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Motion function evaluation method for Parkinson's disease patient based on MEMS sensor

A technology of motor function evaluation and sensors, which is applied in the directions of sensors, medical science, diagnostic recording/measurement, etc., and can solve problems such as models that are rarely considered

Active Publication Date: 2022-04-08
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While other locomotion tasks, such as turning, are rarely considered in current models

Method used

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  • Motion function evaluation method for Parkinson's disease patient based on MEMS sensor
  • Motion function evaluation method for Parkinson's disease patient based on MEMS sensor
  • Motion function evaluation method for Parkinson's disease patient based on MEMS sensor

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] One, such as figure 1 As shown, the subject wears five wireless inertial sensors to collect motion sensing data, and fuses the information of the lower limbs and waist to build a motion evaluation model. The nine-axis sensor includes a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer. Two of the sensors are placed on the insteps of the left and right feet and fixed with 3M double-sided adhesive tape. The two sensors are respectively fixed on the left and right calf positions. , a transducer was placed at the posterior superior iliac spine and fixed with an elastic band; sampling was performed at a frequency of 100 Hz. Participants were asked to first perform a static trial while standing still with their feet 15 cm apart. During the walk test, he / she performs such figure 2 Shown "go straight - ...

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Abstract

The invention discloses a motion function evaluation method for a Parkinson's disease patient based on an MEMS sensor. The method comprises the following steps: firstly, carrying out data acquisition on a group of straight movement and turning gait tasks by a subject; carrying out gait HS, FF, HO and TO four-period detection by adopting a rule-based threshold value and peak value detection method, and calculating stride time, support phase time and swing phase time; performing multi-task identification by adopting a rule-based threshold detection method, and outputting turning and straight-going task types; and calculating the step length and the step speed by combining a step length estimation algorithm of double integration and acceleration compensation. The precision meets the requirement of motion analysis, gait evaluation can be effectively and accurately carried out on the Parkinson's disease patient, and a technical basis is provided for clinical motion evaluation of the PD patient.

Description

technical field [0001] The present invention relates to the field of motion evaluation, in particular to a MEMS (Micro-Electro-Mechanicalsystem, micro-electromechanical system) sensor-based motion evaluation system for Parkinson's patients under multitasking, specifically the motor function of Parkinson's patients based on MEMS sensors assessment method. Background technique [0002] Parkinson's disease (Parkinson's disease, PD) is the second most common neurodegenerative disease after Alzheimer's disease, caused by damage to the nigrostriatal ganglion in the brain. Muscle stiffness, tremor, unstable posture, freezing gait and other movement disorders are common clinically, which have a great negative impact on the quality of life of PD patients. Since PD cannot be cured, early diagnosis and therapeutic intervention can effectively delay the progression of the disease. However, at present, the clinical diagnosis of PD patients is mainly based on the subjective observation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/11
Inventor 孟琳杨一凡明东庞珺徐瑞
Owner TIANJIN UNIV
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