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

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 Cen...

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Veröffentlicht in:	Revue d'Intelligence Artificielle 2022-06, Vol.36 (3), p.503-508
Hauptverfasser:	Kakkeri, Roopa B., Bormane, Dattatraya S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decomposition Discrete Wavelet Transform Disorders Electrodes Electromyography Females Multivariate analysis Orthodontics Power spectral density Signal analysis Signal processing Support vector machines Temporomandibular joint disorders Wavelet transforms
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