Affiliation:
1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,, Shenzhen,, China
2. Mechanical and Control Systems Engineering Department, INSA of Rennes,, Rennes,, France
Abstract
To date, most studies use surface electromyographic (sEMG) signals as the control source on active rehabilitation robots, and unilateral data are collected based on the gait symmetry hypothesis, which has caused much controversy. The purpose of this study is to quantitatively evaluate the sEMG activity asymmetry of bilateral muscles in lower extremities during functional tasks. Nine participants were instructed to perform static and dynamic steady state tests. sEMG signals from the tibialis anterior, soleus, medial gastrocnemius and lateral gastrocnemius muscles of bilateral lower extremities were recorded in the experiments. Muscle activities are quantified in terms of sEMG amplitude. We investigated whether characteristics of left limb and the one of the right limb have the same statistical characteristics during functional tasks using The Wilcoxon rank-sum test, and studied dynamic signal irregularity degree for sEMG activities via sample entropy. The total of muscle activities showed significant differences between left limb and right limb during the static steady state (p= 0.000). For dynamic steady states, there were significant differences for most muscle activities between left limb and right limb at different speeds (p= 0.000). Nevertheless, there was no difference between the lateral gastrocnemius for bilateral limb at 2.0 kilometers per hour (p= 0.060). For medial gastrocnemius, differences were not found between left limb and right limb at 1.0 and 3.0 kilometers per hours (p= 0.390 andp= 0.085, respectively). Similarly, there was no difference for soleus at 3.0 kilometers per hour (p= 0.115). The importance of the differences in muscle activities between left limb and right limb were found. These results can potentially be used for evaluating lower limb extremity function of special populations (elderly people or stroke patients) in an objective and simple method.
Funder
National Natural Science Foundation of China
National Key Technology R&D Program
STS Program of the Chinese Academy of Sciences
Guangdong Innovation Research Team Funds for Image-Guided Therapy
Key Program for the Guangdong Science and Technology Development Fund
Shenzhen Science and Technology Development Fund
Technology Innovation Fund of Shenzhen Peacock Talent
Nanshan District Project of Shenzhen
Subject
General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
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