Data processing method for assisting in disease diagnosis based on daily necessities and diagnostic device

Abstract

The invention belongs to the field of digital treatment, and specifically relates to a data processing method for assisting in disease diagnosis based on daily necessities and a diagnostic device. Thus, early screening and auxiliary diagnosis can be performed on nervous system diseases such as motor dysfunction by utilizing auxiliary sensors added on daily necessities. The purpose of the inventionis to, for the nervous system diseases such as the motor dysfunction, utilize the daily necessities used for daily meals to effectively and quantitatively evaluate hand movement functions by adding the auxiliary sensors to implicitly collect and analyze user behavior data. User data signals are collected by a motion sensor; the relevant characteristics of diseases are extracted, and a user data model is established by combining machine learning algorithms; and therefore, the performance of the hand movement functions of users in activities of daily living can be scored, and foundations can beestablished for the early screening and auxiliary diagnosis of the diseases.

Description

technical field [0001] The invention belongs to the field of digital medical treatment, and in particular relates to a data processing method and a diagnostic device for early screening and auxiliary diagnosis of neurological diseases such as motor dysfunction through common items in daily life. Background technique [0002] The incidence of neurological diseases, such as Parkinson's, small vessel disease, ataxia, dementia, etc., is on the rise worldwide. These diseases can lead to severe motor dysfunction, including hand motor dysfunction, upper limb motor dysfunction and lower limb motor dysfunction, etc., which have the characteristics of high mortality and high disability rate, seriously affect the life expectancy and quality of life of patients, and bring great harm to the society. and a heavy burden on the family. [0003] Existing methods for diagnosing nervous system diseases mainly rely on empirical and qualitative judgments on changes in nervous system functions a...

AI Technical Summary

Problems solved by technology

[0006] Although these studies can effectively improve the efficiency of diagnosis and treatment and reduce the workload of medical staff, they all require some specific tools or venues, and cannot achieve real-time detection and early warning, which is contrary to the principle of early detection and early treatment of new medical care

At the same time, the task-based detection process will interfere with the patient's psychology and behavior to a certain extent, affecting the accuracy of the final evaluation results.

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