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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Introduction: Research and development efforts regarding passive lower-limb exoskeletons are actively ongoing to reduce work-related musculoskeletal disorders (WMDSs) from improper and prolonged posture. The aims of this study were to evaluate the effects of passive lower-limb exoskeletons and working heights on muscle activity and subjective comfort ratings. Methods: In this study, 20 males performed a 10-min drilling task for three levels of working height (60, 85, and 110 cm), and three levels of intervention (WO: without exoskeleton, WCEX, and WCC) were used as independent variables. The EMG data of eight muscles and subjective discomfort ratings in each of the six body parts were analyzed in this study. Results: The results of this study confirm that the effect of wearing a lower-limb exoskeleton device may vary depending on the muscle type and working height. Overall, the positive effects of wearing were generally observed in the lower-limb muscles, whereas the muscle activity of the upper limbs showed an increasing trend when wearing the device at a height of 85 cm or more. Conclusions: Therefore, to obtain positive effects in both the upper- and lower-limb muscles, using the lower-limb exoskeletons at a working height of 85 cm or less is recommended.

Details

Title
Evaluation of the Effects of Passive Lower-Limb Exoskeletons on Muscle Activities According to Working Heights
Author
Hyun-Ho, Shim 1 ; Choi, Kyeong-Hee 2 ; Hyunji Keum 1 ; Son, Seungjae 1 ; Jeong Ho Kim 3   VIAFID ORCID Logo  ; Min-Tae Seo 4 ; Kim, Seoung-Yeon 4 ; Park, Donghyun 5 ; Yong-Ku, Kong 1   VIAFID ORCID Logo 

 Department of Industrial Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea; [email protected] (H.-H.S.); [email protected] (H.K.); [email protected] (S.S.) 
 Digital Healthcare R&D Department, Korea Institute of Industrial Technology, Cheonan 31056, Republic of Korea; [email protected] 
 College of Health, Oregon State University, Corvallis, OR 97331, USA; [email protected] 
 National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54875, Republic of Korea; [email protected] (M.-T.S.); [email protected] (S.-Y.K.) 
 Department of Industrial Engineering, Inha University, Incheon 22212, Republic of Korea; [email protected] 
First page
11754
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2888119015
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.