Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography.

Tanaka, Taichi; Nambu, Isao; Maruyama, Yoshiko; Wada, Yasuhiro

Tanaka, Taichi; Nambu, Isao; Maruyama, Yoshiko; Wada, Yasuhiro.

Afiliación

Tanaka T; Department of Science Technology of Innovation, Nagaoka University of Technology, Nagaoka 940-2188, Japan.
Nambu I; Department of Electrical, Electronics and Information Engineering, Nagaoka University of Technology, Nagaoka 940-2188, Japan.
Maruyama Y; Department of Production Systems Engineering, National Institute of Technology, Hakodate College, Hakodate 042-8501, Japan.
Wada Y; Department of Electrical, Electronics and Information Engineering, Nagaoka University of Technology, Nagaoka 940-2188, Japan.

Sensors (Basel) ; 22(13)2022 Jul 02.

Article en En | MEDLINE | ID: mdl-35808500

Asunto(s)

Codo; Movimiento; Electromiografía/métodos; Humanos; Aprendizaje Automático; Movimiento (Física)

Palabras clave

EMG; classification model; electromyography; machine learning; signal normalization; z-score

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Codo / Movimiento Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón

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