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Effect of Amplitude and Number of Repetitions of the Perturbation on System Identification of Human Balance Control During Stance

机译:姿态幅度和重复次数对姿态过程中人体平衡控制系统识别的影响

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摘要

To unravel the underlying mechanisms of human balance control, system identification techniques are applied in combination with dedicated perturbations, like support surface translations. However, it remains unclear what the optimal amplitude and number of repetitions of the perturbation signal are. In this study we investigated the effect of the amplitude and number of repetitions on the identification of the neuromuscular controller (NMC). Healthy participants were asked to stand on a treadmill while small continuous support surface translations were applied in the form of a periodic multisine signal. The perturbation amplitude varied over seven conditions between 0.02 and 0.20 m peak-to-peak (ptp), where 6.5 repetitions of the multisine signal were applied for each amplitude, resulting in a trial length of 130 sec. For one of the conditions, 24 repetitions were recorded. The recorded external perturbation torque, body sway and ankle torque were used to calculate both the relative variability of the frequency response function (FRF) of the NMC, i.e., a measure for precision, depending on the noise-to-signal ratio (NSR) and the nonlinear distortions. Results showed that the perturbation amplitude should be minimally 0.05 m ptp, but higher perturbation amplitudes are preferred since they resulted in a higher precision, due to a lower noise-to-signal ratio (NSR). There is, however, no need to further increase the perturbation amplitude than 0.14 m ptp. Increasing the number of repetitions improves the precision, but the number of repetitions minimally required, depends on the perturbation amplitude and the preferred precision. Nonlinear contributions are low and, for the ankle torque, constant over perturbation amplitude.
机译:为了弄清人类平衡控制的基本机制,系统识别技术与专用干扰(如支撑表面平移)结合使用。但是,尚不清楚扰动信号的最佳振幅和重复次数是多少。在这项研究中,我们调查了幅度和重复次数对神经肌肉控制器(NMC)识别的影响。健康的参与者被要求站在跑步机上,同时以周期性的多正弦信号的形式施加小的连续支撑表面平移。扰动幅度在0.02至0.20 m峰-峰值(ptp)之间的七个条件下变化,其中对每个幅度应用6.5次多正弦信号重复,从而产生130秒的试验长度。对于其中一种情况,记录了24次重复。记录的外部扰动扭矩,身体摇摆和踝关节扭矩用于计算NMC的频率响应函数(FRF)的相对变化性,即取决于噪声与信号比(NSR)的精度度量以及非线性失真。结果表明,摄动幅度至少应为0.05 m ptp,但较高的摄动幅度是优选的,因为它们会由于较低的噪声与信号比(NSR)而导致更高的精度。但是,没有必要将扰动幅度进一步增加到0.14 m ptp以上。增加重复次数可以提高精度,但是最低限度需要的重复次数取决于扰动幅度和首选精度。非线性影响很低,并且对于脚踝扭矩而言,在整个摄动幅度上都是恒定的。

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