Table 2.

Feature comparison in differentiating between before and after exercise measurements. The p-value of discriminating between before exercise (BE) and after three exercises (E1, E2 and E3) is calculated using the Mann-Whitney test. The average of the three p-values ($\overline{p}$) is given in the last column of each feature. The lowest $\overline{p}$ of each feature is highlighted. Uncorrected p-values from the Mann-Whitney test, where * and ** indicate $p\le 0.05$ and $p\le 0.005$, respectively; † indicates p-values that remain significant with a $p\le 0.05$ after post-correction (Bonferroni-Holm, $\alpha <0.05$).

		Energy-Unfiltered				Entropy-Unfiltered				Energy-Filtered				Entropy-Filtered
Derivative	p1	p2	p3	$\overline{p}$	p1	p2	p3	$\overline{p}$	p1	p2	p3	$\overline{p}$	p1	p2	p3	$\overline{p}$
Order	(BE vs. E1)	(BE vs. E2)	(BE vs. E3)		(BE vs. E1)	(BE vs. E2)	(BE vs. E3)		(BE vs. E1)	(BE vs. E2)	(BE vs. E3)		(BE vs. E1)	(BE vs. E2)	(BE vs. E3)
0	2.1$\times {10}^{-1}$	6.4$\times {10}^{-3**†}$	1.1$\times {10}^{-2*}$	7.5$\times {10}^{-2}$	2.5$\times {10}^{-1}$	2.6$\times {10}^{-1}$	1.9$\times {10}^{-2*}$	1.8$\times {10}^{-1}$	1.4$\times {10}^{-1}$	8.4$\times {10}^{-3**†}$	1.6$\times {10}^{-2*†}$	5.3$\times {10}^{-2}$	1.4$\times {10}^{-1}$	8.1$\times {10}^{-2*}$	2.2$\times {10}^{-3**†}$	7.3$\times {10}^{-2}$
1	6.1$\times {10}^{-1}$	2.9$\times {10}^{-1}$	9.6$\times {10}^{-1}$	6.2$\times {10}^{-1}$	9.7$\times {10}^{-1}$	9.0$\times {10}^{-2*}$	5.3$\times {10}^{-1}$	5.3$\times {10}^{-1}$	1.2$\times {10}^{-2**†}$	2.1$\times {10}^{-4**†}$	9.7$\times {10}^{-5**†}$	4.3$\times {10}^{-3**†}$	1.5$\times {10}^{-2*†}$	1.9$\times {10}^{-4**†}$	8.7$\times {10}^{-5**†}$	5.1$\times {10}^{-3**†}$
2	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	5.7$\times {10}^{-3**†}$	1.0$\times {10}^{-4**†}$	7.8$\times {10}^{-5**†}$	2.0$\times {10}^{-3**†}$	4.8$\times {10}^{-3**†}$	6.9$\times {10}^{-5**†}$	3.5$\times {10}^{-5**†}$	1.6$\times {10}^{-3**†}$
3	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	6.8$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.7$\times {10}^{-7**†}$	4.4$\times {10}^{-3**†}$	4.9$\times {10}^{-5**†}$	5.2$\times {10}^{-5**†}$	1.5$\times {10}^{-3**†}$	4.2$\times {10}^{-3**†}$	4.6$\times {10}^{-5**†}$	7.3$\times {10}^{-5**†}$	1.4$\times {10}^{-3**†}$
4	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.5$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.5$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$	6.0$\times {10}^{-3**†}$	5.2$\times {10}^{-5**†}$	4.6$\times {10}^{-5**†}$	2.0$\times {10}^{-3**†}$	5.7$\times {10}^{-3**†}$	6.2$\times {10}^{-5**†}$	7.3$\times {10}^{-5**†}$	2.0$\times {10}^{-3**†}$
5	7.3$\times {10}^{-7**†}$	8.2$\times {10}^{-8**†}$	7.0$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	8.2$\times {10}^{-8**†}$	7.0$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$	8.3$\times {10}^{-1}$	2.1$\times {10}^{-1}$	7.9$\times {10}^{-1}$	6.1$\times {10}^{-1}$	9.8$\times {10}^{-1}$	9.8$\times {10}^{-2*}$	4.7$\times {10}^{-1}$	5.1$\times {10}^{-1}$
6	7.8$\times {10}^{-7**†}$	8.8$\times {10}^{-8**†}$	7.6$\times {10}^{-8**†}$	3.2$\times {10}^{-7**†}$	7.8$\times {10}^{-7**†}$	8.8$\times {10}^{-8**†}$	7.6$\times {10}^{-8**†}$	3.2$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	9.5$\times {10}^{-8**†}$	8.2$\times {10}^{-8**†}$	3.0$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	8.8$\times {10}^{-8**†}$	7.6$\times {10}^{-8**†}$	3.0$\times {10}^{-7**†}$
7	7.8$\times {10}^{-7**†}$	1.0$\times {10}^{-7**†}$	7.6$\times {10}^{-8**†}$	3.2$\times {10}^{-7**†}$	7.8$\times {10}^{-7**†}$	1.0$\times {10}^{-7**†}$	7.6$\times {10}^{-8**†}$	3.2$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	7.0$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	7.0$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.9$\times {10}^{-7**†}$
8	9.0$\times {10}^{-7**†}$	1.3$\times {10}^{-7**†}$	9.5$\times {10}^{-8**†}$	3.7$\times {10}^{-7**†}$	9.7$\times {10}^{-7**†}$	1.3$\times {10}^{-7**†}$	1.0$\times {10}^{-7**†}$	4.0$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
9	1.8$\times {10}^{-6**†}$	7.6$\times {10}^{-7**†}$	4.3$\times {10}^{-7**†}$	1.0$\times {10}^{-6**†}$	3.1$\times {10}^{-6**†}$	1.4$\times {10}^{-6**†}$	1.4$\times {10}^{-6**†}$	2.0$\times {10}^{-6**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
10	1.5$\times {10}^{-5**†}$	2.2$\times {10}^{-5**†}$	2.2$\times {10}^{-5**†}$	1.9$\times {10}^{-5**†}$	8.0$\times {10}^{-6**†}$	7.1$\times {10}^{-6**†}$	1.1$\times {10}^{-6**†}$	5.4$\times {10}^{-6**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
11	1.8$\times {10}^{-4**†}$	1.7$\times {10}^{-3**†}$	2.7$\times {10}^{-4**†}$	7.0$\times {10}^{-4**†}$	7.4$\times {10}^{-5**†}$	4.5$\times {10}^{-4**†}$	7.3$\times {10}^{-5**†}$	2.0$\times {10}^{-4**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
12	1.9$\times {10}^{-3**†}$	1.7$\times {10}^{-1}$	1.6$\times {10}^{-2*}$	6.4$\times {10}^{-2}$	1.9$\times {10}^{-3**†}$	1.7$\times {10}^{-1}$	1.0$\times {10}^{-2*}$	6.2$\times {10}^{-2}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
13	2.5$\times {10}^{-2*}$	7.3$\times {10}^{-1}$	1.9$\times {10}^{-1}$	3.1$\times {10}^{-1}$	3.9$\times {10}^{-2*}$	4.7$\times {10}^{-1}$	2.8$\times {10}^{-1}$	2.6$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
14	1.4$\times {10}^{-1}$	1.8$\times {10}^{-1}$	7.5$\times {10}^{-1}$	3.6$\times {10}^{-1}$	1.2$\times {10}^{-1}$	2.4$\times {10}^{-1}$	5.8$\times {10}^{-1}$	3.1$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
15	4.3$\times {10}^{-1}$	5.5$\times {10}^{-2}$	6.4$\times {10}^{-1}$	3.8$\times {10}^{-1}$	3.0$\times {10}^{-1}$	6.8$\times {10}^{-2}$	7.8$\times {10}^{-1}$	3.8$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
16	7.1$\times {10}^{-1}$	2.0$\times {10}^{-2*}$	3.9$\times {10}^{-1}$	3.7$\times {10}^{-1}$	7.0$\times {10}^{-1}$	1.5$\times {10}^{-2*}$	3.8$\times {10}^{-1}$	3.6$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
17	8.2$\times {10}^{-1}$	1.2$\times {10}^{-2*}$	2.6$\times {10}^{-1}$	3.6$\times {10}^{-1}$	8.7$\times {10}^{-1}$	1.1$\times {10}^{-2*}$	2.3$\times {10}^{-1}$	3.7$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
18	8.5$\times {10}^{-1}$	1.1$\times {10}^{-2*}$	2.3$\times {10}^{-1}$	3.6$\times {10}^{-1}$	8.7$\times {10}^{-1}$	1.2$\times {10}^{-2*}$	2.2$\times {10}^{-1}$	3.6$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
19	8.6$\times {10}^{-1}$	1.2$\times {10}^{-2*}$	2.3$\times {10}^{-1}$	3.6$\times {10}^{-1}$	8.1$\times {10}^{-1}$	1.2$\times {10}^{-2*}$	2.4$\times {10}^{-1}$	3.5$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$
20	8.2$\times {10}^{-1}$	1.3$\times {10}^{-2*}$	2.9$\times {10}^{-1}$	3.8$\times {10}^{-1}$	8.0$\times {10}^{-1}$	1.3$\times {10}^{-2*}$	2.7$\times {10}^{-1}$	3.6$\times {10}^{-1}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$	7.3$\times {10}^{-7**†}$	6.5$\times {10}^{-8**†}$	6.1$\times {10}^{-8**†}$	2.8$\times {10}^{-7**†}$