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The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers

Overview of attention for article published in Frontiers in Neurorobotics, October 2017
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Title
The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers
Published in
Frontiers in Neurorobotics, October 2017
DOI 10.3389/fnbot.2017.00057
Pubmed ID
Authors

Kai Schmidt, Jaime E. Duarte, Martin Grimmer, Alejandro Sancho-Puchades, Haiqi Wei, Chris S. Easthope, Robert Riener

Abstract

Muscle weakness-which can result from neurological injuries, genetic disorders, or typical aging-can affect a person's mobility and quality of life. For many people with muscle weakness, assistive devices provide the means to regain mobility and independence. These devices range from well-established technology, such as wheelchairs, to newer technologies, such as exoskeletons and exosuits. For assistive devices to be used in everyday life, they must provide assistance across activities of daily living (ADLs) in an unobtrusive manner. This article introduces the Myosuit, a soft, wearable device designed to provide continuous assistance at the hip and knee joint when working with and against gravity in ADLs. This robotic device combines active and passive elements with a closed-loop force controller designed to behave like an external muscle (exomuscle) and deliver gravity compensation to the user. At 4.1 kg (4.6 kg with batteries), the Myosuit is one of the lightest untethered devices capable of delivering gravity support to the user's knee and hip joints. This article presents the design and control principles of the Myosuit. It describes the textile interface, tendon actuators, and a bi-articular, synergy-based approach for continuous assistance. The assistive controller, based on bi-articular force assistance, was tested with a single subject who performed sitting transfers, one of the most gravity-intensive ADLs. The results show that the control concept can successfully identify changes in the posture and assist hip and knee extension with up to 26% of the natural knee moment and up to 35% of the knee power. We conclude that the Myosuit's novel approach to assistance using a bi-articular architecture, in combination with the posture-based force controller, can effectively assist its users in gravity-intensive ADLs, such as sitting transfers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 20%
Student > Master 33 12%
Researcher 31 11%
Student > Bachelor 24 9%
Student > Doctoral Student 19 7%
Other 29 10%
Unknown 87 31%
Readers by discipline Count As %
Engineering 124 45%
Nursing and Health Professions 12 4%
Medicine and Dentistry 10 4%
Neuroscience 8 3%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 24 9%
Unknown 95 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Frontiers in Neurorobotics
#583
of 879 outputs
Outputs of similar age
#251,532
of 328,360 outputs
Outputs of similar age from Frontiers in Neurorobotics
#10
of 15 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 879 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.