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- W42836385 abstract "Evaluation to surface electromyographic (sEMG) of muscles is one of the important topics in human-computer interaction filed. This paper aims to quantitatively describe the difference in non-Gaussianity and non-linearity levels between the large muscle sEMG (i.e. biceps brachii, BB) and the small muscle sEMG (i.e. first dorsal interossei, FDI), which is changed with the increase of the motor unit (MU) recruitment numbers and exertion, as well the patterns of firing rate (FR). The mathematical physiology model of the BB and the FDI sEMG was developed under ten isometric maximum voluntary contraction (MVC) levels from 10% to 100% MVC for a period of 5s. Higher order statistics (HOS) detected the non-linearity and non-Gaussianity of the BB and the FDI sEMG. The Wilcoxon signed-rank test described the significant differences in non-Gaussianity/ linearity between the BB and the FDI at p<0.05. Results showed that the BB sEMG signals tended to a non-Gaussian distribution at 10%, 40%, 60~100% MVC and a non-linear distribution at 90%MVC. The FDI sEMG signals tended towards non-Gaussianity at 40%~60%, 80% MVC and non-linearity at 30% MVC. The BB's Gaussianity and linearity results were compared with FDI's. The linearity test showed no significant differences between two sEMG signals. However, The Gaussianity test exhibited a significant difference between them. There are three reasons for this: 1) the difference in MU recruitment range between the BB and the FDI; 2) FR and recruitment respectively play a important role in the small and the large muscles activity. 3) the difference in MUs recruitment order between small and largest muscles. The findings of this study have guiding significance on large and small muscles capability assessment." @default.
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- W42836385 date "2013-01-01" @default.
- W42836385 modified "2023-09-23" @default.
- W42836385 title "Higher Order Statistics Analyses Based on the Mathematical Model of Surface Electromyography" @default.
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- W42836385 doi "https://doi.org/10.1007/978-3-642-39182-8_47" @default.
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