DocumentCode :
2530960
Title :
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
Link To Document :
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