Offline assistance optimization of a soft exosuit for augmenting ankle power of stroke survivors during walking.
Offline assistance optimization of a soft exosuit for augmenting ankle power of stroke survivors during walking.
复制标题
增强中风幸存者步行过程中踝关节力量的柔软外衣的离线辅助优化。
DOI:
10.1109/lra.2020.2965072
复制
发表时间:
2020
影响因子:
5.2
通讯作者:
Walsh CJ
中科院分区:
文献类型:
--
作者:
Siviy C;Bae J;Baker L;Porciuncula F;Baker T;Ellis TD;Awad LN;Walsh CJ
Locomotor impairments afflict more than 80% of people poststroke. Our group has previously developed a unilateral ankle exosuit aimed at assisting the paretic ankle joint of stroke survivors during walking. While studies to date have shown promising biomechanical and physiological changes, there remains opportunity to better understand how changes in plantarflexion (PF) assistance profiles impact wearer response. In healthy populations, studies explicitly varying augmentation power have been informative about how exosuit users are sensitive to changes in PF assistance; however there are challenges in applying existing methods to a medical population where significantly higher gait variability and limited walking capacity exist. This paper details an offline assistance optimization scheme that uses pre-recorded biomechanics data to generate torque profiles designed to deliver either positive or negative augmentation power in PF while being less sensitive to stride-by-stride variability. Additionally, we describe an admittance-control strategy that can effectively deliver PF force with RMS error less than 10 N. A preliminary study on six people poststroke demonstrates that offline assistance optimization can successfully isolate positive and negative augmentation power. Moreover, we show that in people poststroke, positive augmentation power effected changes in total positive ankle power while delivering negative augmentation power had no effect on total negative ankle power.
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影响因子:
64.8
作者:
Collins, Steven H.;Wiggin, M. Bruce;Sawicki, Gregory S.
通讯作者:
Sawicki, Gregory S.
影响因子:
5.1
作者:
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通讯作者:
Sawicki GS
影响因子:
25
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通讯作者:
Walsh, C. J.
影响因子:
2.8
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Bae, Jaehyun;Awad, Louis N.;Walsh, Conor J.
通讯作者:
Walsh, Conor J.
影响因子:
1.8
作者:
Vistamehr, Arian;Kautz, Steven A.;Neptune, Richard R.
通讯作者:
Neptune, Richard R.