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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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 Facial nerve paralysis Facial paralysis Motion analysis Rehabilitation Facial nerve 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. 2019-09-25T04:21:29Z 2019-09-25T04:21:29Z 2015 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61990 en Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering |
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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 |
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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. |
author2 |
Associate Professor Ir. Dr. Kenneth Sundaraj |
author_facet |
Associate Professor Ir. Dr. Kenneth Sundaraj Wan Syahirah, W. Samsudin |
format |
Thesis |
author |
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 |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2019 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61990 |
_version_ |
1651868623464038400 |