A Correction Method for Muscle Stiffness Sensors to Measure Transversus Abdominis Activity

Shunsuke Nakamae, Takayuki Tanaka, K. Shimatani
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Abstract

The transversus abdominis muscle is important for various human functions, including the prevention of back pain and the use of muscle activity values as an indicator for the treatment of urinary incontinence. Measuring muscle activity is an effective means of evaluating whether correct training has been performed. The transversus abdominis muscle stiffness sensor developed in a previous study used a method in which a belt with a sensor attached was wrapped around the lower back, which made measurement simple but also caused problems owing to the influence of phenomena other than muscle activity on the measurement data. Therefore, we propose a novel correction method to calculate the muscle activity of this sensor accurately, which can be used for simple measurements. We propose a formula to compensate for effects other than muscle activity based on a model equation that includes contact conditions and belt tension, which affect the muscle stiffness sensor value. We evaluated the validity of the correction equation from simulations and the change in similarity owing to the correction by simultaneously measuring the muscle action potentials and muscle stiffness sensor values during breathing movements with muscle activity. The proposed correction method improved the muscle stiffness data during respiration and contraction. It is possible to improve the measurement accuracy by improving the calibration method and hardware.
测量腹横肌活动的肌肉刚度传感器校正方法
腹横肌对各种人体功能都很重要,包括预防背痛和使用肌肉活动值作为治疗尿失禁的指标。测量肌肉活动是评估是否进行了正确训练的有效手段。在之前的研究中开发的横腹肌刚度传感器采用的方法是将附有传感器的皮带缠绕在下背部,这样测量简单,但也会因为肌肉活动以外的现象影响测量数据而产生问题。因此,我们提出了一种新的校正方法来精确计算该传感器的肌肉活动,可以用于简单的测量。我们提出了一个公式来补偿肌肉活动以外的影响,基于模型方程,包括接触条件和皮带张力,影响肌肉刚度传感器值。我们通过同时测量肌肉活动时呼吸运动中的肌肉动作电位和肌肉刚度传感器值来评估模拟校正方程的有效性以及校正后相似度的变化。提出的校正方法改善了呼吸和收缩过程中的肌肉僵硬度数据。通过改进校准方法和硬件,可以提高测量精度。
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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