A Smartphone-Based Automatic Diagnosis System for Facial Nerve Palsy

Sensors

Hyun Seok Kim²  So Young Kim¹  Young Ho Kim¹  Kwang Suk Park³ 

[1] Department of Otorhinolaryngology, Head and Neck Surgery, Seoul National University, Boramae Medical Center, Seoul 07061, Korea; E-Mail:;Interdisciplinary Program of Bioengineering, Seoul National University, Seoul 03080, Korea; E-Mail:;Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, Korea

关键词: facial nerve palsy;    smartphone;    automatic diagnosis;    asymmetry;    assessment system;   

DOI  :  10.3390/s151026756

来源: mdpi

【 摘 要 】

Facial nerve palsy induces a weakness or loss of facial expression through damage of the facial nerve. A quantitative and reliable assessment system for facial nerve palsy is required for both patients and clinicians. In this study, we propose a rapid and portable smartphone-based automatic diagnosis system that discriminates facial nerve palsy from normal subjects. Facial landmarks are localized and tracked by an incremental parallel cascade of the linear regression method. An asymmetry index is computed using the displacement ratio between the left and right side of the forehead and mouth regions during three motions: resting, raising eye-brow and smiling. To classify facial nerve palsy, we used Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM), and Leave-one-out Cross Validation (LOOCV) with 36 subjects. The classification accuracy rate was 88.9%.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.