2022
DOI: 10.18280/ria.360320
|View full text |Cite
|
Sign up to set email alerts
|

Electromyography Signal Analysis for the Detection of TMJ Disorder Using Classification Models and Multivariate Analysis

Abstract: Temporomandibular joint (TMJ) disorder is a wide term that encompasses a variety of disorders with varying etiologies. The purpose of this study was to analyses electromyographic signals with wavelet transform for the diagnostic methods which help in TMJ issues in patients who visited the Dental Centre. Due to the increasing importance of electromyography signals in diagnosing muscular disorders, such as temporomandibular joint disorder, it has been widely used. Through various techniques, such as discrete wav… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 20 publications
0
0
0
Order By: Relevance