Table 2.

Kurtosis ($\kappa$), mean ($\mu$) and standard deviation ($\sigma$) for the distribution of ratio $R_L$ for a healthy participant (H) and stroke patients (P). Four $\kappa -\mu -\sigma$ column sets represent different segmentation methods: path-based movement segmentation (column $\mathbf{1}$), and time-based segmentation into one (column $\mathbf{2}$), three (column $\mathbf{3}$) and five (column $\mathbf{4}$) second movement periods.

			1				2				3				4
		$\mathbf{\kappa }$	$\mathbf{\mu }$	$\mathbf{\sigma }$		$\mathbf{\kappa }$	$\mathbf{\mu }$	$\mathbf{\sigma }$		$\mathbf{\kappa }$	$\mathbf{\mu }$	$\mathbf{\sigma }$		$\mathbf{\kappa }$	$\mathbf{\mu }$	$\mathbf{\sigma }$
H (a)		2.6	0.46	1.05		3.7	0.01	0.98		3.3	0.01	0.91		3.3	0.01	0.87
P1		2.8	0.52	1.05		3.5	0.12	1.02		3.3	0.13	0.95		3.2	0.14	0.9
P2 (b)		2.3	0.54	1.13		3.2	$-0.14$	1.17		2.8	$-0.12$	1.15		2.7	$-0.12$	1.12
P3		2.8	0.59	0.94		3.8	0.29	0.84		3.6	0.31	0.76		3.5	0.32	0.72
P4 (c)		2.4	1.45	0.92		2.3	0.92	0.93		2.1	1.00	0.84		2.1	1.03	0.79
P5		2.8	0.96	0.77		2.4	0.63	0.77		2.2	0.68	0.68		2.2	0.70	0.62
P6		2.9	1.00	0.87		3.9	0.62	0.80		3.8	0.65	0.73		3.5	0.67	0.69
P7		3.9	1.78	0.88		2.2	1.01	0.94		2.1	1.11	0.88		2.1	1.18	0.84