Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue
Joint Authors
Arjunan, Sridhar P.
Kumar, Dinesh K.
Naik, Ganesh
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-04
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The relationship between force of muscle contraction and muscle fatigue with six different features of surface electromyogram (sEMG) was determined by conducting experiments on thirty-five volunteers.
The participants performed isometric contractions at 50%, 75%, and 100% of their maximum voluntary contraction (MVC).
Six features were considered in this study: normalised spectral index (NSM5), median frequency, root mean square, waveform length, normalised root mean square (NRMS), and increase in synchronization (IIS) index.
Analysis of variance (ANOVA) and linear regression analysis were performed to determine the significance of the feature with respect to the three factors: muscle force, muscle fatigue, and subject.
The results show that IIS index of sEMG had the highest correlation with muscle fatigue and the relationship was statistically significant (P<0.01), while NSM5 associated best with level of muscle contraction (%MVC) (P<0.01).
Both of these features were not affected by the intersubject variations (P>0.05).
American Psychological Association (APA)
Arjunan, Sridhar P.& Kumar, Dinesh K.& Naik, Ganesh. 2014. Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue. BioMed Research International،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-453840
Modern Language Association (MLA)
Arjunan, Sridhar P.…[et al.]. Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue. BioMed Research International No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-453840
American Medical Association (AMA)
Arjunan, Sridhar P.& Kumar, Dinesh K.& Naik, Ganesh. Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-453840
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453840