KR-102960783-B1 - APPARATUS AND METHOD FOR DETECTING PARKINSON'S DISEASE

KR102960783B1KR 102960783 B1KR102960783 B1KR 102960783B1KR-102960783-B1

Abstract

The present invention relates to an apparatus and method for diagnosing Parkinson's disease. The method for diagnosing Parkinson's disease according to the present embodiment may include the steps of presenting one or more motor ability evaluation missions and one or more non-motor ability evaluation missions to a user, and collecting the results of performing one or more motor ability evaluation missions and one or more non-motor ability evaluation missions from the user; extracting one or more motor ability features and one or more non-motor ability features from the results of performing one or more motor ability evaluation missions and one or more non-motor ability evaluation missions; and diagnosing the presence or absence of Parkinson's disease in the user based on at least one of the results of extracting one or more motor ability features and one or more non-motor ability features.

Inventors

이경성

Assignees

주식회사 이모코그

Dates

Publication Date: 20260507
Application Date: 20251125
Priority Date: 20240905

Claims (3)

As a method for diagnosing Parkinson's disease performed by a processor of a Parkinson's disease diagnostic device, A step of presenting one or more motor ability assessment missions and one or more non-motor ability assessment missions to a user, and collecting from the user the results of performing the one or more motor ability assessment missions and the results of performing the one or more non-motor ability assessment missions; A step of extracting one or more motor ability features and one or more non-motor ability features from the results of performing one or more motor ability evaluation missions and the results of performing one or more non-motor ability evaluation missions; and A step comprising diagnosing the presence or absence of Parkinson's disease in the user by applying at least one of a single feature and a combination of multiple features to an artificial intelligence model based on the result of extracting the above one or more motor ability features and the above one or more non-motor ability features. Methods for diagnosing Parkinson's disease.
A computer-readable recording medium storing a computer program for executing the method of claim 1 using a computer.
As a diagnostic device for Parkinson's disease, processor; and It includes a memory that is operablely connected to the processor and stores at least one code executed on the processor, When the above memory is executed through the above processor, the processor presents one or more exercise ability assessment missions and one or more non-exercise ability assessment missions to the user, and collects the results of the execution of the one or more exercise ability assessment missions and the results of the execution of the one or more non-exercise ability assessment missions from the user, and Extract one or more motor ability features and one or more non-motor ability features from the results of performing one or more motor ability evaluation missions and one or more non-motor ability evaluation missions, and Regarding the result of extracting the above one or more motor ability features and the above one or more non-motor ability features, storing a code that causes at least one of a single feature and a combination of multiple features to be applied to an artificial intelligence model to diagnose the presence or absence of Parkinson's disease in the user. Parkinson's disease diagnostic device.

Description

Apparatus and Method for Detecting Parkinson's Disease The present invention relates to a device and method for diagnosing Parkinson's disease. Parkinson's disease is a degenerative neurological disorder caused by the loss of dopamine-producing neurons, which can lead to motor dysfunction. Currently, the diagnosis of Parkinson's disease relies primarily on clinical symptoms and medical observation; however, this relies heavily on subjective judgment, making it difficult to detect the disease in its early stages. The aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot be considered as prior art disclosed to the general public prior to the filing of the present invention. FIG. 1 is an example diagram of a Parkinson's disease diagnostic environment according to the present embodiment. FIG. 2 is a block diagram illustrating the configuration of a Parkinson's disease diagnostic device according to the present embodiment. Figure 3 is a block diagram illustrating the configuration of the diagnostic management unit of the Parkinson's disease diagnostic device of Figure 2. FIGS. 4a to 4i are block diagrams illustrated to schematically explain the configuration of the diagnostic unit among the diagnostic management units according to the present embodiment. FIGS. 5a to 5h are example diagrams of a Parkinson's disease diagnosis screen provided to a user terminal (200) according to the present embodiment. FIG. 6 is a block diagram illustrating the configuration of a Parkinson's disease diagnostic device according to another embodiment. FIG. 7 is a flowchart illustrating a method for diagnosing Parkinson's disease according to the present embodiment. The advantages and features of the present invention, and the methods for achieving them, will become clear by referring to the embodiments described in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments presented below, but can be implemented in various different forms and should be understood to include all modifications, equivalents, and substitutions that fall within the spirit and scope of the present invention. The embodiments presented below are provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention. In describing the present invention, detailed descriptions of related known technologies are omitted if it is determined that such detailed descriptions may obscure the essence of the present invention. The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as “comprising” or “having” are intended to indicate the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Terms such as “first,” “second,” etc., may be used to describe various components, but the components should not be limited by these terms. These terms are used solely for the purpose of distinguishing one component from another. Additionally, in this application, "part" may be a hardware component, such as a processor or circuit, and/or a software component executed by a hardware component, such as a processor. Hereinafter, embodiments according to the present invention will be described in detail with reference to the attached drawings. In describing with reference to the attached drawings, identical or corresponding components are given the same reference numerals, and redundant descriptions thereof will be omitted. In the following embodiments, terms such as first, second, etc. are used not in a limiting sense, but for the purpose of distinguishing one component from another component. In the following embodiments, singular expressions include plural expressions unless the context clearly indicates otherwise. In the following embodiments, terms such as "include" or "have" mean that the features or components described in the specification are present, and do not preclude the possibility that one or more other features or components may be added. Where an embodiment can be implemented differently, a specific process sequence may be performed differently from the order described. For example, two processes described consecutively may be performed substantially simultaneously or proceed in the reverse order of the description. FIG. 1 is an exemplary diagram of a Parkinson's disease diagnostic environment according to the present embodiment. Referring to FIG. 1