Publication Type : Conference Paper
Publisher : IEEE
Source : 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Url : https://doi.org/10.1109/embc40787.2023.10340311
Campus : Coimbatore
School : School of Artificial Intelligence - Coimbatore
Year : 2023
Abstract : Fiber composition is an important factor influencing force generation and endurance of different skeletal muscles. The analysis of the heterogeneous composition of muscles has gained importance in the field of sports biomechanics and biomedicine. In this work, an attempt is made to analyze the fiber composition of Rectus femoris (type II dominant) and Soleus (type I dominant) muscles using surface electromyography. Isometric signals are acquired from the muscles of 15 participants using a well-defined protocol and are further processed using reduced interference Rihaczek distribution. Instantaneous median frequency (IMDF) is extracted from the non-fatigue (NF) and fatigue (F) segments of the signals and is analyzed. From the distributions, it is found that the spectral power increases in the lower frequencies of the signal recorded from the rectus femoris and in the higher frequencies of signals recorded from the soleus during fatigue. The soleus is showing higher IMDF values than the rectus femoris in both segments. A reduction of 14% and an increase of 10% is observed in the IMDF during fatigue for rectus femoris and soleus, respectively. Thus, the extracted feature is found to be sensitive and statistically significant (p<0.05) to differentiate fiber types as well as the NF and F states of the two muscles.Clinical Relevance— This study may be extended to non-invasively analyze the fiber type shifts in muscles due to athletic training and pathological conditions.
Cite this Research Publication : Remya R Nair, Divya Sasidharan, Venugopal G, Non-invasive Analysis of Fiber Type Composition in Lower Limb Skeletal Muscles Using Reduced Interference Rihaczek Distribution, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2023, https://doi.org/10.1109/embc40787.2023.10340311