人体爬行运动信号检测与处理的研究进展

Review on signal detection and processing of human crawling

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。

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.