Investigating Changes in Muscle Coordination During Cycling with Soft Wearable Strain Sensors Sensitive to Muscle Deformation.

Lucas F Gerez, Jonathan T Alvarez, Eva Debette, Oluwaseun A Araromi, Robert J Wood, Conor J Walsh
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引用次数: 0

Abstract

Continuous monitoring of muscle coordination can provide valuable information regarding an individual's performance during physical activities. For example, changes in muscle coordination can indicate muscle fatigue during exhaustive exercise or can be used to track the rehabilitation progress of patients post-injury. Traditional methods to evaluate coordination often focus solely on measuring muscle activation with electromyography, ignoring timing changes of the resultant force produced by the activated muscle. Setups designed to evaluate force directly to study muscle coordination are often limited by either hyper-constrained settings or cost-prohibitive hardware. In this paper, we employ wearable, ultra-sensitive soft strain sensors that track muscle deformation for estimating changes in muscle coordination during cycling at different cadences and to exhaustion. The results were compared to muscle activation timing measured by electromyography and peak force timing measured by a cycle ergometer. We demonstrate that with an increase in cadence, the soft strain sensor and ergometer timing metrics align more closely than those measured by electromyography. We also demonstrate how muscle coordination is altered with the onset of fatigue during cycling to exhaustion.

用对肌肉变形敏感的可穿戴软应变传感器研究自行车运动中肌肉协调的变化。
对肌肉协调性的持续监测可以提供关于个人在体育活动中表现的有价值的信息。例如,肌肉协调性的变化可以指示力竭运动期间的肌肉疲劳,或者可以用于跟踪患者受伤后的康复进展。评估协调性的传统方法通常只关注用肌电图测量肌肉激活,而忽略了激活肌肉产生的合力的时间变化。设计用于直接评估力以研究肌肉协调的设置通常受到超约束设置或成本过高的硬件的限制。在这篇论文中,我们使用了可穿戴的超灵敏软应变传感器来跟踪肌肉变形,以估计在不同节奏和疲劳的骑行过程中肌肉协调的变化。将结果与肌电图测量的肌肉激活时间和自行车测力计测量的峰值力时间进行比较。我们证明,随着节奏的增加,软应变传感器和测力计的计时指标比肌电图测量的更接近。我们还展示了肌肉协调是如何随着自行车运动中疲劳的开始而改变的。
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