Resumen

PLAZA TORRES, Mauricio  y  BERNAL CASTILLO, Fredy. System for measurement and prediction of motion intention. Rev Cubana Invest Bioméd [online]. 2019, vol.38, n.2, pp. 277-295.  Epub 19-Jun-2019. ISSN 1561-3011.

At present, assistive devices for human movement such as exoskeletons are widely used to solve ergonomic problems in tasks such as repetitive work, rehabilitation, etc., this allows maintaining or improving the level of quality of life of the user which allows new movements or reduces fatigue at the end of a work day. The study and development of these exoskeletons largely requires external parameters (operating conditions and purpose) and internal movement parameters. These requirements and characteristics are fundamental aspects to detect what kind of action you want to perform in the process of body movement. The control of the exoskeletons that are currently used is usually done manually or the reaction to the movement detected, causing problems of delays in the realization of the movement or the discomfort of carrying out the movement, so studies are currently carried out to faithfully identify the action that the user tries to perform and support the movement from before it began. The objective of the project is to identify the intention of movement of people by means of electroencephalography and surface electromyography signals as a starting point for future exoskeleton control methods. As a result of the study, the design and implementation of a system was obtained to obtain, process and identify electrophysiological signals to predict the intention of movement of the lower limbs with success rates greater than 86.66%.

Palabras clave : exoskeleton; electroencephalography; electromyography; movement intent.

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