Blepharokymography: A New Tool for Dynamic Eyelid Motion Analysis Using Image Processing.
- Author:
Seung Ho CHOI
1
;
Kyung Hun YANG
;
Yong Sig KWUN
;
Chong Sun LEE
;
Kwang Hyun KIM
;
Myung Whun SUNG
;
Kwang Suk PARK
Author Information
1. Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Eyelids;
Facial nerve;
Kymography;
Image processing;
computer-assisted
- MeSH:
Eyelids*;
Facial Nerve;
Facial Paralysis;
Humans;
Judgment;
Kymography;
Microcomputers;
Paralysis
- From:Korean Journal of Otolaryngology - Head and Neck Surgery
2001;44(11):1140-1144
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND AND OBJECTIVES: Evaluation of facial movements, especially eyelid movements, per se, depends largely on subjective judgments of trained clinicians. Recently, however, a few objective methods were reported although they required bothersome markers attached on the eyelids and a special-purpose high-speed video camera. This study aimed to develop a new dynamic and quantitative analysis system for eyelid motion using an image processing method without markers or a high-speed camera, and to evaluate parameters that could properly differentiate normal and abnormal states. MATERIALS AND METHOD: The system was consisted of a personal computer with a general-purpose frame grabber and a specially developed software which was named, Blepharokymography. Displacement of upper eyelids, duration of closing and opening segments, and closing and opening velocity were measured in 12 normal subjects and 5 facial nerve palsy patients of variable causes. Mean values of each parameter and the ratio of a palsy or slower side to a normal or faster side in normal and facial palsy groups were compared. RESULTS: In the normal group, the mean displacement of upper eyelids, mean closing time, mean and peak closing velocity were 8.3mm, 161 msec. 61.6 mm/sec and 146.2 mm/sec respectively. Among parameters, displacement, the closing time, mean closing velocity and peak closing velocity were significantly different between normal and facial palsy groups. CONCLUSION: By using blepharokymography system, it was possible to measure the eyelid motion objectively. Displacement, closing time, average and peak closing velocity were useful in differentiating the normal state as well as the facial nerve palsy state.
