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