CN117079830A - Psychological health risk screening system assisted by big data - Google Patents

Psychological health risk screening system assisted by big data Download PDF

Info

Publication number
CN117079830A
CN117079830A CN202311322686.1A CN202311322686A CN117079830A CN 117079830 A CN117079830 A CN 117079830A CN 202311322686 A CN202311322686 A CN 202311322686A CN 117079830 A CN117079830 A CN 117079830A
Authority
CN
China
Prior art keywords
module
patient
state
electrically connected
data information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202311322686.1A
Other languages
Chinese (zh)
Other versions
CN117079830B (en
Inventor
黄晓雄
王谷龙
李宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Linghua Mathematical Technology Xiamen Information Technology Co ltd
Original Assignee
Linghua Mathematical Technology Xiamen Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Linghua Mathematical Technology Xiamen Information Technology Co ltd filed Critical Linghua Mathematical Technology Xiamen Information Technology Co ltd
Priority to CN202311322686.1A priority Critical patent/CN117079830B/en
Publication of CN117079830A publication Critical patent/CN117079830A/en
Application granted granted Critical
Publication of CN117079830B publication Critical patent/CN117079830B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Human Computer Interaction (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a psychological health risk screening system assisted by big data, which relates to the technical field of psychological health risk screening, and the technical scheme is as follows: the system comprises a patient data information storage module, a patient state inquiry module, a step-by-step interview module and a daily state acquisition module; the invention relates to a patient data information storage module which is used for storing relevant disease examination data of a hospital, and has the beneficial effects that: the invention can obtain the psychological state of the patient from the family members of the patient and the micro action of the patient.

Description

Psychological health risk screening system assisted by big data
Technical Field
The invention relates to the technical field of mental health risk screening, in particular to a mental health risk screening system assisted by big data.
Background
The mental health education is to use a psychological education method to cultivate good mental quality of students according to the physiological and psychological development rules of the students, promote the overall quality of the students to be improved comprehensively, and effectively and practically carry out mental health education on the students, so that the mental health education is a necessary requirement of modern education and a common urgent task faced by education workers in mass schools, and is especially important for current teenagers, especially college students;
the existing psychological health risk screening system only finds that the psychological health state of a patient is known through inquiry of the patient and the result of questionnaire investigation when in use, so that the psychological health risk level is judged, the psychological health state of the patient cannot be known according to the family members of the patient when in use, the psychological health state of the patient cannot be known through micro-action of the patient, and the psychological health risk level of the patient cannot be accurately known through inquiry and questionnaire investigation only, so that improvement is needed;
therefore, it is necessary to invent a mental health risk screening system using big data assistance.
Disclosure of Invention
Therefore, the invention provides a psychological health risk screening system assisted by big data, which aims to solve the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: a psychological health risk screening system assisted by big data comprises a patient data information storage module, a patient state inquiry module, a step-by-step interview module and a daily state acquisition module;
the patient data information storage module is used for storing relevant illness state test data of a hospital;
the patient state inquiry module is used for preliminarily judging the state of the patient;
the step-by-step interview module is used for interviewing talking with a patient so as to know the self life state of the patient;
the daily state acquisition module is used for carrying out interactive talking with family members of the patient so as to obtain whether the patient has abnormality in daily life;
the system comprises a patient state inquiry module, a patient self-help test module, a first-level summarizing module, a first-level grading module, a grading printing module, a face expression recording module, a limb action recording module, a second-level summarizing module, a data information storage module, an encryption transmission module, a contrast grading module, a grading printing module and a micro-motion capturing module, wherein the patient self-help test module is arranged at the output end of the patient state inquiry module, the first-level summarizing module and the daily-state acquisition module, the data information acquisition module is arranged at the output end of the patient data information storage module, the encryption transmission module and the second-level summarizing module are arranged at the output end of the data information acquisition module, the grading printing module is arranged at the output end of the contrast grading module;
the self-help test module of the patient is used for the patient to fill in questionnaires, and the filling content comprises a mental illness state table, a depression state table, an anxiety state table, a compulsive state table and a somatic state table;
the primary summarization module is used for summarizing results of queries, interviews and questionnaires of patients and conversation results with family members of the patients;
the micro-motion capturing module is used for capturing the facial expressions and limb motions of the patient;
the psychological state monitoring module is used for monitoring and recording the heart rate of the patient;
the detail record storage module is used for recording and storing the facial expressions and limb actions of the patient;
the secondary summarization module is used for summarizing the first summary result and the abnormal performance and heart rate result of the patient during the queried, interview and questionnaire period;
the data information acquisition module is used for calling the disease result compounded with the patient;
the encryption transmission module is used for transmitting the called information;
the comparison and grading module is used for comparing the second summary situation of the patient with the retrieved information and grading the second summary situation, so that the psychological health risk grade of the patient is obtained;
the grading printing module is used for printing the psychological health risk grade result of the patient.
Preferably, the patient self-help test module is electrically connected with the patient status inquiry module, and the primary summarization module is electrically connected with the patient status inquiry module, the patient self-help test module and the step-by-step interview module.
Preferably, the micro-motion capturing module and the psychological state monitoring module are electrically connected with the patient state inquiring module and the patient self-help testing module, and the detail record storage module is electrically connected with the micro-motion capturing module.
Preferably, the detail record storage module is electrically connected with the input end of the patient data information storage module, and the secondary summarizing module is electrically connected with the micro-motion capture module, the psychological state monitoring module, the primary summarizing module and the daily state acquisition module.
Preferably, the data information acquisition module is electrically connected with the patient data information storage module, and the encryption transmission module is electrically connected with the data information acquisition module.
Preferably, the comparison rating module is electrically connected with the secondary summarizing module and the encryption transmission module, and the grading printing module is electrically connected with the comparison rating module.
Preferably, the contrast rating module is electrically connected with the input end of the patient data information storage module.
Preferably, the micro-motion capturing module comprises a shell, a camera is fixedly embedded on one side of the shell, a net rack is fixedly connected to the bottom of the shell, an outer frame is fixedly connected to the shell, the net rack is positioned inside the outer frame, a first box body is arranged at the bottom of the outer frame, a bottom plate is fixedly connected to the bottom of the first box body, a moving rod is slidably embedded at the top of the first box body, the top end of the moving rod is fixedly connected with the bottom of the outer frame, the bottom end of the moving rod is positioned inside the first box body, a first piston is slidably arranged inside the first box body and is fixedly connected with the bottom end of the moving rod, a connecting plate is fixedly connected to the inner wall of the bottom of the outer frame, the top of the connecting plate is fixedly connected with the net rack, a motor is fixedly connected to one side of the connecting plate, a rotating shaft is fixedly connected with a first rotating shaft and penetrates through the connecting plate, the reciprocating screw is connected to one end of the rotating shaft and connected with the first rotating shaft through a one-way bearing, the supporting block is fixedly connected to the bottom of the net rack, one end of the reciprocating screw is connected with the supporting block, the inner wall of the bottom of the outer frame is fixedly connected with the second box, the second piston is slidably arranged in the second box, the sliding seat is arranged outside the reciprocating screw and connected with the reciprocating screw through a ball screw pair, a U-shaped rod is fixedly connected between the sliding seat and the second piston, the U-shaped rod penetrates through one side of the second box and is slidably connected with the second piston, a penetrating groove is formed in the moving rod and the first piston, a first pipeline is fixedly embedded in the other side of the second box, the bottom of the first pipeline penetrates through the bottom of the outer frame and extends to the inside of the penetrating groove, the first pipeline is fixedly connected with the outer frame, the first pipeline is externally provided with a one-way valve, the first pipeline is fixedly embedded with the second pipeline, the second pipeline is externally provided with a second one-way valve, the third pipeline is fixedly embedded in one side of the box body, and the third pipeline is externally provided with a switch valve;
the inner wall of the bottom of the net rack is fixedly connected with a first supporting rod and a second supporting rod, the top end of the second supporting rod extends into the shell, a second rotating shaft is embedded in the first supporting rod and the second supporting rod, a first fan blade is fixedly sleeved outside the second rotating shaft, a plurality of radiating fins are arranged on the front side and the rear side of the first rotating shaft, the top ends of the radiating fins penetrate through the bottom of the shell and are fixedly connected with the bottom of a camera, the radiating fins are fixedly connected with the shell, a third rotating shaft is embedded in the second supporting rod, one end of the third rotating shaft is connected with the inner wall of the other side of the shell, a second fan blade is sleeved outside the third rotating shaft, a plurality of first ventilation holes are formed in the other side of the shell, two second ventilation holes are formed in the top of the shell, a first sprocket is fixedly sleeved outside the third rotating shaft, a first sprocket is fixedly sleeved outside the second sprocket, a second sprocket is fixedly connected through a first chain, a second sprocket is sleeved outside the first sprocket penetrates through the bottom of the shell, a second sprocket is fixedly connected with the first sprocket is fixedly connected with the second sprocket through a one-way bearing, the second sprocket is fixedly connected with the first sprocket, and the second sprocket is fixedly connected with the second positioning block is fixedly connected with the first positioning block, and the two positioning blocks are fixedly arranged on the two sides of the two positioning blocks are fixedly arranged at the two sides of the bottom of the first positioning block are fixedly connected with the two positioning blocks;
the first rotating shaft is connected with the connecting plate through a bearing, the reciprocating screw rod is connected with the supporting block through a bearing, the second rotating shaft is connected with the first supporting rod and the second supporting rod through bearings, and the third rotating shaft is connected with the shell and the second supporting rod through bearings.
The beneficial effects of the invention are as follows:
the invention can obtain the daily life state of the patient from the family members of the patient by designing the daily state acquisition module, so that the patient can be informed of whether the patient has abnormal behaviors in daily life, and can obtain the facial expressions, limb actions and heart rates of the patient in the process of being inquired, interviewed and filling out questionnaires by designing the micro-action capture module and the psychological state monitoring module, so that the invention can know whether the psychological state of the patient is stable or not and whether abnormal performance occurs or not;
the invention can continuously inflate into the first box body through the forward rotation of the motor, so that the first piston and the moving rod can move upwards, the height of the camera can be changed, the micro-motion capturing work can be carried out on patients with different heights, the application range is wide, the first fan blade and the second fan blade can rotate through the reverse rotation of the motor, and the heat generated by the camera when the micro-motion capturing is carried away, so that the phenomenon of high temperature of the camera is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, proportional changes, or adjustments of size, which do not affect the efficacy of the invention or the objects achieved, should fall within the scope of the invention.
FIG. 1 is a schematic diagram of an overall system provided by the present invention;
FIG. 2 is a schematic diagram of a micro-motion capture module system according to the present invention;
FIG. 3 is a schematic diagram of a micro-motion capture module according to the present invention;
FIG. 4 is a cross-sectional view of FIG. 3 provided by the present invention;
FIG. 5 is an enlarged view of portion A of FIG. 4 provided by the present invention;
FIG. 6 is an enlarged view of portion B of FIG. 4 provided by the present invention;
FIG. 7 is an enlarged view of portion C of FIG. 4 in accordance with the present invention;
FIG. 8 is a side view of FIG. 3 provided by the present invention;
FIG. 9 is a perspective view of the heat dissipating fin, the second rotating shaft and the first fan blade shown in FIG. 3 according to the present invention;
in the figure: 1 patient data information storage module, 2 patient status query module, 3 step-by-step interview module, 4 daily status acquisition module, 5 patient self-help test module, 6 first-level summarization module, 7 micro action capture module, 8 mental status monitoring module, 9 detail record storage module, 10 second-level summarization module, 11 data information acquisition module, 12 encryption transmission module, 13 comparison rating module, 14 step printing module, 15 face expression recording module, 16 limb action recording module, 17 shell, 18 camera, 19 rack, 20 frame, 21 box one, 22 bottom plate, 23 movable rod, 24 piston one, 25 joint plate, 26 motor, 27 shaft one, 28 reciprocating screw, 29 supporting block, 30 box two, 31 piston two, 32 sliding seat, 33U rod, 34 pipeline one, 35 one-way valve two, 36 pipeline two, 37 one-way valve two, 38 pipeline three, 39 switch valve, 40 support rod one, 41 support rod two, 42 shaft two, 43 fan blade one, 44 heat dissipation fin, 45 shaft three, 46 fan blade two, 47 sprocket one, 49 two, 50 sprocket two, 52 positioning rod 51.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1-9, the invention provides a psychological health risk screening system assisted by big data, which comprises a patient data information storage module 1, a patient state inquiry module 2, a step-by-step interview module 3 and a daily state acquisition module 4;
a patient data information storage module 1 for storing hospital-related condition test data;
a patient state inquiry module 2 for preliminarily judging the state of the patient;
a step-by-step interview module 3 for interviewing a conversation with a patient to learn the patient's own state of life;
the daily state acquisition module 4 is used for carrying out interactive talking with family members of the patient so as to obtain whether the patient has abnormality in daily life;
the output end of the patient state inquiry module 2 is provided with a patient self-help test module 5, the output ends of the patient state inquiry module 2, the patient self-help test module 5 and the step-by-step interview module 3 are provided with a first-stage summarization module 6, the output ends of the patient state inquiry module 2 and the patient self-help test module 5 are provided with a micro-motion capture module 7 and a psychological state monitoring module 8, the output end of the micro-motion capture module 7 is provided with a detail record storage module 9, the output ends of the micro-motion capture module 7, the psychological state monitoring module 8, the first-stage summarization module 6 and the daily state acquisition module 4 are provided with a second-stage summarization module 10, the output end of the patient data information storage module 1 is provided with a data information acquisition module 11, the output end of the data information acquisition module 11 is provided with an encryption transmission module 12, the encryption transmission module 12 and the output end of the second-stage summarization module 10 are provided with a comparison rating module 13, the output end of the comparison rating module 13 is provided with a step printing module 14, and the micro-motion capture module 7 also comprises a facial expression recording module 15 and a limb motion recording module 16;
the self-help test module 5 is used for the patients to fill in questionnaires, and the filling content comprises a mental illness state table, a depression state table, an anxiety state table, a compulsive state table and a somatic state table;
a primary summarization module 6 for summarizing the results of the patient's queries, interviews and questionnaires and the results of conversations with the patient's family members;
the micro-motion capturing module 7 is used for capturing the facial expression and limb motion of a patient;
the psychological state monitoring module 8 is used for monitoring and recording the heart rate of the patient;
the detail record storage module 9 is used for recording and storing the facial expressions and limb actions of the patient;
a secondary summarization module 10 for summarizing the first summary results with the results of abnormal performance and heart rate of the patient during the interviews, interviews and questionnaires;
the data information acquisition module 11 is used for retrieving the disease result compounded with the patient;
an encryption transmission module 12 for transmitting the retrieved information;
the comparison and grading module 13 is used for comparing the second summary situation of the patient with the retrieved information and grading the second summary situation, so as to obtain the psychological health risk grade of the patient;
a hierarchical print module 14 for printing the mental health risk level results of the patient;
in this embodiment, the daily state obtaining module 4 is designed, so that the daily life state of the patient can be obtained from the family members of the patient, and thus, whether the patient has abnormal behaviors in daily life can be known, and the facial expressions, limb actions and heart rates of the patient can be obtained through the micro-action capturing module 7 and the psychological state monitoring module 8 in the process of being inquired, interviewed and filling out a questionnaire, so that whether the psychological state of the patient is stable or not and whether the abnormal behaviors occur can be known;
in order to achieve the purpose of normal operation of the system, the device is realized by adopting the following technical scheme: the system comprises a patient self-help test module 5, a first-level summarizing module 6, a patient state inquiring module 2, a patient self-help test module 5 and a gradual interview module 3, wherein the micro-action capturing module 7 and the psychological state monitoring module 8 are electrically connected with the patient state inquiring module 2 and the patient self-help test module 5, a detail record storage module 9 is electrically connected with the micro-action capturing module 7, the detail record storage module 9 is electrically connected with the input end of the patient data information storage module 1, a second-level summarizing module 10 is electrically connected with the micro-action capturing module 7, the psychological state monitoring module 8, the first-level summarizing module 6 and the daily state acquisition module 4, the data information acquisition module 11 is electrically connected with the patient data information storage module 1, the encryption transmission module 12 is electrically connected with the data information acquisition module 11, the comparison rating module 13 is electrically connected with the second-level summarizing module 10 and the encryption transmission module 12, the grading printing module 14 is electrically connected with the comparison rating module 13, the comparison rating module 13 is electrically connected with the input end of the patient data information storage module 1, and the normal operation of the system can be ensured through the electrical connection between the modules;
in order to achieve the purpose of height adjustment, the device is achieved by adopting the following technical scheme: the micro motion capture module 7 comprises a shell 17, a camera 18 is fixedly embedded on one side of the shell 17, a net rack 19 is fixedly connected to the bottom of the shell 17, an outer frame 20 is fixedly connected to the shell 17, the net rack 19 is positioned in the outer frame 20, a first box body 21 is arranged at the bottom of the outer frame 20, a bottom plate 22 is fixedly connected to the bottom of the first box body 21, a moving rod 23 is slidably embedded at the top of the first box body 21, the top end of the moving rod 23 is fixedly connected with the bottom of the outer frame 20, a first piston 24 is slidably arranged in the first box body 21 and is fixedly connected with the bottom end of the moving rod 23, a connecting plate 25 is fixedly connected to the inner wall of the bottom of the outer frame 20, the top of the connecting plate 25 is fixedly connected with the net rack 19, a motor 26 is fixedly connected to one side of the connecting plate 25, a first rotating shaft 27 is fixedly connected to the output shaft of the motor 26, the first rotating shaft 27 penetrates through the connecting plate 25, one end of the first rotating shaft 27 is connected with a reciprocating screw 28, the reciprocating screw 28 is connected with the first rotating shaft 27 through a one-way bearing, the bottom of the net rack 19 is fixedly connected with a supporting block 29, one end of the reciprocating screw 28 is connected with the supporting block 29, the inner wall of the bottom of the outer frame 20 is fixedly connected with a second box 30, a piston II 31 is slidably arranged inside the second box 30, a sliding seat 32 is arranged outside the reciprocating screw 28, the sliding seat 32 is connected with the reciprocating screw 28 through a ball screw pair, a U-shaped rod 33 is fixedly connected between the sliding seat 32 and the piston II 31, the U-shaped rod 33 penetrates one side of the second box 30 and is slidably connected with the same, a penetrating groove is formed between the moving rod 23 and the inner part of the first piston 24, a first pipeline 34 is fixedly embedded on the other side of the second box 30, the bottom end of the first pipeline 34 penetrates the bottom of the outer frame 20 and extends to the penetrating groove, the first pipeline 34 is fixedly connected with the outer frame 20, a one-way valve 35 is arranged outside the first pipeline 34, a second pipeline 36 is fixedly embedded on the first pipeline 34, the two-way valve 37 is arranged outside the second pipeline 36, the three-way pipeline 38 is fixedly embedded at one side of the first box body 21, the switch valve 39 is arranged outside the third pipeline 38, and the motor 26 can continuously charge air into the first box body 21 in a forward rotation manner, so that the first piston 24 and the movable rod 23 can move upwards, the height of the camera 18 can be changed, and thus, the micro-motion capturing work can be carried out on patients with different heights, and the application range is wide;
in order to achieve the purpose of heat dissipation, the device is achieved by adopting the following technical scheme: the inner wall of the bottom of the net rack 19 is fixedly connected with a first supporting rod 40 and a second supporting rod 41, the top end of the second supporting rod 41 extends into the shell 17, a second rotating shaft 42 is embedded in the first supporting rod 40 and the second supporting rod 41, a first fan blade 43 is fixedly sleeved outside the second rotating shaft 42, a plurality of radiating fins 44 are arranged on the front side and the rear side of the second rotating shaft 42, the top ends of the radiating fins 44 penetrate through the bottom of the shell 17 and are fixedly connected with the bottom of the camera 18, the radiating fins 44 are fixedly connected with the shell 17, a third rotating shaft 45 is embedded in the second supporting rod 41, one end of the third rotating shaft 45 is connected with the inner wall of the other side of the shell 17, a second fan blade 46 is sleeved outside the third rotating shaft 45, a plurality of first ventilation holes are formed in the other side of the shell 17, two second ventilation holes are formed in the top of the shell 17, a first sprocket 47 is fixedly sleeved outside the third rotating shaft 45 and the second rotating shaft 42, a first chain 48 is sleeved outside the two sprockets 47, the two first chain wheels 47 are in driving connection through a first chain wheel 48, the first chain wheel 48 penetrates through the bottom of the shell 17, the outer part of the second rotating shaft 42 and the outer part of the first rotating shaft 27 are sleeved with second chain wheels 49, one of the second chain wheels 49 is connected with the second rotating shaft 42 through a one-way bearing, the other of the second chain wheels 49 is fixedly connected with the first rotating shaft 27, the outer parts of the two second chain wheels 49 are sleeved with second chain wheels 50, the two second chain wheels 49 are in driving connection through the second chain wheels 50, positioning blocks 51 are fixedly connected to the front side and the rear side of the first box body 21, positioning rods 52 are slidably embedded in the two positioning blocks 51, the two positioning rods 52 are fixedly connected to the bottom of the outer frame 20, and the fan blade one 43 and the fan blade two 46 can rotate due to the inversion of the motor 26, so that heat generated when the camera 18 is captured by micro motion is taken away, and the phenomenon of high temperature of the camera 18 is avoided;
in order to achieve the purpose of reducing abrasion, the device is realized by adopting the following technical scheme: the first rotating shaft 27 is connected with the connecting plate 25 through a bearing, the reciprocating screw 28 is connected with the supporting block 29 through a bearing, the second rotating shaft 42 is connected with the first supporting rod 40 and the second supporting rod 41 through a bearing, the third rotating shaft 45 is connected with the shell 17 and the second supporting rod 41 through a bearing, and abrasion can be reduced through bearing connection.
The application process of the invention is as follows: when the psychological health risk level of the patient needs to be judged, the basic information of the patient can be inquired through the patient state inquiring module 2 so as to preliminarily judge the state of the patient, then the interview with the patient can be conducted under the design of the step-by-step interview module 3 so as to know the self living state of the patient, whether the patient is abnormal in daily life or not can be obtained through the family members of the patient in the interview process through the daily state obtaining module 4, when the interview with the patient is finished, the patient can conduct questionnaire through the patient self-help testing module 5 so as to obtain information of mental illness state, depression state, anxiety state, forced state, physical state and the like, then the inquiry, interview and interview results of the patient and the interview-by-step family member results of the patient can be summarized through the first-step summarizing module 6, wherein the face, expression and heart rate of the patient can be obtained through the design of the micro-motion capturing module 7 and the psychological state monitoring module 8 in the interview process, and the abnormal heart rate of the patient can be summarized by the second-step summarizing module 10;
the data information acquisition module 11 can be used for acquiring the illness state result similar to the patient from the patient data information storage module 1, the encryption transmission module 12 is used for transmitting the acquired information, the comparison and grading module 13 is used for comparing the second summary condition of the patient with the acquired information and grading the acquired information after the transmission, so that the psychological health risk grade of the patient is obtained, and finally the grading printing module 14 is used for printing the psychological health risk grade result of the patient, so that the psychological health risk grade of the patient can be obtained.
The detail record storage module 9 can store the information captured by the micro-motion capture module 7 and then transmit the information to the patient data information storage module 1 for storage;
the camera 18 works for a long time when capturing the facial expression and limb movement of a patient by the micro-motion capturing module 7, so that a large amount of heat is generated, the heat generated by the camera 18 can be absorbed by the heat radiating fins 44, heat radiation is realized, the motor 26 is controlled to rotate reversely, the first rotating shaft 27 can rotate, the first reciprocating screw 28 is connected with the first rotating shaft 27 through a one-way bearing, so that the first reciprocating screw 28 does not rotate when the motor 26 rotates reversely, the first rotating shaft 27 rotates to drive the second sprocket 49 below the rotating shaft 27 to rotate, the second sprocket 49 above the rotating shaft 49 below the rotating shaft 50 rotates to drive the second sprocket 49 above the rotating shaft, the second rotating shaft 42 rotates to drive the first fan blade 43 to rotate, the first fan blade 43 rotates to blow the heat radiating fins 44, the air flow rate between the heat radiating fins 44 can be accelerated, the heat radiation efficiency can be accelerated, the first rotating shaft 42 rotates to drive the first rotating shaft 48, the third rotating shaft 45 and the second fan blade 46 rotate, and then the first fan blade 17 can rotate under the action of the first and the second vent holes are accelerated, and the second fan blade 46 can be designed to realize high heat radiation flow rate through the first fan blade 18;
the heights of each patient are different, the height of the camera 18 is required to be adjusted according to the heights of the patients, the motor 26 is controlled to rotate positively during adjustment, the reciprocating screw 28 can rotate, the second rotating shaft 42 does not rotate when the motor 26 rotates positively because the second sprocket 49 on the second rotating shaft 42 is connected with the motor through the one-way bearing, the sliding seat 32 and the U-shaped rod 33 can be continuously moved left and right by the rotation of the reciprocating screw 28, the second piston 31 can be moved left and right, the outside air can be supplied to the second box 30 under the action of the second pipeline 36 and the second one-way valve 37 when the second piston moves rightwards, when moving leftwards, the air in the second box body 30 can enter the first box body 21 through the through groove under the action of the first pipeline 34 and the first check valve 35, so that the air can be continuously filled into the first box body 21 through circulation, the first piston 24 and the moving rod 23 can be moved upwards, the height of the camera 18 can be increased, micro-motion capturing work can be carried out on patients with different heights, when the patients need to be lowered, only the switch valve 39 is opened, and then the air in the first box body 21 can be discharged through the third pipeline 38 by pressing the housing 17 downwards, so that the height can be lowered.
The above description is only of the preferred embodiments of the present invention, and any person skilled in the art may modify the present invention or make modifications to the present invention equivalent thereto using the technical solutions described above. Therefore, any simple modification or equivalent made according to the technical solution of the present invention falls within the scope of the protection claimed by the present invention.

Claims (7)

1. A mental health risk screening system assisted by big data, characterized in that: comprises a patient data information storage module (1), a patient state inquiry module (2), a step-by-step interview module (3) and a daily state acquisition module (4);
the patient data information storage module (1) is used for storing hospital related disease examination data;
the patient state inquiry module (2) is used for preliminarily judging the state of the patient;
the step-by-step interview module (3) is used for interviewing and talking with the patient so as to know the self life state of the patient;
the daily state acquisition module (4) is used for carrying out interactive talking with family members of the patient so as to obtain whether the patient has abnormality in daily life;
the system comprises a patient state inquiry module (2), a first-level summarizing module (6), a micro-motion capturing module (7) and a psychological state monitoring module (8), a detail record storage module (9) and a hierarchical printing module (14) are arranged at the output end of the micro-motion capturing module (7), a second-level summarizing module (10) is arranged at the output end of the micro-motion capturing module (7), a data information acquisition module (11) is arranged at the output end of the patient state inquiry module (2), the output end of the patient self-help testing module (5) and the output end of the step-by-step interview module (3), an encryption transmission module (12) is arranged at the output end of the data information acquisition module (11), a contrast rating module (13) is arranged at the output end of the encryption transmission module (12) and the output end of the second-level summarizing module (10), and a hierarchical printing module (14) is arranged at the output end of the contrast module (13), and the micro-motion recording module (7) further comprises a limb motion record module (16) and a limb motion record module (15);
the self-help test module (5) is used for the patients to fill in questionnaires, and the filling content comprises a mental illness state table, a depression state table, an anxiety state table, a compulsive state table and a somatic state table;
the primary summarization module (6) is used for summarizing results of inquiry, interview and questionnaire of patients and conversation results with family members of the patients;
the micro-motion capturing module (7) is used for capturing the facial expression and limb motion of a patient;
the psychological state monitoring module (8) is used for monitoring and recording the heart rate of the patient;
the detail record storage module (9) is used for recording and storing the facial expressions and limb actions of the patient;
the secondary summarization module (10) is used for summarizing the first summary result and the abnormal performance and heart rate result of the patient during the inquired, interview and questionnaire;
the data information acquisition module (11) is used for acquiring a disease result compounded with a patient;
the encryption transmission module (12) is used for transmitting the called information;
the comparison and grading module (13) is used for comparing the second summary situation of the patient with the retrieved information and grading the second summary situation, so that the psychological health risk grade of the patient is obtained;
the grading printing module (14) is used for printing psychological health risk grade results of the patient.
2. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the self-help patient testing module (5) is electrically connected with the patient state inquiring module (2), and the primary summarizing module (6) is electrically connected with the patient state inquiring module (2), the self-help patient testing module (5) and the step-by-step interview module (3).
3. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the micro-motion capturing module (7) and the psychological state monitoring module (8) are electrically connected with the patient state inquiring module (2) and the patient self-help testing module (5), and the detail record storage module (9) is electrically connected with the micro-motion capturing module (7).
4. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the detail record storage module (9) is electrically connected with the input end of the patient data information storage module (1), and the secondary summarizing module (10) is electrically connected with the micro action capturing module (7), the psychological state monitoring module (8), the primary summarizing module (6) and the daily state acquisition module (4).
5. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the data information acquisition module (11) is electrically connected with the patient data information storage module (1), and the encryption transmission module (12) is electrically connected with the data information acquisition module (11).
6. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the grading module (13) is electrically connected with the secondary summarizing module (10) and the encryption transmission module (12), and the grading printing module (14) is electrically connected with the grading module (13).
7. A mental health risk screening system using big data assistance as claimed in claim 1, wherein: the contrast rating module (13) is electrically connected with the input end of the patient data information storage module (1).
CN202311322686.1A 2023-10-13 2023-10-13 Psychological health risk screening system assisted by big data Active CN117079830B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311322686.1A CN117079830B (en) 2023-10-13 2023-10-13 Psychological health risk screening system assisted by big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311322686.1A CN117079830B (en) 2023-10-13 2023-10-13 Psychological health risk screening system assisted by big data

Publications (2)

Publication Number Publication Date
CN117079830A true CN117079830A (en) 2023-11-17
CN117079830B CN117079830B (en) 2023-12-26

Family

ID=88702807

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311322686.1A Active CN117079830B (en) 2023-10-13 2023-10-13 Psychological health risk screening system assisted by big data

Country Status (1)

Country Link
CN (1) CN117079830B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105678668A (en) * 2015-11-18 2016-06-15 刘明波 Psychological counseling management system and equipment
KR102200816B1 (en) * 2020-06-29 2021-01-12 주식회사 퓨처플랫폼 Method and system for provding mental health self-management using face image
CN113393914A (en) * 2021-06-18 2021-09-14 苏州市广济医院 Symptom evaluation report system for depression patients
CN113409904A (en) * 2021-06-17 2021-09-17 苏州市广济医院 Discharged depression continues to look after platform system
CN113782154A (en) * 2021-09-16 2021-12-10 南充心海无忧医疗科技有限公司 Pregnant and lying-in woman mental health management system
CN113948204A (en) * 2021-10-22 2022-01-18 南方医科大学珠江医院 Ending-oriented whole-course model nursing data processing method
CN114121287A (en) * 2022-01-24 2022-03-01 广东数业智能科技有限公司 Student mental health detection method, system and readable storage medium
CN114155964A (en) * 2021-12-09 2022-03-08 孙茜 Depression patient symptom improvement degree recording and analyzing device
US20230290505A1 (en) * 2020-07-23 2023-09-14 Blueskeye Ai Ltd Context Aware Assessment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105678668A (en) * 2015-11-18 2016-06-15 刘明波 Psychological counseling management system and equipment
KR102200816B1 (en) * 2020-06-29 2021-01-12 주식회사 퓨처플랫폼 Method and system for provding mental health self-management using face image
US20230290505A1 (en) * 2020-07-23 2023-09-14 Blueskeye Ai Ltd Context Aware Assessment
CN113409904A (en) * 2021-06-17 2021-09-17 苏州市广济医院 Discharged depression continues to look after platform system
CN113393914A (en) * 2021-06-18 2021-09-14 苏州市广济医院 Symptom evaluation report system for depression patients
CN113782154A (en) * 2021-09-16 2021-12-10 南充心海无忧医疗科技有限公司 Pregnant and lying-in woman mental health management system
CN113948204A (en) * 2021-10-22 2022-01-18 南方医科大学珠江医院 Ending-oriented whole-course model nursing data processing method
CN114155964A (en) * 2021-12-09 2022-03-08 孙茜 Depression patient symptom improvement degree recording and analyzing device
CN114121287A (en) * 2022-01-24 2022-03-01 广东数业智能科技有限公司 Student mental health detection method, system and readable storage medium

Also Published As

Publication number Publication date
CN117079830B (en) 2023-12-26

Similar Documents

Publication Publication Date Title
Morse Evolving trends in qualitative research: advances in mixed-method design
DE102007010757B4 (en) Hand-held diagnostic systems and methods of using the same
CN117079830B (en) Psychological health risk screening system assisted by big data
CN1691717A (en) Method of managing health and system for performing the same
JP2004105729A5 (en)
EP1515234A3 (en) Programatic computer diagnosis and resolution and automated reporting and updating of the same
CN111584043B (en) Intelligent prompting system and method for imaging scanning scheme
DE102005037807A1 (en) Jib and spread x-ray tube configurations for a rotating anode with vacuum transfer chambers
DE20122935U1 (en) Digital camera, imaging device
CN114049550A (en) Cage-rearing dead broiler automatic identification method based on deep learning
CN109741254A (en) Dictionary training and Image Super-resolution Reconstruction method, system, equipment and storage medium
CN113545800B (en) Carotid artery ultrasonic scanning video quality screening method and system
CN111403025A (en) Intelligent diagnosis and treatment system based on internet medical service
KR102393265B1 (en) System for detecting pests of shiitake mushrooms
CN110738658A (en) Image quality evaluation method
EP3712845A1 (en) Image identifying method and image identifying device
CN106791939A (en) Movable image conversion method based on stream media technology
CN117274568A (en) Ultrasonic artificial intelligence image standardization processing method, system, medium and terminal
SE528089C2 (en) Method and system for automatically improving the usefulness of a medical image
CN211583884U (en) Mobile device comprising a screening cabin
CN110675357A (en) Training and image optimization method, device and equipment of image optimization network
CN111477323A (en) Serious disease machine recognition system based on artificial intelligence
CN215739091U (en) Real-time spectrum analyzer for ultrasonic Doppler blood flow signals
Lan Organ viability assessment in transplantation based on data-driven modeling
US20230210255A1 (en) Mobile dr applicable to in-vivo detection of multi-thoracolumbar variations in equine animals and use method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant