Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis
Joint Authors
Wang, Jun
Feng, Jialing
Guo, Zhexiao
Dan, Guo
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A rapid and objective assessment of the severity of facial paralysis allows rehabilitation physicians to choose the optimal rehabilitation treatment regimen for their patients.
In this study, patients with facial paralysis were enrolled as study objects, and the eye aspect ratio (EAR) index was proposed for the eye region.
The correlation between EAR and the facial nerve grading system 2.0 (FNGS 2.0) score was analyzed to verify the ability of EAR to enhance FNGS 2.0 for the rapid and objective assessment of the severity of the facial paralysis.
Firstly, in order to accurately calculate the EAR, we constructed a landmark detection model based on the face images of facial paralysis patients (FP-FLDM).
Evaluation results showed that the error rate of facial feature point detection in patients with facial paralysis of FP-FLDM is 17.1%, which was significantly superior to the landmark detection model based on normal face images (NF-FLDM).
Secondly, in this study, the Fréchet distance was used to calculate the difference in bilateral EAR of facial paralysis patients and to verify the correlation between this difference and the corresponding FNGS 2.0 score.
The results showed that the higher the FNGS 2.0 score , the greater the difference in bilateral EAR.
The correlation coefficient between the bilateral EAR difference and the corresponding FNGS 2.0 score was 0.9673, indicating a high correlation.
Finally, through a 10-fold crossvalidation, we can know that the accuracy of scoring the eyes of patients with facial paralysis using EAR was 85.7%, which can be used to enhance the objective and rapid assessment of the severity of facial paralysis by FNGS 2.0.
American Psychological Association (APA)
Feng, Jialing& Guo, Zhexiao& Wang, Jun& Dan, Guo. 2020. Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139318
Modern Language Association (MLA)
Feng, Jialing…[et al.]. Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139318
American Medical Association (AMA)
Feng, Jialing& Guo, Zhexiao& Wang, Jun& Dan, Guo. Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139318
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139318