融合Tsallis熵和波动分散熵的肌肉疲劳表征方法

董博,吕东澔,奚柯阳,李佳豪

Muscle fatigue characterization method based on Tsallis entropy and fluctuation-based dispersion entropy

Bo DONG,Donghao LV,Keyang XI,Jiahao LI

表 1 各受试者肌肉疲劳量化结果

Tab.1 Quantification of muscle fatigue in each subject

受试者 |K|/10−3 R2 RCMDE RCMFDE TSMFDE R2CMSE RTSMSIE RCMTFDE RCMDE RCMFDE TSMFDE R2CMSE RTSMSIE RCMTFDE 1 0.9624 1.0255 0.9700 4.7704 1.8652 11.4690 0.8487 0.5602 0.6075 0.7676 0.1827 0.8566 2 0.5862 0.4090 0.4854 2.8195 0.9940 5.2932 0.8874 0.6254 0.6930 0.8788 0.2402 0.8711 3 0.3699 0.3170 0.3323 1.6628 0.2713 3.7601 0.7840 0.4775 0.3432 0.5744 0.0361 0.7991 4 0.6434 0.7871 0.5900 3.1387 1.4622 6.2998 0.8996 0.7262 0.6182 0.8329 0.2929 0.8428 5 0.5108 0.4439 0.4606 1.8734 0.8541 4.3447 0.8746 0.5063 0.5460 0.6432 0.0331 0.7673 6 0.4481 0.8473 0.6443 0.8831 0.8096 6.0161 0.4126 0.3599 0.3243 0.1194 0.1234 0.5366 7 1.3697 0.9678 0.8773 6.2022 0.7139 14.978 0.7653 0.5504 0.4727 0.7693 0.0967 0.7742 8 1.0634 0.8837 0.7391 5.4986 1.9419 9.1781 0.9288 0.5104 0.4907 0.9070 0.3269 0.8417 9 0.3867 0.4485 0.3500 1.9830 1.1216 3.0521 0.4342 0.3358 0.2270 0.3872 0.0771 0.4359 10 0.5508 0.6795 1.1801 3.4338 0.7740 5.5158 0.7691 0.3786 0.5324 0.8341 0.0678 0.6282 11 1.0387 1.0488 0.7723 4.6452 0.4519 9.1445 0.8046 0.3863 0.4188 0.8945 0.0143 0.8987 12 0.6513 0.7886 0.6679 3.4541 1.6673 5.7586 0.8318 0.2394 0.2962 0.8495 0.2671 0.8481 13 0.8548 1.0658 1.5703 6.0239 1.2800 7.1424 0.8704 0.4671 0.5831 0.6910 0.1105 0.8640 14 0.9723 0.9723 1.0252 4.7224 1.2900 10.031 0.8371 0.5973 0.5563 0.8841 0.1679 0.9365 15 0.3695 0.5691 0.3633 3.4210 0.4837 4.1925 0.5551 0.2140 0.1964 0.6676 0.0111 0.6118 平均值 0.7185 0.7502 0.7352 3.6354 1.0653 7.0783 0.7668 0.4623 0.4603 0.7133 0.1365 0.7675 标准差 0.2959 0.2474 0.3344 1.6385 0.4964 3.1750 0.1590 0.1383 0.1469 0.2108 0.1012 0.1413