Praagman M, Stokdijk M, Veeger H E, Visser B
Faculteit Bewegingswetenschappen, Vakgroep Kinesiologie, Institute for Fundamental and Clinical Human Movement Sciences, Vrije Universiteit, Van der Boechorststraat 9, 1081 BT, Amsterdam, Netherlands.
Clin Biomech (Bristol). 2000 Jun;15(5):315-21. doi: 10.1016/s0268-0033(99)00087-x.
To evaluate the relationship between net moments for the glenohumeral joint as calculated with a model that is easy to apply (Static Strength Prediction Program (SSPP)) and the internal forces, calculated with a simulation model of the human shoulder (Delft Shoulder Model, DSM).
Static recordings of bony landmarks of the shoulder girdle during prescribed arm motions using a three-dimensional (3D) digitizer.
The SSPP is a biomechanical model for the evaluation of workload. Concerning the shoulder the output of the model consists of net moments in the glenohumeral joint. For the glenohumeral joint the relationship between net joint moments and internal load predictions is unknown, therefore it is useful to investigate whether the SSPP can be used to predict mechanical load in the glenohumeral joint.
3D co-ordinates of bony landmarks of the shoulder girdle are recorded, in variable arm positions, in four different planes.
A strong linear relationship between compression forces and net moments is found, which makes it reasonable to assume a direct relationship between net moments and joint compression forces.
(a) Net joint moments appeared to be a good indicator for mechanical load in the glenohumeral joint in static situations. (b) The SSPP can be used to predict these joint moments for static situations.
biomechanical models predicting mechanical load can be used in work situations in order to prevent overload and injuries, as well as in many other areas, for instance to evaluate the mechanical load during wheelchair propulsion.
评估使用易于应用的模型（静态强度预测程序（SSPP））计算的盂肱关节净力矩与使用人体肩部模拟模型（代尔夫特肩部模型，DSM）计算的内力之间的关系。
使用三维（3D）数字化仪在规定的手臂运动过程中对肩带的骨性标志进行静态记录。
SSPP是一种用于评估工作量的生物力学模型。关于肩部，该模型的输出包括盂肱关节的净力矩。对于盂肱关节，净关节力矩与内部负荷预测之间的关系尚不清楚，因此研究SSPP是否可用于预测盂肱关节的机械负荷是有用的。
记录肩带骨性标志在四个不同平面中不同手臂位置的3D坐标。
发现压缩力与净力矩之间存在强线性关系，这使得假设净力矩与关节压缩力之间存在直接关系是合理的。
（a）在静态情况下，净关节力矩似乎是盂肱关节机械负荷的良好指标。（b）SSPP可用于预测静态情况下的这些关节力矩。
预测机械负荷的生物力学模型可用于工作场景中以防止过载和受伤，以及许多其他领域，例如评估轮椅推进过程中的机械负荷。
