KR102199397B1 - System and method for diagnosing and analyzing disease - Google Patents

Abstract

The present invention discloses a disease diagnosis analysis system and method. The present invention provides an image collection terminal that outputs photographing information including a patient's face, body shape, and retina image, a diagnostic server that diagnoses and analyzes using the photographing information, and provides the diagnosis and analysis results and photographing information. An object of the present invention is to provide a disease diagnosis and analysis system and method capable of reducing the load of the system by separating the viewer.

Description

Disease diagnosis analysis system and method {SYSTEM AND METHOD FOR DIAGNOSING AND ANALYZING DISEASE}

The present invention relates to a disease diagnosis and analysis system and method, and more particularly, an image collection terminal that outputs photographing information including a patient's face, a full body image, and a retina image, and a diagnosis and analysis using the photographing information. The present invention relates to a disease diagnosis and analysis system and method capable of reducing a system load by separating a server and a diagnosis viewer that provides the diagnosis and analysis results and photographing information.

In general, when a disease occurs in a patient, the patient must visit the hospital directly and then receive various treatments while interviewing with a doctor.

However, it is difficult for office workers who live a busy daily life or the elderly with limited mobility to visit a hospital without the help of other people and often visit after the disease progresses.

In order to solve this problem, a method of inquiries using a bulletin board or e-mail with a doctor in charge of a hospital, and a doctor's treatment for this was operated on the Internet.

However, these treatment methods still have problems in that it is difficult to manipulate computers or manipulate complex devices to be used by the elderly who do not know the computer or the Internet, and because doctors cannot clearly grasp the patient's condition, professional medical treatment is not possible. .

In addition, a remote diagnosis system is being implemented to solve this inconvenience, and such a remote diagnosis system is a user's body temperature, pulse, blood pressure, blood sugar, and electrocardiogram, which are respectively measured with portable measuring equipment at a remote location even if the patient does not visit the hospital directly. It is configured to receive biometric information such as body fat, etc. for medical treatment.

As a type of remote diagnosis system related to this technology, Korean Patent Registration No. 10-366158 (name of the invention: self-examination device and remote medical treatment system and remote medical treatment method using the same) provides biometric information while a patient communicates in real time. It is configured so that the receiving physician can check and treat the patient's biometric information in real time through a measuring device that checks.

However, the remote diagnosis system according to the prior art has a problem in that it is difficult to confirm the diagnosis of preliminary signs that appear before the occurrence of the disease or during the incubation period during which the disease progresses.

Korean Patent Registration No. 10-366158 (Name of invention: Self-examination device and remote medical treatment system and remote medical treatment method using it)

In order to solve this problem, the present invention provides an image collection terminal that outputs photographing information including a patient's face, a full body image, and a retina image, a diagnostic server that diagnoses and analyzes using the photographing information, and the diagnosis and analysis results. It is an object of the present invention to provide a disease diagnosis and analysis system and method capable of reducing the load of the system by separating and configuring a diagnostic viewer that provides photographing information.

In order to achieve the above object, the present invention extracts preset feature data from image data photographing a patient's body, and stores the location and synchronization time of the feature data and unique information of the patient together with the photographed image data. An image collection terminal that encodes data and transmits it to a diagnosis server unit and a diagnosis viewer unit; The occurrence of a disease by generating and storing an event of a patient and an effective area image of the characteristic data from the video data transmitted from the image collection terminal, and comparing and analyzing the generated effective area image with disease data through a pre-stored diagnostic program Diagnosis server unit that calculates whether or not, analysis result, similarity of disease, and generates packet data including disease data, similarity data, effective area image, synchronization time, and patient event data based on the calculated information and transmits it to the diagnosis viewer unit ; And corresponding disease data and images by analyzing the video data transmitted from the image collection terminal and packet data transmitted from the diagnosis server unit, and displaying a disease region on an image at the same time as the synchronization time of the patient event together with the captured image. It includes a diagnostic viewer to display.

In addition, the image collection terminal according to the present invention provides an arbitrary magnification and includes a lens unit configured to be replaceable according to the body to be photographed; An image sensor unit converting the optical signal input through the lens unit into an electric signal and outputting the converted optical signal; A detection region extraction unit for extracting body feature data from the image data output from the image sensor unit through a pre-stored region detection program, and outputting information on a location of the extracted feature data and synchronization time of the image; An encoding unit for encoding the patient's unique information input by the user, the location of the extracted feature data, and synchronization time information of the image into moving image data together with the image data output from the image sensor unit; And an RTSP streamer for transmitting the video data encoded by the encoding unit to a diagnosis server unit and a diagnosis viewer unit.

In addition, the diagnosis server unit according to the present invention includes an image receiving unit for receiving video data transmitted from an image collecting terminal; By analyzing the received video data, the event occurrence of the patient and the effective area image of the characteristic data are generated, the generated effective area image is stored, and the generated effective area image is compared and analyzed through a pre-stored diagnostic program. At least one image analysis module for calculating whether a disease has occurred, an analysis result, and a degree of similarity of the disease; And a patient event transmission unit generating packet data including disease data, similarity data, effective area image, synchronization time, and patient event data from the information calculated by the image analysis module and transmitting the generated packet data to the diagnosis viewer unit.

In addition, the image analysis module according to the present invention includes an image analysis unit configured to generate an effective area image by analyzing characteristic data, and to store the generated effective area image and unique information of the patient in an image storage unit; An image storage unit that stores the generated image of the effective area and unique information of the patient, and transmits the image of the effective area and the unique information of the patient together with event data of the patient to an integrated diagnosis performing unit; The disease data stored in the database and the diagnosis program are used to determine whether a disease has occurred through diagnosis of the effective area image, and if it is recognized as a disease, the analysis result using the diagnosis basis data stored in the database and the similarity of the disease are determined. An integrated diagnosis performing unit that calculates and outputs the effective area image and patient event data together; And a database storing disease data and a diagnostic program for determining a disease.

In addition, the diagnosis viewer unit according to the present invention comprises a first receiving unit for receiving the video data transmitted from the image collection terminal; A second receiving unit for receiving packet data transmitted from the diagnosis server unit; The video data transmitted from the image collection terminal and the packet data transmitted from the diagnosis server are analyzed to extract the patient's unique information and the patient's event information, and from the captured image to an image at the same time as the patient event synchronization time. An image display unit that displays a disease region and controls it to be reproduced together with disease data and images corresponding to the disease; And a display unit that displays arbitrary data according to an operation of the image display unit.

In addition, the body of the patient according to the present invention is characterized in that any one of a face, a whole body shape, and a retina.

In addition, the present invention comprises the steps of: a) real-time photographing of a patient's body in an image collection terminal and extracting preset feature data from the photographed image data; b) encoding the location and synchronization time of the feature data extracted from the image collection terminal and the patient's unique information together with the photographed image data into moving image data and transmitting them to a diagnosis server unit and a diagnosis viewer unit; c) analyzing the moving image data transmitted from the image collection terminal by the diagnosis server to generate and store an image of an event occurrence of a patient and an effective area of the characteristic data; d) The diagnostic server unit compares and analyzes the generated image of the effective area with disease data through a pre-stored diagnostic program to calculate the occurrence of a disease, analysis result, and similarity of the disease, and based on the calculated information, disease data, Generating packet data including similarity data, effective area image, synchronization time, and patient event data and transmitting it to a diagnosis viewer; And e) the diagnosis viewer unit displays the disease area on an image at the same time as the synchronization time of the patient event together with the captured image using the video data transmitted from the image collection terminal and the packet data transmitted from the diagnosis server unit. And displaying the corresponding disease data and image.

The present invention provides an image collection terminal that outputs photographing information including a patient's face, body shape, and retina image, a diagnostic server that diagnoses and analyzes using the photographing information, and provides the diagnosis and analysis results and photographing information. There is an advantage that the load of the system can be reduced by separating the viewer.

In addition, the present invention enables the acquisition of accurate image information according to the purpose of diagnosis by replacing and installing lenses according to the body to be photographed, and patients with stroke and nervous system abnormalities and eye diseases through images of the face, whole body, and retina. It has the advantage of providing medical services by diagnosing and analyzing patients without distinction.

In addition, the present invention has the advantage of providing a more accurate and rapid diagnosis service through a big data processing method in a diagnosis server, and providing a diagnosis service in a remote location regardless of a location.

In addition, the present invention has the advantage of providing various medical services by receiving diagnosis and analysis information in a mobile environment and providing it to a medical staff.

1 is a block diagram schematically showing a disease diagnosis analysis system according to the present invention.
2 is a block diagram showing the configuration of an image collection terminal of the disease diagnosis and analysis system according to the present invention.
3 is a block diagram showing the configuration of a diagnosis server unit of the disease diagnosis analysis system according to the present invention.
4 is a block diagram showing the configuration of an image analysis module of a diagnosis server according to FIG. 3.
5 is a block diagram showing the configuration of a diagnosis viewer unit of the disease diagnosis analysis system according to the present invention.
6 is an exemplary view showing a captured image of the image collection terminal according to FIG. 2.
7 is an exemplary view showing the configuration of a communication protocol between an image collection terminal and a diagnosis viewer of the disease diagnosis analysis system according to the present invention.
8 is an exemplary view showing the configuration of a communication protocol between an image collection terminal and a diagnosis server unit of the disease diagnosis analysis system according to the present invention.
9 is an exemplary view showing the configuration of a communication protocol between a diagnosis server unit and a diagnosis viewer unit of the disease diagnosis analysis system according to the present invention.
10 is a flowchart showing an analysis process of the disease diagnosis analysis system according to the present invention.

Hereinafter, preferred embodiments of the disease diagnosis and analysis system according to the present invention will be described in detail with reference to the accompanying drawings.

In this specification, the expression that a certain part "includes" a certain component does not exclude other components, but means that other components may be further included.

In addition, terms such as "... unit", "... group", and "... module" mean units that process at least one function or operation, which can be classified into hardware, software, or a combination of the two.

1 is a block diagram schematically showing a disease diagnosis analysis system according to the present invention, FIG. 2 is a block diagram showing the configuration of an image collection terminal of the disease diagnosis analysis system according to the present invention, and FIG. 3 is a disease diagnosis according to the present invention. A block diagram showing the configuration of the diagnosis server unit of the analysis system, Fig. 4 is a block diagram showing the configuration of the image analysis module of the diagnosis server unit according to Fig. 3, and Fig. 5 is a block diagram showing the configuration of the diagnosis viewer unit of the disease diagnosis analysis system according to the present invention. It is a block diagram shown.

As shown in FIGS. 1 to 5, the diagnostic analysis system according to the present invention includes an image collection terminal 100 that outputs photographing information including a patient's face, a full body image, and a retina image, and diagnosis and analysis using the photographing information. It includes a diagnosis server unit 200 to analyze and a diagnosis viewer unit 300 to display the diagnosis and analysis results and photographing information.

The image collection terminal 100 extracts preset feature data from image data photographing the patient's body, and converts the location and synchronization time of the feature data, and unique information of the patient into video data together with the photographed image data. As a configuration for encoding and transmitting to the diagnosis server unit 200 and the diagnosis viewer unit 300, the first lens unit 110, the second lens unit 120, the image sensor unit 130, and the detection area are extracted. It is an integrated terminal configured including a unit 140, an encoding unit 150, and an RTSP streamer 160.

The first lens unit 110 and the second lens unit 120 provide an arbitrary magnification and can be replaced according to the body to be photographed, and the first lens unit 110 is It is a configuration for photographing an image, and the second lens unit 120 is a configuration for photographing a patient's retina, and may be replaced and installed to obtain accurate image information according to a diagnosis purpose.

That is, when photographing a face, the first lens unit 110 is installed to photograph the patient's face as shown in Fig. 6(a), and a second lens unit 120 is installed when photographing the retina. Thus, it is configured as an integrated terminal so as to take a picture of the retina as shown in FIG. 6(b).

The image sensor unit 130 is configured to convert and output an optical signal input through the first lens unit 110 or the second lens unit 120 into an electric signal, and includes a CCD sensor, a CMOS sensor, or an optical signal. Any sensor that converts and outputs an electrical signal can be used.

The detection area extraction unit 140 extracts body feature data through a pre-stored area detection program from the image data output from the image sensor unit 130, and the location (coordinate value) of the extracted feature data and the extraction Synchronization time information of the image including the created feature data is output.

That is, the detection region extracting unit 140 extracts feature data such as a face shape, a full body shape, and a retina from the image data through vision recognition such as image processing, and coordinates and images for the region including the extracted feature data. The synchronization time of is extracted.

The encoding unit 150 converts coordinate information and image synchronization time information on a region including the feature data extracted by the detection region extraction unit 140, and patient-specific information (or ID information) input by a user into a video. After inserting into the Meta Data area of the image sensor unit 130, the image data is encoded as video data and transmitted to the diagnosis server unit 300, and the patient's Coordinate information including characteristic data such as unique information, face shape, full body shape, and retina, and synchronization time information of an image are transmitted to the diagnosis viewer unit 300.

That is, as shown in FIG. 7, the encoding unit 150 includes a synchronization time 410 and coordinate information for an area including feature data and an image of the first meta data 400 transmitted to the diagnosis viewer unit 300. It is configured to include the synchronization time information 420 and the patient's ID 430, and the data transmitted to the diagnosis server unit 200 includes a face shape, a full body shape, and a second meta data 500 as shown in FIG. The photographed image file name 510 including the retina, etc., the synchronization time 520, the coordinate information of the region including the feature data and the synchronization time information 530 of the image, the patient's ID 540, and the disease The data transmitted to the diagnosis server unit 200 and the data transmitted to the diagnosis viewer unit 300 are different from the data transmitted to the diagnosis server unit 200 by configuring to include the event ID 550 for diagnosis and analysis requests (eg, stroke, eye disease, etc.). So that the load on the system due to diagnosis and analysis can be reduced.

The RTSP (Real Time Streaming Protocol) streamer 160 transmits the video data encoded by the encoding unit 150 to the diagnosis server unit 200 and the diagnosis viewer unit 300, respectively.

The diagnosis server unit 200 generates and stores a patient event occurrence and an effective area image of the characteristic data from the moving image data transmitted from the image collection terminal 100, and stores the generated effective area image in advance. Packet data including disease data, similarity data, effective area image, synchronization time, and patient event data based on the calculated information, calculates disease occurrence, analysis result, and disease similarity by comparing and analyzing disease data through As a configuration for generating and transmitting to the diagnosis viewer unit 300, it is configured to include an image receiving unit 210, an image analysis module 220, and an event transmission unit 230.

The image receiving unit 210 receives video data transmitted from the image collection terminal 100, and any image analysis module among the image analysis module 220, the image analysis module 1(220a), and the image analysis module n(220b) The received video data is distributed so that it can be processed by

The image analysis module 220 analyzes the received video data to generate an event of a patient and an effective area image of the characteristic data, stores the generated effective area image, and previews the generated effective area image. As a configuration for comparing and analyzing the occurrence of a disease through a stored diagnostic program, an analysis result, and calculating the similarity of the disease, the image analysis unit 221, the image storage unit 222, the integrated diagnosis execution unit 223, It comprises a database 224.

In addition, the image analysis module 220 is configured such that a plurality of image analysis modules 220a and 220b are configured in parallel for distributed processing to process diagnosis and analysis of several patients transmitted through a plurality of paths.

The image analysis unit 221 generates an image of an effective area necessary for diagnosis by analyzing feature data such as face, full body, and retina, and stores the generated image of the effective area and the patient's unique information (ID). To be stored in the unit 222.

That is, an image of the effective area including the eyes, nose, and mouth of the face or the image of the effective area including the biometric characteristics of the retina is generated.

The image storage unit 222 stores the effective area image generated by the image analysis unit 221 and the patient's unique information (ID), and stores the effective area image and the patient's unique information (ID). It transmits to the integrated diagnosis performing unit 223 together with the patient event data including.

The integrated diagnosis performing unit 223 determines whether a disease has occurred by comparing the effective area image with the disease data stored in the database 224 using disease data stored in the database 224 and a diagnosis program.

That is, the integrated diagnosis performing unit 223 compares disease data such as symmetry and distortion of a face with an image of an effective area, such as a stroke, to diagnose whether a disease has occurred.

In addition, when the integrated diagnosis execution unit 223 is recognized as a disease, it analyzes the disease using diagnosis basis data stored in the database 224, calculates the disease similarity of the patient together with the analysis result information, and provides an effective area image. , Output with patient event data including patient's disease history information.

The database 224 stores a diagnostic program for determining a disease, disease data, and diagnosis basis data.

The patient event transmission unit 230 generates packet data including disease data, similarity data, effective area image, synchronization time, and patient event data from the information calculated by the image analysis module 220, and the diagnosis viewer unit 300 Transfer to.

That is, the packet data is configured such that the third metadata area 600 includes a patient event information area D1 and a disease information area D2, as shown in FIG. 9, and the patient event information area D1 is photographed. The image file name 610, synchronization time 620, valid image data 630, and patient ID 640 are included, and the disease information area D2 includes a disease similarity 650 and disease data 660. ), and configures data by adding a patient event ID 670 at the end.

The diagnosis viewer unit 300 analyzes the video data transmitted from the image collection terminal 100 and the packet data transmitted from the diagnosis server unit 200, and together with the captured image, an image at the same time as the synchronization time of the patient event. A configuration for displaying disease data and images corresponding to a disease region on the screen, including a first receiving unit 310, a second receiving unit 320, an image display unit 330, and a display unit 340. And, preferably, a mobile terminal such as a smartphone or a tablet PC.

The first receiving unit 310 receives the video data transmitted from the image collection terminal 100 and provides it to the image display unit 330.

The second receiving unit 320 receives packet data transmitted from the diagnosis server unit 200 and provides it to the image display unit 330.

The image display unit 330 analyzes the video data transmitted from the image collection terminal 100 and the packet data transmitted from the diagnosis server unit 200, and analyzes the patient's unique information (ID) included in the meta data, and Event information is extracted, and a disease region is displayed in an image at the same time as the synchronization time of the patient event from the captured image so that the disease data and image corresponding to the disease are reproduced.

In addition, the image display unit 330 allows the patient's disease history information to be displayed using the received patient event information, so that information on the patient's previous disease and the current state can be checked.

The display unit 340 allows arbitrary data output from the image display unit 330 to be displayed through the control of the image display unit 330.

Next, the operation of the diagnostic analysis system according to the present invention will be described with reference to FIGS. 1 to 4 and 10.

The image collection terminal 100 captures a patient's body in real time (S100), and extracts feature data such as a face shape, a full body shape, and a mangak from the captured image data (S200).

The feature data extracted in the step S200 is diagnosed by searching and inputting the location and synchronization time of the extracted feature data and the patient's unique information from the image collection terminal 100 and encoding it into video data together with the captured image data. Each of the server unit 200 and the diagnosis viewer unit 300 is transmitted (S300).

The video data transmitted in the step S300 is analyzed by the diagnosis server 200 to generate an event of a patient and an image of an effective area of the characteristic data, and then stored (S400).

The diagnosis server unit 200 compares and analyzes (S500) the effective area image generated in the step S400 with disease data through a pre-stored diagnostic program, determines whether or not a disease has occurred as a result of the analysis in the step S500, and If it is determined that the occurrence of the disease, the analysis result and the degree of similarity of the disease are calculated, and packet data including disease data, similarity data, effective area image, synchronization time, and patient event data are generated based on the calculated information. It transmits to the unit 300 (S600).

That is, in steps S500 and S600, disease data such as symmetry and distortion of the face, such as a stroke, are compared with an image of an effective area of the patient to diagnose whether a disease has occurred, and if recognized as a disease, the diagnosis stored in the database 224 Analyzes the progress of the disease using the evidence data, calculates the disease similarity of the patient with the analysis result information, and sends the diagnosis viewer unit 300 together with the patient event data including the effective area image and the patient's disease history information. send.

The diagnostic viewer unit 300 receives (S700) the video data transmitted by the image collection terminal 100 in the step S300 and the packet data transmitted by the diagnostic server unit 200 in the step S600 (S700), and the step S700 The disease region is displayed on the image received at the same time as the synchronization time between the captured image and the patient event, so that the corresponding disease data and image are displayed (S800).

As described above, the present invention has been described with reference to preferred embodiments of the present invention, but those skilled in the art can variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. You will understand that you can do it.

Accordingly, an image collection terminal that outputs photographing information including a patient's face, body shape, and retinal image, a diagnostic server that diagnoses and analyzes using the photographing information, and a diagnostic viewer that provides the diagnosis and analysis results and photographing information. It is possible to reduce the load on the system by separating the system, and by replacing and installing the lens according to the body to be photographed, it is possible to obtain accurate image information according to the purpose of diagnosis, and through images of the face, whole body, and retina, stroke and Medical services can be provided by diagnosing and analyzing patients with neurological abnormalities and ophthalmic diseases.

In addition, by providing accurate and rapid diagnosis services from the diagnosis server, diagnosis services can be provided from remote locations regardless of location, and various medical services can be provided by receiving diagnosis and analysis information from a mobile environment and providing them to medical staff. There will be.

In addition, reference numerals in the claims of the present invention are provided for clarity and convenience of description, and are not limited thereto. In the process of describing the embodiments, the thickness of the lines shown in the drawings, the size of components, etc. May be exaggerated for clarity and convenience of description, and the above-described terms are terms defined in consideration of functions in the present invention and may vary according to the intention or custom of users and operators. Is to be made based on the contents throughout this specification.

100: image collection terminal 110: first lens unit
120: second lens unit 130: image sensor unit
140: detection region extraction unit 150: encoding unit
160: RTSP streamer 200: diagnostic server unit
210: image receiving unit 220: image analysis module
220a: image analysis module 1 220b: image analysis module n
221: image analysis unit 222: image storage unit
223: integrated diagnosis execution unit 224: database
230: patient event transmission unit 300: diagnosis viewer unit
310: first receiver 320: second receiver
330: image display unit 340: display unit
400: first meta data 410: synchronization time
420: feature data 430: patient ID
500: second metadata 510: captured image
520: synchronization time 530: feature data
540: Patient ID 550: Event ID
600: 3rd metadata 610: name of the captured image file
620: synchronization time 630: effective image data
640: Patient ID 650: Disease similarity
660: disease data 670: patient event ID

Claims (7)

The diagnosis server unit 200 extracts preset feature data from image data photographing the patient's body, encodes the location and synchronization time of the feature data, and unique information of the patient into moving image data together with the photographed image data And an image collection terminal 100 for transmitting to the diagnosis viewer unit 300;
An image receiving unit 210 that receives moving image data transmitted from the image collection terminal 100, and analyzes the received moving image data to generate an event of a patient and an effective area image of the characteristic data, and the generated validity At least one image analysis module 220 that stores an area image and compares and analyzes the generated effective area image through a pre-stored diagnostic program to calculate the occurrence of a disease, analysis result, and similarity of the disease, and the image analysis A patient event transmission unit 230 for generating packet data including disease data, similarity data, effective area image, synchronization time, and patient event data from the information calculated by the module 220 and transmitting it to the diagnosis viewer unit 300 is provided. A diagnosis server unit 200; And
By analyzing the video data transmitted from the image collection terminal 100 and the packet data transmitted from the diagnosis server unit 200, a disease region is displayed on an image at the same time as the synchronization time of the patient event along with the captured image. Including a diagnosis viewer unit 300 for displaying disease data and images,
The image analysis module 220 includes an image analysis unit 221 that analyzes feature data to generate an effective area image, and stores the generated effective area image and patient-specific information in the image storage unit 222;
An image storage unit 222 for storing the generated image of the effective area and the unique information of the patient, and transmitting the image of the effective area and the unique information of the patient to the integrated diagnosis performing unit 223 together with the patient's event data;
The disease data stored in the database 224 and a diagnosis program are used to determine whether a disease has occurred through diagnosis of the effective area image, and if it is recognized as a disease, an analysis result using the diagnosis basis data stored in the database 224 And, an integrated diagnosis execution unit 223 that calculates the similarity of the disease and outputs the image of the effective area and patient event data; And
A diagnostic program for determining a disease and a database 224 storing disease data; a disease diagnosis analysis system comprising: a. The method of claim 1,
The image collection terminal 100 provides an arbitrary magnification and includes a lens unit 110 and 120 configured to be replaceable according to a body to be photographed;
An image sensor unit 130 for converting and outputting an optical signal input through the lens units 110 and 120 into electric signals;
A detection region extraction unit 140 for extracting body feature data through a pre-stored region detection program for image data output from the image sensor unit 130, and outputting information on the location of the extracted feature data and synchronization time of the image. );
An encoding unit 150 for encoding the patient's unique information input by the user, the location of the extracted feature data, and synchronization time information of the image into moving image data together with the image data output from the image sensor unit 130; And
And an RTSP streamer 160 for transmitting the video data encoded by the encoding unit 150 to the diagnosis server unit 200 and the diagnosis viewer unit 300. delete delete The method of claim 1,
The diagnosis viewer unit 300 may include a first receiving unit 310 for receiving video data transmitted from the image collection terminal 100;
A second receiving unit 320 for receiving packet data transmitted from the diagnosis server unit 200;
By analyzing the video data transmitted from the image collection terminal 100 and the packet data transmitted from the diagnosis server unit 200, the patient's unique information and the patient's event information are extracted, and the patient event synchronization time from the captured image An image display unit 330 for displaying a disease region on an image at the same time as and controlling the disease data and images corresponding to the disease to be reproduced together; And
And a display unit 340 that displays arbitrary data according to an operation of the image display unit 330. The method of claim 1,
The patient's body is a disease diagnosis analysis system, characterized in that any one of a face, a whole body shape, and a retina. a) real-time photographing of the patient's body in the image collection terminal 100 and extracting preset feature data from the photographed image data;
b) The location and synchronization time of the feature data extracted from the image collection terminal 100 and the patient's unique information are encoded as moving image data together with the captured image data, and the diagnosis server unit 200 and the diagnosis viewer unit 300 Sending to );
c) The diagnosis server unit 200 analyzes the video data transmitted from the image collection terminal 100 to generate a patient event and an effective area image of the characteristic data, and the generated effective area image and the patient's Storing the unique information;
d) The diagnosis server 200 compares and analyzes the generated image of the effective area and the patient's unique information with disease data through a diagnostic program stored in advance along with the patient's event occurrence data to determine whether a disease has occurred, and the analysis result. , Calculates the similarity of the disease, and when recognized as a disease based on the calculated information, generates packet data including disease data, disease similarity data, effective area image, synchronization time, and patient event data, and the diagnosis viewer unit 300 Sending to ); And
e) The diagnosis viewer unit 300 uses the video data transmitted from the image collection terminal 100 and the packet data transmitted from the diagnosis server unit 200 to determine the synchronization time of the patient event together with the captured image. A disease diagnosis and analysis method comprising displaying a disease region on an image at the same time to display corresponding disease data and images.

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