메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
박광애 (대구가톨릭대학교) 양정은 (대구가톨릭대학교) 정하영 (포항공과대학교)
저널정보
한국의류산업학회 한국의류산업학회지 한국의류산업학회지 제25권 제2호
발행연도
2023.4
수록면
185 - 198 (14page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to obtain information necessary for the development of patient clothes that canreduce physical fatigue of caregivers by quantitatively measuring the muscle load and fatigue. The patient clothes usedin this study can be broken down into three types: A type (back center zipper open suit), B type (top-to bottom separatedpatient clothes), and C type (front zipper open suit). The EMG measurement sites are as follows: hand muscle (bra-chioradialis), upper arm (biceps, triceps), shoulder (anterior deltoid, medial deltoid, posterior deltoid, upper trapezius), andwaist (erector spinae); additionally, the EMG signals were measured. Through this experiment, muscle load, muscleenergy consumption, and muscle fatigue generation tendency were analyzed. The results of the study revealed that theC type patient clothes required the most strength in the muscles of the shoulders, upper arms, hands, and back whenbeing put on and taken off compared to other patient clothes. The A type clothes required a relatively large force in open-ing the zipper. In terms of muscle energy consumption, B type generally called for more strength when it came to thezip-up and putarmsup motions. With regard to the cover the body and put legs/hips up motions, C type used the highestamount of muscle energy, whereas A type used relatively little energy. In terms of the occurrence of muscle fatigue duringthe putting on and taking off of the patient's clothing, there was a difference in the area and degree of muscle fatigue inthe A, B, and C types, and there was also a tendency for muscle fatigue to occur when performing repetitive movements.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0