基于加速度信号的脑瘫儿爬行多关节协同运动测量与分析系统的设计及初步实现

Design and preliminary implementation of inter-joint coordination measurement and analysis system based on acceleration sensors for crawling children with cerebral palsy

脑瘫性运动功能障碍在婴幼儿运动发育早期的爬行阶段通常表现为兔跳样、共济失调、左右摇摆等异常爬行姿态,但是临床上对上述脑瘫儿异常爬行姿态的评价仍缺乏客观、量化的测量技术或方法。为此,基于加速度传感器和协同运动分析理论设计一款面向临床脑瘫儿异常爬行姿态的测量与分析系统,其主要包括以下功能:(1)基于MPU9250传感器的爬行运动加速度信号采集;(2)基于加速度信号以及非负矩阵分解算法的关节协同运动分析。本设计可以初步实现对人体爬行过程中四肢主要运动关节加速度信号的采集、存储以及多关节之间协同运动特征分析。

Motor dysfunction of cerebral palsy is usually characterized by abnormal crawling postures such as rabbit-hopping,ataxia and left-right swaying in the early crawling stage, but there is still a lack of objective and quantized measurement methods for clinical evaluation of these abnormal crawling postures in children with cerebral palsy. Based on acceleration sensors and inter-joint coordination analysis theory, a measurement and analysis system is designed for abnormal crawling postures in children with cerebral palsy. The system mainly includes the following functions:(1) acceleration data acquisition based on MPU9250 sensors;(2) inter-joint coordination analysis based on acceleration signals and non-negative matrix decomposition algorithm. The design initially implements the acquisition and storage of acceleration data from the main joints of limbs during crawling, as well as realizes the feature analysis on inter-joint coordination.