[1]熊启亮,王余珊,陈曦.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[J].中国医学物理学杂志,2022,39(6):737-742.[doi:DOI:10.3969/j.issn.1005-202X.2022.06.014]
　XIONG Qiliang,WANG Yushan,CHEN Xi.Design and preliminary implementation of inter-joint coordination measurement and analysis system based on acceleration sensors for crawling children with cerebral palsy[J].Chinese Journal of Medical Physics,2022,39(6):737-742.[doi:DOI:10.3969/j.issn.1005-202X.2022.06.014]
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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()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
39卷
期数:
2022年第6期
页码:
737-742
栏目:
医学信号处理与医学仪器
出版日期:
2022-06-27

文章信息/Info

Title:
Design and preliminary implementation of inter-joint coordination measurement and analysis system based on acceleration sensors for crawling children with cerebral palsy
文章编号:
1005-202X（2022）06-0737-06
作者:
熊启亮; 王余珊; 陈曦
南昌航空大学生物医学工程系， 江西 南昌 330063
Author(s):
XIONG Qiliang;  WANG Yushan;  CHEN Xi
Department of Biomedical Engineering, Nanchang Hangkong University, Nanchang 330063, China
关键词:
脑瘫; 爬行; 加速度传感器; 关节协同
Keywords:
cerebral palsy crawling acceleration sensor inter-joint coordination
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2022.06.014
文献标志码:
A
摘要:
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。
Abstract:
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.

相似文献/References:

[1]杜文静,李慧奇,李慧慧,等. 脑瘫儿童下肢肌电信号和踝关节角度特性分析[J].中国医学物理学杂志,2017,34(3):259.[doi:10.3969/j.issn.1005-202X.2017.03.009]
　[J].Chinese Journal of Medical Physics,2017,34(6):259.[doi:10.3969/j.issn.1005-202X.2017.03.009]
[2]张靖,韦新艳,韦娟,等. 表面肌电图评估脑瘫儿童口部运动训练康复的治疗效果[J].中国医学物理学杂志,2017,34(12):1267.[doi:DOI:10.3969/j.issn.1005-202X.2017.12.015]
　ZHANG Jing,WEI Xinyan,WEI Juan,et al. Application of surface electromyography-guided oral motor rehabilitation training for children with cerebral palsy[J].Chinese Journal of Medical Physics,2017,34(6):1267.[doi:DOI:10.3969/j.issn.1005-202X.2017.12.015]
[3]熊启亮,谌颖,莫杰义,等.基于加速度信号的人体爬行与步行过程中多关节协同运动模式对比[J].中国医学物理学杂志,2023,40(7):884.[doi:DOI:10.3969/j.issn.1005-202X.2023.07.015]
　XIONG Qiliang,CHEN Ying,MO Jieyi,et al.Comparison of inter-joint synergies during human crawling and walking based on acceleration signals[J].Chinese Journal of Medical Physics,2023,40(6):884.[doi:DOI:10.3969/j.issn.1005-202X.2023.07.015]

备注/Memo

备注/Memo:
【收稿日期】2021-11-19 【基金项目】国家自然科学基金（32000979, 31971287）；江西省自然科学基金（20202BAB216019）；江西省教育厅科技项目（GJJ190512） 【作者简介】熊启亮，博士，讲师，研究方向：生物医学信号检测与处理、运动康复，E-mail: 70898@nchu.edu.cn
更新日期/Last Update: 2022-06-27