Gait monitoring apparatus for Parkinson's disease

Abstract

The invention provides a gait monitoring apparatus for Parkinson's disease. The apparatus comprises an angle collection module, a motion information collection module, a GPS collection module, an effective duration analysis module, an effective change analysis module and a comprehensive detection module, wherein the angle collection module, the motion information collection module and the GPS collection module are respectively used to obtain a gyroscope deflection angle value, motion information, and GPS positioning information from a gyroscope, a linear accelerometer, and smart equipment, theeffective duration analysis module is used to obtain an effective motion duration, a start time of effective motions and an end time of the effective motions based on the GPS positioning information,and the effective change analysis module is used to perform analysis based on the gyroscope deflection angle value, the motion information, the start time of the effective motions and the end time ofthe effective motions to obtain a total duration of continuous effective changes. The apparatus can monitor neurological disease dyskinesia symptoms in real time, reduces the working time of medicalstaff, reduces the monitoring cost, and improves the working efficiency of medical staff.

Description

technical field [0001] The invention mainly relates to the technical field of medical monitoring, in particular to a gait monitoring device for Parkinson's disease. 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. The current 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, wasting a lot of human resources, but the results are still extremely subjective. Therefore, many researchers are committed to creating a method for accurately diagnosing such ...

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, and wastes a lot of human resources, but 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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