=1 g p,k(p) / v(p) is determined as the physical deviation degree ε of the pth physical constitution of the drug-dependent person 1,p ; S2055, will u p=1 ε 1,p Determining the physical deviation of the drug-dependent person; S2056, obtaining the abnormality level H of the preset associated position corresponding to the symptom of the drug dependent person, H=(H1, H2, ..., H q ,…,H Q ), H q H is the abnormality degree of the preset associated position corresponding to the qth symptom of the drug-dependent person, the value range of q is 1 to Q, and Q is the number of symptoms corresponding to the drug-dependent person; q =(h q,1 ,h q,2 ,…,h q,b(q) ,…,h q,B(q) ), h q,b(q) is the abnormal degree of the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person, the value range of b(q) is 1 to B(q), B(q) is the number of preset associated positions corresponding to the qth symptom of the drug dependent person; when the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person is a normal position, h q,b(q) = 0; when the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person is an abnormal position, h q,b(q) is the absolute value of the temperature deviation of the b(q)th preset associated position corresponding to the qth symptom of the drug dependent person; S2057, will B(q) b(q)=1 h q,b(q) / B(q) is determined as the syndrome deviation degree ε of the qth syndrome of the drug dependent person 2,q ; S2058, will Q q=1 ε 2,q Determine the syndrome deviation degree of the drug dependent person.

2. The method for determining the status of a drug dependent person according to claim 1, characterized in that: S206 includes: summing up the absolute values ​​of the temperature deviations corresponding to all abnormal positions of the drug dependent person, and determining the summation result as the whole body state deviation of the drug dependent person.

3. The method for determining the status of a drug dependent person according to claim 1, characterized in that: S200 includes: S210, obtaining the weight of the constitution deviation, the weight of the syndrome deviation and the weight of the whole body state deviation; S220, obtaining the infrared norm deviation of the drug dependent person according to the weight of the physical deviation, the physical deviation of the drug dependent person, the weight of the symptom deviation, the symptom deviation of the drug dependent person, the weight of the whole body state deviation and the whole body state deviation of the drug dependent person.

4. The method for determining the status of a drug-dependent person according to claim 3, characterized in that: S210 includes: S211, obtaining a first judgment matrix, the first judgment matrix is ​​a 3×3 matrix, and the first row of the first judgment matrix is ​​[a 11 ,a 12 ,a 13 ], a 11 is the importance of physical deviation compared to physical deviation, a 12 is the importance of constitution deviation compared to syndrome deviation, a 13 is the importance of physical deviation compared to the whole body state deviation; the second line of the first judgment matrix [a 21 ,a 22 ,a 23 ], a 21 is the importance of syndrome deviation compared to constitution deviation, a 22 is the importance of syndrome deviation compared to syndrome deviation, a 23 is the importance of the syndrome deviation compared to the whole body state deviation; the third line of the first judgment matrix [a 31 ,a 32 ,a 33 ], a 31 is the importance of the whole body state deviation compared to the physical condition deviation, a 32 is the importance of the whole body state deviation compared to the syndrome deviation, a 33 is the importance of the whole body state deviation compared to the whole body state deviation; S212, obtaining the eigenvector W1 of the first judgment matrix, W1=[β1,β2,β3] T , β1 is the first weight corresponding to W1, β2 is the second weight corresponding to W2, and β3 is the third weight corresponding to W3; S213, if the first judgment matrix passes the consistency test, β1 is determined as the weight of the constitution deviation, β2 is determined as the weight of the syndrome deviation, and β3 is determined as the weight of the whole body state deviation.

5. The method for determining the status of a drug-dependent person according to claim 1, characterized in that: S300 includes: S310, obtaining a weight of a BMI index deviation, a weight of a body fat percentage deviation, a weight of a vital capacity deviation, a weight of a one-legged standing time with eyes closed deviation, a weight of a grip strength deviation, and a weight of a reaction time deviation; S320, obtain the physical fitness deviation of the drug dependent person based on the weight of the BMI index deviation, the BMI index deviation of the drug dependent person, the weight of the body fat percentage deviation, the body fat percentage deviation of the drug dependent person, the weight of the vital capacity deviation, the vital capacity deviation of the drug dependent person, the weight of the deviation of the time of standing on one leg with eyes closed, the weight of the deviation of the time of standing on one leg with eyes closed of the drug dependent person, the weight of the grip strength deviation, the grip strength deviation of the drug dependent person, the weight of the reaction time deviation and the reaction time deviation of the drug dependent person.

6. The method for determining the status of a drug-dependent person according to claim 1, characterized in that: S400 includes: S410, obtaining the weight of the deviation of the anxiety degree, the weight of the deviation of the depression degree, the weight of the deviation of the drug dependence degree, and the weight of the deviation of the psychological defense degree; S420, obtaining the mental health deviation of the drug dependent person according to the weight of the anxiety degree deviation, the anxiety degree deviation of the drug dependent person, the weight of the depression degree deviation, the depression degree deviation of the drug dependent person, the weight of the drug dependence degree deviation, the drug dependence degree deviation of the drug dependent person, the weight of the psychological defense degree deviation and the psychological defense degree deviation of the drug dependent person.

7. The method for determining the status of a drug-dependent person according to claim 1, characterized in that: S500 includes: S510, obtaining the weight of the infrared norm deviation, the weight of the physical fitness deviation, and the weight of the mental health deviation; S520, obtaining the overall deviation of the drug dependent person according to the weight of the infrared norm deviation, the infrared norm deviation of the drug dependent person, the weight of the physical fitness deviation, the physical fitness deviation of the drug dependent person, the weight of the mental health deviation and the mental health deviation of the drug dependent person.

8. The method for determining the status of a drug-dependent person according to claim 1, characterized in that: The preset body positions include overall front position, overall back position, hand-raising front position, hand-raising back position, chest front position, chest back position, overall left side position, overall right side position, face front position, face back position, side left position and side right position.

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