目的 建立手部抓握的骨骼肌生物力学模型并进行逆向动力学仿真，得到不同受力时手部抓握过程各参与肌肉的最大肌肉力。方法 选择一名志愿者对其手部进行CT扫描得到其手部CT数据，将数据导入MIMICS软件进行三维重建得到各节骨的模型，通过Geomagic studio重新调整模型坐标后导入AnyBody软件，并使用AnyBody软件建立出手部骨骼运动学模型，添加参与各手指屈曲的相关肌肉，得到手部的骨骼肌模型。使用该模型进行手部抓握的逆向动力学仿真。结果 分别在各远节指骨上施加5N~30N不同数值的外力后，得到各肌肉在整个运动过程中的最大肌肉力，随着力的增大，各肌肉的最大肌肉力也呈线性趋势增大，如拇长屈肌的最大肌肉力从18.49N增大到110.93N；且在外力5N时手指抓握过程中拇短屈肌、拇长屈肌、拇收肌、小指短屈肌的最大肌肉力为7.70N、18.49N、9.49N、8.39N，指浅屈肌、指深屈肌在各手指运动过程的肌肉力远大于其它肌肉，对手部抓握起主要作用。结论 通过计算机建立模型进行仿真分析，高效的完成难以通过实验完成的研究；结果得到的参与手部抓握的各肌肉在不同阻力时的最大肌肉力，以及主要肌肉的肌肉力与关节角度的关系可为评价脑卒中患者手部康复效果提供指导及参考，也可以为康复设备制造提供一定的理论依据。
Abstract: Objective To establish a biomechanical model of skeletal muscle of hand grasping and carry out reverse dynamics simulation to obtain the maximum muscle force of each muscle involved in the process of hand grasping under different forces. Methods CT scanning was performed on a volunteer's hand to obtain the CT data of his hand. The data were imported into Mimics software for 3D reconstruction to obtain the bone models of each segment After adjusting the model coordinates, studio imported the software of anybody, and used the software of anybody to establish the kinematics model of the hand skeleton, and added the related muscles involved in the flexion of each finger to get the skeletal muscle model of the hand. The model is used to simulate the reverse dynamics of hand grasping. Results The maximum muscle force of each muscle in the whole movement process was obtained after the external force of 5N ~ 30N was applied to each distal phalanx. With the increase of force, the maximum muscle force of each muscle showed a linear trend. For example, the maximum muscle force of flexor pollicis longus increased from 18.49n to 110.93n; and when the external force was 5N, the flexor pollicis brevis, flexor pollicis longus, adductor pollicis and little finger were obtained The maximum muscle force of short flexor was 7.70n, 18.49n, 9.49n and 8.39n. The muscle force of superficial and deep flexors was much greater than that of other muscles in the process of finger movement, which played a major role in grasping the hand. Conclusion The computer model for simulation analysis can effectively complete the research which is difficult to be completed by experiment; the results of the maximum muscle force of the muscles involved in the hand grasping at different resistance, and the relationship between muscle force of main muscles and joint angle can provide guidance and reference for the evaluation of hand rehabilitation effect of stroke patients, and also provide certain theoretical basis for the manufacture of rehabilitation equipment.