Parkinson's disease monitoring method and device and storage medium

Abstract

The invention provides a Parkinson's disease monitoring method and device and a storage medium. The Parkinson's disease monitoring method comprises the steps of acquiring a video picture from pre-installed acquisition equipment; obtaining a monitoring user picture according to the video picture; identifying human body contours of the monitored user pictures to obtain a plurality of monitored userhuman body contours, and obtaining action behavior information according to the plurality of monitored user human body contours, the action behavior information comprising state parameters in a staticstate and state parameters in a motion state; and comparing the state parameters in the static state and the state parameters in the motion state with corresponding preset action thresholds respectively, judging whether the user is in a suspected illness state or not according to a comparison result, and if so, sending a judgment result to a specified terminal. According to the Parkinson's disease monitoring method, the technical difficulties are reduced, meanwhile, a user can be monitored in real time, and information about whether suspected disease occurs or not can be obtained through automatic analysis, and related personnel are informed in time to perform prevention and attention.

Description

technical field [0001] The present invention mainly relates to the technical field of medical monitoring, in particular to a Parkinson's disease monitoring method, device and storage medium. Background technique [0002] Today, with the aging population in the world, more and more people will suffer from neurodegenerative degenerative movement disorders, and the high disability rate of movement disorders has brought a huge burden to families and society. Unfortunately, so far there is no effective treatment for this condition. However, early diagnosis and early intervention of the disease are extremely important for delaying the progress of the disease. Nowadays, the clinical diagnosis of such diseases mainly relies on some subjective methods, such as the UPDRS scale survey. The survey process is cumbersome and time-consuming, wastes a lot of human resources, and the results are still extremely subjective. Therefore, many researchers are committed to creating a method for ...

AI Technical Summary

Problems solved by technology

Nowadays, the clinical diagnosis of such diseases mainly relies on some subjective methods, such as the UPDRS scale survey. The survey process is cumbersome and time-consuming, wastes a lot of human resources, and the results are still extremely subjective.

Therefore, many researchers are committed to creating a method for accurately diagnosing such diseases through structured analysis of signals collected by devices such as inertial sensors. However, the method of using inertial sensor devices is not only inconvenient to use but also expensive. very high

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