Title
Prototype upper limb prosthetic controlled by myoelectric signals using a digital signal processor platform
Date Issued
01 January 2015
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Kluwer Academic Publishers
Abstract
In this research project, we aimed to design and implement an upper limb prosthesis controlled by myoelectric signals using a digital signal processor platform. To emulate the seven main movements of a human arm, a robotic arm was produced that was capable of using the control signals generated by a human arm, where we captured the electrical pulses to design a silver/silver chloride contact type surface electrode using a plating process in a chemical laboratory. This method is an alternative technological support for amputees or partially paralyzed muscles, which typically remain intact so they can exercise control. The signals produced by these muscles can operate a prosthesis or a robotic device. Therefore, the prototype arm design process comprised the following steps. The dimensions and joints of a human arm were determined and reproduced as a robotic arm, where software was designed to run simulations of the robotic arm to make corrections before the final prototype design was produced. The robotic arm was implemented according to the specifications obtained and a motor control circuit was produced to replicate each of the seven movements of the robotic arm. Finally, a validation was performed for each of the movements performed by the robotic arm by considering the position, speed of flexion, and extension of the joints.
Start page
147
End page
159
Volume
26
Language
English
OCDE Knowledge area
Robótica, Control automático
Bioinformática
Scopus EID
2-s2.0-84916623516
Source
Mechanisms and Machine Science
Resource of which it is part
Mechanisms and Machine Science
ISSN of the container
22110984
ISBN of the container
9783319107226
Conference
2nd International Conference on Interdisciplinary Applications in Kinematics, 2013
Sources of information:
Directorio de Producción Científica
Scopus