TY - CHAP
T1 - Method for muscle activity characterization using wearable devices
AU - Auccahuasi, Wilver
AU - Linares, Oscar
AU - Rojas, Karin
AU - Flores, Edward
AU - Benítes, Nicanor
AU - Auccahuasi, Aly
AU - Liendo, Milner
AU - Garcia-Rodriguez, Julio
AU - Bernardo, Grisi
AU - Campos-Sobrino, Morayma
AU - Junco-Quijandria, Alonso
AU - Gonzales-Flores, Ana
N1 - Publisher Copyright:
© 2024 River Publishers. All rights reserved.
PY - 2023/12/26
Y1 - 2023/12/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85183699406&partnerID=8YFLogxK
M3 - Capítulo
AN - SCOPUS:85183699406
SN - 9788770040174
SP - 359
EP - 377
BT - Advancement of Data Processing Methods for Artificial and Computing Intelligence
PB - River Publishers
ER -