Back to Search
Start Over
Extracting Temporal and Spectral Parameters from Surface Electromyography Signals during a Fatigue Contraction
- Source :
- International Journal of Signal Processing Systems. :278-283
- Publication Year :
- 2013
- Publisher :
- EJournal Publishing, 2013.
-
Abstract
- This paper presents findings from a study of five healthy subjects performing 50% maximum voluntary contraction until complete fatigue of the muscle. An overlapping window technique was used to find the values for mean frequency (MNF), median frequency (MDF) of the power spectrum, root mean square (RMS) and muscle fibre conduction velocity (MFCV). The surface electromyography signal (sEMG) was collected from the vastus lateralis muscle using a three channel Laplacian electrode. The results show the MNF and MDF values showed a consistent trend with each other where they remained at steady values between 20-30% and 75-80% of the signal after which they fell 15-30% of this value. The RMS showed a linear increase in value. The MFCV showed a similar trend to that found in the MNF and MDF values.
- Subjects :
- Contraction (grammar)
medicine.diagnostic_test
business.industry
Computer science
Muscle fibre conduction velocity
Vastus lateralis muscle
Maximum voluntary contraction
Electrical engineering
Healthy subjects
Spectral density
Electromyography
Root mean square
medicine
business
Biomedical engineering
Subjects
Details
- ISSN :
- 23154535
- Database :
- OpenAIRE
- Journal :
- International Journal of Signal Processing Systems
- Accession number :
- edsair.doi...........3ef600d198526dfd95ec780487597ad0
- Full Text :
- https://doi.org/10.12720/ijsps.1.2.278-283