Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders.

Jose, Shobha; George, S Thomas; Subathra, M S P; Handiru, Vikram Shenoy; Jeevanandam, Poornaselvan Kittu; Amato, Umberto; Suviseshamuthu, Easter Selvan

Jose, Shobha; George, S Thomas; Subathra, M S P; Handiru, Vikram Shenoy; Jeevanandam, Poornaselvan Kittu; Amato, Umberto; Suviseshamuthu, Easter Selvan.

Afiliación

Jose S; School of Engineering and TechnologyKarunya Institute of Technology and Sciences Coimbatore 641-114 India.
George ST; School of Engineering and TechnologyKarunya Institute of Technology and Sciences Coimbatore 641-114 India.
Subathra MSP; School of Engineering and TechnologyKarunya Institute of Technology and Sciences Coimbatore 641-114 India.
Handiru VS; Center for Mobility and Rehabilitation Engineering ResearchKessler Foundation West Orange NJ 07052 USA.
Jeevanandam PK; Data Business GroupAccenture Bridgewater NJ 08807 USA.
Amato U; Istituto di Scienze Applicate e Sistemi Intelligenti 'Eduardo Caianiello,' Consiglio Nazionale delle Ricerche 80131 Napoli Italy.
Suviseshamuthu ES; Center for Mobility and Rehabilitation Engineering ResearchKessler Foundation West Orange NJ 07052 USA.

IEEE Open J Eng Med Biol ; 1: 235-242, 2020.

Article en En | MEDLINE | ID: mdl-35402953

Palabras clave

Fractal dimension; intramuscular electromyography; lifting wavelet transform; local binary pattern; majority vote; multilayer perceptron neural network; neuromuscular disorders

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: IEEE Open J Eng Med Biol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos

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