Control of a Parallel Myoelectric Elbow Using Higher Order Statistics

Author

Díaz, Salvador A Arroyo ; Vázquez, J. Rafael Mendoza ; González, J. Luis Vázquez ; Sánchez, Alejandro Díaz

Author_Institution

Nat. Inst. of Astrophys. Opt. & Electron. INAOE. Cholula, Puebla, Mexico

fYear

2009

fDate

26-28 Feb. 2009

Firstpage

225

Lastpage

230

Abstract

This work presents one method to classify myoelectric signal employing higher order statistics. The results letus to obtain control commands of one parallel mechanism for a prosthetic transhumeral elbow. Themyoelectric signals are obtained from the user´s muscles in four channels. The results are commands of movements for the prosthesis in order to emulate a biological elbow. In this case, the higher order statistics is the best method because is easy to implement and have fast processing and can be programmed using a DSP microcontroller.

Keywords

artificial limbs; control engineering computing; electromyography; microcontrollers; statistics; DSP microcontroller; biological elbow; higher order statistics; parallel myoelectric elbow control; prosthetic transhumeral elbow; themyoelectric signals; Actuators; Automatic control; Elbow; Higher order statistics; Humans; Leg; Muscles; Prosthetic hand; Signal processing; Topology; Fuzzy Clusters; High order statistics; Myoelectric Control; Prosthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Communications, and Computers, 2009. CONIELECOMP 2009. International Conference on

Conference_Location

Cholula, Puebla

Print_ISBN

978-0-7695-3587-6

Electronic_ISBN

978-0-7695-3587-6

Type

conf

DOI

10.1109/CONIELECOMP.2009.55

Filename

5163922