Pattern Recognition in Surface Electromyography
Alternative metrics PlumXhttp://hdl.handle.net/11012/42933
MetadataShow full item record
In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.
Document typePeer reviewed
SourceProceedings of the 21st Conference STUDENT EEICT 2015. s. 68-70. ISBN 978-80-214-5148-3
- Student EEICT 2015