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正常成年人行走时个体肌肉力量产生的估计值。

Estimates of individual muscle power production in normal adult walking.

作者信息

Bogey Ross A, Barnes Lee A

机构信息

Physical Medicine and Rehabilitation Residency Program, Casa Colina Hospital and Centers for Healthcare, 255 East Bonita Avenue, Pomona, CA, 91769, USA.

B&L Engineering, 1901 Carnegie Avenue, Suite Q Santa Ana, Santa Ana, CA, 92705, USA.

出版信息

J Neuroeng Rehabil. 2017 Sep 11;14(1):92. doi: 10.1186/s12984-017-0306-2.

Abstract

BACKGROUND

The purpose of this study was to determine the contribution of individual hip muscles to the net hip power in normal adult self-selected speed walking. A further goal was to examine each muscle's role in propulsion or support of the body during that task.

METHODS

An EMG-to-force processing (EFP) model was developed which scaled muscle-tendon unit (MTU) force output to gait EMG. Active muscle power was defined as the product of MTU forces (derived from EFP) and that muscle's contraction velocity. Passive hip power was estimated from passive moments associates with hip position (angle of flexion (extension)) and the hip's angular velocity. Net hip EFP power was determined by summing individual active hip muscle power plus the net passive hip power at each percent gait cycle interval. Net hip power was also calculated for these study participants via inverse dynamics (kinetics plus kinematics, KIN). The inverse dynamics technique - well accepted in the biomechanics literature - was used as a "gold standard" for validation of this EFP model. Closeness of fit of the power curves of the two methods was used to validate the model.

RESULTS

The correlation between the EFP and KIN methods was sufficiently close, suggesting validation of the model's ability to provide reasonable estimates of power produced by individual hip muscles. Key findings were that (1) most muscles undergo a stretch-shorten cycle of muscle contraction, (2) greatest power was produced by the hip abductors, and (3) the hip adductors contribute to either hip adduction or hip extension (but not both).

CONCLUSIONS

The EMG-to-force processing approach provides reasonable estimates of individual hip muscle forces in self-selected speed walking in neurologically-intact adults.

摘要

背景

本研究的目的是确定正常成年个体在自选速度行走时,各髋部肌肉对髋部净功率的贡献。另一个目标是研究在该任务中每块肌肉在推动或支撑身体方面的作用。

方法

开发了一种肌电图到力的处理(EFP)模型,该模型将肌肉-肌腱单元(MTU)的力输出与步态肌电图进行了比例缩放。主动肌肉功率定义为MTU力(源自EFP)与该肌肉收缩速度的乘积。被动髋部功率通过与髋部位置(屈曲(伸展)角度)和髋部角速度相关的被动力矩来估计。在每个步态周期百分比间隔处,通过将各主动髋部肌肉功率与净被动髋部功率相加来确定髋部净EFP功率。还通过逆动力学(动力学加运动学,KIN)为这些研究参与者计算了髋部净功率。逆动力学技术——在生物力学文献中已被广泛接受——被用作验证该EFP模型的“金标准”。使用两种方法的功率曲线拟合紧密程度来验证模型。

结果

EFP和KIN方法之间的相关性足够紧密,表明该模型有能力对各髋部肌肉产生的功率提供合理估计这一能力得到了验证。关键发现是:(1)大多数肌肉经历肌肉收缩的拉长-缩短周期;(2)髋外展肌产生的功率最大;(3)髋内收肌对髋内收或髋伸展有贡献(但不是两者都有)。

结论

肌电图到力的处理方法能够对神经功能正常的成年人在自选速度行走时各髋部肌肉的力量提供合理估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74f2/5594470/0fe72e837ee4/12984_2017_306_Fig1_HTML.jpg

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