Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis

Author:

Feng Jialing1ORCID,Guo Zhexiao12ORCID,Wang Jun3ORCID,Dan Guo12ORCID

Affiliation:

1. School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China

2. Shenzhen Institute of Neuroscience, Shenzhen, China

3. Shenzhen Hospital, Southern Medical University, Shenzhen, China

Abstract

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.

Funder

Shenzhen Science and Technology Innovation Council

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ensemble Stacking for Grading Facial Paralysis Through Statistical Analysis of Facial Features;Traitement du Signal;2024-04-30

2. Objective demonstration of eyelid spasm relief with smartphone and custom software in hemifacial spasm patients;International Ophthalmology;2024-03-18

3. Artificial Intelligence-Based Facial Palsy Evaluation: A Survey;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. Drowsiness Detection and Accident Prevention by using K Nearest Neighbor (KNN) Algorithm;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

5. The Feasibility of An Automatical Facial Evaluation System Providing Objective and Reliable Results for Facial Palsy;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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