계명대학교 의학도서관 Repository

A New Ptosis Auto Analysis System and Algorithms Based on Surface Electromyography Sensor

Metadata Downloads
Affiliated Author(s)
이종하손대구김선칠
Alternative Author(s)
Lee, Jong HaKim, Seon ChilSon, Dae Gu
Journal Title
Advances in Engineering Research
ISSN
2352-5401
Issued Date
2016
Keyword
PtosisEyelidAuto analysisComputer aided diagnosisEMG
Abstract
The ‘Ptosis’ is a phenomenon that eyelid droops and cannot lifts on normal level. If
somebody has the ptosis, they use the frontalis muscle in forehead when the eyes open. In this paper,
the frontalis muscle’s EMG was measured about stare angle. People who have the ptosis were
confirmed that they use the frontalis muscle more than normal people. Also, this paper verified that
the ptosis is concerned movement of muscles around the eyes. Therefore, this paper proposes a
system to quantify the ptosis as EMG signal level of the frontalis muscle.
Department
Dept. of Biomedical Engineering (의용공학과)
Dept. of Plastic Surgery (성형외과학)
Publisher
School of Medicine
Citation
Wan-Seok Noh et al. (2016). A New Ptosis Auto Analysis System and Algorithms Based on Surface Electromyography Sensor. Advances in Engineering Research, 93, 456–460. doi: 10.2991/ismems-16.2016.77
Type
Article
ISSN
2352-5401
DOI
10.2991/ismems-16.2016.77
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/32344
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Plastic Surgery (성형외과학)
공개 및 라이선스
  • 공개 구분공개
파일 목록

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