Patient diagnosis and treatment system based on face recognition

Abstract

The invention discloses a patient diagnosis and treatment system based on face recognition, which comprises a recognition end, a database and a medical system end, and is characterized in that the recognition end comprises a face recognition camera used for collecting face image information; the data analysis module receives the face image information collected by the face recognition camera through a wireless transmission channel, analyzes and classifies the face image information, and is used for storing the analyzed and classified information into a database; the database comprises a new database and an old database; the new library is used for storing newly collected analyzed and classified face image information; the medical system end comprises a medical diagnosis and treatment information system used for recording and storing patient information, the face recognition camera collects and recognizes face image information of a patient and then records the face image information in a database, and if the patient has a doctor-seeing record, the medical diagnosis and treatment information system sends the doctor-seeing record to the medical system end. Therefore, the medical diagnosis and treatment information system can directly find out the original case file of the patient, thereby being convenient for inquiring the treatment record or rewriting the case file.

Description

Technical Field

[0001] The present invention relates to the technical field of diagnosis and treatment systems, and in particular to a patient diagnosis and treatment system based on face recognition. Background Art

[0002] At present, major hospitals generally use manual entry to create or search medical records for patients. It is simple and convenient to use, but in actual use, some older doctors are not proficient in computer operation. In addition, there are many patients in the hospital, and there are various problems such as duplicate names and genders, rare characters and polyphonic characters. As a result, the actual creation or search of medical records is not smooth, and errors may occur during the entry, affecting the patient's medical treatment or making it impossible to find historical medical records. Summary of the Invention

[0003] In response to the deficiencies of the existing technology, the present invention provides a patient diagnosis and treatment system based on face recognition, which solves the problem that errors are prone to occur in the existing manual entry of patient information.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A patient diagnosis and treatment system based on face recognition includes an identification terminal, a database, and a medical system terminal, wherein the identification terminal includes:

[0005] Face recognition camera, used to collect facial image information;

[0006] The data analysis module receives facial image information collected by the face recognition camera through a wireless transmission channel and performs analysis and classification, and is used to store the analyzed and classified information in a database;

[0007] The database includes: a new database and an old database;

[0008] The new library is used to store newly collected, parsed and classified facial image information;

[0009] The old database is used to store patient information that has been diagnosed and treated by the medical system and facial image information that has been analyzed and classified;

[0010] The new library and the old library both use wireless transmission channels to transmit and receive data from the data analysis module and the medical system end;

[0011] The medical system end includes a medical diagnosis and treatment information system for recording and storing patient information.

[0012] Preferably, the collected facial image information includes: facial feature points, including the position, shape, and texture features of the eyes, nose, mouth, and ears. The data analysis module analyzes the obtained feature point data and uses it to construct a facial template and an ear feature template and transmits them to the database;

[0013] The new library is used to store facial templates and ear feature templates, and the old library is used to receive facial templates and ear feature templates and match them with the information in the diagnosis and treatment information system. If the match is successful, it is stored in the old library, and at the same time, the patient's information is retrieved and the facial templates and ear feature templates stored in the new library are deleted.

[0014] Preferably, the image information collected from the ear includes the length of the external ear, the distance between the two ears, the shape of the cochlea, the shape of the earlobe and the shape of the external auditory canal, and is made into an ear feature template by a data analysis module. The old library includes a special feature comparison library for storing ear feature templates.

[0015] Preferably, the medical diagnosis and treatment information system includes a storage module, a display module and an extraction module;

[0016] The storage module archives the patient's medical information and image data;

[0017] The display module is used to operate and display information and images, including medical records, text data, image data, examination reports and results;

[0018] The extraction module is used to extract medical information and information in the new library and the old library.

[0019] Beneficial effects

[0020] The present invention provides a patient diagnosis and treatment system based on face recognition, which has the following beneficial effects:

[0021] 1. Using facial recognition to establish patient case files or query patient medical records is efficient and convenient, and can avoid errors caused by manual input. After the facial recognition camera collects and recognizes the patient's facial image information, it will be recorded in the database. If the patient has a medical record, the medical diagnosis and treatment information system will directly find the patient's original case file, making it easy to query the medical record or rewrite the case file. If the patient does not have a medical record, a new case file will be generated in the medical diagnosis and treatment information system, and the staff only needs to enter the new record, which is convenient to use.

[0022] 2. The facial image information collected also includes the position, shape and texture features of the ears, and an ear feature template is constructed. Due to plastic surgery or other reasons, a person's appearance will change, but the physiological characteristics of the ear are not easy to change. The patient information can be quickly and accurately identified through facial information and ear features. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] See also Figure 1 The present invention provides a technical solution: a patient diagnosis and treatment system based on face recognition, including an identification terminal, a database and a medical system terminal, wherein the identification terminal includes:

[0026] Face recognition camera, used to collect facial image information;

[0027] The data analysis module receives facial image information collected by the face recognition camera through a wireless transmission channel and performs analysis and classification, and is used to store the analyzed and classified information in a database;

[0028] The database includes: a new database and an old database;

[0029] The new library is used to store newly collected, parsed and classified facial image information;

[0030] The old database is used to store patient information that has been diagnosed and treated by the medical system and facial image information that has been analyzed and classified;

[0031] The new library and the old library both use wireless transmission channels to transmit and receive data from the data analysis module and the medical system end;

[0032] The medical system end includes a medical diagnosis and treatment information system for recording and storing patient information;

[0033] Face recognition cameras use cameras or video cameras to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform a series of related application operations on the detected face images. It mainly includes four components: face image acquisition and detection, face image preprocessing, face image feature extraction, matching and recognition;

[0034] Facial image matching and recognition: The extracted facial image's feature data is searched and matched against the feature templates stored in the database. A threshold is set, and when the similarity exceeds this threshold, the matching result is output. Facial recognition compares the facial features of the person to be identified with the acquired facial feature templates, determining the identity of the face based on the degree of similarity. This process can be divided into two categories: confirmation, which involves a one-to-one image comparison, and identification, which involves a one-to-many image matching and comparison.

[0035] Furthermore, the collected facial image information includes: facial feature points, including the position, shape, and texture features of the eyes, nose, mouth, and ears. The data analysis module analyzes the obtained feature point data and uses it to construct a facial template and an ear feature template and transmits them to the database;

[0036] The new library is used to store facial templates and ear feature templates, and the old library is used to receive facial templates and ear feature templates and match them with the information in the diagnosis and treatment information system. If the match is successful, it is stored in the old library, and at the same time, the patient's information is retrieved and the facial templates and ear feature templates stored in the new library are deleted.

[0037] Furthermore, the image information collected from the ear includes the length of the external ear, the distance between the two ears, the shape of the cochlea, the shape of the earlobe and the shape of the external auditory canal, and is made into an ear feature template by a data analysis module. The old library includes a special feature comparison library for storing ear feature templates.

[0038] Furthermore, the medical diagnosis and treatment information system includes a storage module, a display module and an extraction module;

[0039] The storage module archives the patient's medical information and image data;

[0040] The display module is used to operate and display information and images, including medical records, text data, image data, examination reports and results;

[0041] The extraction module is used to extract medical information and information in the new library and the old library;

[0042] A memory module is a type of memory chip, a specific application of the embedded system-on-chip concept in the storage industry. Therefore, both system-on-chip and memory chip achieve multifunctionality and high performance by embedding software within a single chip, as well as support for multiple protocols, diverse hardware, and diverse applications.

[0043] By those skilled in the art, the devices in this case are connected in sequence. The specific connection and operation sequence should refer to the following working principle. The detailed connection means are well-known technologies in the field. The following mainly introduces the working principle and process.

[0044] Example: First, use a face recognition camera to identify patient information, and construct the feature points of the face through a data analysis module. The feature points include the position, shape and texture features of the eyes, nose, mouth, and ears. Construct a face template and an ear feature template and transmit them to the database, and match them with the medical diagnosis and treatment information system. If the patient has a medical record, the medical diagnosis and treatment information system will directly find the patient's original case file, which is convenient for querying the medical record or rewriting the case file; if the patient does not have a medical record, a new case file will be generated in the medical diagnosis and treatment information system, and the staff only needs to enter the new record.

[0045] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include," "comprise," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations. The phrase "includes an element defined by..." does not exclude the presence of other identical elements in the process, method, article, or device that includes the element.

[0046] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A patient diagnosis and treatment system based on facial recognition, including an identification terminal, a database, and a medical system terminal, is characterized by: The identification terminal includes: Face recognition camera, used to collect facial image information; The data analysis module receives facial image information collected by the face recognition camera through a wireless transmission channel and performs analysis and classification, and is used to store the analyzed and classified information in a database; The database includes: a new database and an old database; The new library is used to store newly collected, parsed and classified facial image information; The old database is used to store patient information that has been diagnosed and treated by the medical system and facial image information that has been analyzed and classified; The new library and the old library both use wireless transmission channels to transmit and receive data from the data analysis module and the medical system end; The medical system end includes a medical diagnosis and treatment information system for recording and storing patient information.

2. The patient diagnosis and treatment system based on face recognition according to claim 1, characterized in that: The collected facial image information includes: facial feature points, including the position, shape and texture features of the eyes, nose, mouth and ears. The data analysis module analyzes the obtained feature point data and uses it to construct a facial template and an ear feature template and transmits them to the database; The new library is used to store facial templates and ear feature templates, and the old library is used to receive facial templates and ear feature templates and match them with the information in the diagnosis and treatment information system. If the match is successful, it is stored in the old library, and at the same time, the patient's information is retrieved and the facial templates and ear feature templates stored in the new library are deleted.

3. The patient diagnosis and treatment system based on face recognition according to claim 2, characterized in that: The image information collected from the ear includes the length of the external ear, the distance between the two ears, the shape of the cochlea, the shape of the earlobe and the shape of the external auditory canal, and is made into an ear feature template by a data analysis module. The old library includes a special feature comparison library for storing ear feature templates.

4. The patient diagnosis and treatment system based on face recognition according to claim 1, characterized in that: The medical diagnosis and treatment information system includes a storage module, a display module and an extraction module; The storage module archives the patient's medical information and image data; The display module is used to operate and display information and images, including medical records, text data, image data, examination reports and results; The extraction module is used to extract medical information and information in the new library and the old library.

Images