Table 1.

Parameters of a Gaussian model applied to the PDF of the fluctuations in [PCr] measurement

	Rest						Moderate exercise
Subject no.	n	xcr (%)	xcrC95 (%)	w (%)	wC95 (%)	sr	n	xcw (%)	xcwC95 (%)	w (%)	wC95 (%)	sw
1	192	−0.103	0.148	2.549	0.366	1.275*	108	−0.146	0.278	3.073	0.773	1.537*
2	82	−0.132	0.429	3.990	2.514	1.995*	47	−0.220	0.309	2.066	0.762	1.033*
3	192	0.094	0.103	2.485	0.253	1.243*	114	−0.093	0.159	4.113	0.645	2.057*
4	75	0.058	0.081	2.432	0.197	1.216*	35	−0.101	0.233	2.775	0.603	1.388*
5	210	−0.021	0.211	2.752	0.544	1.376	100	−0.066	0.167	2.737	0.430	1.369*
6	49	0.026	0.668	4.435	3.145	2.218*	41	−0.556	0.755	3.397	2.278	1.699*
Mean	133	−0.013	0.273	3.107	1.170	1.554*	74	−0.197	0.317	3.027	0.915	1.514*
s.d.	72	0.090	0.230	0.874	1.306	0.437	37	0.184	0.223	0.691	0.679	0.346
Group response: all data	800	0.002	0.130	2.745	0.335	1.37*	445	−0.124	0.181	3.209	0.522	1.60*

Model parameters of the probability density function for the ‘noise’ fluctuation in [PCr] measurement for each subject at rest and during the steady state of moderate exercise, and fitted with a Gaussian function. n, number of points; xc_r and xc_w, centre of peak at rest and work, respectively; w, 2 × variance (ω); C₉₅, 95% confidence interval of estimation; s_r and s_w, standard deviation from the Gaussian model during rest and work, respectively.

^*Not significantly different from a Gaussian distribution using χ² goodness-of-fit (P > 0.05).