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

Patients with facial nerve paralysis suffer serious functional, cosmetic and psychological problems with impaired ability to communicate both verbally and nonverbally. Rehabilitation for facial paralysis begins with a thorough clinical evaluation in accessing the degree of paralysis. Generally, f...

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Main Author:	Wan Syahirah, W. Samsudin
Format:	Thesis
Language:	English
Subjects:	Facial nerve paralysis Facial paralysis Motion analysis Rehabilitation Facial nerve
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/2/Full%20text.pdf
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record_format	uketd_dc
spelling	my-unimap-619902019-09-25T04:21:29Z Initial assessment of facial nerve paralysis based on motion analysis using optical flow method Wan Syahirah, W. Samsudin Associate Professor Ir. Dr. Kenneth Sundaraj Patients with facial nerve paralysis suffer serious functional, cosmetic and psychological problems with impaired ability to communicate both verbally and nonverbally. Rehabilitation for facial paralysis begins with a thorough clinical evaluation in accessing the degree of paralysis. Generally, for assessment of facial nerve dysfunction on patient’s face in daily clinical application, observation-based subjective grading systems by clinicians is been employed. Subjective assessments of facial nerve function are accomplished by inferring nerve function through the observation of voluntary facial movement. These methods usually yield a single value which hypothetically corresponds to the severity of facial paralysis. To date, there are no subjective assessment methods that can reliably produce quantitative information regarding facial nerve function. Previous works have proposed a wide range of methods to obtain objective data to quantify and determine the severity of facial paralysis. However, there is no standardized quantitative method for objective description of facial nerve function. Acknowledging the importance of this facial assessment, this research was conducted to develop an initial assessment method that can classify normal and patient subjects based on facial motion analysis using Optical Flow algorithm as well as categorizing the severity of patient into six levels according to House-Brackmann (HB) system. Prior to initial assessment method been developed, two experiments were conducted to find the best parameter and best measurement for assessing facial paralysis. Distance and area were selected as two measurement parameters which were investigated in this research. A number of mathematical and statistical analyses were performed to determine the best measurement of these parameters. The results indicate that the distance is the best parameter and the value of initial exercise frame is the most important measurement in tracking the changes of facial movement. This thesis also presents the initial facial assessment method which contains the individual scores for each exercise involved in this research and also grading the paralysis for each patient corresponds to HB system. This research showed satisfactory results which was validated by a medical professional in Otorhinolaryngology. This initial facial assessment method may play a pivotal role in initiation of final assessment system for facial paralysis and develop better rehabilitation program for patients. Universiti Malaysia Perlis (UniMAP) 2015 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61990 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/1/Page%201-24.pdf 8acacc0e5e0a83530432dc2831cf63bc http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/2/Full%20text.pdf a33d116088adafa58be2788f9d2a7de2 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Facial nerve paralysis Facial paralysis Motion analysis Rehabilitation Facial nerve School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Associate Professor Ir. Dr. Kenneth Sundaraj
topic	Facial nerve paralysis Facial paralysis Motion analysis Rehabilitation Facial nerve
spellingShingle	Facial nerve paralysis Facial paralysis Motion analysis Rehabilitation Facial nerve Wan Syahirah, W. Samsudin Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
description	Patients with facial nerve paralysis suffer serious functional, cosmetic and psychological problems with impaired ability to communicate both verbally and nonverbally. Rehabilitation for facial paralysis begins with a thorough clinical evaluation in accessing the degree of paralysis. Generally, for assessment of facial nerve dysfunction on patient’s face in daily clinical application, observation-based subjective grading systems by clinicians is been employed. Subjective assessments of facial nerve function are accomplished by inferring nerve function through the observation of voluntary facial movement. These methods usually yield a single value which hypothetically corresponds to the severity of facial paralysis. To date, there are no subjective assessment methods that can reliably produce quantitative information regarding facial nerve function. Previous works have proposed a wide range of methods to obtain objective data to quantify and determine the severity of facial paralysis. However, there is no standardized quantitative method for objective description of facial nerve function. Acknowledging the importance of this facial assessment, this research was conducted to develop an initial assessment method that can classify normal and patient subjects based on facial motion analysis using Optical Flow algorithm as well as categorizing the severity of patient into six levels according to House-Brackmann (HB) system. Prior to initial assessment method been developed, two experiments were conducted to find the best parameter and best measurement for assessing facial paralysis. Distance and area were selected as two measurement parameters which were investigated in this research. A number of mathematical and statistical analyses were performed to determine the best measurement of these parameters. The results indicate that the distance is the best parameter and the value of initial exercise frame is the most important measurement in tracking the changes of facial movement. This thesis also presents the initial facial assessment method which contains the individual scores for each exercise involved in this research and also grading the paralysis for each patient corresponds to HB system. This research showed satisfactory results which was validated by a medical professional in Otorhinolaryngology. This initial facial assessment method may play a pivotal role in initiation of final assessment system for facial paralysis and develop better rehabilitation program for patients.
format	Thesis
author	Wan Syahirah, W. Samsudin
author_facet	Wan Syahirah, W. Samsudin
author_sort	Wan Syahirah, W. Samsudin
title	Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
title_short	Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
title_full	Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
title_fullStr	Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
title_full_unstemmed	Initial assessment of facial nerve paralysis based on motion analysis using optical flow method
title_sort	initial assessment of facial nerve paralysis based on motion analysis using optical flow method
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/61990/2/Full%20text.pdf
_version_	1747836852518256640

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

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