Novel Methods for Measuring Depth of Anesthesia by Quantifying Dominant Information Flow in Multichannel EEGs

Table 3

Population pharmacokinetic parameter estimates and interindividual variability of the pharmacokinetic models of propofol.

Indices
	0.248	0.177	1.15	3.93	0.0145
	(16.4, 70.1)	(12.3, 44.9)	(19.7, 78.9)	(8.7, 136.4)	(0.8, 199.8)
	0.138	0.0387	1.04	5.86	0.155
	(10.9, 52.7)	(6.7, 56.8)	(10.8, 47.0)	(27.3, 113.1)	0.155 (17.9, 75.3)
	0.12	0.0753	1.0	2.44	0.138
	(0.1, 60.6)	(0.5, 48.0)	(0.3, 56.7)	(1.7, 126.1)	(1.1, 87.4)
SEF	16.9	10.1	1.0	3.07	0.09
	(15.3, 51.3)	(15.0, 52.5)	(9.8, 56.1)	(14.5, 78.7)	(12.4, 77.5)
SpE	0.745	0.632	1.04	5.04	0.101
	(1.8, 8.4)	(1.6, 21.5)	(3.8, 65.4)	(31.2, 164.3)	(0.8, 137.5)
SFS	5.23	6.19	0.967	4.69	0.201
	(3.5, 14.6)	(2.7, 26.4)	(10.0, 41.4)	(0.1, 163.7)	(27.8, 92.4)

Data are expressed estimate (RSE, % CV). A log-normal distribution of interindividual random variability was assumed. Residual random variability was modeled using additive error model. RSE: relative standard error = SE/mean × 100 (%). SE: standard error.