Open AccessAnalysis of Myoelectric Signals to Prosthesis Applications
Author(s) -
Bruna S. Morais,
Sergio Nogueira,
T. Russo,
Guto Leoni Santos,
Luján Salazar,
Arlindo Neto Montagnoli
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1826/1/012084
Subject(s) - prosthesis , computer science , prosthetic hand , electromyography , signal (programming language) , protocol (science) , work (physics) , biomedical engineering , physical medicine and rehabilitation , engineering , artificial intelligence , medicine , mechanical engineering , alternative medicine , pathology , programming language
This work presents a myoelectric system measurement incorporated in an arm band device, particularly designed for application in upper-limb myoelectric prosthesis with pattern recognition-based sEMG control. For this particular use, specifications such as low cost, high sampling frequency, size and weight, may be observed. Moreover, it is introduced an acquisition protocol to evaluation of the myoelectric signal in daily activities.