Adaptive estimation of continuous gait phase based on capacitive sensors.

IF 3.4 Q2 ENGINEERING, BIOMEDICAL Wearable technologies Pub Date : 2022-06-17 eCollection Date: 2022-01-01 DOI:10.1017/wtc.2022.4
Dongfang Xu, Zhitong Zhang, Simona Crea, Nicola Vitiello, Qining Wang
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Abstract

Continuous gait phase plays an important role in robotic prosthesis control. In this paper, we have conducted the offline adaptive estimation (at different speeds and on different ramps) of continuous gait phase of robotic transtibial prosthesis based on the adaptive oscillators. We have used the capacitive sensing method to record the deformation of the muscles. Two transtibial amputees joined in this study. Based on the strain signals of the prosthetic foot and the capacitive signals of the residual limb, the maximum and minimum of estimation errors are 0.80 rad and 0.054 rad, respectively, and their corresponding ratios in one gait cycle are 1.27% and 0.86%, respectively. This paper proposes an effective method to estimate the continuous gait phase based on the capacitive signals of the residual muscles, which provides a basis for the continuous control of robotic transtibial prosthesis.

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基于电容传感器的连续步态相位自适应估计
连续步态相位在机器人假肢控制中起着重要的作用。在本文中,我们基于自适应振荡器对机器人跨胫假体的连续步态相位进行了离线自适应估计(在不同速度和不同坡度下)。我们使用电容式传感方法来记录肌肉的变形。两名胫骨截肢者参加了这项研究。基于假肢足的应变信号和残肢的电容性信号,估计误差的最大值和最小值分别为0.80 rad和0.054 rad,其在一个步态周期内对应的比值分别为1.27%和0.86%。本文提出了一种基于残肌电容性信号估计连续步态相位的有效方法,为机器人假肢的连续控制提供了依据。
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CiteScore
5.80
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0.00%
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0
审稿时长
11 weeks
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