He, Shu and Soraghan, J.J. and O'Reilly, Brian (2007) Biomedical image sequence analysis with application to automatic quantitative assessment of facial paralysis. EURASIP Journal on Image and Video Processing. ISSN 1687-5176Full text not available in this repository. (Request a copy from the Strathclyde author)
Facial paralysis is a condition causing decreased movement on one side of the face. A quantitative, objective, and reliable assessment system would be an invaluable tool for clinicians treating patients with this condition. This paper presents an approach based on the automatic analysis of patient video data. Facial feature localization and facial movement detection methods are discussed. An algorithm is presented to process the optical flow data to obtain the motion features in the relevant facial regions. Three classification methods are applied to provide quantitative evaluations of regional facial nerve function and the overall facial nerve function based on the House-Brackmann scale. Experiments show the radial basis function (RBF) neural network to have superior performance.
|Keywords:||facial paralysis , movement, assessment system , video data, Electrical engineering. Electronics Nuclear engineering, Signal Processing, Information Systems, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||05 Aug 2011 15:53|
|Last modified:||22 Mar 2017 10:15|