Initial assessment of facial nerve paralysis based on motion analysis using an optical flow method

An initial assessment method that can classify as well as categorize the severity of paralysis into one of six levels according to the House-Brackmann (HB) system based on facial landmarks motion using an Optical Flow (OF) algorithm is proposed. The desired landmarks were obtained from the video rec...

Full description

Saved in:
Bibliographic Details
Published in:Technology and health care 2016-01, Vol.24 (2), p.287-294
Main Authors: Samsudin, Wan Syahirah W., Sundaraj, Kenneth, Ahmad, Amirozi, Salleh, Hasriah
Format: Article
Language:English
Subjects:
Adolescent
Adult
Algorithms
Bell Palsy - diagnosis
Bell Palsy - physiopathology
Diagnosis, Computer-Assisted - methods
Female
Humans
Male
Middle Aged
Motion
Optical Phenomena
Severity of Illness Index
Videotape Recording
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An initial assessment method that can classify as well as categorize the severity of paralysis into one of six levels according to the House-Brackmann (HB) system based on facial landmarks motion using an Optical Flow (OF) algorithm is proposed. The desired landmarks were obtained from the video recordings of 5 normal and 3 Bell's Palsy subjects and tracked using the Kanade-Lucas-Tomasi (KLT) method. A new scoring system based on the motion analysis using area measurement is proposed. This scoring system uses the individual scores from the facial exercises and grades the paralysis based on the HB system. The proposed method has obtained promising results and may play a pivotal role towards improved rehabilitation programs for patients.
ISSN:0928-7329
1878-7401
DOI:10.3233/THC-151103