Individualization of exosuit assistance based on measured muscle dynamics during versatile walking.
Individualization of exosuit assistance based on measured muscle dynamics during versatile walking.
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DOI:
10.1126/scirobotics.abj1362
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发表时间:
2021-11-10
期刊:
影响因子:
25
通讯作者:
中科院分区:
文献类型:
--
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Variability in human walking depends upon individual physiology, environment, and walking task. Consequently, in the field of wearable robotics, there is a clear need for customizing assistance to the user and task. Here we developed a muscle-based assistance (MBA) strategy wherein exosuit assistance was derived from direct measurements of individuals’ muscle dynamics during specific tasks. In this article, we recorded individuals’ soleus muscle dynamics using ultrasonographic imaging during multiple walking speeds and inclines. From these pre-recorded images, we estimated the force produced by the soleus through inefficient concentric contraction and designed the exosuit assistance profile to be proportional to that estimated force. We evaluated this approach with a bilateral ankle exosuit at each measured walking task. Compared to not wearing a device, the MBA ankle exosuit significantly reduced metabolic demand by an average of 15.9%, 9.7%, 8.9% at level 1.25, 1.5, and 1.75 m s−1 respectively and 7.8% at 1.25 m s−1 at 5.71° incline while applying lower assistance levels than existing literature. In an additional study (n=2), we showed for multiple walking tasks that the MBA profile outperforms other bioinspired strategies and the average profile from a previous optimization study. Finally, we show the feasibility of online assistance generation in a mobile version for overground outdoor walking. This muscle-based approach enables relatively rapid (~10 seconds) generation of individualized low-force assistance profiles that provide metabolic benefit. This approach may help support the adoption of wearable robotics in real-world, dynamic locomotor tasks by enabling comfortable, tailored, and adaptive assistance. An ankle exosuit tuned to the measured muscle dynamics of the user during multiple walking tasks improves energy economy.
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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.
DOI:
10.1098/rspb.1938.0050
发表时间:
1938-10-01
期刊:
PROCEEDINGS OF THE ROYAL SOCIETY SERIES B-BIOLOGICAL SCIENCES
影响因子:
--
作者:
Hill, AV
通讯作者:
Hill, AV
影响因子:
5.5
作者:
Azizi, Emanuel;Roberts, Thomas J.
通讯作者:
Roberts, Thomas J.
影响因子:
2
作者:
Alexander, RM
通讯作者:
Alexander, RM
影响因子:
2.6
作者:
Azizi, Emanuel;Halenda, Gregory M.;Roberts, Thomas J.
通讯作者:
Roberts, Thomas J.