Method for muscle activity characterization using wearable devices

Wilver Auccahuasi, Oscar Linares, Karin Rojas, Edward Flores, Nicanor Benítes, Aly Auccahuasi, Milner Liendo, Julio Garcia-Rodriguez, Grisi Bernardo, Morayma Campos-Sobrino, Alonso Junco-Quijandria, Ana Gonzales-Flores

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva


Currently, many upper limb prosthesis solutions are being presented, which are activated through the recording and processing of muscle activity, for which electromyography signal acquisition circuits are developed, where they are processed to find a level of activation necessary to activate various mechanisms that belong to the prosthesis. In the present work, we use a wearable device that performs the simultaneous recording of eight muscles, because it has integrated eight acquisition channels, and the device allows the recording and wireless sending of signals to various devices. As a result, we present an acquisition protocol where the registration of the arm muscles is performed, where we separate each of the signals that correspond to a particular muscle. The proposed method can be used in various applications where it is required to characterize the work of certain muscles in certain activities, which can create a database of the behavior of each muscle for certain activ-ities, in order to improve the design of prostheses. As conclusion, we present how these signals can be used to recognize characteristic patterns using arti-ficial intelligence techniques.

Idioma originalInglés
Título de la publicación alojadaAdvancement of Data Processing Methods for Artificial and Computing Intelligence
EditorialRiver Publishers
Número de páginas19
ISBN (versión digital)9788770040167
ISBN (versión impresa)9788770040174
EstadoPublicada - 26 dic. 2023


Profundice en los temas de investigación de 'Method for muscle activity characterization using wearable devices'. En conjunto forman una huella única.

Citar esto