DocumentCode
2274141
Title
Comparison between two control algorithms for EMG-based navigation
Author
LaBarge, Erin ; Fortunati, Jonathan ; Sullivan, Meaghan ; Bartels, Nathan ; Zhang, Ronald ; Sun, Ying
Author_Institution
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
fYear
2010
fDate
26-28 March 2010
Firstpage
1
Lastpage
2
Abstract
The purpose of this study was to develop and compare two control algorithms that could potentially utilize two channels of surface electromyogram (EMG) to navigate electromechanical devices such as a powered wheelchair in all directions, i.e. forward (F), backward (B), right (R), and left (L). The first algorithm uses a non-timed muscle twitch to change between six modes (F, B, FR, FL, BR and BL), while the second algorithm uses a quick-timed twitch to switch between two modes (F and B). The second portion of this study consisted of acquiring EMG signals from the muscles of the forearm through a simple instrumentation circuit. The study was focused on evaluating the effectiveness of the controlling schemes. While the second algorithm offered faster manipulations, the first algorithm was more reliable and resulted in fewer collisions.
Keywords
electromyography; handicapped aids; medical control systems; wheelchairs; control algorithms; electromechanical devices; instrumentation circuit; nontimed muscle; powered wheelchair; quick-timed twitch; surface electromyogram; Circuits; Electromechanical devices; Electromyography; Hardware; Instruments; Microcontrollers; Muscles; Navigation; Software algorithms; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location
New York, NY
Print_ISBN
978-1-4244-6879-9
Type
conf
DOI
10.1109/NEBC.2010.5458223
Filename
5458223
Link To Document