Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Biomechanical Analysis Suggests Myosuit Reduces Knee Extensor Demand during Level and Incline Gaitopen access

Authors
Kim, JaewookKim, YekwangKang, SeonghyunKim, Seung-Jong
Issue Date
8월-2022
Publisher
MDPI
Keywords
gait; biomechanics; electromyography; joint kinematics; soft wearable robot; rehabilitation
Citation
SENSORS, v.22, no.16
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
22
Number
16
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/145848
DOI
10.3390/s22166127
ISSN
1424-8220
Abstract
An FDA-approved soft wearable robot, the Myosuit, which was designed to provide hip and knee extension torque has recently been commercialized. While studies have reported reductions in metabolic costs, increased gait speeds, and improvements in clinical test scores, a comprehensive analysis of electromyography (EMG) signals and joint kinematics is warranted because the recruitment of appropriate muscle groups during physiological movement patterns facilitates effective motor learning. Here, we compared the lower limb joint kinematics and EMG patterns while wearing the Myosuit with that of unassisted conditions when performing level overground and incline treadmill gait. The level overground gait sessions (seven healthy subjects) were performed at self-selected speeds and the incline treadmill gait sessions (four healthy subjects) were performed at 2, 3, 4, and 5 km/h. In order to evaluate how the user is assisted, we conducted a biomechanical analysis according to the three major gait tasks: weight acceptance (WA), single-limb support, and limb advancement. The results from the gait sessions suggest that Myosuit not only well preserves the users' natural patterns, but more importantly reduce knee extensor demand during the WA phase for both level and incline gait.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE