Rollot Y, Lecuyer E, Chateau H, Crevier-Denoix N
UMR INRA-ENVA de Biomécanique et Pathologie Locomotrice du Cheval, Ecole Nationale Vétérinaire d'Alfort, 7, Avenue du Général de Gaulle, 94704 Maisons-Alfort, France.
Equine Vet J. 2004 Dec;36(8):677-82. doi: 10.2746/0425164044848172.
As critical locomotion events (e.g. high-speed and impacts during racing, jump landing) may contribute to tendinopathies, in vivo recording of gaits kinematic and dynamic parameters is essential for 3D reconstruction and analysis.
To propose a 3D model of the forelimb and a ground reaction force recording shoe (GRF-S) for noninvasively quantifying tendon and ligament loads and strains.
Bony segments trajectories of forelimbs placed under a power press were recorded using triads of ultrasonic kinematic markers linked to the bones. Compression cycles (from 500-6000 N) were applied for different hoof orientations. Locations of tendon and ligament insertions were recorded with regard to the triads. The GRF-S recorded GRF over the hoof wall and used four 3-axis force sensors sandwiched between a support shoe and the shoe to be tested.
Validation of the model by comparing calculated and measured superficial digital flexor tendon strains, and evaluation of the role of proximal interphalangeal joint in straight sesamoidean ligament and oblique sesamoidean ligament strains, were successfully achieved. Objective comparisons of the 3 components of GRF over the hoof for soft and hard grounds could be recorded, where the s.d. of GRF norm was more important on hard ground at walk and trot.
Soft grounds (sand and rubber) dissipate energy by lowering GRF amplitude and diminish bounces and vibrations at impact. At comparable speed, stance phase was longer on soft sand ground.
The conjugate use of the GRF-S and the numerical model would help to quantify and analyse ground/shoe combination on comfort, propulsion efficiency or lameness recovery.
由于关键的运动事件(如比赛中的高速运动和碰撞、跳跃着陆)可能导致肌腱病,对步态运动学和动力学参数进行体内记录对于三维重建和分析至关重要。
提出一种前肢的三维模型和一种地面反作用力记录鞋(GRF-S),用于非侵入性地量化肌腱和韧带的负荷及应变。
使用与骨骼相连的超声运动学标记三联组记录置于压力机下的前肢骨段轨迹。对不同蹄向施加500 - 6000 N的压缩循环。记录肌腱和韧带附着点相对于三联组的位置。GRF-S记录蹄壁上的地面反作用力,并使用四个夹在支撑鞋和待测鞋之间的三轴力传感器。
通过比较计算和测量的指浅屈肌腱应变对模型进行了验证,并成功评估了近侧指间关节在直籽骨韧带和斜籽骨韧带应变中的作用。可以记录软地面和硬地面上蹄部地面反作用力三个分量的客观比较结果,其中在行走和小跑时,硬地面上地面反作用力范数的标准差更为重要。
软地面(沙子和橡胶)通过降低地面反作用力幅度来消散能量,并减少冲击时的反弹和振动。在可比速度下,在软沙地的站立期更长。
GRF-S与数值模型的联合使用将有助于量化和分析地面/鞋的组合对舒适性、推进效率或跛行恢复的影响。