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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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.

Original languageEnglish
Title of host publicationAdvancement of Data Processing Methods for Artificial and Computing Intelligence
PublisherRiver Publishers
Number of pages19
ISBN (Electronic)9788770040167
ISBN (Print)9788770040174
StatePublished - 26 Dec 2023


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