轮椅推进过程中肩部机制的肌肉力量分析
Muscle forces analysis in the shoulder mechanism during wheelchair propulsion.
作者信息
Lin Hwai-Ting, Su Fong-Chin, Wu Hong-Wen, An Kai-Nan
机构信息
Institute of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan, Republic of China.
出版信息
Proc Inst Mech Eng H. 2004;218(4):213-21. doi: 10.1243/0954411041561027.
This study combines an ergometric wheelchair, a six-camera video motion capture system and a prototype computer graphics based musculoskeletal model (CGMM) to predict shoulder joint loading, muscle contraction force per muscle and the sequence of muscular actions during wheelchair propulsion, and also to provide an animated computer graphics model of the relative interactions. Five healthy male subjects with no history of upper extremity injury participated. A conventional manual wheelchair was equipped with a six-component load cell to collect three-dimensional forces and moments experienced by the wheel, allowing real-time measurement of hand/rim force applied by subjects during normal wheelchair operation. An ExpertVision six-camera video motion capture system collected trajectory data of markers attached on anatomical positions. The CGMM was used to simulate and animate muscle action by using an optimization technique combining observed muscular motions with physiological constraints to estimate muscle contraction forces during wheelchair propulsion. The CGMM provides results that satisfactorily match the predictions of previous work, disregarding minor differences which presumably result from differing experimental conditions, measurement technologies and subjects. Specifically, the CGMM shows that the supraspinatus, infraspinatus, anterior deltoid, pectoralis major and biceps long head are the prime movers during the propulsion phase. The middle and posterior deltoid and supraspinatus muscles are responsible for arm return during the recovery phase. CGMM modelling shows that the rotator cuff and pectoralis major play an important role during wheelchair propulsion, confirming the known risk of injury for these muscles during wheelchair propulsion. The CGMM successfully transforms six-camera video motion capture data into a technically useful and visually interesting animated video model of the shoulder musculoskeletal system. The CGMM further yields accurate estimates of muscular forces during motion, indicating that this prototype modelling and analysis technique will aid in study, analysis and therapy of the mechanics and underlying pathomechanics involved in various musculoskeletal overuse syndromes.
本研究结合了一台测力计轮椅、一个六摄像头视频动作捕捉系统以及一个基于计算机图形学的肌肉骨骼模型原型(CGMM),以预测轮椅推进过程中肩关节的负荷、每块肌肉的收缩力以及肌肉动作顺序,还提供了相对相互作用的动画计算机图形模型。五名无上肢损伤史的健康男性受试者参与了研究。一辆传统手动轮椅配备了一个六分量测力传感器,以收集轮子所承受的三维力和力矩,从而能够实时测量受试者在正常轮椅操作过程中施加在手柄/轮辋上的力。一个ExpertVision六摄像头视频动作捕捉系统收集附着在解剖位置上的标记物的轨迹数据。CGMM通过使用一种优化技术来模拟和呈现肌肉动作,该技术将观察到的肌肉运动与生理约束相结合,以估计轮椅推进过程中的肌肉收缩力。CGMM得出的结果与先前研究的预测结果令人满意地匹配,尽管存在一些细微差异,这些差异可能是由不同的实验条件、测量技术和受试者导致的。具体而言,CGMM表明,在推进阶段,冈上肌、冈下肌、三角肌前部、胸大肌和肱二头肌长头是主要的动力肌。在恢复阶段,三角肌中部和后部以及冈上肌负责手臂的回位。CGMM建模表明,肩袖肌群和胸大肌在轮椅推进过程中发挥着重要作用,这证实了这些肌肉在轮椅推进过程中已知的受伤风险。CGMM成功地将六摄像头视频动作捕捉数据转化为一个在技术上有用且视觉上有趣的肩部肌肉骨骼系统动画视频模型。CGMM还进一步准确估计了运动过程中的肌肉力量,表明这种原型建模和分析技术将有助于研究、分析和治疗各种肌肉骨骼过度使用综合征所涉及的力学及潜在病理力学。