融合Tsallis熵和波动分散熵的肌肉疲劳表征方法
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董博,吕东澔,奚柯阳,李佳豪
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Muscle fatigue characterization method based on Tsallis entropy and fluctuation-based dispersion entropy
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Bo DONG,Donghao LV,Keyang XI,Jiahao LI
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| 表 3 不同特征肌肉疲劳分类结果 |
| Tab.3 Results of muscle fatigue classification with different features |
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| 特征 | 分类器 | Sen/% | Spe/% | Pre/% | F1/% | A/% | | iEMG | SVM | 68.889 | 67.778 | 68.710 | 68.300 | 68.333 | | MF | SVM | 66.889 | 81.333 | 81.276 | 71.204 | 74.111 | | RCMDE | SVM | 86.222 | 86.000 | 86.636 | 85.821 | 86.111 | | RCMFDE | SVM | 83.333 | 89.778 | 90.452 | 86.001 | 86.556 | | TSMFDE | SVM | 85.556 | 89.556 | 89.89 | 87.136 | 87.556 | | R2CMSE | SVM | 88.444 | 90.889 | 91.823 | 89.319 | 89.667 | | RTSMSIE | SVM | 71.778 | 62.222 | 66.373 | 68.327 | 67.000 | | RCMTFDE | SVM | 98.667 | 94.667 | 95.287 | 96.800 | 96.667 |
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