Unconstrained Estimation of HRV Indices After Removing Respiratory Influences From Heart Rate

摘要

Mean absolute percentage errors lower than $ext{1}%$ were obtained after removing previously known respiratory signals from simulated HR. The proposed indices were able to improve the quantification of SB during autonomic withdrawal. In the stress data, differences ( $p < 0.003$ ) among relaxed and stressful phases were found with the proposed approach, using both the real respiration and the EDR, but they disappeared when using the classical HRV.