[1]莫杰义,刘苑,万金亮,等.人体爬行运动信号检测与处理的研究进展[J].中国医学物理学杂志,2024,41(6):754-760.[doi:DOI:10.3969/j.issn.1005-202X.2024.06.014]
　MO Jieyi,LIU Yuan,WAN Jinliang,et al.Review on signal detection and processing of human crawling[J].Chinese Journal of Medical Physics,2024,41(6):754-760.[doi:DOI:10.3969/j.issn.1005-202X.2024.06.014]
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人体爬行运动信号检测与处理的研究进展()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第6期
页码:
754-760
栏目:
医学信号处理与医学仪器
出版日期:
2024-06-25

文章信息/Info

Title:
Review on signal detection and processing of human crawling
文章编号:
1005-202X（2024）06-0754-07
作者:
莫杰义1; 刘苑2; 万金亮1; 谌颖1; 熊启亮1
1.南昌航空大学测试与光电工程学院， 江西 南昌 330063； 2.重庆医科大学附属儿童医院康复科， 重庆 400044
Author(s):
MO Jieyi1;  LIU Yuan2;  WAN Jinliang1;  CHEN Ying1;  XIONG Qiliang1
1. School of Testing and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang 330063, China 2. Department of Rehabilitation, Childrens Hospital of Chongqing Medical University, Chongqing 400044, China
关键词:
爬行运动; 传感器; 信号处理; 运动学; 动力学; 综述
Keywords:
Keywords: crawling sensor signal processing kinematics dynamics review
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2024.06.014
文献标志码:
A
摘要:
爬行是幼儿粗大运动发育的重要标志，同时也是运动障碍患者重要的康复训练手段，准确评价人体爬行运动状态对于了解幼儿粗大运动发育进程以及运动障碍患者康复疗效等具有重要的临床应用价值。因此，近年来许多研究尝试通过检测分析人体爬行过程中的运动生理信号来实现对爬行状态的量化评价，但目前缺乏针对人体爬行运动信号检测与处理的整理工作，本文对相关研究进行系统综述。首先，从惯性传感器、压力传感器、表面肌电等角度介绍目前面向人体爬行运动信号检测的主流方法；然后，依次介绍针对人体爬行运动信号进行周期分割、运动学分析、动力学分析等内容，其中立足于运动协同理论，详细总结人体爬行运动过程中关节协同运动、肌肉协同收缩方面的研究进展；最后，对当前人体爬行运动分析存在的问题和未来的发展方向进行讨论及展望。
Abstract:
Abstract: Crawling is a significant sign of gross motor development in infants, and also an important means of rehabilitation training for patients with motor disorders. The accurate measurement of the motion state during human crawling is essential for evaluating the gross motor developmental process in infants and the rehabilitation outcome of patients with motor disorders. In recent years, many studies have attempted to quantitatively evaluate the motion state by detecting physiological signals during human crawling, but there is a lack of overview on human crawling motion signal acquisition and processing. Herein the detection and processing methods for motion signals during human crawling and relevant researches are reviewed. The mainstream methods for detecting motion signals during human crawling are introduced from the perspectives of inertial sensors, pressure sensors, and surface electromyography. Then, the signal processing and analysis such as periodic segmentation, kinematic analysis, and dynamic analysis in human crawling are summarized. Based on the theory of motion coordination, the research advances in joint synergy and muscle synergy during human crawling are elaborated. Finally, the current problems and future development directions of motion analysis for human crawling are discussed.

相似文献/References:

[1]卢莉蓉,周晋阳,曹文君.基于免疫的遗传模拟退火算法在传感器非线性校正中的应用[J].中国医学物理学杂志,2016,33(4):368.[doi:10.3969/j.issn.1005-202X.2016.04.009]
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[2]朱燕艺,赵澎,陈超敏.便携式微型医用负压治疗仪研制[J].中国医学物理学杂志,2022,39(7):875.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.015]
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备注/Memo

备注/Memo:
【收稿日期】2023-12-11 【基金项目】国家自然科学基金（32000979）； 江西省自然科学基金（20232BAB206134）；南昌航空大学博士启动金（EA202208059） 【作者简介】莫杰义，硕士，研究方向：信号处理与智能分析，E-mail: 1005362980@qq.com 【通信作者】熊启亮，博士，副教授，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: 2024-06-25