Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation

This paper present a novel approach of forehead lesion assessment using Gabor filter method to identify the type of facial nerve paralysis and proposed a forehead-HB score table to assist the clinicians in assessing the facial nerve function quantitatively, quicker and in a convenient way. A 100% of...

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Main Authors: Wan Syahirah, Wan Samsudin, Rosdiyana, Samad, Sundaraj, Kenneth, Mohamed, Rizon, Mohd Zaki, Ahmad
Format: Conference or Workshop Item
Language:English
Published: ICAROB2020 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31431/1/Introduction%20of%20Forehead%20Lesion%20Assessment1.pdf
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author Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Sundaraj, Kenneth
Mohamed, Rizon
Mohd Zaki, Ahmad
author_facet Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Sundaraj, Kenneth
Mohamed, Rizon
Mohd Zaki, Ahmad
author_sort Wan Syahirah, Wan Samsudin
collection UMP
description This paper present a novel approach of forehead lesion assessment using Gabor filter method to identify the type of facial nerve paralysis and proposed a forehead-HB score table to assist the clinicians in assessing the facial nerve function quantitatively, quicker and in a convenient way. A 100% of accuracy has been obtained in identifying the two type of facial lesion, Upper Motor Neuron (UMN) and Lower Motor Neuron (LMN) lesion. Increasing more data may enhance the performance of the accuracy
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spelling UMPir314312021-05-11T04:39:44Z http://umpir.ump.edu.my/id/eprint/31431/ Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation Wan Syahirah, Wan Samsudin Rosdiyana, Samad Sundaraj, Kenneth Mohamed, Rizon Mohd Zaki, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper present a novel approach of forehead lesion assessment using Gabor filter method to identify the type of facial nerve paralysis and proposed a forehead-HB score table to assist the clinicians in assessing the facial nerve function quantitatively, quicker and in a convenient way. A 100% of accuracy has been obtained in identifying the two type of facial lesion, Upper Motor Neuron (UMN) and Lower Motor Neuron (LMN) lesion. Increasing more data may enhance the performance of the accuracy ICAROB2020 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31431/1/Introduction%20of%20Forehead%20Lesion%20Assessment1.pdf Wan Syahirah, Wan Samsudin and Rosdiyana, Samad and Sundaraj, Kenneth and Mohamed, Rizon and Mohd Zaki, Ahmad (2020) Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation. In: Proceedings of International Conference on Artificial Life and Robotics (ICAROB2020) , 13-16 January 2020 , Oita, Japan. pp. 348-352., 25. ISSN 2188-7829 (Published) https://doi.org/10.5954/ICAROB.2020.OS10-7
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Wan Syahirah, Wan Samsudin
Rosdiyana, Samad
Sundaraj, Kenneth
Mohamed, Rizon
Mohd Zaki, Ahmad
Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title_full Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title_fullStr Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title_full_unstemmed Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title_short Introduction of Forehead Lesion Assessment with House-Brackmann Score for Facial Nerve Paralysis Evaluation
title_sort introduction of forehead lesion assessment with house brackmann score for facial nerve paralysis evaluation
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/31431/1/Introduction%20of%20Forehead%20Lesion%20Assessment1.pdf
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