使用静态测功仪测量定向用力时下肢肌肉活动和关节力矩的模式。

BMC biomedical engineering Pub Date : 2020-01-08 eCollection Date: 2020-01-01 DOI:10.1186/s42490-019-0035-7
Mathieu Lalumiere, Cloé Villeneuve, Cassandra Bellavance, Michel Goyette, Daniel Bourbonnais
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引用次数: 1

摘要

背景:通常在健康受试者中发现的下肌群的力量和协调是进行功能性活动的两个先决条件。这些身体素质会在神经损伤后受损。开发了一种静态测力计装置,用于测量足部定向努力时的下肢关节力矩,以招募不同模式的肌肉活动。本研究的目的是1)验证仪器估计的关节力矩,2)表征健康受试者在渐进静态努力过程中的下肢关节力矩和肌肉活动模式。受试者以半斜倚的姿势坐着,一只脚固定在与实验室计算机连接的受力平台上。使用逆动力学计算脚底施加的力和力矩,从而可以估计下肢关节力矩。为了实现研究的第一个目标,通过比较安装了应变片的仪器腿上旋转扣施加的不同大小的力的力矩与仪器估计的力矩来验证关节力矩。并发效度和一致性分别采用Pearson相关系数和Bland和Altman分析进行评估。对于第二个目标,研究了5名健康受试者在8个矢状方向上施加渐进式用力时的关节力矩和肌肉活动。利用逆动力学方法估计了定向努力过程中的下肢关节力矩。使用表面电极记录下肢8块肌肉的肌肉活动,并使用标准化均方根数据进一步分析。结果:测得的关节力矩与测功机测得的关节力矩呈显著相关(r > 0.999)。两种装置计算的平均关节力矩的一致限度在8.5到19.2%之间。在器械上的渐进式用力过程中,关节力矩和肌肉活动模式是特定于用力方向的。四个方向的肌肉活动模式与文献中报道的步态周期特定部分的激活模式相似。结论:该器械提供了有效的下肢关节力矩。建议将这种方法用于招募神经系统人群中受损的肌肉活动模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Patterns of lower limb muscular activity and joint moments during directional efforts using a static dynamometer.

Background: Strength and coordination of lower muscle groups typically identified in healthy subjects are two prerequisites to performing functional activities. These physical qualities can be impaired following a neurological insult. A static dynamometer apparatus that measures lower limb joint moments during directional efforts at the foot was developed to recruit different patterns of muscular activity. The objectives of the present study were to 1) validate joint moments estimated by the apparatus, and 2) to characterize lower limb joint moments and muscular activity patterns of healthy subjects during progressive static efforts. Subjects were seated in a semi-reclined position with one foot attached to a force platform interfaced with a laboratory computer. Forces and moments exerted under the foot were computed using inverse dynamics, allowing for the estimation of lower limb joint moments.To achieve the study's first objective, joint moments were validated by comparing moments of various magnitudes of force applied by turnbuckles on an instrumented leg equipped with strain gauges with those estimated by the apparatus. Concurrent validity and agreement were assessed using Pearson correlation coefficients and Bland and Altman analysis, respectively. For the second objective, joint moments and muscular activity were characterized for five healthy subjects while exerting progressive effort in eight sagittal directions. Lower limb joint moments were estimated during directional efforts using inverse dynamics. Muscular activity of eight muscles of the lower limb was recorded using surface electrodes and further analyzed using normalized root mean square data.

Results: The joint moments estimated with the instrumented leg were correlated (r > 0.999) with those measured by the dynamometer. Limits of agreement ranged between 8.5 and 19.2% of the average joint moment calculated by both devices. During progressive efforts on the apparatus, joint moments and patterns of muscular activity were specific to the direction of effort. Patterns of muscular activity in four directions were similar to activation patterns reported in the literature for specific portions of gait cycle.

Conclusion: This apparatus provides valid joint moments exerted at the lower limbs. It is suggested that this methodology be used to recruit muscular activity patterns impaired in neurological populations.

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