z-logo
open-access-imgOpen Access
Electromyography Signal Analysis for the Detection of TMJ Disorder Using Classification Models and Multivariate Analysis
Author(s) -
Roopa B. Kakkeri,
D. S. Bormane
Publication year - 2022
Publication title -
revue d intelligence artificielle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.146
H-Index - 14
eISSN - 1958-5748
pISSN - 0992-499X
DOI - 10.18280/ria.360320
Subject(s) - multivariate statistics , temporomandibular joint , wavelet , pattern recognition (psychology) , electromyography , artificial intelligence , support vector machine , computer science , wavelet transform , multivariate analysis , discrete wavelet transform , temporomandibular joint disorder , joint (building) , speech recognition , orthodontics , machine learning , physical medicine and rehabilitation , medicine , engineering , architectural engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom