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. 2019 Apr 2;10:342. doi: 10.3389/fphys.2019.00342

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Copyright © 2019 De Maria, Bari, Cairo, Vaini, Esler, Lambert, Baumert, Cerutti, Dalla Vecchia and Porta.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The scatter plots show the results of the linear correlation analysis between cBRS estimates and the sine of the tilt table angles. Each circle represents the cBRS estimate computed in a subject in the assigned experimental condition. cBRS was estimated via SEQ (A,D), PRSA (B,E), and nPRSA (C,F) methods. The cBRS estimates were obtained by separately considering positive (A–C) and negative (D–F) SAP variations. The linear regression line (solid line) and its 95% confidence interval (dotted lines) are plotted only if the Pearson correlation coefficient is significantly different from 0 with p < 0.05.