DocumentCode :
710942
Title :
On the detection of independent finger movements through two forearm myoelectrodes
Author :
Steele, P. ; Brooks, J. ; Gomes, N. ; Sun, Y. ; Chabot, E.
Author_Institution :
Univ. of Rhode Island, Kingston, RI, USA
fYear :
2015
fDate :
17-19 April 2015
Firstpage :
1
Lastpage :
2
Abstract :
This study analyses forearm muscle contractions that occur during movements of individual fingers. An amplitude threshold is implemented on the multiplied backwards difference (MOBD) of the signal to determine when a muscle contraction occurs, and is followed by a windowed variance threshold of the MOBD to determine which finger contracted. The purpose is to create a low-cost, computationally efficient method to determine specific finger contractions from the forearm. This method was able to differentiate the ring finger from the other fingers, which in comparison had a variance approximately ten times higher.
Keywords :
biomedical electrodes; electromyography; medical signal processing; amplitude threshold; forearm muscle contractions; forearm myoelectrodes; independent finger movement detection; individual finger movements; low-cost computationally efficient method; multiplied backwards difference; muscle contraction; windowed variance threshold; Algorithm design and analysis; Electrodes; Electromyography; Fingers; Indexes; Muscles; Wheelchairs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-4799-8358-2
Type :
conf
DOI :
10.1109/NEBEC.2015.7117220
Filename :
7117220
Link To Document :
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