Table 1.

Multiple linear regression of the BRS (gain) and BEI estimated by the sequence method for original SAP and PI series.

	LP filtered series only		HP filtered series only		LP + HP filtered series
	BRS	BEI	BRS	BEI	BRS	BEI
d	R2	R2	R2	R2	R2	R2
0	0.06	0.06	0.89∗	0.84∗	0.89∗	0.85∗#
1	0.06	0.05	0.86∗	0.84∗	0.86∗	0.84∗
2	0.01	0.01	0.62∗	0.80∗	0.63∗	0.80∗
3	0.04	0.05	0.89∗	0.86∗	0.89∗	0.86∗
4	0.08#	0.00	0.76∗	0.90∗	0.76∗	0.90∗
5	0.03	0.16#	0.72∗	0.91∗	0.72∗	0.91∗
6	0.02	0.01	0.85∗	0.80∗	0.86∗	0.80∗
7	0.05	0.01	0.66∗	0.81∗	0.66∗	0.82∗
8	0.02	0.02	0.78∗	0.82∗	0.78∗	0.82∗
9	0.04	0.02	0.91∗	0.81∗	0.91∗	0.81∗
10	0.04	0.00	0.85∗	0.83∗	0.86∗	0.83∗
11	0.03	0.09#	0.84∗	0.83∗	0.84∗	0.83∗
12	0.04	0.15#	0.85∗	0.67∗	0.85∗	0.69∗

The gain estimated from low-pass (LP) and high-pass (HP) filtered series were taken individually or combined as independent variables of the model. The same procedure was applied, separately, for the BEI. The minimum sequence length was set to n = 3. BRS: baroreflex sensitivity; BEI: baroreflex effectiveness index; SAP: systolic arterial pressure; PI: pulse interval; d: delay of the sequence method; R²: the coefficient (between 0 and 1) expressing how well each model describe the dependent variable; ^#P < 0.05 for the association between the original (dependent) and LP series; ^∗P < 0.05 for the association between the original (dependent) and HP series.