Proceedings of the International Symposium on Mechanical Engineering and Material Science

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

Authors
Wan-Seok Noh, Dae Gu Son, Seon-Chil Kim, Jong-Ha Lee
Corresponding Author
Wan-Seok Noh
Available Online December 2016.
DOI
10.2991/ismems-16.2016.77How to use a DOI?
Keywords
Ptosis, Eyelid, Auto analysis, Computer aided diagnosis, EMG
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

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Symposium on Mechanical Engineering and Material Science
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-277-0
ISSN
2352-5401
DOI
10.2991/ismems-16.2016.77How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wan-Seok Noh
AU  - Dae Gu Son
AU  - Seon-Chil Kim
AU  - Jong-Ha Lee
PY  - 2016/12
DA  - 2016/12
TI  - A New Ptosis Auto Analysis System and Algorithms Based on Surface Electromyography Sensor
BT  - Proceedings of the International Symposium on Mechanical Engineering and Material Science
PB  - Atlantis Press
SP  - 456
EP  - 460
SN  - 2352-5401
UR  - https://doi.org/10.2991/ismems-16.2016.77
DO  - 10.2991/ismems-16.2016.77
ID  - Noh2016/12
ER  -