Lower Extremity Exoskeleton Improves Knee Extension Children with Crouch Gait Paper



Question Description

§Each student is required to submit 2 paper reviews (1 review for each paper)

–Quinlivan, B. T., Lee, S., Malcolm, P., Rossi, D. M., Grimmer, M., Siviy, C., ... & Walsh, C. J. (2017). Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit. Sci. Robot, 2(2), 1-10.
–Lerner, Z. F., Damiano, D. L., & Bulea, T. C. (2017). A lower-extremity exoskeleton improves knee extension in children with crouch gait from cerebral palsy. Science translational medicine, 9(404).
§Please use IEEE template
–Directory: \Homework\Paper review template (IEEE template)
–Link: https://www.dropbox.com/sh/2g2gu61jb8c2ibb/AADQa9Lwxg2_CcPWyu5DKgKFa?dl=0
§At least 900 words and 3 figures for each paper review summary
§Upload your HW1 to this folder (do not email us):
§Deadline: November 25, 11:59 pm

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Final Answer

Hi Review of each paper is attached in separate documents. If there any problem please let me know.Thank you

Assistance Magnitude versus Metabolic Cost Reductions for a
Tethered Multi Articular Soft Exosuit
Paper Review




In this project the authors have studied and
characterized the relationship between assistance
force magnitude of multiarticular soft exosuit
and the metabolic cost of unloaded walking of
exosuit wearer. As well as the study examine the
changes on underlying gait mechanism of human
locomotion due to walking assistance. These
have been done performing series of experiments
by isolating the relationship between assistance
and metabolic reduction from the system mass.
The tests were conducted for randomly selected
seven participants under five different
experimental conditions of 5 minutes duration
for each.

Wearable robots have been developed in assisting
the human walking since few decades especially it
is critical factor when comes to the heavy duties of
labors. With the recent focuses on subject field it
has understood the requirement of lightweight
robotic fabrications which benefited for human
metabolic as well as comfort. This paper work
presents one such experiment to show the effect of
assistance of the exosuit on metabolic rate
reduction and calculations are done for metabolic
rates for different conditions of experiment. It
shows a 22.83 ± 3.17% of metabolic rate reduction
for maximum exosuit assistant with respect to zero
external assistance condition.




This study helps to identify the current stage of
multiarticular soft exosuit which is developing to
facilitate better walk facilities for labors on
heavy duties, disabled or aged people, hikers and
long walkers with application of wearable robot
technology. It is a very important design since it
lowers the energy expenditure on a task
facilitating to the user’s metabolic benefit in
order to overcome the risk of fatigue and injury
on humans. By doing this study it has showed
that there is a great impact on walking due to
assistive force given by the exosuit though there
are some limitations on the experiment
procedure has presented. The laboratory testing
has helped in showing the behavior of hip and
ankle moments and power variation for a range
of external assistive forces generated by external
actuator and then transmitted to the suit and then
transmitted to human body in order to reduce the
required muscular activation for walking.
Further it reveals the importance of light
weightiness of the suit in order to achieve a
much lower metabolic cost of walking.



This study was aimed to maximize the metabolic
benefit of exosuit users on their activities making
sure the reduction of harmfulness can be caused
by high metabolic consumption for stressed
working and the study has developed with a
selected multiarticular soft exosuit which had
designed to assist with both ankle palter flexion
and hip flexion with the main parts such as waist
bet, spandex base layer, two calf wraps and four
vertical straps and the weight of whole textile is
0.89 kg. The number of seven healthy male
adults had selected for the experiment ...

XFYGhgbe (24)
University of Virginia

Awesome! Perfect study aid.

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