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首页> 外文会议>Asia-Pacific Signal and Information Processing Association Annual Summit and Conference >Estimating Muscle Fibre Conduction Velocity in the Presence of Array Misalignment
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Estimating Muscle Fibre Conduction Velocity in the Presence of Array Misalignment

机译：在阵列未对准的情况下估计肌纤维传导速度

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摘要

Surface electromyography (sEMG) has the potential to provide valuable information regarding the status and health of a muscle. In particular, recent developments in high density sEMG (HD-sEMG), which allow simultaneous recordings from a greater number of electrodes, enable the calculation of muscle attributes such as the conduction velocity of motor unit action potentials. However, as with standard recording montages, HD-sEMG requires careful placement of the electrodes to align with the direction of the muscle fibres, thus limiting practical applications. In this paper we demonstrate an algorithm for calculating muscle fibre conduction velocity which is independent of the alignment of the array. The algorithm automatically corrects for the misalignment of the array whilst estimating the conduction velocity using common local all-pass (CLAP) filters. Specifically, the misalignment is modelled as a rotation of the array relative to the fibre and this rotation is estimated by iteratively fitting the model to the output of the CLAP filters. We validate the proposed algorithm on simulated HD-sEMG data generated from a realistic biological model, demonstrating that the algorithm obtains an accurate estimate of the conduction velocity even when the array is misaligned.
机译：表面肌电图（sEMG）有潜力提供有关肌肉状态和健康的有价值的信息。尤其是，高密度sEMG（HD-sEMG）的最新发展，允许同时从更多数量的电极中进行记录，可以进行肌肉属性的计算，例如运动单位动作电位的传导速度。但是，与标准记录蒙太奇一样，HD-sEMG需要仔细放置电极以与肌肉纤维的方向对齐，从而限制了实际应用。在本文中，我们演示了一种计算肌肉纤维传导速度的算法，该算法与阵列的对齐方式无关。该算法会自动校正阵列的未对准状态，同时使用通用的本地全通（CLAP）滤波器估算传导速度。具体而言，将未对准建模为阵列相对于光纤的旋转，并通过将模型迭代拟合到CLAP滤波器的输出来估算该旋转。我们从真实的生物学模型生成的模拟HD-sEMG数据上验证了所提出的算法，证明了即使阵列未对准，该算法也可以获得对传导速度的准确估计。

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