Measurement and Simulation of Biarticular Muscle Function During Human Walking

人类行走过程中双关节肌肉功能的测量与模拟

• 批准号: 7739573
• 负责人: DARRYL G THELEN
• 金额: $ 20.05万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7739573
• 关键词: Address; Affect; Botulinum Toxins; Cerebral Palsy; Child; Classification; Clinical Treatment; Computational Technique; Computer Simulation; Data; Distal; Dyskinetic syndrome; Electric Stimulation; Ensure; Evaluation; Flexor; Gait; Gait abnormality; Goals; Heel; Hip region structure; Human; Impairment; Individual; Injection of therapeutic agent; Intervention; Joints; Knee; Length; Limb structure; Locomotion; Measurement; Measures; Medial; Metabolic; Methods; Modeling; Monitor; Motion; Movement; Muscle; Muscle function; Musculoskeletal; Musculoskeletal System; Operative Surgical Procedures; Outcome; Outcome Study; Patients; Pattern; Phase; Physiologic pulse; Posture; Procedures; Property; Rehabilitation therapy; Research; Research Personnel; Role; Simulate; Speed; Systems Analysis; Tendon Transfer; Testing; Time; Toes; Training; Upper arm; Walking; base; cost; crouch gait; disability; effective intervention; improved; instrument; interest; kinematics; nervous system disorder; public health relevance; research study; response; simulation; soft tissue; transmission process; treatment strategy

DESCRIPTION (provided by applicant): The objective of this research is to measure and simulate the function of biarticular muscles during human walking. The clinical treatment of locomotor impairments often includes targeted surgical and rehabilitative interventions performed on biarticular muscles. However, it can be extremely challenging to predict a priori how different treatments will alter an individual's gait. Computational models of the musculoskeletal system provide a systematic way of predicting how muscles actuate movement. It has previously been shown that model predictions are often non-intuitive, and sometimes inconsistent with assumptions that underlie current treatment strategies. However, the accuracy of the model predictions has not been established, which limits the impact of the models on treatment. The investigators in this study use electrical stimulation experiments to directly measure how two biarticular muscles, the rectus femoris and hamstrings, biomechanically function during walking. Abnormal activation of these muscles is often implicated as a cause of gait abnormalities that are characterized by diminished knee flexion during the swing phase of walking, and/or excessive knee flexion during the stance phase. In the experiments, subjects walk at a constant speed on an instrumented, split-belt treadmill. At select phases of a random gait cycle, electrical muscle stimulation is then used to alter the normal activation of the rectus femoris or hamstrings. The resulting perturbations to walking kinematics are recorded using a motion analysis system. Comparison of un-perturbed and perturbed walking provides a basis of assessing the movement induced by the individual muscles. The data are used to test the hypotheses that over-activation of the rectus femoris during stance induces a more extended limb during swing, while over-activation of the hamstrings during swing induces a more flexed limb during stance. Measurements are compared to computational model predictions, so as to rigorously evaluate the accuracy of assumptions regarding musculoskeletal geometry and muscle force transmission paths. The anticipated outcomes of this study are an enhanced understanding of biarticular muscle function during walking, and improved confidence in the use of computational models to evaluate surgical and rehabilitative treatments of locomotor impairments. PUBLIC HEALTH RELEVANCE: Locomotion impairments are common among individuals with neurological disorders such as cerebral palsy. Abnormal movement patterns can greatly increase the metabolic cost of walking and contribute to long-term joint degeneration and physical disability. For this reason, surgical and/or rehabilitative treatments are often used to try to correct abnormal gait patterns. However, it can be challenging to predict how different treatment options will affect a patient's gait. This study uses experimental and computational techniques to assess how muscles function normally during walking, so as to contribute to a scientific basis for establishing effective interventions.

描述（由申请人提供）：本研究的目的是测量和模拟人类行走过程中双关节肌肉的功能。运动障碍的临床治疗通常包括对双关节肌肉进行有针对性的手术和康复干预。然而，先验预测不同的治疗将如何改变个体的步态可能极具挑战性。肌肉骨骼系统的计算模型提供了一种预测肌肉如何驱动运动的系统方法。先前的研究表明，模型预测通常不直观，有时与当前治疗策略的假设不一致。然而，模型预测的准确性尚未确定，这限制了模型对治疗的影响。这项研究的研究人员使用电刺激实验来直接测量两块双关节肌肉（股直肌和腿筋）在行走过程中的生物力学功能。这些肌肉的异常激活通常是导致步态异常的原因，步态异常的特征是在行走的摆动阶段膝关节屈曲减弱，和/或在站立阶段膝关节过度屈曲。在实验中，受试者在配有仪器的分带式跑步机上以恒定速度行走。在随机步态周期的选定阶段，使用肌肉电刺激来改变股直肌或腿筋的正常激活。使用运动分析系统记录由此产生的对行走运动学的扰动。未受干扰和受干扰行走的比较为评估个体肌肉引起的运动提供了基础。这些数据用于测试以下假设：站立期间股直肌的过度激活会导致摆动期间肢体更加伸展，而摆动期间腿筋的过度激活会导致站立期间肢体更加弯曲。将测量结果与计算模型预测进行比较，以便严格评估有关肌肉骨骼几何形状和肌肉力传递路径的假设的准确性。这项研究的预期结果是增强对步行过程中双关节肌肉功能的了解，并提高使用计算模型评估运动障碍的手术和康复治疗的信心。公共卫生相关性：运动障碍在脑瘫等神经系统疾病患者中很常见。异常的运动模式会大大增加步行的代谢成本，并导致长期的关节退化和身体残疾。因此，经常使用手术和/或康复治疗来尝试纠正异常的步态模式。然而，预测不同的治疗方案将如何影响患者的步态可能具有挑战性。这项研究利用实验和计算技术来评估步行过程中肌肉的正常功能，从而为建立有效的干预措施提供科学依据。