Wan Syahirah, Wan Samsudin and Rosdiyana, Samad and Sundaraj, Kenneth and Mohd Zaki, Ahmad (2021) Introduction of Static and Dynamic Features to Facial Nerve Paralysis Evaluation. In: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 (NUSYS’19) , 2-3 December 2019 , Universiti Malaysia Pahang, Gambang Campus, Kuantan, Pahang, Malaysia. pp. 947-963., 666. ISBN 978-981-15-5281-6
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Abstract
This paper presents a novel approach of facial nerve paralysis evaluation system where it includes both static and dynamic features to evaluate the severity level of paralysis and classify the type of paralysis whether it is Upper Motor Neuron (UMN) lesion or Lower Motor Neuron (LMN) lesion. Two assessment proposed in the system, regional assessment and lesion assessment, which used static and dynamic features respectively. Individual score, total score and paralysis score are introduced and experiments reveal that the proposed approach demonstrates till 100% accuracy in classifying the subjects into normal and patient, the level of severity, and also the type of lesion by using the k-NN classifier. The results proved that with more experiments and by increasing the number of the data, the system will become a great aid to clinicians in evaluation of facial nerve paralysis and rehabilitation programs to patients.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Part of the Lecture Notes in Electrical Engineering book series |
| Uncontrolled Keywords: | Facial nerve paralysis, Facial nerve evaluation, Optical flow, Gabor filter, Upper motor neuron, Lower motor neuron |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 11 May 2021 04:16 |
| Last Modified: | 11 May 2021 04:16 |
| URI: | http://umpir.ump.edu.my/id/eprint/31412 |
| Download Statistic: | View Download Statistics |
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