Publicado

2020-07-01

Torque estimation based on surface electromyography: potential tool for knee rehabilitation

Estimación de par basada en electromiografía de superficie: potencial herramienta para la rehabilitación de rodilla

Palabras clave:

Knee Joint, Electromyography, Torque, Muscle Contraction (en)
Articulación de la rodilla, Electromiografía, Contracción muscular (es)

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Autores/as

  • Mario Andrés Portela Universidad Pontificia Bolivariana - Facultad de Ingeniería Eléctrica y Electrónica - Grupo de investigaciones en Bioingeniería - Medellín - Colombia. https://orcid.org/0000-0001-5789-1420
  • Juanita Irina Sánchez-Romero Universidad Pontificia Bolivariana - Facultad de Ingeniería Eléctrica y Electrónica - Grupo de investigaciones en Bioingeniería - Medellín - Colombia. https://orcid.org/0000-0003-4109-2864
  • Vera Zasúlich Pérez Universidad Pontificia Bolivariana - Facultad de Ingeniería Eléctrica y Electrónica - Grupo de investigaciones en Bioingeniería - Medellín - Colombia. https://orcid.org/0000-0003-3702-8173
  • Manuel José Betancur Universidad Pontificia Bolivariana - Facultad de Ingeniería Eléctrica y Electrónica - Grupo de Automática y Diseño A+D - Medellín - Colombia. https://orcid.org/0000-0002-9389-3308

 

Introduction: Multiple signal processing studies have reported the application of surface electromyography (sEMG) signals in robotics and motor rehabilitation processes.

Objective: To conduct a literature review on the use of sEMG signals as an alternative method for knee torque estimation in order to objectively measure the progress of patients at different stages of knee injury rehabilitation.

Materials and methods: A literature review of studies published between 1986 and 2018, without geographical limits, was carried out in the Engineering Village, IEEE Xplore, Science- Direct, Web of Science, Scopus, and PubMed databases by combining 8 search terms.

Results: After completing the initial search, 355 records were retrieved. Duplicated publications were eliminated, and 308 articles were analyzed to determine if they met the inclusion criteria. Finally, 18 studies describing, in a comparative way, how to estimate torque based on sEMG signals were included.

Conclusion: The use of sEMG signals to calculate joint torque is an alternative method that allows therapists to obtain quantitative parameters and assess the progress of patients undergoing knee rehabilitation processes.

 

Introducción. Múltiples estudios de procesamiento de señales han reportado la aplicación de las señales de electromiografía de superficie (sEMG) en robótica y en procesos de rehabilitación motora.

Objetivo. Realizar una revisión de la literatura sobre el uso de señales de sEMG como alternativa para la estimación del par de rodilla con el fin de medir objetivamente el progreso de los pacientes en las diferentes etapas de rehabilitación de lesiones de rodilla.

Materiales y métodos. Se realizó una revisión de la literatura publicada entre 1986 y 2018, sin límites geográficos, en las bases de datos Engineering Village, IEEE Xplore, ScienceDirect, Web of Science, Scopus y PubMed mediante la combinación de 8 términos de búsqueda.

Resultados. Al finalizar la búsqueda inicial se obtuvieron 355 registros. Luego de realizar la remoción de duplicados esta cifra descendió a 308, los cuales fueron analizados para determinar si cumplían con los criterios de inclusión. Finalmente se incluyeron 18 estudios que describen de forma comparativa cómo estimar el par a partir de señales de sEMG.

Conclusión. El uso de señales de sEMG para calcular el par en una articulación es una herramienta alternativa que permite al terapeuta acceder a parámetros cuantitativos y, de esta forma, valorar el progreso de los pacientes durante el proceso de rehabilitación de rodilla. 

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