Fused ultrasound and electromyography-driven neuromuscular model to improve plantarflexion moment prediction across walking speeds.

Zhang, Qiang; Fragnito, Natalie; Franz, Jason R; Sharma, Nitin

Zhang, Qiang; Fragnito, Natalie; Franz, Jason R; Sharma, Nitin.

Afiliación

Zhang Q; Joint Department of Biomedical Engineering at the University of North Carolina-Chapel Hill and North Carolina State University, 1840 Entrepreneur Dr., 27695, Raleigh, NC, USA.
Fragnito N; Joint Department of Biomedical Engineering at the University of North Carolina-Chapel Hill and North Carolina State University, 333 S Columbia St., 27514, Chapel Hill, NC, USA.
Franz JR; Joint Department of Biomedical Engineering at the University of North Carolina-Chapel Hill and North Carolina State University, 1840 Entrepreneur Dr., 27695, Raleigh, NC, USA.
Sharma N; Joint Department of Biomedical Engineering at the University of North Carolina-Chapel Hill and North Carolina State University, 333 S Columbia St., 27514, Chapel Hill, NC, USA.

J Neuroeng Rehabil ; 19(1): 86, 2022 08 09.

Article en En | MEDLINE | ID: mdl-35945600

Asunto(s)

Músculo Esquelético; Velocidad al Caminar; Articulación del Tobillo/fisiología; Electromiografía/métodos; Humanos; Músculo Esquelético/diagnóstico por imagen; Músculo Esquelético/fisiología; Caminata/fisiología

Palabras clave

B-mode ultrasound imaging; Human intent prediction; Neuromuscular model; Rehabilitative/assistive robotics; Sensor fusion; Surface electromyography

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Músculo Esquelético / Velocidad al Caminar Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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